From 2105565b7c1accd44b1533e96f26991c95ba669c Mon Sep 17 00:00:00 2001
From: GitHub Action <action@github.com>
Date: Tue, 8 Oct 2024 05:12:07 +0000
Subject: [PATCH] Updated datasets 2024-10-08 UTC

---
 ...Aerosol_AircraftInSitu_Electra_Data_1.json |    96 +
 datasets/ABLE-2A_Ground_Data_1.json           |    96 +
 datasets/ABLE-2A_Merge_Data_1.json            |    96 +
 ..._MetNav_AircraftInSitu_Electra_Data_1.json |    96 +
 datasets/ABLE-2A_Sondes_Data_1.json           |    96 +
 ...raceGas_AircraftInSitu_Electra_Data_1.json |    96 +
 ...Aerosol_AircraftInSitu_Electra_Data_1.json |    96 +
 datasets/ABLE-2B_Ground_Data_1.json           |    96 +
 datasets/ABLE-2B_Merge_Data_1.json            |    96 +
 ..._MetNav_AircraftInSitu_Electra_Data_1.json |    96 +
 datasets/ABLE-2B_Sondes_Data_1.json           |    96 +
 ...raceGas_AircraftInSitu_Electra_Data_1.json |    96 +
 ...raftRemoteSensing_Electra_DIAL_Data_1.json |    96 +
 datasets/ABLE-3A_Ground_Data_1.json           |    96 +
 datasets/ABLE-3A_Merge_Data_1.json            |    96 +
 ..._MetNav_AircraftInSitu_Electra_Data_1.json |    96 +
 ...raceGas_AircraftInSitu_Electra_Data_1.json |    96 +
 datasets/ABLE-3A_Trajectory_Data_1.json       |    96 +
 ...Aerosol_AircraftInSitu_Electra_Data_1.json |    96 +
 ...raftRemoteSensing_Electra_DIAL_Data_1.json |    96 +
 datasets/ABLE-3B_Ground_Data_1.json           |    96 +
 datasets/ABLE-3B_Merge_Data_1.json            |    96 +
 ..._MetNav_AircraftInSitu_Electra_Data_1.json |    96 +
 ...raceGas_AircraftInSitu_Electra_Data_1.json |    96 +
 datasets/ABLE-3B_Trajectory_Data_1.json       |    96 +
 .../ABoVE_CO2_CH4_Flux_Estimates_2121_1.json  |     4 +-
 .../ABoVE_Domain_Projected_LULC_2353_1.json   |     4 +-
 datasets/ABoVE_Fire_Severity_dNBR_1564_1.json |     4 +-
 .../ABoVE_Footprints_WRF_AK_NWCa_1896_1.json  |     4 +-
 datasets/ABoVE_Forage_Lichen_Maps_1867_1.json |     4 +-
 ...ABoVE_ForestDisturbance_Agents_1924_1.json |     4 +-
 ...ABoVE_GrowingSeason_Lake_Color_1866_1.json |     4 +-
 .../ABoVE_Izaviknek_Field_Data_1772_1.json    |     4 +-
 datasets/ABoVE_L1_P_SAR_1800_1.json           |     4 +-
 ...ABoVE_LVIS_VegetationStructure_1923_1.json |     4 +-
 .../ABoVE_NWT_2017_Field_Data_1771_1.json     |     4 +-
 .../ABoVE_Particles_WRF_AK_NWCa_1895_1.json   |     4 +-
 .../ABoVE_Plot_Data_Burned_Sites_1744_1.json  |     4 +-
 datasets/ABoVE_SAR_Surveys_2150_1.json        |     4 +-
 datasets/ABoVE_SnowModel_Data_2105_1.json     |     4 +-
 .../ABoVE_Soil_Respiration_Maps_1935_1.json   |     4 +-
 .../ABoVE_Soil_ThawDepth_Moisture_1903_1.json |     4 +-
 datasets/ABoVE_Thaw_Depth_1579_1.0.json       |     4 +-
 datasets/ABoVE_Uncertainty_Maps_1652_1.json   |     4 +-
 .../ABoVE_reference_grid_v2_1527_2.1.json     |     4 +-
 .../ACTAMERICA-PICARRO_Ground_1568_1.1.json   |     4 +-
 datasets/ACTAMERICA_Hskping_1574_1.1.json     |     4 +-
 datasets/ACTAMERICA_MFFLL_1649_1.1.json       |     4 +-
 datasets/ACTAMERICA_MFLL_L1_1817_1.json       |     4 +-
 datasets/ACTAMERICA_Merge_1593_1.2.json       |     4 +-
 datasets/ACTAMERICA_PFP_1575_1.2.json         |     4 +-
 datasets/ACTAMERICA_PICARRO_1556_1.2.json     |     4 +-
 .../ACTAMERICA_WRF_Chem_Output_1884_1.json    |     4 +-
 ...T_CASA_Ensemble_Prior_Fluxes_1675_1.1.json |     4 +-
 .../AGB_CanopyHt_Cover_NewEngland_1854_1.json |     4 +-
 .../AGB_Carbon_Sequestration_RGGI_1922_1.json |     4 +-
 datasets/AGB_Great_Slave_Lake_NWT_2365_1.json |     4 +-
 ...AGB_NEP_Disturbance_US_Forests_1829_2.json |     4 +-
 .../AGB_Pantropics_Amazon_Mexico_1824_1.json  |     4 +-
 datasets/AKFED_V1_1282_1.json                 |     4 +-
 datasets/AK_Regional_CO2_Flux_1389_1.json     |     4 +-
 .../AK_Tundra_PFT_FractionalCover_1830_1.json |     4 +-
 datasets/AK_Yukon_PFT_TopCover_2032_1.1.json  |     4 +-
 datasets/ALT_Maps_AK_CA_2332_1.json           |     4 +-
 datasets/AM1ANC_001.json                      |   120 +
 datasets/AM1ATTF_001.json                     |   120 +
 datasets/AM1ATTH0_001.json                    |   120 +
 datasets/AM1ATTHF_001.json                    |   120 +
 datasets/AM1ATTN0_001.json                    |   120 +
 datasets/AM1ATTNF_001.json                    |   112 +
 datasets/AM1EPHH0_001.json                    |   120 +
 datasets/AM1EPHN0_001.json                    |   112 +
 datasets/AMAZE-08_1308_1.json                 |     4 +-
 .../ASCENDS_AVOCET_CA_NV_Feb_2016_2115_1.json |     4 +-
 datasets/ASCENDS_LAS_IN_Sept_2014_2116_1.json |     4 +-
 datasets/ASTGTM_NC_003.json                   |     2 +-
 datasets/ASTGTM_NUMNC_003.json                |     2 +-
 datasets/ASTWBD_ATTNC_001.json                |     2 +-
 datasets/ASTWBD_NC_001.json                   |     2 +-
 datasets/ATLAS_Veg_Plots_1541_1.json          |     4 +-
 datasets/ATom_AMP_Instrument_Data_1671_1.json |     4 +-
 .../ATom_AO2_Instrument_Data_V2_1880_2.json   |     4 +-
 .../ATom_ATHOS_Instrument_Data_V2_1930_2.json |     4 +-
 .../ATom_Aerosol_Properties_V2_2111_2.1.json  |     4 +-
 .../ATom_Aerosols_Meteorology_1684_1.json     |     4 +-
 .../ATom_CAFS_Instrument_Data_V2_1933_2.json  |     4 +-
 datasets/ATom_CAPSVienna_Data_1981_1.json     |     4 +-
 datasets/ATom_CESM2_1878_1.json               |     4 +-
 .../ATom_CIT_Instrument_Data_V2_1927_2.json   |     4 +-
 datasets/ATom_CO_GEOS_1604_1.json             |     4 +-
 .../ATom_Carbon_Aerosol_Loadings_1618_1.json  |     4 +-
 datasets/ATom_Clouds_Aerosols_2250_1.json     |     4 +-
 .../ATom_DLH_Instrument_Data_V2_1937_2.json   |     4 +-
 .../ATom_FlightTrack_Influences_1889_1.json   |     4 +-
 .../ATom_Forward_Flight_Videos_1938_1.json    |     4 +-
 .../ATom_FullModel_DataStream_1877_1.json     |     4 +-
 .../ATom_GT_CIMS_Instrument_Data_1715_1.json  |     4 +-
 ...ATom_GlobalModelInitiative_CTM_1897_1.json |     4 +-
 datasets/ATom_HIPPO_ORCAS_1788_1.json         |     4 +-
 .../ATom_HR-AMS_Instrument_Data_1716_1.1.json |     4 +-
 .../ATom_ISAF_Instrument_Data_1730_1.json     |     4 +-
 datasets/ATom_MMS_Instrument_Data_1731_1.json |     4 +-
 .../ATom_Mapping_OH_Troposphere_1669_1.json   |     4 +-
 ...ATom_Medusa_Instrument_Data_V2_1881_2.json |     4 +-
 ...ATom_Mineral_Dust_Cirrus_Cloud_2006_1.json |     4 +-
 .../ATom_Modeled_Observed_Data_1857_1.json    |     4 +-
 datasets/ATom_NMASS_Data_1607_1.json          |     4 +-
 .../ATom_NOyO3_Instrument_Data_1734_1.json    |     4 +-
 datasets/ATom_Organic_Aerossols_1795_1.json   |     4 +-
 ...ATom_Ozonesonde_InstrumentData_1910_1.json |     4 +-
 .../ATom_PALMS_Instrument_Data_1733_1.json    |     4 +-
 .../ATom_PANTHER_Instrument_Data_1914_1.json  |     4 +-
 datasets/ATom_PFP_Instrument_Data_1746_1.json |     4 +-
 datasets/ATom_Particulate_Iodine_1773_1.json  |     4 +-
 datasets/ATom_Photolysis_Rates_1651_1.json    |     4 +-
 .../ATom_Picarro_Instrument_Data_1732_1.json  |     4 +-
 .../ATom_QCLS_Instrument_Data_V2_1932_2.json  |     4 +-
 .../ATom_Rad_Measurements_ARMAS_1906_1.json   |     4 +-
 .../ATom_SAGA_Instrument_Data_1748_1.json     |     4 +-
 .../ATom_SO2_LIF_Instrument_Data_1890_1.json  |     4 +-
 .../ATom_SOAP_Instrument_Data_1898_1.json     |     4 +-
 datasets/ATom_SP2_Instrument_Data_1672_1.json |     4 +-
 datasets/ATom_SP2_LAM_FeOx_MMR_1828_1.json    |     4 +-
 datasets/ATom_Simulated_Data_1597_1.json      |     4 +-
 .../ATom_TOGA_Instrument_Data_V2_1936_2.json  |     4 +-
 .../ATom_UCATS_Instrument_Data_1750_1.json    |     4 +-
 datasets/ATom_UHSAS_Data_1619_1.json          |     4 +-
 datasets/ATom_WAS_Instrument_Data_1751_1.json |     4 +-
 datasets/ATom_merge_1581_1.5.json             |     4 +-
 datasets/ATom_merge_V2_1925_2.0.json          |     4 +-
 datasets/ATom_nav_1613_1.json                 |     4 +-
 datasets/AV3_L1B_RDN_2356_1.json              |     6 +-
 datasets/AV3_L2B_GHG_2358_1.json              |     6 +-
 .../AVIRIS-Classic_L1B_Radiance_2155_1.json   |     4 +-
 .../AVIRIS-Classic_L2_Reflectance_2154_1.json |     4 +-
 datasets/AVIRIS-NG_Data_Idaho_1533_1.json     |     4 +-
 datasets/AVIRIS-NG_L1B_radiance_2095_1.json   |     4 +-
 datasets/AVIRIS-NG_L2_Reflectance_2110_1.json |     4 +-
 .../AVIRIS_FlightLine_Locator_2140_1.0.json   |     4 +-
 datasets/ActSched_001.json                    |   120 +
 datasets/Active_Layer_Thaw_Depths_1701_1.json |     4 +-
 ...Aerosol_Sulfate_LowermostStrat_1868_1.json |     4 +-
 datasets/AfriSAR_AGB_Maps_1681_1.json         |     4 +-
 .../AfriSAR_LVIS_Footprint_Cover_1591_1.json  |     4 +-
 .../AfriSAR_Mondah_Field_Data_1580_1.json     |     4 +-
 .../African_Rainfall_Patterns_1263_1.json     |     4 +-
 ...Afrisar_LVIS_Biomass_VProfiles_1775_1.json |     4 +-
 .../AirMOSS_Field_Data_Harvard_1677_1.json    |     4 +-
 datasets/AirMOSS_L1_Sigma0_BERMS_1406_1.json  |     4 +-
 datasets/AirMOSS_L1_Sigma0_Chamel_1407_1.json |     4 +-
 datasets/AirMOSS_L1_Sigma0_DukeFr_1408_1.json |     4 +-
 datasets/AirMOSS_L1_Sigma0_Harvrd_1409_1.json |     4 +-
 datasets/AirMOSS_L1_Sigma0_Howlnd_1410_1.json |     4 +-
 datasets/AirMOSS_L1_Sigma0_LaSelv_1411_1.json |     4 +-
 datasets/AirMOSS_L1_Sigma0_Metoli_1412_1.json |     4 +-
 datasets/AirMOSS_L1_Sigma0_Moisst_1413_1.json |     4 +-
 datasets/AirMOSS_L1_Sigma0_TonziR_1414_1.json |     4 +-
 datasets/AirMOSS_L1_Sigma0_Walnut_1415_1.json |     4 +-
 ...irMOSS_L2_3_RZ_Soil_Moisture_1418_1.1.json |     4 +-
 datasets/AirMOSS_L2_Carbon_Flux_1420_1.json   |     4 +-
 ...AirMOSS_L2_Inground_Soil_Moist_1416_1.json |     4 +-
 datasets/AirMOSS_L2_Precipitation_1417_1.json |     4 +-
 datasets/AirMOSS_L4_Daily_NEE_1422_1.json     |     4 +-
 .../AirMOSS_L4_RZ_Soil_Moisture_1421_1.json   |     4 +-
 datasets/AirMOSS_L4_Regional_NEE_1423_1.json  |     4 +-
 .../Airborne_Insitu_Measurements_1784_1.json  |     4 +-
 .../Alaska_Arctic_Tundra_Veg_Map_1353_1.json  |     4 +-
 datasets/Alaska_Lake_Pond_Maps_2134_1.json    |     4 +-
 datasets/Alaska_Yukon_NDVI_1614_1.json        |     4 +-
 datasets/Alaskan_CH4_CO2_Fluxes_1316_1.json   |     4 +-
 datasets/Alaskan_CO2_Flux_1325_1.1.json       |     4 +-
 .../Albedo_Boreal_North_America_1605_1.1.json |     4 +-
 datasets/Annual_Burned_Area_Maps_1708_1.json  |     4 +-
 datasets/Annual_Landcover_ABoVE_1691_1.json   |     4 +-
 ...ArcticTreeLine_Dendrometry_Env_2185_1.json |     4 +-
 .../ArcticTreeLine_Spruce_CO2_WV_1948_1.json  |     4 +-
 .../Arctic_Boreal_Burned_Area_V2_2328_2.json  |     4 +-
 datasets/Arctic_Boreal_CO2_Flux_1934_1.json   |     4 +-
 datasets/Arctic_Flux_629_1.json               |     4 +-
 datasets/Arctic_Network_Veg_plots_1542_1.json |     4 +-
 datasets/Arctic_Soil_Properties_2149_1.json   |     4 +-
 datasets/Arctic_Vegetation_Maps_1323_1.json   |     4 +-
 ...Arctic_Wildlife_Refuge_Veg_Map_1384_1.json |     4 +-
 ...Arctic_Winter_Respiration_v2_1762_2.1.json |     4 +-
 .../Arrigetch_Peaks_Veg_Plots_1358_1.json     |     4 +-
 .../Atmospheric_CO2_California_1641_1.json    |     4 +-
 datasets/Atqasuk_Veg_Plots_1371_1.json        |     4 +-
 datasets/BASIN_TCP_963_1.json                 |     4 +-
 .../BC_Aerosol_Dynamics_Alaska_1340_1.json    |     4 +-
 datasets/BDSNP_CMAQ_Model_1351_1.json         |     4 +-
 .../BFO_dsp01_ccrs_avhrr_landcover_589_1.json |     4 +-
 .../BFO_dsp01_ccrs_tm_landcover_588_1.json    |     4 +-
 .../BFO_dsp04_ers_freeze-thaw_maps_590_1.json |     4 +-
 datasets/BFO_dsp05_ccrs_avhrr_npp_591_1.json  |     4 +-
 datasets/BFO_dsp06_casi_lai_cc_592_1.json     |     4 +-
 ...BFO_dsp08_polder_surface_params_594_1.json |     4 +-
 datasets/BFO_dsp09_moss_map_595_1.json        |     4 +-
 datasets/BFO_dsp09_sask_fire_map_596_1.json   |     4 +-
 datasets/BFO_dsp10_fpar_lai_1994_585_1.json   |     4 +-
 datasets/BFO_dsp10_landcover_598_1.json       |     4 +-
 .../BFO_dsp10_landcover_tm_mosaic_602_1.json  |     4 +-
 ...FO_dsp10_landcover_tm_reclassed_597_1.json |     4 +-
 datasets/BFO_dsp10_moss_cover_599_1.json      |     4 +-
 datasets/BFO_dsp10_ndvi_600_1.json            |     4 +-
 datasets/BFO_dsp10_peatlands_601_1.json       |     4 +-
 datasets/BFO_flx01_derived_data_603_1.json    |     4 +-
 datasets/BFO_flx01_flux_met_temp_604_1.json   |     4 +-
 datasets/BFO_flx03_area_avg_flux_586_1.json   |     4 +-
 datasets/BFO_flx04_nsa_burn_flux_587_1.json   |     4 +-
 .../BFO_hmet01_goes8_level2_srb_605_1.json    |     4 +-
 datasets/BFO_hmet01_ssmi_precip_606_1.json    |     4 +-
 ...BFO_hmet02_gridded_met_phase2-3_607_1.json |     4 +-
 datasets/BFO_hmet03_hourly_met_p1_608_1.json  |     4 +-
 datasets/BFO_hmet04_src_nsa_96-98_609_1.json  |     4 +-
 .../BFO_mod01_gridded_met_p3_daily_610_1.json |     4 +-
 datasets/BIOME_BGC_4_1_1_805_1.json           |     4 +-
 datasets/BIOME_BGC_m2_4_1_2_809_1.json        |     4 +-
 datasets/BIOME_BGC_m_4_1_1_806_1.json         |     4 +-
 datasets/BLATM1B_1.json                       |     4 +-
 datasets/BLATM2_1.json                        |     4 +-
 datasets/BLVIS2_1.json                        |     4 +-
 datasets/BOREAS_CDS_1350_1.json               |     4 +-
 datasets/BOREAS_RSS-03_Snapshots_289_2.json   |     4 +-
 datasets/BOREAS_SLICER_508_2.json             |     4 +-
 datasets/BRMCR2_1.json                        |     4 +-
 .../Barrow_NGEE_Arctic_Veg_Plots_1505_1.json  |     4 +-
 datasets/Barrow_Tundra_Veg_Plots_1535_1.json  |     4 +-
 datasets/Barter_Barrow_Veg_Plots_1534_1.json  |     4 +-
 .../Biogenic_CO2flux_SIF_SMUrF_1899_1.json    |     4 +-
 .../BlueFlux_AirborneObs_Florida_2327_1.json  |     4 +-
 .../BlueFlux_Tidal_River_Water_2333_1.json    |     4 +-
 ...Blue_Carbon_Tidal_Wetland_Maps_2091_1.json |     4 +-
 .../BorealForest_Greenness_Trends_2023_1.json |     4 +-
 .../Boreal_AGB_Density_ICESat2_2186_1.json    |     4 +-
 .../Boreal_Arctic_Wetland_CH4_2351_1.json     |     4 +-
 .../Boreal_CanopyCover_StandAge_2012_1.json   |     4 +-
 .../Boreal_Fire_Severity_Metrics_1520_1.json  |     4 +-
 datasets/CARAFE_2016_2017_v2_2002_1.1.json    |     4 +-
 datasets/CARVE_Ecosystem_CH4_Flux_1558_1.json |     4 +-
 datasets/CARVE_L1_FTS_Spectra_1426_1.json     |     4 +-
 datasets/CARVE_L1_FlightPath_1425_1.json      |     4 +-
 .../CARVE_L1_FlightPath_Winds_1427_1.json     |     4 +-
 datasets/CARVE_L1_Ground_Flux_1424_1.json     |     4 +-
 datasets/CARVE_L1_Infrared_1428_1.json        |     4 +-
 datasets/CARVE_L2_AtmosGas_Ground_1419_1.json |     4 +-
 .../CARVE_L2_AtmosGas_Harvard_1403_1.json     |     4 +-
 datasets/CARVE_L2_AtmosGas_Merge_1402_1.json  |     4 +-
 datasets/CARVE_L2_AtmosGas_NOAA_1401_1.json   |     4 +-
 datasets/CARVE_L2_FTS_ColumnGas_1429_1.json   |     4 +-
 datasets/CARVE_L2_Flask_1404_1.json           |     4 +-
 datasets/CARVE_L2_Flask_Ground_1405_1.json    |     4 +-
 ...CARVE_L4_WRF-STILT_Footprint_1431_1.1.json |     4 +-
 .../CARVE_L4_WRF-STILT_Particle_1430_1.1.json |     4 +-
 datasets/CARVE_Land_Thaw_State_1383_1.1.json  |     4 +-
 datasets/CARVE_Photos_1435_1.json             |     4 +-
 datasets/CARVE_Reports_1434_1.json            |     4 +-
 datasets/CARVE_Videos_1433_1.json             |     4 +-
 datasets/CD01_BRAMS_907_1.json                |     4 +-
 .../CD01_CIRSAN_Meteorology_2001_1114_1.json  |     4 +-
 .../CD02_Atmosphere_CO2_Isotopes_1011_1.json  |     4 +-
 datasets/CD02_C_N_Isotopes_1097_1.json        |     4 +-
 datasets/CD02_C_N_O_Organic_983_1.json        |     4 +-
 .../CD02_Forest_Canopy_Structure_1009_1.json  |     4 +-
 .../CD02_Leaf_Level_Gas_Exchange_1010_1.json  |     4 +-
 .../CD02_Leaf_Water_Potential_1100_1.json     |     4 +-
 datasets/CD02_O_H_Isotopes_1008_1.json        |     4 +-
 datasets/CD03_Ceilometer_Km67_942_1.json      |     4 +-
 .../CD03_Mesoscale_Meteorology_944_1.json     |     4 +-
 datasets/CD03_Pasture_Flux_962_1.json         |     4 +-
 datasets/CD03_Tethered_Balloon_1108_1.json    |     4 +-
 datasets/CD04_Biomass_990_1.json              |     4 +-
 datasets/CD04_CO2_Profiles_947_1.json         |     4 +-
 datasets/CD04_Dendrometry_989_1.json          |     4 +-
 datasets/CD04_LAI_992_1.json                  |     4 +-
 datasets/CD04_LAI_Estimates_1103_1.json       |     4 +-
 .../CD04_Leaf_Level_Gas_Exchange_1060_1.json  |     4 +-
 datasets/CD04_Leaf_Litter_991_1.json          |     4 +-
 datasets/CD04_Logging_Damage_1038_1.json      |     4 +-
 datasets/CD04_Meteorology_Fluxes_946_1.json   |     4 +-
 datasets/CD04_Soil_Moisture_Km83_979_1.json   |     4 +-
 datasets/CD04_Soil_Respiration_1039_1.json    |     4 +-
 datasets/CD04_Tower_Flux_Gap_978_1.json       |     4 +-
 datasets/CD05_Fuel_Loads_1233_1.json          |     4 +-
 datasets/CD05_Micromet_1169_1.json            |     4 +-
 .../CD05_REE_Fuel_Sticks_Moisture_1232_1.json |     4 +-
 datasets/CD06_BGC_JiParana_1227_1.json        |     4 +-
 datasets/CD06_C02_Exchange_1136_1.json        |     4 +-
 datasets/CD06_C_Isotopes_1120_1.json          |     4 +-
 datasets/CD06_Camrex_1086_1.json              |     4 +-
 datasets/CD06_Carbon_respiration_1125_1.json  |     4 +-
 datasets/CD06_LULC_Map_JiParana_1087_1.json   |     4 +-
 ...D06_Landuse_Timeseries_JiParana_844_1.json |     4 +-
 datasets/CD06_Outgassing_1151_1.json          |     4 +-
 ...D06_Physical_Template_JiParana_1090_1.json |     4 +-
 datasets/CD06_Soils_JiParana_1088_1.json      |     4 +-
 .../CD06_Water_Balance_JiParana_1132_1.json   |     4 +-
 datasets/CD07_GOES_L3_Gridded_SRB_831_1.json  |     4 +-
 .../CD08_CWD_Res_and_Decomp_Manaus_911_1.json |     4 +-
 .../CD08_C_Isotopes_Belowground_1025_1.json   |     4 +-
 .../CD08_Ecosystem_Resp_Manaus_912_1.json     |     4 +-
 .../CD08_Leaf_Isotopes_Manaus_1245_1.json     |     4 +-
 datasets/CD08_Radiocarbon_Dates_997_1.json    |     4 +-
 .../CD08_Radiocarbon_Dates_Manaus_996_1.json  |     4 +-
 datasets/CD08_Tree_Growth_Manaus_1194_1.json  |     4 +-
 datasets/CD08_Tree_Inventory_Ducke_910_1.json |     4 +-
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 create mode 100644 datasets/PEM-West-B_Model_Data_1.json
 create mode 100644 datasets/PEM-West-B_Satellite_Data_1.json
 create mode 100644 datasets/PEM-West-B_TraceGas_AircraftInSitu_DC8_Data_1.json
 create mode 100644 datasets/PEM-West-B_Trajectory_Data_1.json
 create mode 100644 datasets/PREFIRE_SAT1_0-BUS-TLM_R01.json
 create mode 100644 datasets/PREFIRE_SAT1_0-PAYLOAD-TLM_R01.json
 create mode 100644 datasets/PREFIRE_SAT1_0-PAYLOAD_R01.json
 create mode 100644 datasets/TEMPO_CLDO4_L2_V02.json
 create mode 100644 datasets/TEMPO_CLDO4_L3_V02.json
 create mode 100644 datasets/TEMPO_CLDRR_L3_V01.json
 create mode 100644 datasets/TEMPO_HCHO-PROXY_L2_V01.json
 create mode 100644 datasets/TEMPO_HCHO-PROXY_L2_V02.json
 create mode 100644 datasets/TEMPO_HCHO_L2_V02.json
 create mode 100644 datasets/TEMPO_HCHO_L3_V02.json
 create mode 100644 datasets/TEMPO_NO2-PROXY_L2_V02.json
 create mode 100644 datasets/TEMPO_NO2-PROXY_L3_V01.json
 create mode 100644 datasets/TEMPO_NO2_L2_V02.json
 create mode 100644 datasets/TEMPO_NO2_L3_V02.json
 create mode 100644 datasets/TEMPO_O3PROF-PROXY_L2_V02.json
 create mode 100644 datasets/TEMPO_O3PROF_L2_V01.json
 create mode 100644 datasets/TEMPO_O3PROF_L2_V02.json
 create mode 100644 datasets/TEMPO_O3PROF_L2_V03.json
 create mode 100644 datasets/TEMPO_O3PROF_L3_V01.json
 create mode 100644 datasets/TEMPO_O3PROF_L3_V02.json
 create mode 100644 datasets/TEMPO_O3PROF_L3_V03.json
 create mode 100644 datasets/TEMPO_O3TOT_L2_V02.json
 create mode 100644 datasets/TEMPO_O3TOT_L3_V02.json
 create mode 100644 datasets/TEMPO_RADT_L1_V01.json
 create mode 100644 datasets/TEMPO_RADT_L1_V02.json
 create mode 100644 datasets/TL1BL_004.json
 create mode 100644 datasets/TL3ATD_004.json
 create mode 100644 datasets/TL3CH4D_004.json
 create mode 100644 datasets/TL3COD_4.json
 create mode 100644 datasets/TL3COM_6.json
 create mode 100644 datasets/TL3H2OD_4.json
 create mode 100644 datasets/TL3H2OM_3.json
 create mode 100644 datasets/TL3HDOD_4.json
 create mode 100644 datasets/TL3O3D_004.json
 create mode 100644 datasets/TML2CO_001.json
 create mode 100644 datasets/UTCPoleT_001.json
 create mode 100644 datasets/g3blsp_051.json
 create mode 100644 datasets/g3blsp_5.json
 create mode 100644 datasets/g3blspb_5.json
 create mode 100644 datasets/g3blspb_51.json
 create mode 100644 datasets/g3bssmc_52.json
 create mode 100644 datasets/g3bssmc_53.json
 create mode 100644 datasets/g3bssp_5.json
 create mode 100644 datasets/g3bssp_51.json
 create mode 100644 datasets/g3bsspb_5.json
 create mode 100644 datasets/g3bsspb_51.json
 create mode 100644 datasets/g3bt_5.json
 create mode 100644 datasets/g3bt_51.json
 create mode 100644 datasets/g3btb_5.json
 create mode 100644 datasets/g3btb_51.json

diff --git a/datasets/ABLE-2A_Aerosol_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-2A_Aerosol_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..f135271470
--- /dev/null
+++ b/datasets/ABLE-2A_Aerosol_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2A_Aerosol_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2A_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165326945-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165326945-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165326945-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165326945-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165326945-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Aerosol_AircraftInSitu_Electra_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Aerosol_AircraftInSitu_Electra_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2A Electra In-Situ Aerosol Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -76.3,
+                    -7.2,
+                    -47.48,
+                    37.1
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1985-07-11T00:00:00Z",
+                    "1985-08-15T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2A_Ground_Data_1.json b/datasets/ABLE-2A_Ground_Data_1.json
new file mode 100644
index 0000000000..231913cb6b
--- /dev/null
+++ b/datasets/ABLE-2A_Ground_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2A_Ground_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2A_Ground_Data is the ground site data collected during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign.  Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165325881-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165325881-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165325881-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165325881-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165325881-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Ground_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Ground_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2A Ground Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -76.3,
+                    -7.2,
+                    -47.48,
+                    37.1
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1985-07-11T00:00:00Z",
+                    "1985-08-15T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2A_Merge_Data_1.json b/datasets/ABLE-2A_Merge_Data_1.json
new file mode 100644
index 0000000000..e546134c96
--- /dev/null
+++ b/datasets/ABLE-2A_Merge_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2A_Merge_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2A_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165312896-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165312896-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165312896-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165312896-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165312896-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Merge_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Merge_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2A Merge Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -76.3,
+                    -7.2,
+                    -47.48,
+                    37.1
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1985-07-11T00:00:00Z",
+                    "1985-08-15T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2A_MetNav_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-2A_MetNav_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..87d1efa99f
--- /dev/null
+++ b/datasets/ABLE-2A_MetNav_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2A_MetNav_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2A_MetNav_AircraftInSitu_Electra_Data is the in-situ meteorology and navigational data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165179338-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165179338-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165179338-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165179338-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165179338-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_MetNav_AircraftInSitu_Electra_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_MetNav_AircraftInSitu_Electra_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2A Electra Meteorological and Navigational Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -76.3,
+                    -7.2,
+                    -47.48,
+                    37.1
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1985-07-11T00:00:00Z",
+                    "1985-08-15T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2A_Sondes_Data_1.json b/datasets/ABLE-2A_Sondes_Data_1.json
new file mode 100644
index 0000000000..e5a7918c8c
--- /dev/null
+++ b/datasets/ABLE-2A_Sondes_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2A_Sondes_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2A_Sondes_Data is the radiosonde and rawinsonde data collected during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165316389-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165316389-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165316389-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165316389-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165316389-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Sondes_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Sondes_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2A Sondes Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -76.3,
+                    -7.2,
+                    -47.48,
+                    37.1
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1985-07-11T00:00:00Z",
+                    "1985-08-15T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2A_TraceGas_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-2A_TraceGas_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..4f17f2402c
--- /dev/null
+++ b/datasets/ABLE-2A_TraceGas_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2A_TraceGas_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2A_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data using chemiluminescence, gas traps, cryogenic air samples, and IR lasers are featured in this collection. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165188064-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165188064-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165188064-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165188064-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165188064-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_TraceGas_AircraftInSitu_Electra_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_TraceGas_AircraftInSitu_Electra_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2A Electra In-Situ Trace Gas Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -76.3,
+                    -7.2,
+                    -47.48,
+                    37.1
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1985-07-11T00:00:00Z",
+                    "1985-08-15T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2B_Aerosol_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-2B_Aerosol_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..c00d215bbc
--- /dev/null
+++ b/datasets/ABLE-2B_Aerosol_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2B_Aerosol_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2B_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322297-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322297-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322297-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322297-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322297-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Aerosol_AircraftInSitu_Electra_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Aerosol_AircraftInSitu_Electra_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2B Electra In-Situ Aerosol Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -81.47,
+                    -84.1,
+                    -31.29,
+                    37.54
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1987-04-01T00:00:00Z",
+                    "1987-05-15T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2B_Ground_Data_1.json b/datasets/ABLE-2B_Ground_Data_1.json
new file mode 100644
index 0000000000..79cd26b074
--- /dev/null
+++ b/datasets/ABLE-2B_Ground_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2B_Ground_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2B_Ground_Data is the ground data collected during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data using grab samples are featured in this collection. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322023-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322023-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322023-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322023-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322023-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Ground_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Ground_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2B Ground Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -81.47,
+                    -84.1,
+                    -31.29,
+                    37.54
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1987-04-01T00:00:00Z",
+                    "1987-05-15T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2B_Merge_Data_1.json b/datasets/ABLE-2B_Merge_Data_1.json
new file mode 100644
index 0000000000..b3475983b9
--- /dev/null
+++ b/datasets/ABLE-2B_Merge_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2B_Merge_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2B_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data using chemiluminescence, gas traps, and grab samples are featured in this collection. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
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+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321623-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321623-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321623-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321623-LARC_CLOUD.json",
+            "type": "application/json",
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+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321623-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Merge_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Merge_Data_1/items",
+            "type": "application/json"
+        }
+    ],
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+            "roles": [
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+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
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+    ],
+    "title": "ABLE-2B Merge Data",
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+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2B_MetNav_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-2B_MetNav_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..168066f375
--- /dev/null
+++ b/datasets/ABLE-2B_MetNav_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2B_MetNav_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2B_MetNav_AircraftInSitu_Electra_Data is the in-situ meteorology and navigational data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
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+        {
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+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
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+            "title": "EOSDIS Data Use Policy"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165311959-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
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+            "type": "application/xml",
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+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
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+        },
+        {
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+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
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+        }
+    ],
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+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
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+    ],
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+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2B_Sondes_Data_1.json b/datasets/ABLE-2B_Sondes_Data_1.json
new file mode 100644
index 0000000000..dbcf24a0f7
--- /dev/null
+++ b/datasets/ABLE-2B_Sondes_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2B_Sondes_Data_1",
+    "stac_version": "1.0.0",
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+    "links": [
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+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
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+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321881-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321881-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321881-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321881-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
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+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
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+        {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Sondes_Data_1",
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+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
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+            "roles": [
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+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2B Sondes Data",
+    "extent": {
+        "spatial": {
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+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-2B_TraceGas_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-2B_TraceGas_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..e7e7e4f7d8
--- /dev/null
+++ b/datasets/ABLE-2B_TraceGas_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-2B_TraceGas_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-2B_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data using chemiluminescence, gas traps, and grab samples are featured in this collection. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.  \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165308094-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165308094-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165308094-LARC_CLOUD.echo10",
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+        },
+        {
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+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_TraceGas_AircraftInSitu_Electra_Data_1",
+            "type": "application/json"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
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+        },
+        {
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+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-2B Electra In-Situ Trace Gas Data",
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+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data_1.json b/datasets/ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data_1.json
new file mode 100644
index 0000000000..0a2bfc71dc
--- /dev/null
+++ b/datasets/ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165276566-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165276566-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165276566-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165276566-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165276566-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3A Electra Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -168.402,
+                    37.082,
+                    -55.443,
+                    83.332
+                ]
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+        },
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+            "interval": [
+                [
+                    "1988-07-07T00:00:00Z",
+                    "1988-08-18T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3A_Ground_Data_1.json b/datasets/ABLE-3A_Ground_Data_1.json
new file mode 100644
index 0000000000..a81e31bb62
--- /dev/null
+++ b/datasets/ABLE-3A_Ground_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3A_Ground_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3A_Ground_Data is the ground site data collected during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data from the Harvard CO2 instrument and mist chambers are featured in this collection. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165274569-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165274569-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165274569-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165274569-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165274569-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_Ground_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_Ground_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3A Ground Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -168.402,
+                    37.082,
+                    -55.443,
+                    83.332
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1988-07-07T00:00:00Z",
+                    "1988-08-18T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3A_Merge_Data_1.json b/datasets/ABLE-3A_Merge_Data_1.json
new file mode 100644
index 0000000000..f891da000a
--- /dev/null
+++ b/datasets/ABLE-3A_Merge_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3A_Merge_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3A_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165320026-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165320026-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165320026-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165320026-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165320026-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_Merge_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_Merge_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3A Merge Data",
+    "extent": {
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+            "bbox": [
+                [
+                    -168.402,
+                    37.082,
+                    -55.443,
+                    83.332
+                ]
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+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1988-07-07T00:00:00Z",
+                    "1988-08-18T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3A_MetNav_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-3A_MetNav_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..f62f92eb4b
--- /dev/null
+++ b/datasets/ABLE-3A_MetNav_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3A_MetNav_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3A_MetNav_AircraftInSitu_Electra_Data is the in-situ meteorology and navigational data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165275821-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165275821-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165275821-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165275821-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165275821-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_MetNav_AircraftInSitu_Electra_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_MetNav_AircraftInSitu_Electra_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3A Electra Meteorological and Navigational Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -168.402,
+                    37.082,
+                    -55.443,
+                    83.332
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+            "interval": [
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+                    "1988-07-07T00:00:00Z",
+                    "1988-08-18T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3A_TraceGas_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-3A_TraceGas_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..5252c3c0a5
--- /dev/null
+++ b/datasets/ABLE-3A_TraceGas_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3A_TraceGas_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3A_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data using grab samples, gas chromatography, and Laser Induced Fluorescence (LIF) are featured in this collection. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165277809-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165277809-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165277809-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165277809-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165277809-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_TraceGas_AircraftInSitu_Electra_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_TraceGas_AircraftInSitu_Electra_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3A Electra In-Situ Trace Gas Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -168.402,
+                    37.082,
+                    -55.443,
+                    83.332
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1988-07-07T00:00:00Z",
+                    "1988-08-18T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3A_Trajectory_Data_1.json b/datasets/ABLE-3A_Trajectory_Data_1.json
new file mode 100644
index 0000000000..9582d6c3e3
--- /dev/null
+++ b/datasets/ABLE-3A_Trajectory_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3A_Trajectory_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3A_Trajectory_Data is the trajectory data collected during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165255582-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165255582-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165255582-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165255582-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165255582-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_Trajectory_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_Trajectory_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3A Trajectory",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -168.402,
+                    37.082,
+                    -55.443,
+                    83.332
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1988-07-07T00:00:00Z",
+                    "1988-08-18T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3B_Aerosol_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-3B_Aerosol_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..21774686bd
--- /dev/null
+++ b/datasets/ABLE-3B_Aerosol_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3B_Aerosol_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3B_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data using mist chambers and teflon filters are featured in this collection. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165239767-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165239767-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165239767-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165239767-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165239767-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3B_Aerosol_AircraftInSitu_Electra_Data_1",
+            "type": "application/json"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3B_Aerosol_AircraftInSitu_Electra_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3B Electra In-Situ Aerosol Gas Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -106.178,
+                    37.053,
+                    -49.4,
+                    63.748
+                ]
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+        },
+        "temporal": {
+            "interval": [
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+                    "1990-08-18T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data_1.json b/datasets/ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data_1.json
new file mode 100644
index 0000000000..7f096c79f8
--- /dev/null
+++ b/datasets/ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165249715-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165249715-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165249715-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165249715-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165249715-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3B Electra Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -106.178,
+                    37.053,
+                    -49.4,
+                    63.748
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-06-11T00:00:00Z",
+                    "1990-08-18T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3B_Ground_Data_1.json b/datasets/ABLE-3B_Ground_Data_1.json
new file mode 100644
index 0000000000..6003cc30ae
--- /dev/null
+++ b/datasets/ABLE-3B_Ground_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3B_Ground_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3B_Ground_Data is the ground site data collected during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data from the High-Altitude Fast-Response CO2 Analyzer (Harvard CO2) instrument are featured in this collection. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165206975-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165206975-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165206975-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165206975-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
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+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_Ground_Data_1",
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+        {
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+        {
+            "name": "LARC_CLOUD",
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+                "host"
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+}
\ No newline at end of file
diff --git a/datasets/ABLE-3B_Merge_Data_1.json b/datasets/ABLE-3B_Merge_Data_1.json
new file mode 100644
index 0000000000..b0e8b23f0d
--- /dev/null
+++ b/datasets/ABLE-3B_Merge_Data_1.json
@@ -0,0 +1,96 @@
+{
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+}
\ No newline at end of file
diff --git a/datasets/ABLE-3B_MetNav_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-3B_MetNav_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..95c58bd3d5
--- /dev/null
+++ b/datasets/ABLE-3B_MetNav_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3B_MetNav_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
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+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3B Electra Meteorological and Navigational Data",
+    "extent": {
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+                    -49.4,
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+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABLE-3B_TraceGas_AircraftInSitu_Electra_Data_1.json b/datasets/ABLE-3B_TraceGas_AircraftInSitu_Electra_Data_1.json
new file mode 100644
index 0000000000..933af97e97
--- /dev/null
+++ b/datasets/ABLE-3B_TraceGas_AircraftInSitu_Electra_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3B_TraceGas_AircraftInSitu_Electra_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3B_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data using grab samples, gas chromatography, Laser Induced Fluorescence (LIF), and the Differential Absorption CO, CH4, N2O Measurements (DACOM) instrument are featured in this collection. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
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+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165251279-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165251279-LARC_CLOUD.native",
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+        {
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+        },
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3B_TraceGas_AircraftInSitu_Electra_Data_1",
+            "type": "application/json"
+        },
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+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3B_TraceGas_AircraftInSitu_Electra_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3B Electra In-Situ Trace Gas Data",
+    "extent": {
+        "spatial": {
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+                [
+                    -106.178,
+                    37.053,
+                    -49.4,
+                    63.748
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+}
\ No newline at end of file
diff --git a/datasets/ABLE-3B_Trajectory_Data_1.json b/datasets/ABLE-3B_Trajectory_Data_1.json
new file mode 100644
index 0000000000..4a53316b68
--- /dev/null
+++ b/datasets/ABLE-3B_Trajectory_Data_1.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "ABLE-3B_Trajectory_Data_1",
+    "stac_version": "1.0.0",
+    "description": "ABLE-3B_Trajectory_Data is the trajectory data collected during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data collection for this product is complete. \r\n\r\nFrom 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990. \r\n\r\n \r\n\r\nTo accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165201070-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165201070-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165201070-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165201070-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3165201070-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_Trajectory_Data_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_Trajectory_Data_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "ABLE-3B Trajectory Data",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -106.178,
+                    37.053,
+                    -49.4,
+                    63.748
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-06-11T00:00:00Z",
+                    "1990-08-18T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/ABoVE_CO2_CH4_Flux_Estimates_2121_1.json b/datasets/ABoVE_CO2_CH4_Flux_Estimates_2121_1.json
index b6e40d05de..db8b85881e 100644
--- a/datasets/ABoVE_CO2_CH4_Flux_Estimates_2121_1.json
+++ b/datasets/ABoVE_CO2_CH4_Flux_Estimates_2121_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/ABoVE_Domain_Projected_LULC_2353_1.json b/datasets/ABoVE_Domain_Projected_LULC_2353_1.json
index e1fe16fc3b..a656b2b8bc 100644
--- a/datasets/ABoVE_Domain_Projected_LULC_2353_1.json
+++ b/datasets/ABoVE_Domain_Projected_LULC_2353_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/ABoVE_Fire_Severity_dNBR_1564_1.json b/datasets/ABoVE_Fire_Severity_dNBR_1564_1.json
index 9cbc363095..66612cf3e4 100644
--- a/datasets/ABoVE_Fire_Severity_dNBR_1564_1.json
+++ b/datasets/ABoVE_Fire_Severity_dNBR_1564_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/ABoVE_Footprints_WRF_AK_NWCa_1896_1.json b/datasets/ABoVE_Footprints_WRF_AK_NWCa_1896_1.json
index a31b2112e5..d2a1a4841f 100644
--- a/datasets/ABoVE_Footprints_WRF_AK_NWCa_1896_1.json
+++ b/datasets/ABoVE_Footprints_WRF_AK_NWCa_1896_1.json
@@ -42,7 +42,7 @@
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index b790ad5ae7..f6e3488d3f 100644
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index 77204ea8ea..d6da19a607 100644
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index 1b265d5d2a..a59b9875d3 100644
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index e39655f306..ad8408be89 100644
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index e96cacf1b9..dc6f6e96c6 100644
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index 16df922801..b9e91901d7 100644
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index 909967f037..0f90d62b2a 100644
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index 9d6015d826..aa2c433749 100644
--- a/datasets/ACTAMERICA_MFFLL_1649_1.1.json
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index 1889f566b4..ce7b3d64b6 100644
--- a/datasets/ACTAMERICA_MFLL_L1_1817_1.json
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diff --git a/datasets/ACTAMERICA_Merge_1593_1.2.json b/datasets/ACTAMERICA_Merge_1593_1.2.json
index 7ac9169705..652c86a597 100644
--- a/datasets/ACTAMERICA_Merge_1593_1.2.json
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index ef3fa4cebf..3e0f4f2a76 100644
--- a/datasets/ACTAMERICA_PFP_1575_1.2.json
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diff --git a/datasets/ACTAMERICA_PICARRO_1556_1.2.json b/datasets/ACTAMERICA_PICARRO_1556_1.2.json
index d1740fa59f..7555641849 100644
--- a/datasets/ACTAMERICA_PICARRO_1556_1.2.json
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index 045c9a1b02..3005fb5390 100644
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diff --git a/datasets/AGB_Great_Slave_Lake_NWT_2365_1.json b/datasets/AGB_Great_Slave_Lake_NWT_2365_1.json
index 614d242305..1adec3de62 100644
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diff --git a/datasets/AGB_NEP_Disturbance_US_Forests_1829_2.json b/datasets/AGB_NEP_Disturbance_US_Forests_1829_2.json
index c1c4d34730..cb068c5eb1 100644
--- a/datasets/AGB_NEP_Disturbance_US_Forests_1829_2.json
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diff --git a/datasets/AGB_Pantropics_Amazon_Mexico_1824_1.json b/datasets/AGB_Pantropics_Amazon_Mexico_1824_1.json
index 6998a52f45..108d2220a8 100644
--- a/datasets/AGB_Pantropics_Amazon_Mexico_1824_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/AKFED_V1_1282_1.json b/datasets/AKFED_V1_1282_1.json
index aa89509f08..8507a2f74f 100644
--- a/datasets/AKFED_V1_1282_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/AK_Regional_CO2_Flux_1389_1.json b/datasets/AK_Regional_CO2_Flux_1389_1.json
index 6f22ef4125..411b6be07e 100644
--- a/datasets/AK_Regional_CO2_Flux_1389_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/AK_Tundra_PFT_FractionalCover_1830_1.json b/datasets/AK_Tundra_PFT_FractionalCover_1830_1.json
index df38144ac4..66d805efb4 100644
--- a/datasets/AK_Tundra_PFT_FractionalCover_1830_1.json
+++ b/datasets/AK_Tundra_PFT_FractionalCover_1830_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/AK_Yukon_PFT_TopCover_2032_1.1.json b/datasets/AK_Yukon_PFT_TopCover_2032_1.1.json
index af4fccdbec..0f5bc2cd18 100644
--- a/datasets/AK_Yukon_PFT_TopCover_2032_1.1.json
+++ b/datasets/AK_Yukon_PFT_TopCover_2032_1.1.json
@@ -42,7 +42,7 @@
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index 20c0e05f37..39961a07b7 100644
--- a/datasets/ALT_Maps_AK_CA_2332_1.json
+++ b/datasets/ALT_Maps_AK_CA_2332_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/AM1ANC_001.json b/datasets/AM1ANC_001.json
new file mode 100644
index 0000000000..3966795238
--- /dev/null
+++ b/datasets/AM1ANC_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "AM1ANC_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862778781-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862778781-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862778781-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862778781-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862778781-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ANC_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ANC_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable AM1ANC",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/AM1ATTF_001.json b/datasets/AM1ATTF_001.json
new file mode 100644
index 0000000000..60b814e9c1
--- /dev/null
+++ b/datasets/AM1ATTF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "AM1ATTF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR TADS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843684614-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843684614-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843684614-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843684614-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843684614-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/AM1ATTF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/AM1ATTF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR TADS Non-orderable",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/AM1ATTH0_001.json b/datasets/AM1ATTH0_001.json
new file mode 100644
index 0000000000..7f48e0e78b
--- /dev/null
+++ b/datasets/AM1ATTH0_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "AM1ATTH0_001",
+    "stac_version": "1.0.0",
+    "description": "MISR AM1ATTH0 S4PM Non-orderable",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950962-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950962-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950962-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950962-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950962-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ATTH0_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ATTH0_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR AM1ATTH0 S4PM Non-orderable",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/AM1ATTHF_001.json b/datasets/AM1ATTHF_001.json
new file mode 100644
index 0000000000..ef582acaf2
--- /dev/null
+++ b/datasets/AM1ATTHF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "AM1ATTHF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR AM1ATTHF S4PM Non-orderable",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950980-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950980-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950980-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950980-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950980-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ATTHF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ATTHF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR AM1ATTHF S4PM Non-orderable",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/AM1ATTN0_001.json b/datasets/AM1ATTN0_001.json
new file mode 100644
index 0000000000..4b2fc101b0
--- /dev/null
+++ b/datasets/AM1ATTN0_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "AM1ATTN0_001",
+    "stac_version": "1.0.0",
+    "description": "MISR AM1ATTN0 S4PM Non-orderable",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950944-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950944-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950944-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950944-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950944-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ATTN0_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ATTN0_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR AM1ATTN0 S4PM Non-orderable",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/AM1ATTNF_001.json b/datasets/AM1ATTNF_001.json
new file mode 100644
index 0000000000..249c43ad47
--- /dev/null
+++ b/datasets/AM1ATTNF_001.json
@@ -0,0 +1,112 @@
+{
+    "type": "Collection",
+    "id": "AM1ATTNF_001",
+    "stac_version": "1.0.0",
+    "description": "This collection consists of AM-1 Platform Attitude Data that has been pre-processed by ECS to an internal standard supported by the ECS SDP Toolkit; the attitude data source is FDD analysis.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768036-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768036-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768036-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768036-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768036-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/AM1ATTNF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/AM1ATTNF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "Preprocessed AM-1 Platform Attitude Data from FDD in Native format. V001",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1997-07-31T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/AM1EPHH0_001.json b/datasets/AM1EPHH0_001.json
new file mode 100644
index 0000000000..98c8eb1239
--- /dev/null
+++ b/datasets/AM1EPHH0_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "AM1EPHH0_001",
+    "stac_version": "1.0.0",
+    "description": "MISR AM1EPHH0 S4PM Non-orderable",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950967-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950967-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950967-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950967-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950967-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1EPHH0_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1EPHH0_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR AM1EPHH0 S4PM Non-orderable",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/AM1EPHN0_001.json b/datasets/AM1EPHN0_001.json
new file mode 100644
index 0000000000..bf2ad9630c
--- /dev/null
+++ b/datasets/AM1EPHN0_001.json
@@ -0,0 +1,112 @@
+{
+    "type": "Collection",
+    "id": "AM1EPHN0_001",
+    "stac_version": "1.0.0",
+    "description": "This collection consists of AM-1 Platform Ephemeris Data that has been pre-processed by ECS to an internal standard supported by the ECS SDP Toolkit; the ephemeris data source is AM-1 measurements.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768143-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768143-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768143-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768143-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768143-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/AM1EPHN0_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/AM1EPHN0_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "Preprocessed AM-1 Platform Ephemeris Data from L0 in Native format. V001",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1997-07-31T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/AMAZE-08_1308_1.json b/datasets/AMAZE-08_1308_1.json
index 410e445f82..0e81fcb4af 100644
--- a/datasets/AMAZE-08_1308_1.json
+++ b/datasets/AMAZE-08_1308_1.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlybW9zczogbDIvMyB2b2x1bWV0cmljIHNvaWwgbW9pc3R1cmUgcHJvZmlsZXMgZGVyaXZlZCBmcm9tIHJhZGFyLCAyMDEyLTIwMTVcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDJfM19SWl9Tb2lsX01vaXN0dXJlXzE0MThcIixcIjEuMVwiLDIyNzQ3MzMzMjksNl0iLCJ1bW0iOiJbXCJhaXJtb3NzOiBsMi8zIHZvbHVtZXRyaWMgc29pbCBtb2lzdHVyZSBwcm9maWxlcyBkZXJpdmVkIGZyb20gcmFkYXIsIDIwMTItMjAxNVwiLFwiT1JOTF9DTE9VRFwiLFwiQWlyTU9TU19MMl8zX1JaX1NvaWxfTW9pc3R1cmVfMTQxOFwiLFwiMS4xXCIsMjI3NDczMzMyOSw2XSJ9/AMAZE-08_1308_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIiwidW1tIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIn0%3D/AMAZE-08_1308_1",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlybW9zczogbDIvMyB2b2x1bWV0cmljIHNvaWwgbW9pc3R1cmUgcHJvZmlsZXMgZGVyaXZlZCBmcm9tIHJhZGFyLCAyMDEyLTIwMTVcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDJfM19SWl9Tb2lsX01vaXN0dXJlXzE0MThcIixcIjEuMVwiLDIyNzQ3MzMzMjksNl0iLCJ1bW0iOiJbXCJhaXJtb3NzOiBsMi8zIHZvbHVtZXRyaWMgc29pbCBtb2lzdHVyZSBwcm9maWxlcyBkZXJpdmVkIGZyb20gcmFkYXIsIDIwMTItMjAxNVwiLFwiT1JOTF9DTE9VRFwiLFwiQWlyTU9TU19MMl8zX1JaX1NvaWxfTW9pc3R1cmVfMTQxOFwiLFwiMS4xXCIsMjI3NDczMzMyOSw2XSJ9/AMAZE-08_1308_1/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIiwidW1tIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIn0%3D/AMAZE-08_1308_1/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/ASCENDS_AVOCET_CA_NV_Feb_2016_2115_1.json b/datasets/ASCENDS_AVOCET_CA_NV_Feb_2016_2115_1.json
index a779e9d034..990ed39d49 100644
--- a/datasets/ASCENDS_AVOCET_CA_NV_Feb_2016_2115_1.json
+++ b/datasets/ASCENDS_AVOCET_CA_NV_Feb_2016_2115_1.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMgb24gdW5hbGFza2EgaXNsYW5kLCBhbGV1dGlhbiBpc2xhbmRzLCBhbGFza2EsIDIwMDdcIixcIk9STkxfQ0xPVURcIixcIlVuYWxhc2thX1ZlZ19QbG90c18xMzc1XCIsXCIxXCIsMjE3MDk2OTkxOSw1XSIsInVtbSI6IltcImFyY3RpYyB2ZWdldGF0aW9uIHBsb3RzIG9uIHVuYWxhc2thIGlzbGFuZCwgYWxldXRpYW4gaXNsYW5kcywgYWxhc2thLCAyMDA3XCIsXCJPUk5MX0NMT1VEXCIsXCJVbmFsYXNrYV9WZWdfUGxvdHNfMTM3NVwiLFwiMVwiLDIxNzA5Njk5MTksNV0ifQ%3D%3D/ASCENDS_AVOCET_CA_NV_Feb_2016_2115_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMsIHBvcGxhcnMsIGFyY3RpYyBhbmQgaW50ZXJpb3IgYWsgYW5kIHl0LCBjYW5hZGEsIDIwMDMtMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiUG9wbGFyX1ZlZ19QbG90c18xMzc2XCIsXCIxXCIsMjE3MDk2OTk0MSw1XSIsInVtbSI6IltcImFyY3RpYyB2ZWdldGF0aW9uIHBsb3RzLCBwb3BsYXJzLCBhcmN0aWMgYW5kIGludGVyaW9yIGFrIGFuZCB5dCwgY2FuYWRhLCAyMDAzLTIwMDVcIixcIk9STkxfQ0xPVURcIixcIlBvcGxhcl9WZWdfUGxvdHNfMTM3NlwiLFwiMVwiLDIxNzA5Njk5NDEsNV0ifQ%3D%3D/ASCENDS_AVOCET_CA_NV_Feb_2016_2115_1",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
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index 119376829d..79129dadcb 100644
--- a/datasets/ASCENDS_LAS_IN_Sept_2014_2116_1.json
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diff --git a/datasets/ASTGTM_NC_003.json b/datasets/ASTGTM_NC_003.json
index d31d897108..9d16b8de60 100644
--- a/datasets/ASTGTM_NC_003.json
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index d7a219e56a..184eda0be9 100644
--- a/datasets/ASTGTM_NUMNC_003.json
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@@ -97,7 +97,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/ASTWBD_ATTNC_001.json b/datasets/ASTWBD_ATTNC_001.json
index 86a577ae05..8cecb0220c 100644
--- a/datasets/ASTWBD_ATTNC_001.json
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index 5c04c1c55c..c0e6539682 100644
--- a/datasets/ASTWBD_NC_001.json
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index 78f3e7b7d1..65057f6584 100644
--- a/datasets/ATLAS_Veg_Plots_1541_1.json
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index 97a118ac3b..fef9dd2f36 100644
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index c01b215ecf..9e8a93a99c 100644
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index efa15b0a3b..33b1f9c24b 100644
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index dd4fb43714..d4a5952db8 100644
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index e0342b2a4d..68870be72b 100644
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index 31173f2474..3ce026fa61 100644
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index 21027ab4f0..11136ff233 100644
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index 5652b9d3cd..e0eaa36c4b 100644
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index 3065270e43..13a7270092 100644
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index 9d9d090443..47c70bcd50 100644
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index cdad6c530d..86a4a63b8e 100644
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diff --git a/datasets/AVIRIS-NG_L1B_radiance_2095_1.json b/datasets/AVIRIS-NG_L1B_radiance_2095_1.json
index 64538ddd43..50eb1b3969 100644
--- a/datasets/AVIRIS-NG_L1B_radiance_2095_1.json
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@@ -42,7 +42,7 @@
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         {
@@ -53,7 +53,7 @@
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         {
             "rel": "items",
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diff --git a/datasets/AVIRIS-NG_L2_Reflectance_2110_1.json b/datasets/AVIRIS-NG_L2_Reflectance_2110_1.json
index 79c017b810..96e2a782f9 100644
--- a/datasets/AVIRIS-NG_L2_Reflectance_2110_1.json
+++ b/datasets/AVIRIS-NG_L2_Reflectance_2110_1.json
@@ -42,7 +42,7 @@
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             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
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         {
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diff --git a/datasets/AVIRIS_FlightLine_Locator_2140_1.0.json b/datasets/AVIRIS_FlightLine_Locator_2140_1.0.json
index 5b8db183ef..4d6c418d09 100644
--- a/datasets/AVIRIS_FlightLine_Locator_2140_1.0.json
+++ b/datasets/AVIRIS_FlightLine_Locator_2140_1.0.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXRvbTogc3VsZnVyIGRpb3hpZGUgYnkgbGFzZXIgaW5kdWNlZCBmbHVvcmVzY2VuY2UgKGxpZi1zbzIpIGZvciBhdG9tLTQgY2FtcGFpZ25cIixcIk9STkxfQ0xPVURcIixcIkFUb21fU08yX0xJRl9JbnN0cnVtZW50X0RhdGFfMTg5MFwiLFwiMVwiLDI2NzcxOTM0NTIsNF0iLCJ1bW0iOiJbXCJhdG9tOiBzdWxmdXIgZGlveGlkZSBieSBsYXNlciBpbmR1Y2VkIGZsdW9yZXNjZW5jZSAobGlmLXNvMikgZm9yIGF0b20tNCBjYW1wYWlnblwiLFwiT1JOTF9DTE9VRFwiLFwiQVRvbV9TTzJfTElGX0luc3RydW1lbnRfRGF0YV8xODkwXCIsXCIxXCIsMjY3NzE5MzQ1Miw0XSJ9/AVIRIS_FlightLine_Locator_2140_1.0",
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         },
         {
@@ -53,7 +53,7 @@
         },
         {
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diff --git a/datasets/ActSched_001.json b/datasets/ActSched_001.json
new file mode 100644
index 0000000000..cbee343fcd
--- /dev/null
+++ b/datasets/ActSched_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "ActSched_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EMOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843763489-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843763489-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843763489-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843763489-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2843763489-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/ActSched_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/ActSched_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EMOS Non-orderable",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/Active_Layer_Thaw_Depths_1701_1.json b/datasets/Active_Layer_Thaw_Depths_1701_1.json
index be066384c8..38f0ccf633 100644
--- a/datasets/Active_Layer_Thaw_Depths_1701_1.json
+++ b/datasets/Active_Layer_Thaw_Depths_1701_1.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNhci1iYXNlZCBtZXRoYW5lIGVidWxsaXRpb24gZmx1eCBmcm9tIGxha2VzLCBmaXZlIHJlZ2lvbnMsIGFsYXNrYSwgMjAwNy0yMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJTQVJfTWV0aGFuZV9FYnVsbGl0aW9uX0FLXzE3OTBcIixcIjFcIiwyMTQzNDAxOTAxLDZdIiwidW1tIjoiW1wiYWJvdmU6IHNhci1iYXNlZCBtZXRoYW5lIGVidWxsaXRpb24gZmx1eCBmcm9tIGxha2VzLCBmaXZlIHJlZ2lvbnMsIGFsYXNrYSwgMjAwNy0yMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJTQVJfTWV0aGFuZV9FYnVsbGl0aW9uX0FLXzE3OTBcIixcIjFcIiwyMTQzNDAxOTAxLDZdIn0%3D/Active_Layer_Thaw_Depths_1701_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/Active_Layer_Thaw_Depths_1701_1",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
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index 0fa6b5e3b7..b640e091f6 100644
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index 4bd07ea2ee..89661515d8 100644
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index 0dcef92277..38eee4ecd7 100644
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index 4cc92ec276..a32d413e82 100644
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index 118d872fc5..bc98877093 100644
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index 78872be7d0..bac40e5c32 100644
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index 58beeff97a..f59c67792d 100644
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index 5f31a7ad74..8402f58e4b 100644
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index 922a7656fa..b577e76b92 100644
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index a02395d2dd..ddeafd08ec 100644
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index ac6a9f349a..476fa2aaae 100644
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index 40f15406e1..78af0bed1c 100644
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index 99f064c56c..2fd1bff96c 100644
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index fbf30e642c..9ab95e7a49 100644
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index 6d6783f6b8..e7b8a6fbf3 100644
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index 3713f09a14..baeb92aefa 100644
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index dfc4ff23ae..912590ac30 100644
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index 8238704c12..fb80559eb9 100644
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index 6967b3a364..bb1142b7b6 100644
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index 8a862f68f4..9e4f1921ee 100644
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index b28872c4e0..3374d30bad 100644
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diff --git a/datasets/Albedo_Boreal_North_America_1605_1.1.json b/datasets/Albedo_Boreal_North_America_1605_1.1.json
index 76512c66b6..28e7f43c89 100644
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index 11fdbc0743..ff3d81a11d 100644
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index cfc0d48424..7ef53b4457 100644
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index f30079b694..9f933eae1d 100644
--- a/datasets/Arctic_Vegetation_Maps_1323_1.json
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index 18b3d64d6c..9c2f7c86f5 100644
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diff --git a/datasets/Arctic_Winter_Respiration_v2_1762_2.1.json b/datasets/Arctic_Winter_Respiration_v2_1762_2.1.json
index a48bd94367..327d5f3f6a 100644
--- a/datasets/Arctic_Winter_Respiration_v2_1762_2.1.json
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diff --git a/datasets/Arrigetch_Peaks_Veg_Plots_1358_1.json b/datasets/Arrigetch_Peaks_Veg_Plots_1358_1.json
index 2fb9483746..2626545c0d 100644
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@@ -42,7 +42,7 @@
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diff --git a/datasets/Atmospheric_CO2_California_1641_1.json b/datasets/Atmospheric_CO2_California_1641_1.json
index 0d1bcfca0f..0acc7f02e4 100644
--- a/datasets/Atmospheric_CO2_California_1641_1.json
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@@ -42,7 +42,7 @@
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index 936825ca6d..38166c00d2 100644
--- a/datasets/Atqasuk_Veg_Plots_1371_1.json
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index bd2a7fc35a..c877a18067 100644
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index b81da69d83..802edba571 100644
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index a8e660f67c..ee9e67d83f 100644
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index c7a785edd7..746e666241 100644
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index a66c6aadc5..1ce0d22813 100644
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diff --git a/datasets/BFO_hmet03_hourly_met_p1_608_1.json b/datasets/BFO_hmet03_hourly_met_p1_608_1.json
index d9a33386c7..b5927ce7ed 100644
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+++ b/datasets/BFO_hmet03_hourly_met_p1_608_1.json
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index 4a51558f5d..36f1d46fb3 100644
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@@ -42,7 +42,7 @@
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index 579c2000d5..86643ada87 100644
--- a/datasets/BFO_mod01_gridded_met_p3_daily_610_1.json
+++ b/datasets/BFO_mod01_gridded_met_p3_daily_610_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/BIOME_BGC_4_1_1_805_1.json b/datasets/BIOME_BGC_4_1_1_805_1.json
index 4681723200..34041b6f8e 100644
--- a/datasets/BIOME_BGC_4_1_1_805_1.json
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@@ -42,7 +42,7 @@
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index e56daeb0d6..455178a858 100644
--- a/datasets/BIOME_BGC_m2_4_1_2_809_1.json
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diff --git a/datasets/BIOME_BGC_m_4_1_1_806_1.json b/datasets/BIOME_BGC_m_4_1_1_806_1.json
index 1421d9030b..ecc3337953 100644
--- a/datasets/BIOME_BGC_m_4_1_1_806_1.json
+++ b/datasets/BIOME_BGC_m_4_1_1_806_1.json
@@ -42,7 +42,7 @@
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index 9dcb07607b..9860c19ba8 100644
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index d35ca9d935..2d663c8b5f 100644
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index a183e0bf38..dd455caf2a 100644
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index 5501127a9a..a8cfaeeefa 100644
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index 0612e06584..9ab3fa03b4 100644
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index 91acce32d2..6401daf054 100644
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index 9caa626a81..b3a7b8d461 100644
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index 5b96f83d9f..d728f049b6 100644
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index 221c960cb8..c5705a5be9 100644
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diff --git a/datasets/Barter_Barrow_Veg_Plots_1534_1.json b/datasets/Barter_Barrow_Veg_Plots_1534_1.json
index da92dd769c..0d706f7e12 100644
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index dfc3570c65..eeb51a87ec 100644
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index 8e2e15b76a..e75d093ce3 100644
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index 62abcb018f..ea2e591a8e 100644
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index 50f76344af..b62f3dc4e7 100644
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index 9a6386c8de..ba1f9954c6 100644
--- a/datasets/CARVE_L1_FTS_Spectra_1426_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/CARVE_L1_FlightPath_1425_1.json b/datasets/CARVE_L1_FlightPath_1425_1.json
index 48eec2ab3e..61815e5390 100644
--- a/datasets/CARVE_L1_FlightPath_1425_1.json
+++ b/datasets/CARVE_L1_FlightPath_1425_1.json
@@ -42,7 +42,7 @@
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index 76a1d92960..10658ba4fa 100644
--- a/datasets/CARVE_L1_FlightPath_Winds_1427_1.json
+++ b/datasets/CARVE_L1_FlightPath_Winds_1427_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CARVE_L1_Ground_Flux_1424_1.json b/datasets/CARVE_L1_Ground_Flux_1424_1.json
index 32270a7612..c48c14db9b 100644
--- a/datasets/CARVE_L1_Ground_Flux_1424_1.json
+++ b/datasets/CARVE_L1_Ground_Flux_1424_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CARVE_L1_Infrared_1428_1.json b/datasets/CARVE_L1_Infrared_1428_1.json
index ed9b398f4e..8e649acf54 100644
--- a/datasets/CARVE_L1_Infrared_1428_1.json
+++ b/datasets/CARVE_L1_Infrared_1428_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CARVE_L2_AtmosGas_Ground_1419_1.json b/datasets/CARVE_L2_AtmosGas_Ground_1419_1.json
index db8affaf80..415edd203d 100644
--- a/datasets/CARVE_L2_AtmosGas_Ground_1419_1.json
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diff --git a/datasets/CARVE_L2_AtmosGas_Harvard_1403_1.json b/datasets/CARVE_L2_AtmosGas_Harvard_1403_1.json
index e5a0a7c57e..a58049d9ed 100644
--- a/datasets/CARVE_L2_AtmosGas_Harvard_1403_1.json
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diff --git a/datasets/CARVE_L2_AtmosGas_Merge_1402_1.json b/datasets/CARVE_L2_AtmosGas_Merge_1402_1.json
index 18c5b09671..268de45af8 100644
--- a/datasets/CARVE_L2_AtmosGas_Merge_1402_1.json
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diff --git a/datasets/CARVE_L2_AtmosGas_NOAA_1401_1.json b/datasets/CARVE_L2_AtmosGas_NOAA_1401_1.json
index 2b62146b09..b0dd262a9f 100644
--- a/datasets/CARVE_L2_AtmosGas_NOAA_1401_1.json
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diff --git a/datasets/CARVE_L2_FTS_ColumnGas_1429_1.json b/datasets/CARVE_L2_FTS_ColumnGas_1429_1.json
index 7ade57212b..7669abcb81 100644
--- a/datasets/CARVE_L2_FTS_ColumnGas_1429_1.json
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diff --git a/datasets/CARVE_L2_Flask_1404_1.json b/datasets/CARVE_L2_Flask_1404_1.json
index d3285f7f20..b63099f8d2 100644
--- a/datasets/CARVE_L2_Flask_1404_1.json
+++ b/datasets/CARVE_L2_Flask_1404_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CARVE_L2_Flask_Ground_1405_1.json b/datasets/CARVE_L2_Flask_Ground_1405_1.json
index 9cb706bd25..6cb6233d07 100644
--- a/datasets/CARVE_L2_Flask_Ground_1405_1.json
+++ b/datasets/CARVE_L2_Flask_Ground_1405_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CARVE_L4_WRF-STILT_Footprint_1431_1.1.json b/datasets/CARVE_L4_WRF-STILT_Footprint_1431_1.1.json
index baec04b05e..51b6b51e36 100644
--- a/datasets/CARVE_L4_WRF-STILT_Footprint_1431_1.1.json
+++ b/datasets/CARVE_L4_WRF-STILT_Footprint_1431_1.1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CARVE_L4_WRF-STILT_Particle_1430_1.1.json b/datasets/CARVE_L4_WRF-STILT_Particle_1430_1.1.json
index dc061d85a0..ff84e934c6 100644
--- a/datasets/CARVE_L4_WRF-STILT_Particle_1430_1.1.json
+++ b/datasets/CARVE_L4_WRF-STILT_Particle_1430_1.1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CARVE_Land_Thaw_State_1383_1.1.json b/datasets/CARVE_Land_Thaw_State_1383_1.1.json
index 82340ee8b6..d9c2011e0c 100644
--- a/datasets/CARVE_Land_Thaw_State_1383_1.1.json
+++ b/datasets/CARVE_Land_Thaw_State_1383_1.1.json
@@ -42,7 +42,7 @@
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index 567b03c6bd..381d89a1dd 100644
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index e80ccc476a..82185a8a38 100644
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index 55ca75bd3b..11e32d4cda 100644
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index 34d50ff622..dc06884087 100644
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index 428593976c..990936f695 100644
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index f579f5d57a..1e24b92b87 100644
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index 65c27e2411..1ab86d6db7 100644
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index 4dbdbd2420..41867463e8 100644
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index f2464d6d82..b55bc4c565 100644
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index c239110804..e9d8ca8fb8 100644
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index bcaf280665..9eeb123ab8 100644
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index 4b9c25e296..295c3c9e19 100644
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diff --git a/datasets/CD10_CO2_Profiles_Tapajos_855_1.json b/datasets/CD10_CO2_Profiles_Tapajos_855_1.json
index 5153196e5e..4876a0e18d 100644
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index 76ceada241..ca7603e01c 100644
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index e12944548d..776da84c52 100644
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index c857abc290..642c75e5cf 100644
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index 5a7d98a9e5..d350fce7a7 100644
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index 65731f2c40..46b411a215 100644
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index af77fce5d8..8a3035cff2 100644
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index e3de5a9197..a9c5c56ec4 100644
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index f18d04271f..c8f4ccc65d 100644
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index 551605e045..0ad750e455 100644
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index fbeee12285..a4a7efa364 100644
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diff --git a/datasets/CD34_Amazon_Hyperion_1064_1.json b/datasets/CD34_Amazon_Hyperion_1064_1.json
index a8516fbc4b..44a491385b 100644
--- a/datasets/CD34_Amazon_Hyperion_1064_1.json
+++ b/datasets/CD34_Amazon_Hyperion_1064_1.json
@@ -42,7 +42,7 @@
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index 82e4e63aa1..8e17808df2 100644
--- a/datasets/CD34_Amazon_Landsat_1176_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/CD36_SALDAS_1162_1.json b/datasets/CD36_SALDAS_1162_1.json
index b17a67543e..5f042293ae 100644
--- a/datasets/CD36_SALDAS_1162_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/CD37_Biomass_Landsat_Glas_1145_1.json b/datasets/CD37_Biomass_Landsat_Glas_1145_1.json
index 4896802365..c554280670 100644
--- a/datasets/CD37_Biomass_Landsat_Glas_1145_1.json
+++ b/datasets/CD37_Biomass_Landsat_Glas_1145_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CDIAC_NDP41_220_2.json b/datasets/CDIAC_NDP41_220_2.json
index 81ab5fcfdd..3ba1b83208 100644
--- a/datasets/CDIAC_NDP41_220_2.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/CER_SYN1deg-1Hour-Aqua-MODIS_Edition4A.json b/datasets/CER_SYN1deg-1Hour-Aqua-MODIS_Edition4A.json
new file mode 100644
index 0000000000..7dff7c11a6
--- /dev/null
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@@ -0,0 +1,112 @@
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diff --git a/datasets/CER_SYN1deg-1Hour_Terra-Aqua-NOAA20_Edition4B.json b/datasets/CER_SYN1deg-1Hour_Terra-Aqua-NOAA20_Edition4B.json
new file mode 100644
index 0000000000..6e38332418
--- /dev/null
+++ b/datasets/CER_SYN1deg-1Hour_Terra-Aqua-NOAA20_Edition4B.json
@@ -0,0 +1,152 @@
+{
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\ No newline at end of file
diff --git a/datasets/CER_SYN1deg-Day_Aqua-MODIS_Edition4A.json b/datasets/CER_SYN1deg-Day_Aqua-MODIS_Edition4A.json
new file mode 100644
index 0000000000..96bd9cafc2
--- /dev/null
+++ b/datasets/CER_SYN1deg-Day_Aqua-MODIS_Edition4A.json
@@ -0,0 +1,112 @@
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+}
\ No newline at end of file
diff --git a/datasets/CER_SYN1deg-MHour_Aqua-MODIS_Edition4A.json b/datasets/CER_SYN1deg-MHour_Aqua-MODIS_Edition4A.json
new file mode 100644
index 0000000000..6bcb05ab78
--- /dev/null
+++ b/datasets/CER_SYN1deg-MHour_Aqua-MODIS_Edition4A.json
@@ -0,0 +1,112 @@
+{
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\ No newline at end of file
diff --git a/datasets/CER_SYN1deg-MHour_Terra-Aqua-NOAA20_Edition4B.json b/datasets/CER_SYN1deg-MHour_Terra-Aqua-NOAA20_Edition4B.json
new file mode 100644
index 0000000000..2000f71f07
--- /dev/null
+++ b/datasets/CER_SYN1deg-MHour_Terra-Aqua-NOAA20_Edition4B.json
@@ -0,0 +1,136 @@
+{
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+            "roles": [
+                "host"
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+    ],
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+            "bbox": [
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+                    -180,
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+    },
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+            "title": "Direct Download [1]",
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+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/Terra-Aqua-NOAA20/CERES/SYN1deg-MHour_L3.004B",
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+            "description": "DOI data set landing page for CER_SYN1deg-MHour_Terra-Aqua-NOAA20_Edition4B",
+            "roles": [
+                "metadata"
+            ]
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+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
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+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/CER_SYN1deg-Month_Aqua-MODIS_Edition4A.json b/datasets/CER_SYN1deg-Month_Aqua-MODIS_Edition4A.json
new file mode 100644
index 0000000000..fd2cec48ec
--- /dev/null
+++ b/datasets/CER_SYN1deg-Month_Aqua-MODIS_Edition4A.json
@@ -0,0 +1,112 @@
+{
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+    "id": "CER_SYN1deg-Month_Aqua-MODIS_Edition4A",
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+    "description": "CER_SYN1deg-Month_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes Clouds and Aerosols Monthly Aqua Edition4A data product, which was collected using Imaging Radiometers on Geostationary Satellites platform as well as CERES Flight Model 1 (FM3), CERES FM4, and MODIS on Aqua. Data collection for this product is complete.\r\n\r\nCERES Synoptic (SYN)1 degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.\r\n\r\nCERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.\r\n\r\nCERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
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+            "type": "text/html",
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+        },
+        {
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+            "title": "CMR UMM_JSON metadata for collection"
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+        {
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+            "roles": [
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+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere, and Surface Fluxes Clouds and Aerosols Monthly Aqua Edition4A",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    180,
+                    -90,
+                    -180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2002-07-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/CH4_Aircraft_STILT_footprints_1300_1.json b/datasets/CH4_Aircraft_STILT_footprints_1300_1.json
index 0a6dcaadb8..e4311c574d 100644
--- a/datasets/CH4_Aircraft_STILT_footprints_1300_1.json
+++ b/datasets/CH4_Aircraft_STILT_footprints_1300_1.json
@@ -42,7 +42,7 @@
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     ],
diff --git a/datasets/CH4_CO2_WaterBodies_YK_Delta_2178_1.json b/datasets/CH4_CO2_WaterBodies_YK_Delta_2178_1.json
index ffad8a8114..b9ae192631 100644
--- a/datasets/CH4_CO2_WaterBodies_YK_Delta_2178_1.json
+++ b/datasets/CH4_CO2_WaterBodies_YK_Delta_2178_1.json
@@ -42,7 +42,7 @@
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         {
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index e90bb4cba4..1a09130145 100644
--- a/datasets/CH4_Flux_BigTrail_Goldstream_1778_1.json
+++ b/datasets/CH4_Flux_BigTrail_Goldstream_1778_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CIESIN_SEDAC_CD_ ADM_GIS_1990_1.01.json b/datasets/CIESIN_SEDAC_CD_ ADM_GIS_1990_1.01.json
index d6e46ff230..119c78d2cc 100644
--- a/datasets/CIESIN_SEDAC_CD_ ADM_GIS_1990_1.01.json	
+++ b/datasets/CIESIN_SEDAC_CD_ ADM_GIS_1990_1.01.json	
@@ -110,8 +110,8 @@
                 "thumbnail"
             ]
         },
-        "columbia": {
-            "href": "https://sedac.ciesin.columbia.edu/data/set/cddc-china-admin-regions-gis-1990/data-download",
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C179001737-SEDAC",
             "title": "Direct Download",
             "description": "Data Download Page",
             "roles": [
diff --git a/datasets/CIESIN_SEDAC_LWP2_LW_IGHP_2.00.json b/datasets/CIESIN_SEDAC_LWP2_LW_IGHP_2.00.json
index b49aa8bbc2..dd8250761b 100644
--- a/datasets/CIESIN_SEDAC_LWP2_LW_IGHP_2.00.json
+++ b/datasets/CIESIN_SEDAC_LWP2_LW_IGHP_2.00.json
@@ -110,8 +110,8 @@
                 "thumbnail"
             ]
         },
-        "columbia": {
-            "href": "https://sedac.ciesin.columbia.edu/data/set/wildareas-v2-last-of-the-wild-ighp/data-download",
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C179001811-SEDAC",
             "title": "Direct Download",
             "description": "Data Download Page",
             "roles": [
diff --git a/datasets/CIESIN_SEDAC_SSF_EPANPLSPDCMv2_2.00.json b/datasets/CIESIN_SEDAC_SSF_EPANPLSPDCMv2_2.00.json
index da819f8af8..a3fce718ed 100644
--- a/datasets/CIESIN_SEDAC_SSF_EPANPLSPDCMv2_2.00.json
+++ b/datasets/CIESIN_SEDAC_SSF_EPANPLSPDCMv2_2.00.json
@@ -118,8 +118,8 @@
                 "thumbnail"
             ]
         },
-        "columbia": {
-            "href": "https://sedac.ciesin.columbia.edu/data/set/superfund-epa-national-priorities-list-ciesin-mod-v2/data-download",
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1000000501-SEDAC",
             "title": "Direct Download",
             "description": "Data Download Page",
             "roles": [
diff --git a/datasets/CIESIN_SEDAC_SSF_HWSPDv2_2.00.json b/datasets/CIESIN_SEDAC_SSF_HWSPDv2_2.00.json
index 624a7c3ac9..c660cac59f 100644
--- a/datasets/CIESIN_SEDAC_SSF_HWSPDv2_2.00.json
+++ b/datasets/CIESIN_SEDAC_SSF_HWSPDv2_2.00.json
@@ -118,8 +118,8 @@
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         },
-        "columbia": {
-            "href": "https://sedac.ciesin.columbia.edu/data/set/superfund-atsdr-hazardous-waste-site-v2/data-download",
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1000000540-SEDAC",
             "title": "Direct Download",
             "description": "Data Download Page",
             "roles": [
diff --git a/datasets/CIESIN_SEDAC_USCG_90SF1MSA_1.00.json b/datasets/CIESIN_SEDAC_USCG_90SF1MSA_1.00.json
index 07ca61d230..990ec02d6d 100644
--- a/datasets/CIESIN_SEDAC_USCG_90SF1MSA_1.00.json
+++ b/datasets/CIESIN_SEDAC_USCG_90SF1MSA_1.00.json
@@ -110,13 +110,21 @@
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             ]
         },
-        "columbia": {
-            "href": "https://sedac.ciesin.columbia.edu/data/set/usgrid-summary-file1-1990-msa/data-download",
-            "title": "Direct Download",
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1000000200-SEDAC",
+            "title": "Direct Download [0]",
             "description": "Data Download Page",
             "roles": [
                 "data"
             ]
+        },
+        "columbia": {
+            "href": "https://sedac.ciesin.columbia.edu/usgrid-v2-app/?geoType=city&year=1990&summaryFile=SF1",
+            "title": "Direct Download [1]",
+            "description": "Data Download Page\n",
+            "roles": [
+                "data"
+            ]
         }
     }
 }
\ No newline at end of file
diff --git a/datasets/CIESIN_SEDAC_USCG_90SF1_1.00.json b/datasets/CIESIN_SEDAC_USCG_90SF1_1.00.json
index fc9659de99..19c45ac10a 100644
--- a/datasets/CIESIN_SEDAC_USCG_90SF1_1.00.json
+++ b/datasets/CIESIN_SEDAC_USCG_90SF1_1.00.json
@@ -110,13 +110,21 @@
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-        "columbia": {
-            "href": "https://sedac.ciesin.columbia.edu/data/set/usgrid-summary-file1-1990/data-download",
-            "title": "Direct Download",
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1000000180-SEDAC",
+            "title": "Direct Download [0]",
             "description": "Data Download Page",
             "roles": [
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             ]
+        },
+        "columbia": {
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+            "title": "Direct Download [1]",
+            "description": "Data Download Page\n",
+            "roles": [
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         }
     }
 }
\ No newline at end of file
diff --git a/datasets/CIESIN_SEDAC_USCG_90SF3MSA_1.00.json b/datasets/CIESIN_SEDAC_USCG_90SF3MSA_1.00.json
index 9b8965764c..220b2acc06 100644
--- a/datasets/CIESIN_SEDAC_USCG_90SF3MSA_1.00.json
+++ b/datasets/CIESIN_SEDAC_USCG_90SF3MSA_1.00.json
@@ -110,9 +110,17 @@
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+            "title": "Direct Download [0]",
+            "description": "Data Download Page",
+            "roles": [
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         "columbia": {
-            "href": "https://sedac.ciesin.columbia.edu/data/set/usgrid-summary-file3-1990-msa/data-download",
-            "title": "Direct Download",
+            "href": "https://sedac.ciesin.columbia.edu/usgrid-v2-app/?geoType=city&year=1990&summaryFile=SF3",
+            "title": "Direct Download [1]",
             "description": "Data Download Page",
             "roles": [
                 "data"
diff --git a/datasets/CIESIN_SEDAC_USCG_90SF3_1.00.json b/datasets/CIESIN_SEDAC_USCG_90SF3_1.00.json
index f86a1cb697..3b0cf5fcf4 100644
--- a/datasets/CIESIN_SEDAC_USCG_90SF3_1.00.json
+++ b/datasets/CIESIN_SEDAC_USCG_90SF3_1.00.json
@@ -110,9 +110,17 @@
                 "thumbnail"
             ]
         },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1000000181-SEDAC",
+            "title": "Direct Download [0]",
+            "description": "Data Download Page",
+            "roles": [
+                "data"
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+        },
         "columbia": {
-            "href": "https://sedac.ciesin.columbia.edu/data/set/usgrid-summary-file3-1990/data-download",
-            "title": "Direct Download",
+            "href": "https://sedac.ciesin.columbia.edu/usgrid-v2-app/?geoType=state&year=1990&summaryFile=SF3",
+            "title": "Direct Download [1]",
             "description": "Data Download Page",
             "roles": [
                 "data"
diff --git a/datasets/CIESIN_SEDAC_USCG_SF3MSA_1.00.json b/datasets/CIESIN_SEDAC_USCG_SF3MSA_1.00.json
index 708b0a64f7..ac874877ae 100644
--- a/datasets/CIESIN_SEDAC_USCG_SF3MSA_1.00.json
+++ b/datasets/CIESIN_SEDAC_USCG_SF3MSA_1.00.json
@@ -118,9 +118,17 @@
                 "thumbnail"
             ]
         },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C179001837-SEDAC",
+            "title": "Direct Download [0]",
+            "description": "Data Download Page",
+            "roles": [
+                "data"
+            ]
+        },
         "columbia": {
-            "href": "https://sedac.ciesin.columbia.edu/data/set/usgrid-summary-file3-2000-msa/data-download",
-            "title": "Direct Download",
+            "href": "https://sedac.ciesin.columbia.edu/usgrid-v2-app/?geoType=city&year=2000&page=formats&summaryFile=SF3",
+            "title": "Direct Download [1]",
             "description": "Data Download Page",
             "roles": [
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diff --git a/datasets/CLARREO_SIMTEST_L1A_SIM_b001.json b/datasets/CLARREO_SIMTEST_L1A_SIM_b001.json
new file mode 100644
index 0000000000..e45cf06ffa
--- /dev/null
+++ b/datasets/CLARREO_SIMTEST_L1A_SIM_b001.json
@@ -0,0 +1,128 @@
+{
+    "type": "Collection",
+    "id": "CLARREO_SIMTEST_L1A_SIM_b001",
+    "stac_version": "1.0.0",
+    "description": "The Climate Absolute Radiance and Refractivity Observatory (CLARREO) Pathfinder (CPF) Level-1A and 1B data comprise high-accuracy, spectrally-resolved Earth-reflected solar radiation measurements obtained by the HyperSpectral Imager for Climate Science (HySICS) aboard the International Space Station (ISS). HySICS is a push-broom spectrometer with a spectral range of 350-2300 nm and a spectral sampling of 3 nm. It captures a nadir swath of 70 km with a spatial resolution of 0.5 km. The Level-1 data include spectrally-resolved top-of-atmosphere radiances and reflectances (in separate files), along with measurement uncertainties, solar and viewing geometry information, geolocation, and quality assurance parameters associated with each pixel-level measurement.  \r\nHySICS uses the Sun as the primary source for in-orbit calibration, achieving an impressive SI-traceable radiometric uncertainty of 0.3-0.6% (k=1). The Laboratory for Atmospheric and Space Physics (LASP) at the University of Colorado will provide the CPF Level-1 data. Due to its superior radiometric accuracy, the CPF Level-1A data will be utilized to demonstrate a state-of-the-art inter-calibration methodology using CERES and VIIRS as target inter-calibration instruments. The CPF Science and Data Management teams at NASA Langley Research Center will produce the CPF Level-4 inter-calibration data products by merging the CPF Level-1A data with CERES SSF and VIIRS Level-1B and Level-2 data over inter-calibration footprints. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951840052-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951840052-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951840052-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951840052-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951840052-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=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_SIMTEST_L1A_SIM_b001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=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_SIMTEST_L1A_SIM_b001/items",
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+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "CLARREO SIMTEST L1A, version 001",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    180,
+                    -90,
+                    -180,
+                    90
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+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=",
+            "title": "Direct Download",
+            "description": "Earthdata Search for CLARREO_SIMTEST_L1A_SIM_b001 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/CLARREO/CPF_SIMTEST_L1A.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for CLARREO_SIMTEST_L1A_SIM_b001",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://d1rfx6rfrttdsn.cloudfront.net/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://d1rfx6rfrttdsn.cloudfront.net/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/CMS_AGB_Landcover_Indonesia_1645_1.json b/datasets/CMS_AGB_Landcover_Indonesia_1645_1.json
index 711ba6685f..217312a8d6 100644
--- a/datasets/CMS_AGB_Landcover_Indonesia_1645_1.json
+++ b/datasets/CMS_AGB_Landcover_Indonesia_1645_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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index e8d044c31b..fd5310cd1f 100644
--- a/datasets/CMS_AGB_NW_USA_1719_1.json
+++ b/datasets/CMS_AGB_NW_USA_1719_1.json
@@ -42,7 +42,7 @@
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index 153841cecd..a3a56855fa 100644
--- a/datasets/CMS_CO2_Fluxes_TBMO_1315_1.json
+++ b/datasets/CMS_CO2_Fluxes_TBMO_1315_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CMS_CONUS_Biomass_1752_1.json b/datasets/CMS_CONUS_Biomass_1752_1.json
index e79de06368..c7230b1dbe 100644
--- a/datasets/CMS_CONUS_Biomass_1752_1.json
+++ b/datasets/CMS_CONUS_Biomass_1752_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/CMS_DARTE_V2_1735_2.json b/datasets/CMS_DARTE_V2_1735_2.json
index 6a659aa22b..dab482eef5 100644
--- a/datasets/CMS_DARTE_V2_1735_2.json
+++ b/datasets/CMS_DARTE_V2_1735_2.json
@@ -42,7 +42,7 @@
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index c3479d03b7..a5f56d306b 100644
--- a/datasets/CMS_Daily_ET_MexFlux_1309_1.json
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index 7f268254f3..55f77d4c8a 100644
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index 59a937d167..405788b208 100644
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index d22e092ff4..057fcbd482 100644
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index 8a54f4b42d..7e252b861c 100644
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index 0383d757fe..e923c1572a 100644
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index 0de2f5d2d6..99ef00f422 100644
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index d32ac0480c..f0d07fd4ae 100644
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diff --git a/datasets/CMS_Global_Forest_AGC_2180_1.json b/datasets/CMS_Global_Forest_AGC_2180_1.json
index 04ee6d84f7..bf7b0ce310 100644
--- a/datasets/CMS_Global_Forest_AGC_2180_1.json
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@@ -42,7 +42,7 @@
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index 8631fabe2e..68a5b5e95c 100644
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index 67aa11cbda..95d001f4d9 100644
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index 0b159dc868..053ade1f84 100644
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index c3ddb10b35..db95c00df8 100644
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index 93d253d7c9..aed179b0c3 100644
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index 8aa3a35f8a..667ce2aac5 100644
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index ce601d64d8..4dc23be6ff 100644
--- a/datasets/CMS_Landscapes_Brazil_Forests_1301_1.json
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index 31db4b66e4..bb8e2d0740 100644
--- a/datasets/CMS_Landscapes_Brazil_LiDAR_1302_1.json
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index 877c15f34c..f03ef1a082 100644
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index a816e48e48..7ed3934aff 100644
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index c944757892..2e6919433c 100644
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index 9e2a814257..674f39c9c8 100644
--- a/datasets/CMS_LiDAR_Biomass_MD_PA_DE_1538_2.json
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index f185638968..f49b0ad846 100644
--- a/datasets/CMS_LiDAR_Indonesia_1518_1.json
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index 543cbd8562..13b5a1e7f8 100644
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index 06fadc419d..ec424db640 100644
--- a/datasets/CMS_LiDAR_Products_Indonesia_1540_1.json
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index 35b2e0e6a4..89c90104fb 100644
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index 0d8cb97801..0383311587 100644
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index 78a27e99ad..3e7b2ddc44 100644
--- a/datasets/CMS_Mangrove_Canopy_Height_1327_1.json
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index 216800255c..40005c5c60 100644
--- a/datasets/CMS_Mangrove_Canopy_Ht_Zambezi_1357_1.json
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diff --git a/datasets/CMS_Mangrove_Cover_1670_1.1.json b/datasets/CMS_Mangrove_Cover_1670_1.1.json
index 2d4d72765d..9486fb641e 100644
--- a/datasets/CMS_Mangrove_Cover_1670_1.1.json
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diff --git a/datasets/CMS_Maryland_AGB_Canopy_1320_1.json b/datasets/CMS_Maryland_AGB_Canopy_1320_1.json
index f3d8fcef38..690cfa88c2 100644
--- a/datasets/CMS_Maryland_AGB_Canopy_1320_1.json
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index d7b0b2c659..5ce2a68678 100644
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index d3a335c481..a91b699ac5 100644
--- a/datasets/CMS_SABGOM_Model_Simulations_1510_1.json
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index b7e19de504..91a155bbe4 100644
--- a/datasets/CMS_SOC_Mexico_1754_1.json
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index 672e803601..739f8f9e3b 100644
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index 6bc8a9d005..56feaf2492 100644
--- a/datasets/CMS_SST_GPP_Mexico_1310_1.json
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index efe68a1ac7..b8980315a9 100644
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diff --git a/datasets/CMS_Soil_CO2_Efflux_1298_1.json b/datasets/CMS_Soil_CO2_Efflux_1298_1.json
index 1846a0985f..63091288fb 100644
--- a/datasets/CMS_Soil_CO2_Efflux_1298_1.json
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@@ -42,7 +42,7 @@
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index 3b90c54736..755b33174c 100644
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diff --git a/datasets/CMS_WRF_Footprints_CO2_Signals_1381_1.json b/datasets/CMS_WRF_Footprints_CO2_Signals_1381_1.json
index bf2f4785d8..1a655f103d 100644
--- a/datasets/CMS_WRF_Footprints_CO2_Signals_1381_1.json
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diff --git a/datasets/CMS_WRF_Model_Products_1338_1.json b/datasets/CMS_WRF_Model_Products_1338_1.json
index e59bbc09df..e85486e4e4 100644
--- a/datasets/CMS_WRF_Model_Products_1338_1.json
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diff --git a/datasets/CO2Fluxes_Arctic_Boreal_Domain_2377_1.json b/datasets/CO2Fluxes_Arctic_Boreal_Domain_2377_1.json
new file mode 100644
index 0000000000..57186fd634
--- /dev/null
+++ b/datasets/CO2Fluxes_Arctic_Boreal_Domain_2377_1.json
@@ -0,0 +1,151 @@
+{
+    "type": "Collection",
+    "id": "CO2Fluxes_Arctic_Boreal_Domain_2377_1",
+    "stac_version": "1.0.0",
+    "description": "This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem CO2 exchange (NEE) across the circumpolar terrestrial Arctic-boreal region at a 1-km spatial resolution. Monthly CO2 flux data from 2001 to 2020 were generated using terrestrial eddy covariance and chamber CO2 flux observations, combined with geospatial meteorological, remote sensing, topographical and soil data, all within a random forest modeling framework. Aggregated average annual NEE, average annual NEE with direct fire emissions added based on the Global Fire Emissions Database (GFED) product, and temporal trends in annual NEE rasters over 2002-2020 are also included. The data are provided in NetCDF and GeoTIFF formats.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
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+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3261062541-ORNL_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3261062541-ORNL_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
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+        },
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+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3261062541-ORNL_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibHVoMi1pc2ltaXAyYiBoYXJtb25pemVkIGdsb2JhbCBsYW5kIHVzZSBmb3IgdGhlIHllYXJzIDIwMTUtMjEwMFwiLFwiT1JOTF9DTE9VRFwiLFwiTGFuZF9Vc2VfSGFybW9uaXphdGlvbl9WMl8xNzIxXCIsXCIxXCIsMjc2NDcyODk2NiwyXSIsInVtbSI6IltcImx1aDItaXNpbWlwMmIgaGFybW9uaXplZCBnbG9iYWwgbGFuZCB1c2UgZm9yIHRoZSB5ZWFycyAyMDE1LTIxMDBcIixcIk9STkxfQ0xPVURcIixcIkxhbmRfVXNlX0hhcm1vbml6YXRpb25fVjJfMTcyMVwiLFwiMVwiLDI3NjQ3Mjg5NjYsMl0ifQ%3D%3D/CO2Fluxes_Arctic_Boreal_Domain_2377_1",
+            "type": "application/json"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD",
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+            "title": "ORNL_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibHVoMi1pc2ltaXAyYiBoYXJtb25pemVkIGdsb2JhbCBsYW5kIHVzZSBmb3IgdGhlIHllYXJzIDIwMTUtMjEwMFwiLFwiT1JOTF9DTE9VRFwiLFwiTGFuZF9Vc2VfSGFybW9uaXphdGlvbl9WMl8xNzIxXCIsXCIxXCIsMjc2NDcyODk2NiwyXSIsInVtbSI6IltcImx1aDItaXNpbWlwMmIgaGFybW9uaXplZCBnbG9iYWwgbGFuZCB1c2UgZm9yIHRoZSB5ZWFycyAyMDE1LTIxMDBcIixcIk9STkxfQ0xPVURcIixcIkxhbmRfVXNlX0hhcm1vbml6YXRpb25fVjJfMTcyMVwiLFwiMVwiLDI3NjQ3Mjg5NjYsMl0ifQ%3D%3D/CO2Fluxes_Arctic_Boreal_Domain_2377_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "ORNL_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    33.68,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2001-01-01T00:00:00Z",
+                    "2020-12-31T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://daac.ornl.gov/ABOVE/guides/CO2Fluxes_Arctic_Boreal_Domain_Fig1.jpg",
+            "type": "image/jpeg",
+            "title": "Download CO2Fluxes_Arctic_Boreal_Domain_Fig1.jpg",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://daac.ornl.gov/ABOVE/guides/CO2Fluxes_Arctic_Boreal_Domain_Fig1.jpg",
+            "title": "Thumbnail",
+            "description": "Annual average terrestrial net ecosystem exchange (NEE) and direct fire emissions from 2002-2020 showing areas with net CO2 sinks (i.e. areas taking up CO2 from the atmosphere) and net CO2 sources (i.e. releasing net CO2 emissions to the atmosphere) (Virkkala et al., 2024).",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "ornl": {
+            "href": "https://daac.ornl.gov/daacdata/above/CO2Fluxes_Arctic_Boreal_Domain/data/",
+            "title": "Direct Download",
+            "description": "This link allows direct data access via Earthdata login",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.3334/ORNLDAAC/2377",
+            "title": "Provider Metadata",
+            "description": "Data set Landing Page DOI URL",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_ornl_cumulus_prod_protected_above_CO2Fluxes_Arctic_Boreal_Domain_": {
+            "href": "s3://ornl-cumulus-prod-protected/above/CO2Fluxes_Arctic_Boreal_Domain/",
+            "title": "ornl_cumulus_prod_protected_above_CO2Fluxes_Arctic_Boreal_Domain_",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.ornldaac.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.ornldaac.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/COMEX_AJAX_CO2_CH4_2347_1.json b/datasets/COMEX_AJAX_CO2_CH4_2347_1.json
index 5757a653e5..249b9ed5fe 100644
--- a/datasets/COMEX_AJAX_CO2_CH4_2347_1.json
+++ b/datasets/COMEX_AJAX_CO2_CH4_2347_1.json
@@ -42,7 +42,7 @@
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index 5e7d10ba25..ba29b7a484 100644
--- a/datasets/COMEX_AVIRIS_Classic_Flights_2343_1.json
+++ b/datasets/COMEX_AVIRIS_Classic_Flights_2343_1.json
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index 18161ea13d..648a3bd387 100644
--- a/datasets/COMEX_AVIRIS_NG_Flights_2342_1.json
+++ b/datasets/COMEX_AVIRIS_NG_Flights_2342_1.json
@@ -42,7 +42,7 @@
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index 4053701b40..9b50644b3f 100644
--- a/datasets/COMEX_LongwaveInfrared_Imagery_2331_1.json
+++ b/datasets/COMEX_LongwaveInfrared_Imagery_2331_1.json
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diff --git a/datasets/CPL_ABL_Top_Height_1825_1.json b/datasets/CPL_ABL_Top_Height_1825_1.json
index 63544d3cf2..2f2bea5b80 100644
--- a/datasets/CPL_ABL_Top_Height_1825_1.json
+++ b/datasets/CPL_ABL_Top_Height_1825_1.json
@@ -42,7 +42,7 @@
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index 043bd79a40..23c08fccfc 100644
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index 5bdba4e2b1..c7626949a8 100644
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index dc0b258b19..f5eb49ea6a 100644
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index eeeb3bdcae..a1e0d8455f 100644
--- a/datasets/CanSIS_Regional_Soils_1347_2.json
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index f9b9686824..33ec858d18 100644
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index 557a59f744..edc0c87bfb 100644
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index 44373b88ab..24266adac2 100644
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index dcebb0e8f5..11c05280f4 100644
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index d6eb7834a5..e92f69b980 100644
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index 4be1768fce..f135855608 100644
--- a/datasets/Country_SOC_Latin_America_1615_1.json
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index c856018064..7946e8c187 100644
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index 17b7aff1d3..5d20b75072 100644
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@@ -42,7 +42,7 @@
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index 89e2e8d8a8..2b1245fd6a 100644
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index e2b7d2d8bf..812c4b80c2 100644
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index 328d0a05f0..aba6e611d8 100644
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index 341ba789df..c4888a3877 100644
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index ec7687fda1..02a010fbf9 100644
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index 5636c62304..ec49deedde 100644
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index 8bfa186166..dc179d3ce8 100644
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index 2b2861733d..431ef381e0 100644
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index abefec4919..fbefa77550 100644
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index 523b410360..85362940d5 100644
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index 8b219bc334..71693a40ed 100644
--- a/datasets/DeltaX_Delft3D_294_Terrebonne_2303_1.json
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index a9f49bdbc3..d7e325a7ec 100644
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index 44ffebb087..7d736df77e 100644
--- a/datasets/DeltaX_Delft3D_396_Terrebonne_2314_1.json
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index 095532b7cc..a3ec01480d 100644
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index 107340568e..1df308080e 100644
--- a/datasets/DeltaX_Delft3D_421_Terrebonne_2304_1.json
+++ b/datasets/DeltaX_Delft3D_421_Terrebonne_2304_1.json
@@ -42,7 +42,7 @@
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index b655a09f0f..272ef9719a 100644
--- a/datasets/DeltaX_Delft3D_Atchafalaya_MRD_2302_1.json
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@@ -42,7 +42,7 @@
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index 0b177b3959..1124410585 100644
--- a/datasets/DeltaX_Delft3D_Terrebonne_MRD_2301_1.json
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@@ -42,7 +42,7 @@
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index 9a4d854088..ac68bb9fbd 100644
--- a/datasets/DeltaX_Ecogeomorphic_Products_2108_1.json
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@@ -42,7 +42,7 @@
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index 6107b55343..65c23d5c6a 100644
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@@ -42,7 +42,7 @@
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index e0d9c6b807..4ff2053924 100644
--- a/datasets/DeltaX_Foliar_Stable_Isotopes_2194_1.json
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index 13f7b73630..8dc714fbad 100644
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index 233ba43c2d..c6a6cfeb1a 100644
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index 2e86ae0349..bb628552dd 100644
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diff --git a/datasets/DeltaX_Insitu_Reflectance_V3_2153_3.json b/datasets/DeltaX_Insitu_Reflectance_V3_2153_3.json
index c8fa479b97..97604abe81 100644
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@@ -42,7 +42,7 @@
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index ea1a5164e0..33d3ffce80 100644
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index 4813690680..fa623b55c4 100644
--- a/datasets/DeltaX_Island_Channel_Model_2106_1.json
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index 2f01be2e2c..87b8f2829f 100644
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index 4490812307..640f2e0cce 100644
--- a/datasets/DeltaX_L1_AVIRIS_Radiance_1987_1.json
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index 9bd646e0a9..811d5fc59d 100644
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index dd8ab7e520..f54f417d1c 100644
--- a/datasets/DeltaX_L1b_AirSWOT_1996_1.1.json
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@@ -42,7 +42,7 @@
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index f8a9c52d83..1f004dc433 100644
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index e5eda287c2..4bee32b2ba 100644
--- a/datasets/DeltaX_L2_AVIRIS_Reflectance_1988_1.json
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@@ -42,7 +42,7 @@
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index da21a86cdd..606c7bdacc 100644
--- a/datasets/DeltaX_L2_AirSWOT_WaterElev_V3_2350_3.json
+++ b/datasets/DeltaX_L2_AirSWOT_WaterElev_V3_2350_3.json
@@ -42,7 +42,7 @@
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index 46c8f82667..9aadfd395a 100644
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index 352a1d5601..8afc96d2e4 100644
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index 4362065336..578b8380dc 100644
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index 950cf0a9e8..b03fa92226 100644
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index a195cd50ce..462fae2505 100644
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diff --git a/datasets/DeltaX_Particle_Size_LISST_V2_2077_2.json b/datasets/DeltaX_Particle_Size_LISST_V2_2077_2.json
index aa51d6c455..f6f33900cc 100644
--- a/datasets/DeltaX_Particle_Size_LISST_V2_2077_2.json
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@@ -42,7 +42,7 @@
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index 65e9a7760a..da7626cc14 100644
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index c8f316d111..9b02fddd8e 100644
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index 22cb43e410..41e050fb0d 100644
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index 2702583e04..86fe643054 100644
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index b06997926b..e70a764e3c 100644
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index dbe2c4a723..a9b2afdd0b 100644
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index c024c8c823..d5a1534a5a 100644
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index c164eda69f..9d4e44ed0a 100644
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diff --git a/datasets/Dendrophenology_Eastern_US_1369_1.json b/datasets/Dendrophenology_Eastern_US_1369_1.json
index 446ee0619f..c771ff39a6 100644
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diff --git a/datasets/ECO4ESIALEXI_001.json b/datasets/ECO4ESIALEXI_001.json
index ea2245b747..618919c4f7 100644
--- a/datasets/ECO4ESIALEXI_001.json
+++ b/datasets/ECO4ESIALEXI_001.json
@@ -113,7 +113,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/ECO4ESIPTJPL_001.json b/datasets/ECO4ESIPTJPL_001.json
index 420c33af27..9245062eb9 100644
--- a/datasets/ECO4ESIPTJPL_001.json
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/ECO4WUE_001.json b/datasets/ECO4WUE_001.json
index 45cedc44ca..98ba60d5a7 100644
--- a/datasets/ECO4WUE_001.json
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diff --git a/datasets/ECO_L2T_LSTE_002.json b/datasets/ECO_L2T_LSTE_002.json
index f15a82f207..24d65fb091 100644
--- a/datasets/ECO_L2T_LSTE_002.json
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diff --git a/datasets/ECO_L3T_JET_002.json b/datasets/ECO_L3T_JET_002.json
index b9dadae062..9f8ff28742 100644
--- a/datasets/ECO_L3T_JET_002.json
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/ECO_L4T_ESI_002.json b/datasets/ECO_L4T_ESI_002.json
index d255ddab09..0addb3f863 100644
--- a/datasets/ECO_L4T_ESI_002.json
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diff --git a/datasets/ECO_L4T_WUE_002.json b/datasets/ECO_L4T_WUE_002.json
index 483710e33b..d2069c08f8 100644
--- a/datasets/ECO_L4T_WUE_002.json
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index 2455f747e9..c6c5b7b2a8 100644
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index 34452aad6f..4d07943d07 100644
--- a/datasets/EDM_US_Carbon_1160_1.json
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index 92d4240079..aac80f6ce9 100644
--- a/datasets/EF_Data_Mexico_1693_1.json
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index 9ca2c979d3..f51d05fcf1 100644
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diff --git a/datasets/EMITL1BRAD_001.json b/datasets/EMITL1BRAD_001.json
index 201f0f8f6c..74cf95f3ca 100644
--- a/datasets/EMITL1BRAD_001.json
+++ b/datasets/EMITL1BRAD_001.json
@@ -113,7 +113,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/EMITL2ARFL_001.json b/datasets/EMITL2ARFL_001.json
index c99b6a57d3..1151be47a7 100644
--- a/datasets/EMITL2ARFL_001.json
+++ b/datasets/EMITL2ARFL_001.json
@@ -113,7 +113,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/EMITL2BCH4ENH_001.json b/datasets/EMITL2BCH4ENH_001.json
index efbc296f18..9ea6394043 100644
--- a/datasets/EMITL2BCH4ENH_001.json
+++ b/datasets/EMITL2BCH4ENH_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/EMITL2BMIN_001.json b/datasets/EMITL2BMIN_001.json
index 3d938bb99e..03c19bd2da 100644
--- a/datasets/EMITL2BMIN_001.json
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@@ -113,7 +113,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/EMITL3ASA_001.json b/datasets/EMITL3ASA_001.json
index c42c94179b..2f8f67a5cb 100644
--- a/datasets/EMITL3ASA_001.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/EMITL4ESM_001.json b/datasets/EMITL4ESM_001.json
index 3b83ab4673..d2a2cd82ff 100644
--- a/datasets/EMITL4ESM_001.json
+++ b/datasets/EMITL4ESM_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/ENVISAT_SCIAMACHY_SIF_1871_1.json b/datasets/ENVISAT_SCIAMACHY_SIF_1871_1.json
index a9d58bcd08..c8fcb4fab4 100644
--- a/datasets/ENVISAT_SCIAMACHY_SIF_1871_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/ERS2_GOME_SIF_1758_1.json b/datasets/ERS2_GOME_SIF_1758_1.json
index 6c7e1a71ce..0779d75725 100644
--- a/datasets/ERS2_GOME_SIF_1758_1.json
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index dfd099832a..f61ba22760 100644
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index 1710f981d3..cfd6a2e16b 100644
--- a/datasets/EastAnglia30YearMean_550_1.json
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index 1ab4ac13da..5bfd9b7600 100644
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index e1d7693837..ec6a82c7e3 100644
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--- a/datasets/Ecosystem_Map_SRD_PAD_1947_1.json
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index f8e2ab7afb..6deea3ff8c 100644
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index 9ec8ea7717..4d5ff83649 100644
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index beda02c36a..42ed9a92ac 100644
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index 34a9d515d2..2b093a626d 100644
--- a/datasets/FLEXPART_Influence_Functions_2018_1.json
+++ b/datasets/FLEXPART_Influence_Functions_2018_1.json
@@ -42,7 +42,7 @@
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index f4c8ba84dc..02276dd965 100644
--- a/datasets/FLUXNET_Canada_1335_1.json
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index 2c79244dd8..34112c5ec1 100644
--- a/datasets/FieldData_Alaska_Tundra_2177_1.json
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index 718caca9a8..e039b78999 100644
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diff --git a/datasets/Fire_Emissions_Indonesia_2118_1.json b/datasets/Fire_Emissions_Indonesia_2118_1.json
index 4b02157278..0a4249231e 100644
--- a/datasets/Fire_Emissions_Indonesia_2118_1.json
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diff --git a/datasets/Fire_Emissions_NWT_1561_1.json b/datasets/Fire_Emissions_NWT_1561_1.json
index d3184035d6..6c0262df4f 100644
--- a/datasets/Fire_Emissions_NWT_1561_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/Flight_Environment_Parameters_1909_1.json b/datasets/Flight_Environment_Parameters_1909_1.json
index 753ff6ad5a..abe7b2ed78 100644
--- a/datasets/Flight_Environment_Parameters_1909_1.json
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index 0917f9a895..778212c13b 100644
--- a/datasets/FluxSat_GPP_FPAR_1835_2.json
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@@ -42,7 +42,7 @@
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index a85bdc6bde..ea4aa0ee25 100644
--- a/datasets/Flux_Tower_Zona_Veg_Plots_1546_1.json
+++ b/datasets/Flux_Tower_Zona_Veg_Plots_1546_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/Fluxnet_site_DB_1530_1.json b/datasets/Fluxnet_site_DB_1530_1.json
index dc0578f453..bb857bfece 100644
--- a/datasets/Fluxnet_site_DB_1530_1.json
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@@ -42,7 +42,7 @@
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index 00fc1f8502..0fe6ad3237 100644
--- a/datasets/Fluxnet_website_archive_copy_1549_1.json
+++ b/datasets/Fluxnet_website_archive_copy_1549_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/Forest_AGB_NW_USA_1766_1.json b/datasets/Forest_AGB_NW_USA_1766_1.json
index 654318d50a..bddccfdf98 100644
--- a/datasets/Forest_AGB_NW_USA_1766_1.json
+++ b/datasets/Forest_AGB_NW_USA_1766_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/Forest_Carbon_Priority_1803_1.json b/datasets/Forest_Carbon_Priority_1803_1.json
index a012b40b30..ae11f4a17b 100644
--- a/datasets/Forest_Carbon_Priority_1803_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/Forest_Inventory_Acre_Brazil_1654_1.json b/datasets/Forest_Inventory_Acre_Brazil_1654_1.json
index d807de5fc1..7ef3411a77 100644
--- a/datasets/Forest_Inventory_Acre_Brazil_1654_1.json
+++ b/datasets/Forest_Inventory_Acre_Brazil_1654_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/Forest_Inventory_Brazil_2007_1.json b/datasets/Forest_Inventory_Brazil_2007_1.json
index 8f016805a8..750bdd7cde 100644
--- a/datasets/Forest_Inventory_Brazil_2007_1.json
+++ b/datasets/Forest_Inventory_Brazil_2007_1.json
@@ -42,7 +42,7 @@
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index 063d070516..20741f6d0e 100644
--- a/datasets/Forest_Inventory_Data_Brazil_1563_1.json
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index ee2ce4d837..7d36cdabad 100644
--- a/datasets/Forest_Inventory_Tapajos_1552_1.json
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index e550da4070..bc99635e2d 100644
--- a/datasets/Forested_Areas_Amazonas_Brazil_1515_1.json
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index 315cf0db01..7efd21c698 100644
--- a/datasets/Forested_Areas_Para_Brazil_1514_1.json
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index f10e99c7dd..fbe9c4b6f0 100644
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index 5ce33b4aaa..bd38c9b190 100644
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index 141ec8854e..40d025fc07 100644
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index 6b67cf706a..a80b7a2c21 100644
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diff --git a/datasets/GEDI_Fusion_Structure_2236_1.json b/datasets/GEDI_Fusion_Structure_2236_1.json
index 027cccba82..da52e87e8b 100644
--- a/datasets/GEDI_Fusion_Structure_2236_1.json
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@@ -42,7 +42,7 @@
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index 42245f001f..570aa11324 100644
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index 359c4f8f50..76c71639d4 100644
--- a/datasets/GEDI_ICESAT2_Global_Veg_Height_2294_1.json
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diff --git a/datasets/GEDI_L3_LandSurface_Metrics_V2_1952_2.json b/datasets/GEDI_L3_LandSurface_Metrics_V2_1952_2.json
index c0bd326b1d..29f7284850 100644
--- a/datasets/GEDI_L3_LandSurface_Metrics_V2_1952_2.json
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index fe8248f1b1..67d377f7e0 100644
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index 8fabedebbe..20202daf38 100644
--- a/datasets/GEDI_L4A_AGB_Density_V2_1_2056_2.1.json
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index 4b55caae55..42f3dc379d 100644
--- a/datasets/GEDI_L4B_Country_Biomass_2321_1.json
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index 18f5d68d1a..eff25dd6b3 100644
--- a/datasets/GEDI_L4B_Gridded_Biomass_V2_1_2299_2.1.json
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index e15d8be185..1f9b99bfed 100644
--- a/datasets/GEDI_L4C_WSCI_2338_2.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/GFSAD1KCD_001.json b/datasets/GFSAD1KCD_001.json
index 2506ed8221..bf31443a69 100644
--- a/datasets/GFSAD1KCD_001.json
+++ b/datasets/GFSAD1KCD_001.json
@@ -42,7 +42,7 @@
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index 14a8e787df..80aaaef90b 100644
--- a/datasets/GIMMS3g_NDVI_Trends_1275_1.json
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index a1ff76868e..00afd20080 100644
--- a/datasets/GIS_EastAngliaClimateMonthly_551_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/GLCHMK_001.json b/datasets/GLCHMK_001.json
index 317e5b639d..8b4b3c6d26 100644
--- a/datasets/GLCHMK_001.json
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diff --git a/datasets/GLCHMT_001.json b/datasets/GLCHMT_001.json
index 0ed751d40a..c102c83edc 100644
--- a/datasets/GLCHMT_001.json
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diff --git a/datasets/GLDSMT_001.json b/datasets/GLDSMT_001.json
index b64d317079..fb4c23b5f1 100644
--- a/datasets/GLDSMT_001.json
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diff --git a/datasets/GLDTMK_001.json b/datasets/GLDTMK_001.json
index 7972c17eff..9b89359114 100644
--- a/datasets/GLDTMK_001.json
+++ b/datasets/GLDTMK_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GLDTMT_001.json b/datasets/GLDTMT_001.json
index aed5176ce6..04631d5710 100644
--- a/datasets/GLDTMT_001.json
+++ b/datasets/GLDTMT_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GLHYANC_001.json b/datasets/GLHYANC_001.json
index 4f4c08a02a..5a899a2535 100644
--- a/datasets/GLHYANC_001.json
+++ b/datasets/GLHYANC_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GLHYVI_001.json b/datasets/GLHYVI_001.json
index 7b0dca60d5..fd1b56f332 100644
--- a/datasets/GLHYVI_001.json
+++ b/datasets/GLHYVI_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GLLIDARPC_001.json b/datasets/GLLIDARPC_001.json
index 8f0bd53299..39d1ec56d6 100644
--- a/datasets/GLLIDARPC_001.json
+++ b/datasets/GLLIDARPC_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GLMETRICS_001.json b/datasets/GLMETRICS_001.json
index cc79229c4f..ff6258064a 100644
--- a/datasets/GLMETRICS_001.json
+++ b/datasets/GLMETRICS_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GLORTHO_001.json b/datasets/GLORTHO_001.json
index 10c118e864..19fca350a6 100644
--- a/datasets/GLORTHO_001.json
+++ b/datasets/GLORTHO_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GLRADS_001.json b/datasets/GLRADS_001.json
index 181640c771..103aeb3366 100644
--- a/datasets/GLRADS_001.json
+++ b/datasets/GLRADS_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GLREFL_001.json b/datasets/GLREFL_001.json
index 71bddc1439..90b0987f94 100644
--- a/datasets/GLREFL_001.json
+++ b/datasets/GLREFL_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GLTRAJECTORY_001.json b/datasets/GLTRAJECTORY_001.json
index 311d9d332a..0aae38ea8a 100644
--- a/datasets/GLTRAJECTORY_001.json
+++ b/datasets/GLTRAJECTORY_001.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GOMI2AE_002.json b/datasets/GOMI2AE_002.json
index 90713ce9de..4f87dd8f8a 100644
--- a/datasets/GOMI2AE_002.json
+++ b/datasets/GOMI2AE_002.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/GOMI2LS_002.json b/datasets/GOMI2LS_002.json
index e7499b75a1..639360036d 100644
--- a/datasets/GOMI2LS_002.json
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index b8438dedf5..bc845d162a 100644
--- a/datasets/GOMIB2T_003.json
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index a3c2885ccd..f28346e309 100644
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index 512a7871c5..6971c4281e 100644
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index ae977be64a..be9804f92d 100644
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index 846b7067fa..80f66ac0e2 100644
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index 1aecfff600..90574909bb 100644
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index 034fbf0e06..978adc5f4b 100644
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index 312925504a..5d3106235e 100644
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index 1de7fab29d..dcb06f6b15 100644
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diff --git a/datasets/HALO_LiDAR_AOP_ML_Heights_1833_1.json b/datasets/HALO_LiDAR_AOP_ML_Heights_1833_1.json
index b36a172855..2b30f708d3 100644
--- a/datasets/HALO_LiDAR_AOP_ML_Heights_1833_1.json
+++ b/datasets/HALO_LiDAR_AOP_ML_Heights_1833_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/HLSL30_2.0.json b/datasets/HLSL30_2.0.json
index 2cf57f9d75..ae9553e354 100644
--- a/datasets/HLSL30_2.0.json
+++ b/datasets/HLSL30_2.0.json
@@ -113,7 +113,7 @@
         "nasa": {
             "href": "https://appeears.earthdatacloud.nasa.gov/",
             "title": "Direct Download [1]",
-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
                 "data"
             ]
diff --git a/datasets/HLSS30_2.0.json b/datasets/HLSS30_2.0.json
index a939808589..eee86c7c89 100644
--- a/datasets/HLSS30_2.0.json
+++ b/datasets/HLSS30_2.0.json
@@ -113,7 +113,7 @@
         "nasa": {
             "href": "https://appeears.earthdatacloud.nasa.gov/",
             "title": "Direct Download [1]",
-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
                 "data"
             ]
diff --git a/datasets/HMA2_DCG_SMB_1.json b/datasets/HMA2_DCG_SMB_1.json
new file mode 100644
index 0000000000..5c6dca16b9
--- /dev/null
+++ b/datasets/HMA2_DCG_SMB_1.json
@@ -0,0 +1,130 @@
+{
+    "type": "Collection",
+    "id": "HMA2_DCG_SMB_1",
+    "stac_version": "1.0.0",
+    "description": "This High Mountain Asia data set contains 2 m resolution digital elevation models (DEMs), surface velocities, surface mass balance (SMB) rates, and SMB uncertainties for six debris-covered glaciers in Nepal.\n\nSMB rate is estimated by applying a Lagrangian specification to DEMs derived from very-high-resolution optical stereo imagery acquired by Maxar Technologies satellites WorldView-1, WorldView-2, WorldView-3, and GeoEye-1.\n\nThis data set was granted permission for public release on 1 March 2024 under the National Reconnaissance Office (NRO) Electro-Optical Commercial Layer (EOCL) program.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3226193732-NSIDC_ECS.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3226193732-NSIDC_ECS.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3226193732-NSIDC_ECS.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3226193732-NSIDC_ECS.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3226193732-NSIDC_ECS.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/HMA2_DCG_SMB_1",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS",
+            "type": "application/json",
+            "title": "NSIDC_ECS STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/HMA2_DCG_SMB_1/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "NSIDC_ECS",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "High Mountain Asia 2 m DEM, Surface Velocity, and Lagrangian Surface Mass Balance for Select Debris Covered Glaciers V001",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    85.51,
+                    27.85,
+                    87,
+                    28.39
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2012-12-23T00:00:00Z",
+                    "2017-12-22T23:59:59.999000Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "org/HMA/HMA2_DCG_SMB": {
+            "href": "https://n5eil01u.ecs.nsidc.org/HMA/HMA2_DCG_SMB.001/",
+            "title": "Direct Download [0]",
+            "description": "Direct download via HTTPS protocol.",
+            "roles": [
+                "data"
+            ]
+        },
+        "https://nsidc": {
+            "href": "https://nsidc.org/data/data-access-tool/HMA2_DCG_SMB/versions/1/",
+            "title": "Direct Download [1]",
+            "description": "Search and filter data files using a map-based interface",
+            "roles": [
+                "data"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search?q=HMA2_DCG_SMB+V001",
+            "title": "Direct Download [2]",
+            "description": "NASA's newest search and order tool for subsetting, reprojecting, and reformatting data.",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/DARPX4AR2OYO",
+            "title": "Provider Metadata",
+            "description": "Provides access to data, documentation, tools, citation information, support, and other resources.",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/HMA2_DSPAT_1.json b/datasets/HMA2_DSPAT_1.json
index 9cccd48c36..b32329bf0e 100644
--- a/datasets/HMA2_DSPAT_1.json
+++ b/datasets/HMA2_DSPAT_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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             "type": "application/json"
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diff --git a/datasets/HMA2_LHI_1.json b/datasets/HMA2_LHI_1.json
index 42f92508a6..2c4ff6cafe 100644
--- a/datasets/HMA2_LHI_1.json
+++ b/datasets/HMA2_LHI_1.json
@@ -42,7 +42,7 @@
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         {
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index 2b6f508db1..aa937119f9 100644
--- a/datasets/HMA2_MTLI_1.json
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index 70e19aa68f..f633ccc251 100644
--- a/datasets/HMA2_NLSMR_1.json
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index 3ac09825dc..4025150498 100644
--- a/datasets/HMA2_WBP_1.json
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diff --git a/datasets/HMA_AWS_1.json b/datasets/HMA_AWS_1.json
index 846bfd7a01..0b45ba1088 100644
--- a/datasets/HMA_AWS_1.json
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index b1844caf97..b7614384ca 100644
--- a/datasets/HMA_DEM8m_CT_1.json
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index a574e6fe48..57b8f188c8 100644
--- a/datasets/HMA_EAPrecip_FLOR_1.json
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@@ -42,7 +42,7 @@
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index e4116dba2b..7d361b83fc 100644
--- a/datasets/HMA_FreezeThawMelt_ASCAT_1.json
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index e3659a0509..6e9eabef96 100644
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index 6183047360..9e710f3610 100644
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diff --git a/datasets/HMA_GSM_1.json b/datasets/HMA_GSM_1.json
index 6fe90bd128..7c34015817 100644
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index 8303a15f08..c1b3eec8ae 100644
--- a/datasets/HMA_GlacierAvg_dH_1.json
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index 8706a585a4..2087fd386c 100644
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index bdf5129e1a..359efe19c6 100644
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index 3e0a6e03d3..0ef3707c58 100644
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index 5fc095c7f2..6ce1e6af8d 100644
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index 2be50e8fad..8e57884ac3 100644
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index cdb7597eba..8b69c6eefc 100644
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index 3f1b6a3925..c20ae3a9c3 100644
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index 7bad0d71a8..f5290da701 100644
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diff --git a/datasets/HMA_Precip_FLOR_1.json b/datasets/HMA_Precip_FLOR_1.json
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index b788a1e0ad..e4bfd5ba21 100644
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index 7138c3fc2d..2e4e081b9b 100644
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index 0aa1991006..fb4ae115fd 100644
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index d906a063d8..d0a3e6214c 100644
--- a/datasets/HMA_RCMO_M_1.json
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index e79bda365a..29342e0fea 100644
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index d145204e46..fec2c776ce 100644
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index c264cc8db3..27f1ca33c9 100644
--- a/datasets/HMA_SR_D_1.json
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diff --git a/datasets/HMA_STParams_1.json b/datasets/HMA_STParams_1.json
index 9518b30006..9fd27c3976 100644
--- a/datasets/HMA_STParams_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/HMA_Snowfield_1.json b/datasets/HMA_Snowfield_1.json
index 56a193eb2e..f232b36c17 100644
--- a/datasets/HMA_Snowfield_1.json
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index 6118e7eb73..1fca2a4c11 100644
--- a/datasets/Happy_Valley_Veg_Plots_1354_1.json
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@@ -42,7 +42,7 @@
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index 5b8d077655..18fb1f5d7a 100644
--- a/datasets/High_Res_Tidal_Marsh_Veg_1609_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/Historic_S2K_Website_1765_1.json b/datasets/Historic_S2K_Website_1765_1.json
index b878585f55..df65d9e9d1 100644
--- a/datasets/Historic_S2K_Website_1765_1.json
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@@ -42,7 +42,7 @@
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index 1dcd148855..aa1f8804e0 100644
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index df26fbc1ae..230b54115b 100644
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index 469b0679c7..d3bd1b63d9 100644
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index 2ce54ac0f7..d96e6aeda5 100644
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index 0a0e176875..202647cdc2 100644
--- a/datasets/IDCSI4_1.json
+++ b/datasets/IDCSI4_1.json
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index aca0d700dc..014009b209 100644
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index e8cef24ff6..e54a351a97 100644
--- a/datasets/IGBGM1B_1.json
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index 6844813267..d62d206912 100644
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diff --git a/datasets/IGBP-DIS_565_1.json b/datasets/IGBP-DIS_565_1.json
index db7131e09b..348466eb98 100644
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diff --git a/datasets/IGBP-SurfaceProducts_569_1.json b/datasets/IGBP-SurfaceProducts_569_1.json
index 764372dce6..8dc253d710 100644
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index 7b35bb8d67..060d28bbe8 100644
--- a/datasets/IGBTH4_1.json
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index 84e13515b2..b4edaf282a 100644
--- a/datasets/IGCMG1B_1.json
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index d2f013b46f..b6b3fbdd45 100644
--- a/datasets/IGCMG2_1.json
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index a44b8d155b..3f45c68020 100644
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index 5e80228ecb..d1736939ed 100644
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index 860235a9c3..beff2ed29e 100644
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index 83a48ca2f9..fa76280526 100644
--- a/datasets/ILAKP1B_1.json
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@@ -42,7 +42,7 @@
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index dd7304a89b..6e361635e6 100644
--- a/datasets/ILAKS1B_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/ILATM1B_1.json b/datasets/ILATM1B_1.json
index 172ea6ddc5..ab91b7fd5e 100644
--- a/datasets/ILATM1B_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/ILATM1B_2.json b/datasets/ILATM1B_2.json
index 1041a573b5..bc762d382d 100644
--- a/datasets/ILATM1B_2.json
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diff --git a/datasets/ILATM2_2.json b/datasets/ILATM2_2.json
index 224432594c..f00aaf7c9b 100644
--- a/datasets/ILATM2_2.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/ILATMGR_1.json b/datasets/ILATMGR_1.json
index 31e17b1ac6..fcd5af74f1 100644
--- a/datasets/ILATMGR_1.json
+++ b/datasets/ILATMGR_1.json
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index 13c6cf9de1..0c0695d439 100644
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index 778a45b9f2..7c5c091ced 100644
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index 617184213d..853cd7dfb6 100644
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index 2f6bf1272e..f828f94e8a 100644
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index d43421f568..931766a128 100644
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diff --git a/datasets/ILSIG1B_1.json b/datasets/ILSIG1B_1.json
index 6077101e49..69de246f02 100644
--- a/datasets/ILSIG1B_1.json
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@@ -42,7 +42,7 @@
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index 29bd2b44ea..6d030d801c 100644
--- a/datasets/ILSNP1B_1.json
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index d895cca791..8f6b13d370 100644
--- a/datasets/ILSNP4_1.json
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index 4e7ffbbe06..4e0e0e7ff6 100644
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index 3fc0485d95..92a47e497d 100644
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index e92947e6f2..66b666a090 100644
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diff --git a/datasets/ILVGH2_1.json b/datasets/ILVGH2_1.json
index 95afa141a8..71ee9a5b0d 100644
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index 4010fe7187..3643bb9ecc 100644
--- a/datasets/ILVIS0_1.json
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diff --git a/datasets/ILVIS1B_2.json b/datasets/ILVIS1B_2.json
index d1fee8bc31..f43a01e666 100644
--- a/datasets/ILVIS1B_2.json
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diff --git a/datasets/ILVIS2_1.json b/datasets/ILVIS2_1.json
index 3f6547b234..5384b55a1f 100644
--- a/datasets/ILVIS2_1.json
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index f3c71c6cd3..04345bdb4e 100644
--- a/datasets/ILVIS2_2.json
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index 223f6f9d2f..e302d9bd71 100644
--- a/datasets/IMCS31B_2.json
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diff --git a/datasets/IMFGM1B_1.json b/datasets/IMFGM1B_1.json
index ae79360ac6..1cd1d98bf4 100644
--- a/datasets/IMFGM1B_1.json
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index 6213c70776..6e01d6174c 100644
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index 37dd4df0bb..88ae9b27ef 100644
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index c71b11ab38..23d609d0ac 100644
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index 249ab2b614..a87fe27dab 100644
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index 6b70ff47a1..7ccf10e7ef 100644
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index 7e36bbcf0d..80272ee248 100644
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index 209368ce8c..a23c171b0f 100644
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index 395fae184e..acd7a6db8d 100644
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index 51f5625de0..75c4246593 100644
--- a/datasets/IR1HI2_1.json
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index 4f65a941e9..e3f863d1f1 100644
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index 43ec7681df..72745c8fd7 100644
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index c6e6dbd061..c35db72d8e 100644
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index de8712cef3..7c7fa5a241 100644
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diff --git a/datasets/IRKUB1B_2.json b/datasets/IRKUB1B_2.json
index 8fea524819..31ddb2bbda 100644
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index 3f06afa871..54c10866f4 100644
--- a/datasets/IRMCR1B_2.json
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index f0386c2278..6985a22a5b 100644
--- a/datasets/IRMCR2_1.json
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index d5a148f6be..1a7089a12d 100644
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index 9c8a02ae7a..e76de305fc 100644
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index d755419c55..40cca062ea 100644
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diff --git a/datasets/IRTIT3_2.json b/datasets/IRTIT3_2.json
index 1bc65ae2ce..615dbf04bc 100644
--- a/datasets/IRTIT3_2.json
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index 877db28aab..65711dbc88 100644
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index 5b8ec4d882..7ebd085818 100644
--- a/datasets/IRWIS2_1.json
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diff --git a/datasets/IS2ATBABD_1.json b/datasets/IS2ATBABD_1.json
index 503553e0d7..9adf53bb14 100644
--- a/datasets/IS2ATBABD_1.json
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diff --git a/datasets/IS2GZANT_1.json b/datasets/IS2GZANT_1.json
index c4d240754d..d6fcbc8e03 100644
--- a/datasets/IS2GZANT_1.json
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index 400b5933d4..ed8cb31b82 100644
--- a/datasets/IS2MPDDA_3.json
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diff --git a/datasets/IS2OLVIS1BCV_1.json b/datasets/IS2OLVIS1BCV_1.json
index 5e9518a295..ebd6042d08 100644
--- a/datasets/IS2OLVIS1BCV_1.json
+++ b/datasets/IS2OLVIS1BCV_1.json
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index 314e1b6611..c0888eb407 100644
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diff --git a/datasets/IS2SITMOGR4_3.json b/datasets/IS2SITMOGR4_3.json
index 8d1ce715d2..5bcc5b0c50 100644
--- a/datasets/IS2SITMOGR4_3.json
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diff --git a/datasets/ISSITGR4_1.json b/datasets/ISSITGR4_1.json
index e214ccab33..b48812afea 100644
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index 14e32904fc..e43b394a7b 100644
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diff --git a/datasets/Imnavait_Creek_Veg_Plots_1356_1.json b/datasets/Imnavait_Creek_Veg_Plots_1356_1.json
index 8282ed81e9..87333792de 100644
--- a/datasets/Imnavait_Creek_Veg_Plots_1356_1.json
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@@ -42,7 +42,7 @@
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index 38e0814dfe..670624bd77 100644
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index 823e47fc71..7d51ad4d1c 100644
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index 82bb650f82..981de3cc9d 100644
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index 02d1482195..572bd5a1c0 100644
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index 08f194d069..3a38b40815 100644
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index 004119cf98..22fa618ff9 100644
--- a/datasets/JERS-1_SAR_GRFM_Amazon_Mosaics_1280_2.json
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@@ -42,7 +42,7 @@
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index a9c947fabf..ed7930529c 100644
--- a/datasets/Kuparuk_Veg_Maps_1378_1.json
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diff --git a/datasets/LAI_Canada_816_1.json b/datasets/LAI_Canada_816_1.json
index b5e3deb659..b429b90b24 100644
--- a/datasets/LAI_Canada_816_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/LAI_VALERI_Canada_829_1.json b/datasets/LAI_VALERI_Canada_829_1.json
index 248885059c..cd33bcca3a 100644
--- a/datasets/LAI_VALERI_Canada_829_1.json
+++ b/datasets/LAI_VALERI_Canada_829_1.json
@@ -42,7 +42,7 @@
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index 3f5670b188..026669cf50 100644
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index 05c349bb51..f7becd6ca0 100644
--- a/datasets/LC01_Boundaries_Ecuador_1057_1.json
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index b96c6a93c5..7fb206d61e 100644
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diff --git a/datasets/LC01_Households_NEC_1052_1.json b/datasets/LC01_Households_NEC_1052_1.json
index fd154b4309..9926f99da6 100644
--- a/datasets/LC01_Households_NEC_1052_1.json
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index d37c75ed12..53cad72c5f 100644
--- a/datasets/LC01_Hydrography_Edaphology_NEC_1059_1.json
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index 3ae0107ac7..eb4b2ce8da 100644
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index 262230419a..85a7609b15 100644
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index ecd2d8f4a1..df7aeb1810 100644
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index 22c0b36fb0..2fdf8fe261 100644
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index fc003623a3..93c5d41b6c 100644
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index bba9fb12cb..08b788e2ee 100644
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index 0529ea84fb..06412c600b 100644
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index f0e93d25a4..ec0bf0e30f 100644
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index b3ee28c416..9f3bcfcb6d 100644
--- a/datasets/LC10_Landsat_TM_852_1.json
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index f779e92307..ee9eb5bbdc 100644
--- a/datasets/LC13_GIS_Cauaxi_890_1.json
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index d7d8b78cca..8d3c89029d 100644
--- a/datasets/LC13_GIS_Juruena_888_1.json
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index f6bfc7d26f..bde64736d3 100644
--- a/datasets/LC13_GIS_Tapajos_893_1.json
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index 975f159711..1b7dcd29f8 100644
--- a/datasets/LC14_Aboveground_Prod_1196_1.json
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index 24ce5ee74c..514a9d3a2b 100644
--- a/datasets/LC14_Amazon_Scenarios_1153_1.json
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diff --git a/datasets/LC14_REE_SLA_1211_1.json b/datasets/LC14_REE_SLA_1211_1.json
index 338ef8de72..c28e49effb 100644
--- a/datasets/LC14_REE_SLA_1211_1.json
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diff --git a/datasets/LC14_RISQUE_1147_1.json b/datasets/LC14_RISQUE_1147_1.json
index 48b83dd685..9b6c507797 100644
--- a/datasets/LC14_RISQUE_1147_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/LC14_Surface_Roots_Phenology_1268_1.json b/datasets/LC14_Surface_Roots_Phenology_1268_1.json
index bb85bf6283..ea0782ef04 100644
--- a/datasets/LC14_Surface_Roots_Phenology_1268_1.json
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@@ -42,7 +42,7 @@
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index 34e691dd8c..6ba38277c7 100644
--- a/datasets/LC15_AGLB_Distribution_Map_908_1.json
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index da047b5f84..f6bb12dab2 100644
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index 7a68bcc062..5425acd4a9 100644
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index 74e50c54d5..a03d35e1db 100644
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diff --git a/datasets/LC15_SPOT_Metrics_1239_1.json b/datasets/LC15_SPOT_Metrics_1239_1.json
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index 300ecc13a6..b6424e159a 100644
--- a/datasets/LC15_SRTM_Topography_1181_1.1.json
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diff --git a/datasets/LC18_Hyperion_889_1.json b/datasets/LC18_Hyperion_889_1.json
index be07a4b1ee..c3fa2aef30 100644
--- a/datasets/LC18_Hyperion_889_1.json
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diff --git a/datasets/LC19_Field_2002_1261_1.json b/datasets/LC19_Field_2002_1261_1.json
index ef658f1c02..8768f95ea0 100644
--- a/datasets/LC19_Field_2002_1261_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/LC21_Foliar_Nutrients_1234_1.json b/datasets/LC21_Foliar_Nutrients_1234_1.json
index d0318f8062..1d97ea031c 100644
--- a/datasets/LC21_Foliar_Nutrients_1234_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/LC21_Fractional_Cover_1152_1.json b/datasets/LC21_Fractional_Cover_1152_1.json
index 0088dcae78..c08c8a1191 100644
--- a/datasets/LC21_Fractional_Cover_1152_1.json
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@@ -42,7 +42,7 @@
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index 21b26a39e0..5a27cc8f4c 100644
--- a/datasets/LC21_Selective_Logging_1172_1.json
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index 6c84ebb209..975e4e9ba2 100644
--- a/datasets/LC21_Soil_Characteristics_1236_1.json
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index 2575a69c33..09efb1e85d 100644
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index b24c7881ee..ac23d4ed08 100644
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diff --git a/datasets/LC22_MODIS_Phenology_Mato_Grosso_1185_1.json b/datasets/LC22_MODIS_Phenology_Mato_Grosso_1185_1.json
index 73d2b9e053..65853e0bbe 100644
--- a/datasets/LC22_MODIS_Phenology_Mato_Grosso_1185_1.json
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@@ -42,7 +42,7 @@
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index 676a4977e7..739626f640 100644
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index 98856772da..0896cbe40c 100644
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index 0ff5418312..30db67f10b 100644
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index 0354d0b992..1e4bd714bd 100644
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index 67347ce3dd..b10ddc7760 100644
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index 23cb66d3ae..bb1e62e19a 100644
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index 2c9f2ad83f..141b00157e 100644
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diff --git a/datasets/LC24_Historical_Roads_Amazon_1043_1.json b/datasets/LC24_Historical_Roads_Amazon_1043_1.json
index 325c9bd894..3eeb6418f8 100644
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index b72a9558db..492fe86ea9 100644
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index bea035df5b..f6940a9286 100644
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index f1b5c4842c..ec14549b74 100644
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index e7a86d53a0..93edb4c36d 100644
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index 82086ee01f..2330be55f6 100644
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index e49bb60e58..2cb4dee6c0 100644
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index 3f3f9c897a..94f4c148f6 100644
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diff --git a/datasets/LC39_MODIS_Fire_SA_1186_1.json b/datasets/LC39_MODIS_Fire_SA_1186_1.json
index 238e8e86bd..8b5e85678f 100644
--- a/datasets/LC39_MODIS_Fire_SA_1186_1.json
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index 8638f8180f..575c38e8b6 100644
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index db386a2b3e..235176e205 100644
--- a/datasets/LULC_Nigeria_Ethiopia_SAfrica_2367_1.json
+++ b/datasets/LULC_Nigeria_Ethiopia_SAfrica_2367_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/LVISC1B_1.json b/datasets/LVISC1B_1.json
index f232a3fc1e..8656efb40f 100644
--- a/datasets/LVISC1B_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/LVISC2_1.json b/datasets/LVISC2_1.json
index 3eebdbc0e5..3f2d9922ae 100644
--- a/datasets/LVISC2_1.json
+++ b/datasets/LVISC2_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/LVISF1B_1.json b/datasets/LVISF1B_1.json
index 31c4675bf5..73b7987983 100644
--- a/datasets/LVISF1B_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/LVISF2_1.json b/datasets/LVISF2_1.json
index e84f9cffeb..701faf492b 100644
--- a/datasets/LVISF2_1.json
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diff --git a/datasets/LaSelva_Biomass_1215_1.json b/datasets/LaSelva_Biomass_1215_1.json
index d8e870030e..b36194326f 100644
--- a/datasets/LaSelva_Biomass_1215_1.json
+++ b/datasets/LaSelva_Biomass_1215_1.json
@@ -42,7 +42,7 @@
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index 4a302053d5..4450e4c4f5 100644
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index 971c36a323..f97e3eeca3 100644
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index 5b05885118..feb0b28505 100644
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diff --git a/datasets/Land_Cover_surfaces_748_1.json b/datasets/Land_Cover_surfaces_748_1.json
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index 70a7d2805b..f24794a391 100644
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@@ -53,7 +53,7 @@
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diff --git a/datasets/Land_Use_Harmonization_V2_1721_1.json b/datasets/Land_Use_Harmonization_V2_1721_1.json
index 6d18f44933..100b3567d6 100644
--- a/datasets/Land_Use_Harmonization_V2_1721_1.json
+++ b/datasets/Land_Use_Harmonization_V2_1721_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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diff --git a/datasets/Landcover_Colombian_Amazon_1783_1.json b/datasets/Landcover_Colombian_Amazon_1783_1.json
index e24dc46136..251710c511 100644
--- a/datasets/Landcover_Colombian_Amazon_1783_1.json
+++ b/datasets/Landcover_Colombian_Amazon_1783_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/Last_Day_Spring_Snow_1528_1.json b/datasets/Last_Day_Spring_Snow_1528_1.json
index 0ed78824da..c16d52008f 100644
--- a/datasets/Last_Day_Spring_Snow_1528_1.json
+++ b/datasets/Last_Day_Spring_Snow_1528_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/LeapSecT_001.json b/datasets/LeapSecT_001.json
new file mode 100644
index 0000000000..2a2c0d1aa1
--- /dev/null
+++ b/datasets/LeapSecT_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "LeapSecT_001",
+    "stac_version": "1.0.0",
+    "description": "ECS internal format for Toolkit for time difference TAI - UT; From 1961 to 1971, approximate equivalent to TAI-UT; from 1/1/1972 onwards, actual leap seconds, meaning TAI - UTC",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425138-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425138-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425138-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425138-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425138-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/LeapSecT_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/LeapSecT_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "Leap Seconds - ECS internal format for Toolkit V 001 Non-orderable",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1961-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/LiDAR_Forest_Inventory_Brazil_1644_1.json b/datasets/LiDAR_Forest_Inventory_Brazil_1644_1.json
index 20b8edb1fe..371f8b10a6 100644
--- a/datasets/LiDAR_Forest_Inventory_Brazil_1644_1.json
+++ b/datasets/LiDAR_Forest_Inventory_Brazil_1644_1.json
@@ -42,7 +42,7 @@
         },
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index c71052047c..1a698270fb 100644
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index 8f07a9dacc..35982abe95 100644
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index b203c5a60b..ffb8b33718 100644
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index 85f66d59b7..ff74a73f35 100644
--- a/datasets/MASTER_DFRC_Fall_2005_2030_1.json
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index 9fc428aaf3..a710c9e12e 100644
--- a/datasets/MASTER_DFRC_May-June_2008_2011_1.json
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index e6fdb4e0d1..b70b4ed86f 100644
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diff --git a/datasets/MASTER_Houston_2011_1972_1.json b/datasets/MASTER_Houston_2011_1972_1.json
index ba5fe14899..0102f03c97 100644
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diff --git a/datasets/MASTER_RSL_August_2004_2036_1.json b/datasets/MASTER_RSL_August_2004_2036_1.json
index 742c14e94c..1344a3e74c 100644
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diff --git a/datasets/MASTER_RSL_August_2007_2020_1.json b/datasets/MASTER_RSL_August_2007_2020_1.json
index c7e79162da..05b2a497b4 100644
--- a/datasets/MASTER_RSL_August_2007_2020_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/MASTER_RSL_June_2001_2090_1.json b/datasets/MASTER_RSL_June_2001_2090_1.json
index 1c1aec75f4..357a3d041f 100644
--- a/datasets/MASTER_RSL_June_2001_2090_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/MASTER_RSL_March_2000_2094_1.json b/datasets/MASTER_RSL_March_2000_2094_1.json
index c21cbfff3e..a953687073 100644
--- a/datasets/MASTER_RSL_March_2000_2094_1.json
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diff --git a/datasets/MASTER_RSL_March_2002_2068_1.json b/datasets/MASTER_RSL_March_2002_2068_1.json
index f93eb679e5..51b70411e4 100644
--- a/datasets/MASTER_RSL_March_2002_2068_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/MASTER_RSL_May_1999_2101_1.json b/datasets/MASTER_RSL_May_1999_2101_1.json
index f7b63b885b..ddf82c9fe3 100644
--- a/datasets/MASTER_RSL_May_1999_2101_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/MASTER_RSL_May_2002_V2_2148_2.json b/datasets/MASTER_RSL_May_2002_V2_2148_2.json
index 9b40ba16b3..cc70c8af09 100644
--- a/datasets/MASTER_RSL_May_2002_V2_2148_2.json
+++ b/datasets/MASTER_RSL_May_2002_V2_2148_2.json
@@ -42,7 +42,7 @@
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+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibHVoMi1pc2ltaXAyYiBoYXJtb25pemVkIGdsb2JhbCBsYW5kIHVzZSBmb3IgdGhlIHllYXJzIDIwMTUtMjEwMFwiLFwiT1JOTF9DTE9VRFwiLFwiTGFuZF9Vc2VfSGFybW9uaXphdGlvbl9WMl8xNzIxXCIsXCIxXCIsMjc2NDcyODk2NiwyXSIsInVtbSI6IltcImx1aDItaXNpbWlwMmIgaGFybW9uaXplZCBnbG9iYWwgbGFuZCB1c2UgZm9yIHRoZSB5ZWFycyAyMDE1LTIxMDBcIixcIk9STkxfQ0xPVURcIixcIkxhbmRfVXNlX0hhcm1vbml6YXRpb25fVjJfMTcyMVwiLFwiMVwiLDI3NjQ3Mjg5NjYsMl0ifQ%3D%3D/MASTER_RSL_May_2002_V2_2148_2",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibHVoMi1nY2IyMDE5OiBsYW5kLXVzZSBoYXJtb25pemF0aW9uIDIgdXBkYXRlIGZvciB0aGUgZ2xvYmFsIGNhcmJvbiBidWRnZXQsIDg1MC0yMDE5XCIsXCJPUk5MX0NMT1VEXCIsXCJMVUgyX0dDQjIwMTlfMTg1MVwiLFwiMVwiLDI3NTY4NDc3NDMsMl0iLCJ1bW0iOiJbXCJsdWgyLWdjYjIwMTk6IGxhbmQtdXNlIGhhcm1vbml6YXRpb24gMiB1cGRhdGUgZm9yIHRoZSBnbG9iYWwgY2FyYm9uIGJ1ZGdldCwgODUwLTIwMTlcIixcIk9STkxfQ0xPVURcIixcIkxVSDJfR0NCMjAxOV8xODUxXCIsXCIxXCIsMjc1Njg0Nzc0MywyXSJ9/MASTER_RSL_May_2002_V2_2148_2/items",
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diff --git a/datasets/MASTER_RSL_October_2010_2127_1.json b/datasets/MASTER_RSL_October_2010_2127_1.json
index d687a8c469..f851bc42c0 100644
--- a/datasets/MASTER_RSL_October_2010_2127_1.json
+++ b/datasets/MASTER_RSL_October_2010_2127_1.json
@@ -42,7 +42,7 @@
         },
         {
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         },
         {
@@ -53,7 +53,7 @@
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diff --git a/datasets/MB2LMT_002.json b/datasets/MB2LMT_002.json
new file mode 100644
index 0000000000..8da1499b5d
--- /dev/null
+++ b/datasets/MB2LMT_002.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "MB2LMT_002",
+    "stac_version": "1.0.0",
+    "description": "MB2LMT_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Local Mode Terrain Radiance Data Version 2 product. It contains the terrain-projected Top-of-Atmosphere (TOA) radiance for the single local mode scene, resampled at the surface and topographically corrected. \r\rMISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335039-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335039-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335039-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335039-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335039-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MB2LMT_002",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MB2LMT_002/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 1B2 Local Mode Terrain Radiance Data V002",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-02-27T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C43677676-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for MB2LMT_2 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/MISR/MB2LMT": {
+            "href": "https://asdc.larc.nasa.gov/data/MISR/MB2LMT.002/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for MB2LMT_2",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/Terra/MISR/MB2LMT_L1.002",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for MB2LMT_2",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MB2LMT_2.json b/datasets/MB2LMT_2.json
index 811727e58f..0fec41fc53 100644
--- a/datasets/MB2LMT_2.json
+++ b/datasets/MB2LMT_2.json
@@ -86,7 +86,7 @@
         "temporal": {
             "interval": [
                 [
-                    "2000-02-27T00:00:00Z",
+                    "1999-12-18T00:00:00Z",
                     null
                 ]
             ]
diff --git a/datasets/MCD12Q1_061.json b/datasets/MCD12Q1_061.json
index ac66f7568a..d34fab6d52 100644
--- a/datasets/MCD12Q1_061.json
+++ b/datasets/MCD12Q1_061.json
@@ -121,7 +121,7 @@
         "nasa": {
             "href": "https://appeears.earthdatacloud.nasa.gov/",
             "title": "Direct Download [2]",
-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
                 "data"
             ]
diff --git a/datasets/MCD12Q2_061.json b/datasets/MCD12Q2_061.json
index 66380bc8b3..ad3a75db05 100644
--- a/datasets/MCD12Q2_061.json
+++ b/datasets/MCD12Q2_061.json
@@ -121,7 +121,7 @@
         "nasa": {
             "href": "https://appeears.earthdatacloud.nasa.gov/",
             "title": "Direct Download [2]",
-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
                 "data"
             ]
diff --git a/datasets/MCD15A2H_061.json b/datasets/MCD15A2H_061.json
index 0516805bb8..d5117f14c9 100644
--- a/datasets/MCD15A2H_061.json
+++ b/datasets/MCD15A2H_061.json
@@ -121,7 +121,7 @@
         "nasa": {
             "href": "https://appeears.earthdatacloud.nasa.gov/",
             "title": "Direct Download [2]",
-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
                 "data"
             ]
diff --git a/datasets/MCD15A3H_061.json b/datasets/MCD15A3H_061.json
index 9712ca5449..44c5ca3cf3 100644
--- a/datasets/MCD15A3H_061.json
+++ b/datasets/MCD15A3H_061.json
@@ -121,7 +121,7 @@
         "nasa": {
             "href": "https://appeears.earthdatacloud.nasa.gov/",
             "title": "Direct Download [2]",
-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
                 "data"
             ]
diff --git a/datasets/MCD19A2CMG_061.json b/datasets/MCD19A2CMG_061.json
index f01cf9c135..edac3f3899 100644
--- a/datasets/MCD19A2CMG_061.json
+++ b/datasets/MCD19A2CMG_061.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMvdGVycmEgdmVnZXRhdGlvbiBpbmRpY2VzIG1vbnRobHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0QxM0EzXCIsXCI2MVwiLDIzMjc5NjIzMjYsMjNdIiwidW1tIjoiW1wibW9kaXMvdGVycmEgdmVnZXRhdGlvbiBpbmRpY2VzIG1vbnRobHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0QxM0EzXCIsXCI2MVwiLDIzMjc5NjIzMjYsMjNdIn0%3D/MCD19A2CMG_061",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMvdGVycmEgdmVnZXRhdGlvbiBpbmRpY2VzIG1vbnRobHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0QxM0EzXCIsXCI2MVwiLDIzMjc5NjIzMjYsMjRdIiwidW1tIjoiW1wibW9kaXMvdGVycmEgdmVnZXRhdGlvbiBpbmRpY2VzIG1vbnRobHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0QxM0EzXCIsXCI2MVwiLDIzMjc5NjIzMjYsMjRdIn0%3D/MCD19A2CMG_061",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMvdGVycmEgdmVnZXRhdGlvbiBpbmRpY2VzIG1vbnRobHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0QxM0EzXCIsXCI2MVwiLDIzMjc5NjIzMjYsMjNdIiwidW1tIjoiW1wibW9kaXMvdGVycmEgdmVnZXRhdGlvbiBpbmRpY2VzIG1vbnRobHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0QxM0EzXCIsXCI2MVwiLDIzMjc5NjIzMjYsMjNdIn0%3D/MCD19A2CMG_061/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMvdGVycmEgdmVnZXRhdGlvbiBpbmRpY2VzIG1vbnRobHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0QxM0EzXCIsXCI2MVwiLDIzMjc5NjIzMjYsMjRdIiwidW1tIjoiW1wibW9kaXMvdGVycmEgdmVnZXRhdGlvbiBpbmRpY2VzIG1vbnRobHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0QxM0EzXCIsXCI2MVwiLDIzMjc5NjIzMjYsMjRdIn0%3D/MCD19A2CMG_061/items",
             "type": "application/json"
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     ],
diff --git a/datasets/MCD19A3D_061.json b/datasets/MCD19A3D_061.json
index e6813b01b9..9804a8f781 100644
--- a/datasets/MCD19A3D_061.json
+++ b/datasets/MCD19A3D_061.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/MCD64A1_061.json b/datasets/MCD64A1_061.json
index 2a2b7408fc..88e968ca24 100644
--- a/datasets/MCD64A1_061.json
+++ b/datasets/MCD64A1_061.json
@@ -121,7 +121,7 @@
         "nasa": {
             "href": "https://appeears.earthdatacloud.nasa.gov/",
             "title": "Direct Download [2]",
-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
                 "data"
             ]
diff --git a/datasets/MFLL_CO2_Weighting_Functions_1891_1.json b/datasets/MFLL_CO2_Weighting_Functions_1891_1.json
index c5f0aed087..68c2b33cd6 100644
--- a/datasets/MFLL_CO2_Weighting_Functions_1891_1.json
+++ b/datasets/MFLL_CO2_Weighting_Functions_1891_1.json
@@ -42,7 +42,7 @@
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index 47692f075a..8560803c34 100644
--- a/datasets/MFLL_XCO2_Range_10Hz_1892_1.json
+++ b/datasets/MFLL_XCO2_Range_10Hz_1892_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/MI1AC_002.json b/datasets/MI1AC_002.json
new file mode 100644
index 0000000000..73c135c9d9
--- /dev/null
+++ b/datasets/MI1AC_002.json
@@ -0,0 +1,144 @@
+{
+    "type": "Collection",
+    "id": "MI1AC_002",
+    "stac_version": "1.0.0",
+    "description": "MI1AC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Calibration data in DN. The data numbers have been commuted from 12-bit numbers to 16-bit, byte aligned half-words version 2. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604599-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604599-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604599-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604599-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604599-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
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+        },
+        {
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+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
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+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 1A Calibration Data V002",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-03-13T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
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+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
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+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for MI1AC_2 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/MISR/MI1AC": {
+            "href": "https://asdc.larc.nasa.gov/data/MISR/MI1AC.002/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for MI1AC_2",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI1AENG1_002.json b/datasets/MI1AENG1_002.json
new file mode 100644
index 0000000000..fbcedb9f5a
--- /dev/null
+++ b/datasets/MI1AENG1_002.json
@@ -0,0 +1,128 @@
+{
+    "type": "Collection",
+    "id": "MI1AENG1_002",
+    "stac_version": "1.0.0",
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+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604635-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604635-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604635-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604635-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604635-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MI1AENG1_002",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MI1AENG1_002/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 1A Engineering Data file Type 1 V002",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-02-25T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI1AMOT_003.json b/datasets/MI1AMOT_003.json
new file mode 100644
index 0000000000..a78dce56dc
--- /dev/null
+++ b/datasets/MI1AMOT_003.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "MI1AMOT_003",
+    "stac_version": "1.0.0",
+    "description": "MISR Level 1A Motor Data are acquired as part of an on-orbit calibration experiment. These data consist of measurements of the MISR instrument calibration panel motor currents. These data also include packet data for motor ID, motor current sampling frequency, and motor temperature.The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward and four cameras pointing aftward. It takes 7 minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604701-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604701-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604701-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604701-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604701-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI1AMOT_003",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI1AMOT_003/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Motor Data V003",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2003-12-16T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "gov/MISR/MI1AMOT": {
+            "href": "ftp://l5eil01.larc.nasa.gov/MISR/MI1AMOT.003/",
+            "title": "Direct Download [0]",
+            "description": "Access Data",
+            "roles": [
+                "data"
+            ]
+        },
+        "nasa": {
+            "href": "http://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite&spatial_type=rectangle&keywords=MI1AMOT",
+            "title": "Direct Download [1]",
+            "description": "Access Data",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/MISR/cgi-bin/MISR/main": {
+            "href": "http://l0dup05.larc.nasa.gov/MISR/cgi-bin/MISR/main.cgi",
+            "title": "Direct Download [2]",
+            "description": "MISR Order and Customization Tool",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI1ANAV_002.json b/datasets/MI1ANAV_002.json
new file mode 100644
index 0000000000..816c8138cb
--- /dev/null
+++ b/datasets/MI1ANAV_002.json
@@ -0,0 +1,128 @@
+{
+    "type": "Collection",
+    "id": "MI1ANAV_002",
+    "stac_version": "1.0.0",
+    "description": "MI1ANAV_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Navigation Data version 2. This is the Reformatted Annotated Level 1A Product for the Navigation Data, which contains samples of the EOS-AM1 Platform position and attitude data. It includes all spacecraft position, velocity, attitude and attitude rate data incorporated into MISR Level 1A Engineering Data packets. These data are read from the Command and Telemetry Bus during the period of one EOS-TERRA orbit for which it contains samples of the platform position and attitude data. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604767-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604767-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604767-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604767-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604767-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MI1ANAV_002",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MI1ANAV_002/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 1A Navigation Data V002",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-02-25T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI1AOBC_002.json b/datasets/MI1AOBC_002.json
new file mode 100644
index 0000000000..785df8e001
--- /dev/null
+++ b/datasets/MI1AOBC_002.json
@@ -0,0 +1,144 @@
+{
+    "type": "Collection",
+    "id": "MI1AOBC_002",
+    "stac_version": "1.0.0",
+    "description": "MI1AOBC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) OBC Data version 2. This file contains the output for the Level 1A On-board Calibrator Data and it provides the radiometry from PIN and HQE diodes and goniometer mechanism readings collected during calibration mode operations near the north and south poles and over the dark side of the Earth (or during science mode operations over the sunlit side of the Earth). The diode radiometry acquired during north and south pole calibration sequences will be used to determine brightness and reflective characteristics of a MISR diffuser panel as observed by each of the nine MISR cameras. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917605198-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917605198-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917605198-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917605198-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2917605198-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/MI1AOBC_002",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/MI1AOBC_002/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR OBC Data V002",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2003-07-30T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C179031458-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for MI1AOBC_2 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/MISR/MI1AOBC": {
+            "href": "https://asdc.larc.nasa.gov/data/MISR/MI1AOBC.002/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for MI1AOBC_2",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI1B1_002.json b/datasets/MI1B1_002.json
index 3b4c165717..c67f33ad41 100644
--- a/datasets/MI1B1_002.json
+++ b/datasets/MI1B1_002.json
@@ -2,7 +2,7 @@
     "type": "Collection",
     "id": "MI1B1_002",
     "stac_version": "1.0.0",
-    "description": "This is the Level 1B1 Product containing the DNs radiometrically-scaled to radiances with no geometric resampling",
+    "description": "MI1B1_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B1 Radiance Data version 2. It contains the data numbers (DNs) radiometrically scaled to radiances with no geometric resampling and spectral radiances for all MISR channels. Each value represents the incident radiance averaged over the sensor's total band response. Processing includes both radiance scaling and conditioning steps. Radiance scaling converts the Level 1A data from digital counts to radiances, using coefficients derived with the On-Board Calibrator (OBC) and vicarious calibrations. The OBC contains Spectralon calibration panels, deployed monthly and reflect sunlight into cameras. The OBC detector standards then measure this reflected light to provide the calibration. No out-of-band correction is done for this product, nor are the data geometrically corrected or resampled.\nThe MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. Data collection for this product is ongoing.\nMISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
     "links": [
         {
             "rel": "license",
diff --git a/datasets/MI1B2E_004.json b/datasets/MI1B2E_004.json
index 1a71e076a7..47828fc964 100644
--- a/datasets/MI1B2E_004.json
+++ b/datasets/MI1B2E_004.json
@@ -86,7 +86,7 @@
         "temporal": {
             "interval": [
                 [
-                    "2022-10-13T00:00:00Z",
+                    "1999-12-18T00:00:00Z",
                     null
                 ]
             ]
diff --git a/datasets/MI1B2T_004.json b/datasets/MI1B2T_004.json
index 50668972b7..1b507b9b12 100644
--- a/datasets/MI1B2T_004.json
+++ b/datasets/MI1B2T_004.json
@@ -86,7 +86,7 @@
         "temporal": {
             "interval": [
                 [
-                    "2022-10-13T00:00:00Z",
+                    "1999-12-18T00:00:00Z",
                     null
                 ]
             ]
diff --git a/datasets/MI3DCLDN_001.json b/datasets/MI3DCLDN_001.json
new file mode 100644
index 0000000000..8c29f0555f
--- /dev/null
+++ b/datasets/MI3DCLDN_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MI3DCLDN_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927799590-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927799590-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927799590-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927799590-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927799590-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3DCLDN_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3DCLDN_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MI3DCLDN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI3DCLDN_002.json b/datasets/MI3DCLDN_002.json
new file mode 100644
index 0000000000..88f0623cc7
--- /dev/null
+++ b/datasets/MI3DCLDN_002.json
@@ -0,0 +1,152 @@
+{
+    "type": "Collection",
+    "id": "MI3DCLDN_002",
+    "stac_version": "1.0.0",
+    "description": "MI3DCLDN_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Cloud public Product in netCDF format covering a day version 2. It contains the public MISR Level 3 Global Cloud Product in netCDF format covering a day and is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a year and reported on a geographic grid, it has multiple data layers, with varying temporal resolutions of 0.5 degree by 0.5 degree as well as 2.5 degree by 2.5 degree. Data collection for this product is ongoing. \r\rThe MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.\r\rMISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768588-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768588-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768588-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768588-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768588-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3DCLDN_002",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3DCLDN_002/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 3 Global Cloud public Product in netCDF format covering a day V002",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-02-25T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C108919905-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for MI3DCLDN_2 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/MISR/MI3DCLDN": {
+            "href": "https://asdc.larc.nasa.gov/data/MISR/MI3DCLDN.002/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for MI3DCLDN_2",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/Terra/MISR/MI3DCLDN_L3.002",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for MI3DCLDN_2",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI3MCLDN_001.json b/datasets/MI3MCLDN_001.json
new file mode 100644
index 0000000000..ae45aa1423
--- /dev/null
+++ b/datasets/MI3MCLDN_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MI3MCLDN_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801702-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801702-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801702-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801702-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801702-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MCLDN_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MCLDN_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MI3MCLDN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI3MLSNF_002.json b/datasets/MI3MLSNF_002.json
new file mode 100644
index 0000000000..464a46e08e
--- /dev/null
+++ b/datasets/MI3MLSNF_002.json
@@ -0,0 +1,144 @@
+{
+    "type": "Collection",
+    "id": "MI3MLSNF_002",
+    "stac_version": "1.0.0",
+    "description": "MI3MLSNF_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Land product in netCDF format covering a month version 2 data product. It contains a monthly statistical summary of directional hemispherical reflectance (DHR), photosynthetically active spectral region (DHR-PAR), DHR for near-infrared band (DHR-NIR), fractional absorbed photosynthetically active radiation (FPAR), DHR-based normalized difference vegetation index (NDVI) and land surface bidirectional reflectance factor (BRF) model parameters. It is classified into six vegetated and one non-vegetated types. This data product is a global summary of the Level 2 land/surface parameters of interest averaged over a month and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product is ongoing. This collection contains Leaf Area Index (LAI).\r\rFIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.\r\rMISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339835-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339835-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339835-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339835-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339835-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MLSNF_002",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MLSNF_002/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a month V002",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2002-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C156141677-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for MI3MLSNF_2 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/MISR/MI3MLSNF": {
+            "href": "https://asdc.larc.nasa.gov/data/MISR/MI3MLSNF.002/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for MI3MLSNF_2",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI3QCLDN_001.json b/datasets/MI3QCLDN_001.json
new file mode 100644
index 0000000000..229f13db26
--- /dev/null
+++ b/datasets/MI3QCLDN_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MI3QCLDN_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805942-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805942-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805942-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805942-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805942-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3QCLDN_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3QCLDN_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MI3QCLDN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MI3YCLDN_001.json b/datasets/MI3YCLDN_001.json
new file mode 100644
index 0000000000..caa12f8cda
--- /dev/null
+++ b/datasets/MI3YCLDN_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MI3YCLDN_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927808260-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927808260-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927808260-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927808260-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927808260-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3YCLDN_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3YCLDN_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MI3YCLDN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIANRCCH_003.json b/datasets/MIANRCCH_003.json
new file mode 100644
index 0000000000..7e8a3fc3c1
--- /dev/null
+++ b/datasets/MIANRCCH_003.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIANRCCH_003",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927795536-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927795536-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927795536-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927795536-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927795536-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIANRCCH_003",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIANRCCH_003/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIANRCCH",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIB2GEOP_003.json b/datasets/MIB2GEOP_003.json
index 1fd605bd3c..f7d4015d96 100644
--- a/datasets/MIB2GEOP_003.json
+++ b/datasets/MIB2GEOP_003.json
@@ -86,7 +86,7 @@
         "temporal": {
             "interval": [
                 [
-                    "2022-10-13T00:00:00Z",
+                    "1999-12-18T00:00:00Z",
                     null
                 ]
             ]
diff --git a/datasets/MIL2ADF_001.json b/datasets/MIL2ADF_001.json
new file mode 100644
index 0000000000..f0bfea6e1e
--- /dev/null
+++ b/datasets/MIL2ADF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL2ADF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927788242-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927788242-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927788242-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927788242-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927788242-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIL2ADF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIL2ADF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL2ADF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL2AD_001.json b/datasets/MIL2AD_001.json
new file mode 100644
index 0000000000..fdfea7df9a
--- /dev/null
+++ b/datasets/MIL2AD_001.json
@@ -0,0 +1,96 @@
+{
+    "type": "Collection",
+    "id": "MIL2AD_001",
+    "stac_version": "1.0.0",
+    "description": "This is the Level 2 Aerosol Product containing diagnostic parameters relating to the aerosol retrieval processing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937935485-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937935485-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937935485-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937935485-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2937935485-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2AD_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2AD_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 2 Aerosol diagnostic parameters V001",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1999-12-18T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary"
+}
\ No newline at end of file
diff --git a/datasets/MIL2ASAE_002.json b/datasets/MIL2ASAE_002.json
index 20127fefc2..cc84eb4c34 100644
--- a/datasets/MIL2ASAE_002.json
+++ b/datasets/MIL2ASAE_002.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASAE_002",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASAE_002",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASAE_002/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASAE_002/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2ASAE_003.json b/datasets/MIL2ASAE_003.json
new file mode 100644
index 0000000000..e63256b8f7
--- /dev/null
+++ b/datasets/MIL2ASAE_003.json
@@ -0,0 +1,128 @@
+{
+    "type": "Collection",
+    "id": "MIL2ASAE_003",
+    "stac_version": "1.0.0",
+    "description": "This is the Level 2 Aerosol Product. It contains Aerosol optical depth and particle type, with associated atmospheric data.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336973-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336973-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336973-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336973-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336973-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2ASAE_003",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2ASAE_003/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 2 Aerosol parameters V003",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-03-01T01:06:13Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/misr.png",
+            "type": "image/jpeg",
+            "title": "Download misr.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/misr.png",
+            "title": "Thumbnail",
+            "description": "https://asdc.larc.nasa.gov/static/images/project_logos/misr.png",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL2ASAE_3.json b/datasets/MIL2ASAE_3.json
index 0399c608f0..1741cc6b04 100644
--- a/datasets/MIL2ASAE_3.json
+++ b/datasets/MIL2ASAE_3.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASAE_3",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASAE_3/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASAE_3/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2ASAF_002.json b/datasets/MIL2ASAF_002.json
index 88031f7f90..153d9718ac 100644
--- a/datasets/MIL2ASAF_002.json
+++ b/datasets/MIL2ASAF_002.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASAF_002",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASAF_002",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASAF_002/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASAF_002/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2ASLF_002.json b/datasets/MIL2ASLF_002.json
index 2f3c0f740e..972de71fc7 100644
--- a/datasets/MIL2ASLF_002.json
+++ b/datasets/MIL2ASLF_002.json
@@ -2,7 +2,7 @@
     "type": "Collection",
     "id": "MIL2ASLF_002",
     "stac_version": "1.0.0",
-    "description": "This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties, albedo(spectral and PAR integrated), FPAR, radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period.\nMIL2ASLF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 FIRSTLOOK Surface parameters version 2. It contains directional reflectance properties, albedo (spectral and photosynthetically active radiation (PAR) integrated), a fraction of photosynthetically active radiation absorbed by vegetation (FPAR), radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. Data collection for this product is ongoing. This collection contains the Leaf Area Index (LAI).\\r\\n\\r\\nMulti-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol data products contain various information on the Earth's atmosphere. The aerosol data include tropospheric aerosol optical depth on 17. 6-km centers archived with a compositional model identifier and retrieval residuals, ancillary data including relative humidity, ozone optical depth, stratospheric aerosol optical depth, and retrieval flags. MISR multi-angle imagery will be used to monitor global and regional trends radiatively significant to optical properties (optical depth, single scattering albedo, and size distribution) and amounts (mass loading) of natural and anthropogenic aerosols, including those arising from industrial and volcanic emissions, slash-and-burn agriculture, and desertification. Coupled with MISR's determinations of top-of-atmosphere and surface albedos, these data will measure the global aerosol forcing of the shortwave planetary radiation budget. \\r\\n\\r\\nThe MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.\nMISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+    "description": "This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties, albedo(spectral and PAR integrated), FPAR, radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period.\nMIL2ASLF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 FIRSTLOOK Surface parameters version 2. It contains directional reflectance properties, albedo (spectral and photosynthetically active radiation (PAR) integrated), a fraction of photosynthetically active radiation absorbed by vegetation (FPAR), radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. Data collection for this product is ongoing. This collection contains the Leaf Area Index (LAI).\nMulti-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol data products contain information on the Earth's atmosphere. The aerosol data include tropospheric aerosol optical depth on 17. 6-km centers archived with a compositional model identifier and retrieval residuals, ancillary data including relative humidity, ozone optical depth, stratospheric aerosol optical depth, and retrieval flags. MISR multi-angle imagery will be used to monitor global and regional trends radiatively significant to optical properties (optical depth, single scattering albedo, and size distribution) and amounts (mass loading) of natural and anthropogenic aerosols, including those arising from industrial and volcanic emissions, slash-and-burn agriculture, and desertification. Coupled with MISR's determinations of top-of-atmosphere and surface albedos, these data will measure the global aerosol forcing of the shortwave planetary radiation budget. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.\nMISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, all nine cameras successfully imaged each piece of Earth's surface below in 4 wavelengths (blue, green, red, and near-infrared). MISR aims to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
     "links": [
         {
             "rel": "license",
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASLF_002",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASLF_002",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASLF_002/items",
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diff --git a/datasets/MIL2ASLS_003.json b/datasets/MIL2ASLS_003.json
new file mode 100644
index 0000000000..713b0cc019
--- /dev/null
+++ b/datasets/MIL2ASLS_003.json
@@ -0,0 +1,112 @@
+{
+    "type": "Collection",
+    "id": "MIL2ASLS_003",
+    "stac_version": "1.0.0",
+    "description": "This Level 2 Land Surface product contains directional reflectance properties,albedo(spectral & PAR integrated),FPAR, radiation parameters & terrain-referenced geometric parameters.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337125-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337125-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337125-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337125-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337125-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2ASLS_003",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2ASLS_003/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 2 Surface parameters V003",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-03-01T01:06:13Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL2ASLS_2.json b/datasets/MIL2ASLS_2.json
index 422df6b256..cda1bfa11c 100644
--- a/datasets/MIL2ASLS_2.json
+++ b/datasets/MIL2ASLS_2.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASLS_2",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASLS_2",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASLS_2/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASLS_2/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2ASLS_3.json b/datasets/MIL2ASLS_3.json
index 1a8bc97f02..584ec1105d 100644
--- a/datasets/MIL2ASLS_3.json
+++ b/datasets/MIL2ASLS_3.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASLS_3",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASLS_3",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASLS_3/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASLS_3/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2TCAF_001.json b/datasets/MIL2TCAF_001.json
index a4fd150a09..eadd10f9fe 100644
--- a/datasets/MIL2TCAF_001.json
+++ b/datasets/MIL2TCAF_001.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCAF_001",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCAF_001",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCAF_001/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCAF_001/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2TCAL_002.json b/datasets/MIL2TCAL_002.json
index 5bb17cf467..55592debe4 100644
--- a/datasets/MIL2TCAL_002.json
+++ b/datasets/MIL2TCAL_002.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCAL_002",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCAL_002",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCAL_002/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCAL_002/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2TCCF_001.json b/datasets/MIL2TCCF_001.json
index 809675e8d4..c9cac166c6 100644
--- a/datasets/MIL2TCCF_001.json
+++ b/datasets/MIL2TCCF_001.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCCF_001",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCCF_001",
             "type": "application/json"
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@@ -53,7 +53,7 @@
         },
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             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCCF_001/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCCF_001/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2TCCF_002.json b/datasets/MIL2TCCF_002.json
index 98330e7cd6..1147ce563a 100644
--- a/datasets/MIL2TCCF_002.json
+++ b/datasets/MIL2TCCF_002.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCCF_002",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCCF_002",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCCF_002/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCCF_002/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2TCCH_001.json b/datasets/MIL2TCCH_001.json
new file mode 100644
index 0000000000..7afdd1d312
--- /dev/null
+++ b/datasets/MIL2TCCH_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL2TCCH_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927791795-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927791795-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927791795-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927791795-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927791795-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIL2TCCH_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIL2TCCH_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL2TCCH",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL2TCCL_004.json b/datasets/MIL2TCCL_004.json
new file mode 100644
index 0000000000..11eb417105
--- /dev/null
+++ b/datasets/MIL2TCCL_004.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL2TCCL_004",
+    "stac_version": "1.0.0",
+    "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Classifier parameters V004 contains the Angular Signature Cloud Mask (ASCM), Regional Cloud Classifiers, Cloud Shadow Mask, and Topographic Shadow Mask, with associated data.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336647-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336647-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336647-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336647-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336647-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCCL_004",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCCL_004/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 2 TOA/Cloud Classifier parameters",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-02-24T16:33:37Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/Terra/MISR/MIL2TCCL_L2.004",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for MIL2TCCL_004",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL2TCHF_001.json b/datasets/MIL2TCHF_001.json
new file mode 100644
index 0000000000..a16b3948a6
--- /dev/null
+++ b/datasets/MIL2TCHF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL2TCHF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927787865-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927787865-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927787865-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927787865-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927787865-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL2TCHF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL2TCHF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL2TCHF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL2TCSD_001.json b/datasets/MIL2TCSD_001.json
new file mode 100644
index 0000000000..b064fb1325
--- /dev/null
+++ b/datasets/MIL2TCSD_001.json
@@ -0,0 +1,128 @@
+{
+    "type": "Collection",
+    "id": "MIL2TCSD_001",
+    "stac_version": "1.0.0",
+    "description": "This is the Level 2 TOA/Cloud Product containing the diagnostic parameters relating to the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769781-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769781-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769781-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769781-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769781-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCSD_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCSD_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 2 TOA/Cloud Height and Motion diagnostic parameters V001",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1999-12-18T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL2TCSD_002.json b/datasets/MIL2TCSD_002.json
new file mode 100644
index 0000000000..8e7abdc830
--- /dev/null
+++ b/datasets/MIL2TCSD_002.json
@@ -0,0 +1,128 @@
+{
+    "type": "Collection",
+    "id": "MIL2TCSD_002",
+    "stac_version": "1.0.0",
+    "description": "This is the Level 2 TOA/Cloud Product containing the diagnostic parameters relating to the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425262-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425262-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425262-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425262-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425262-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCSD_002",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCSD_002/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 2 TOA/Cloud Height and Motion diagnostic parameters V002  Non-orderable",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1999-12-18T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL2TCSF_001.json b/datasets/MIL2TCSF_001.json
index d722d99d39..34c51dbd57 100644
--- a/datasets/MIL2TCSF_001.json
+++ b/datasets/MIL2TCSF_001.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCSF_001",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCSF_001",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2TCSF_001/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCSF_001/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MIL2TCST_002.json b/datasets/MIL2TCST_002.json
index 7e9e6327e9..1e167430c8 100644
--- a/datasets/MIL2TCST_002.json
+++ b/datasets/MIL2TCST_002.json
@@ -86,7 +86,7 @@
         "temporal": {
             "interval": [
                 [
-                    "2000-02-24T16:33:37Z",
+                    "1999-12-18T00:00:00Z",
                     null
                 ]
             ]
diff --git a/datasets/MIL3DALN_005.json b/datasets/MIL3DALN_005.json
new file mode 100644
index 0000000000..649d0b7fec
--- /dev/null
+++ b/datasets/MIL3DALN_005.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3DALN_005",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798737-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798737-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798737-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798737-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798737-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DALN_005",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DALN_005/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3DALN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3DAL_005.json b/datasets/MIL3DAL_005.json
new file mode 100644
index 0000000000..28e46363ee
--- /dev/null
+++ b/datasets/MIL3DAL_005.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3DAL_005",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927797763-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927797763-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927797763-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927797763-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927797763-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DAL_005",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DAL_005/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3DAL",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3DCLD_001.json b/datasets/MIL3DCLD_001.json
new file mode 100644
index 0000000000..b619829811
--- /dev/null
+++ b/datasets/MIL3DCLD_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3DCLD_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798198-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798198-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798198-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798198-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798198-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DCLD_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DCLD_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3DCLD",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3DRD_003.json b/datasets/MIL3DRD_003.json
new file mode 100644
index 0000000000..d17ecea4f0
--- /dev/null
+++ b/datasets/MIL3DRD_003.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3DRD_003",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927796459-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927796459-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927796459-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927796459-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927796459-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DRD_003",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DRD_003/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3DRD",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3MALN_005.json b/datasets/MIL3MALN_005.json
new file mode 100644
index 0000000000..c7dd933fef
--- /dev/null
+++ b/datasets/MIL3MALN_005.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3MALN_005",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801574-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801574-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801574-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801574-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801574-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MALN_005",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MALN_005/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3MALN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3MAL_005.json b/datasets/MIL3MAL_005.json
new file mode 100644
index 0000000000..374f6d5436
--- /dev/null
+++ b/datasets/MIL3MAL_005.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3MAL_005",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800811-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800811-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800811-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800811-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800811-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MAL_005",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MAL_005/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3MAL",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3MCFA_001.json b/datasets/MIL3MCFA_001.json
new file mode 100644
index 0000000000..a1bf426c74
--- /dev/null
+++ b/datasets/MIL3MCFA_001.json
@@ -0,0 +1,152 @@
+{
+    "type": "Collection",
+    "id": "MIL3MCFA_001",
+    "stac_version": "1.0.0",
+    "description": "MIL3MCFA_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Fraction by Altitude Product covering a month version 1. It provides the frequency of cloud occurrence partitioned into different cloud top height bins at a global and monthly scale with a latitude/longitude resolution of 0.5 degree by 0.5 degree and a vertical resolution of 500m. For each height bin, the frequency of cloud occurrence of a region over a time period is represented by the temporal mean of the spatial coverage of cloud tops. The spatial coverage of clouds is referred to as cloud fraction, which is defined as the ratio of the number of cloudy pixels to the total number of cloudy and cloud-free pixels observed by the instrument. Clouds are assigned to height bins based on their top height as retrieved by the MISR stereoscopic technique. Data collection for this product is complete.\r\rThe MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.\r\rMISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772357-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772357-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772357-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772357-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772357-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3MCFA_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3MCFA_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 3 Cloud Fraction by Altitude Product covering a month V001",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-03-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C188637669-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for MIL3MCFA_1 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/MISR/MIL3MCFA": {
+            "href": "https://asdc.larc.nasa.gov/data/MISR/MIL3MCFA.001/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for MIL3MCFA_1",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/Terra/MISR/MIL3MCFA_L3.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for MIL3MCFA_1",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3MCLD_001.json b/datasets/MIL3MCLD_001.json
new file mode 100644
index 0000000000..58a953b868
--- /dev/null
+++ b/datasets/MIL3MCLD_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3MCLD_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801317-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801317-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801317-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801317-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801317-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MCLD_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MCLD_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3MCLD",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3MJTA_002.json b/datasets/MIL3MJTA_002.json
new file mode 100644
index 0000000000..22f8b15291
--- /dev/null
+++ b/datasets/MIL3MJTA_002.json
@@ -0,0 +1,152 @@
+{
+    "type": "Collection",
+    "id": "MIL3MJTA_002",
+    "stac_version": "1.0.0",
+    "description": "MIL3MJTA_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Joint Aerosol monthly product version 2 data product. It contains global statistical summaries of MISR Level 2 aerosol optical depth, on a 5 degree geographic grid. Within each grid cell, optical depth is summarized by a set of representative vectors, each representing a cluster of similar Level 2 aerosol optical depth retrievals. Data is summarized monthly. Data collection for this product is ongoing.\r\rThe MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.\r\rMISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument fly\u2019s overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772960-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772960-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772960-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772960-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772960-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIL3MJTA_002",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIL3MJTA_002/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 3 Global Joint Aerosol monthly product V002",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2000-03-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "gov/data/MISR/MIL3MJTA": {
+            "href": "https://asdc.larc.nasa.gov/data/MISR/MIL3MJTA.002/",
+            "title": "Direct Download [0]",
+            "description": "ASDC Direct Data Download for MIL3MJTA_2",
+            "roles": [
+                "data"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1962111384-LARC",
+            "title": "Direct Download [1]",
+            "description": "Earthdata Search for MIL3MJTA_2 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/TERRA/MISR/MIL3MJTA.002",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for MIL3MJTA_2",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3MRD_004.json b/datasets/MIL3MRD_004.json
new file mode 100644
index 0000000000..81fdeb1dc2
--- /dev/null
+++ b/datasets/MIL3MRD_004.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3MRD_004",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800358-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800358-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800358-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800358-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800358-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MRD_004",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MRD_004/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3MRD",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3QALN_005.json b/datasets/MIL3QALN_005.json
new file mode 100644
index 0000000000..345a7392c5
--- /dev/null
+++ b/datasets/MIL3QALN_005.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3QALN_005",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805262-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805262-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805262-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805262-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805262-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QALN_005",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QALN_005/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3QALN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3QAL_005.json b/datasets/MIL3QAL_005.json
new file mode 100644
index 0000000000..e6fe648a8c
--- /dev/null
+++ b/datasets/MIL3QAL_005.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3QAL_005",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927803980-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927803980-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927803980-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927803980-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927803980-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QAL_005",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QAL_005/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3QAL",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3QCLD_001.json b/datasets/MIL3QCLD_001.json
new file mode 100644
index 0000000000..a7fe6863b4
--- /dev/null
+++ b/datasets/MIL3QCLD_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3QCLD_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927804452-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927804452-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927804452-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927804452-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927804452-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QCLD_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QCLD_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3QCLD",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3QRD_004.json b/datasets/MIL3QRD_004.json
new file mode 100644
index 0000000000..04f3dad451
--- /dev/null
+++ b/datasets/MIL3QRD_004.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3QRD_004",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927802171-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927802171-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927802171-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927802171-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927802171-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QRD_004",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QRD_004/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3QRD",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3YALN_005.json b/datasets/MIL3YALN_005.json
new file mode 100644
index 0000000000..409187ca1b
--- /dev/null
+++ b/datasets/MIL3YALN_005.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3YALN_005",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807776-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807776-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807776-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807776-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807776-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YALN_005",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YALN_005/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3YALN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3YAL_005.json b/datasets/MIL3YAL_005.json
new file mode 100644
index 0000000000..0713d20f10
--- /dev/null
+++ b/datasets/MIL3YAL_005.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3YAL_005",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806976-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806976-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806976-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806976-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806976-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YAL_005",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YAL_005/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3YAL",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3YCLD_001.json b/datasets/MIL3YCLD_001.json
new file mode 100644
index 0000000000..48226508c0
--- /dev/null
+++ b/datasets/MIL3YCLD_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3YCLD_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807520-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807520-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807520-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807520-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807520-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YCLD_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YCLD_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3YCLD",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3YCOD_001.json b/datasets/MIL3YCOD_001.json
new file mode 100644
index 0000000000..2cc7f38f71
--- /dev/null
+++ b/datasets/MIL3YCOD_001.json
@@ -0,0 +1,152 @@
+{
+    "type": "Collection",
+    "id": "MIL3YCOD_001",
+    "stac_version": "1.0.0",
+    "description": "MIL3YCOD_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Top Height-Optical Depth Product covering a year version 1. MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775779-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775779-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775779-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775779-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775779-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3YCOD_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3YCOD_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Level 3 Cloud Top Height-Optical Depth Product covering a year V001",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1999-12-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "type": "image/jpeg",
+            "title": "Download imagery.html",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/documents/misr/imagery.html",
+            "title": "Thumbnail",
+            "description": "ASDC List of MISR Imagery and Articles",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "gov/data/MISR/MIL3YCOD": {
+            "href": "https://asdc.larc.nasa.gov/data/MISR/MIL3YCOD.001/",
+            "title": "Direct Download [0]",
+            "description": "ASDC Direct Data Download for MIL3YCOD_1",
+            "roles": [
+                "data"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1644916757-LARC",
+            "title": "Direct Download [1]",
+            "description": "Earthdata Search for MIL3YCOD_1 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/TERRA/MISR/MIL3YCOD.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for MIL3YCOD_1",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIL3YRD_004.json b/datasets/MIL3YRD_004.json
new file mode 100644
index 0000000000..60400d399e
--- /dev/null
+++ b/datasets/MIL3YRD_004.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIL3YRD_004",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806561-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806561-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806561-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806561-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806561-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YRD_004",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YRD_004/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIL3YRD",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIRCCHF_001.json b/datasets/MIRCCHF_001.json
new file mode 100644
index 0000000000..77c52ebbf1
--- /dev/null
+++ b/datasets/MIRCCHF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MIRCCHF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927786745-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927786745-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927786745-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927786745-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927786745-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIRCCHF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIRCCHF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MIRCCHF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MIRCCMF_002.json b/datasets/MIRCCMF_002.json
index 2d28c487c1..9298be59e0 100644
--- a/datasets/MIRCCMF_002.json
+++ b/datasets/MIRCCMF_002.json
@@ -86,7 +86,7 @@
         "temporal": {
             "interval": [
                 [
-                    "2000-02-24T16:33:38Z",
+                    "1999-12-18T00:00:00Z",
                     null
                 ]
             ]
diff --git a/datasets/MISBR_005.json b/datasets/MISBR_005.json
index ba81cb062f..fde498e310 100644
--- a/datasets/MISBR_005.json
+++ b/datasets/MISBR_005.json
@@ -2,7 +2,7 @@
     "type": "Collection",
     "id": "MISBR_005",
     "stac_version": "1.0.0",
-    "description": "This is the browse data associated with a particular granule.",
+    "description": "This is the browse data associated with a particular granule.\nMISBR_005 is the Multi-angle Imaging SpectroRadiometer (MISR) Browse data version 5. It consists of Ellipsoid color images obtained by each camera resampled to 2. 2 km resolution. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
     "links": [
         {
             "rel": "license",
diff --git a/datasets/MISCALAA_001.json b/datasets/MISCALAA_001.json
new file mode 100644
index 0000000000..bba79a004c
--- /dev/null
+++ b/datasets/MISCALAA_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISCALAA_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864050483-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864050483-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864050483-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864050483-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864050483-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALAA_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALAA_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISCALAA",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISCALAF_001.json b/datasets/MISCALAF_001.json
new file mode 100644
index 0000000000..dd2fa5dd96
--- /dev/null
+++ b/datasets/MISCALAF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISCALAF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864059940-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864059940-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864059940-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864059940-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864059940-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALAF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALAF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISCALAF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISCALAN_001.json b/datasets/MISCALAN_001.json
new file mode 100644
index 0000000000..129fbbfd05
--- /dev/null
+++ b/datasets/MISCALAN_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISCALAN_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864066587-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864066587-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864066587-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864066587-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864066587-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALAN_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALAN_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISCALAN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISCALBA_001.json b/datasets/MISCALBA_001.json
new file mode 100644
index 0000000000..9c7c7fcd2d
--- /dev/null
+++ b/datasets/MISCALBA_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISCALBA_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864072509-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864072509-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864072509-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864072509-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864072509-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALBA_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALBA_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISCALBA",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISCALBF_001.json b/datasets/MISCALBF_001.json
new file mode 100644
index 0000000000..930e63991c
--- /dev/null
+++ b/datasets/MISCALBF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISCALBF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864077777-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864077777-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864077777-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864077777-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864077777-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALBF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALBF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISCALBF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISCALCA_001.json b/datasets/MISCALCA_001.json
new file mode 100644
index 0000000000..fb351eda15
--- /dev/null
+++ b/datasets/MISCALCA_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISCALCA_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864082227-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864082227-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864082227-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864082227-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864082227-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALCA_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALCA_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISCALCA",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISCALCF_001.json b/datasets/MISCALCF_001.json
new file mode 100644
index 0000000000..c738826ae0
--- /dev/null
+++ b/datasets/MISCALCF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISCALCF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864134296-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864134296-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864134296-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864134296-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864134296-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALCF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALCF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISCALCF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISCALDA_001.json b/datasets/MISCALDA_001.json
new file mode 100644
index 0000000000..472bb24195
--- /dev/null
+++ b/datasets/MISCALDA_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISCALDA_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864139120-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864139120-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864139120-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864139120-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864139120-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALDA_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALDA_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISCALDA",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISCALDF_001.json b/datasets/MISCALDF_001.json
new file mode 100644
index 0000000000..004073d473
--- /dev/null
+++ b/datasets/MISCALDF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISCALDF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864147588-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864147588-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864147588-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864147588-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864147588-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALDF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISCALDF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISCALDF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0AA_001.json b/datasets/MISL0AA_001.json
new file mode 100644
index 0000000000..dd32be4ae2
--- /dev/null
+++ b/datasets/MISL0AA_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0AA_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862790477-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862790477-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862790477-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862790477-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862790477-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISL0AA_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISL0AA_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0AA",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0AF_001.json b/datasets/MISL0AF_001.json
new file mode 100644
index 0000000000..59086cc2d5
--- /dev/null
+++ b/datasets/MISL0AF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0AF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862803019-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862803019-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862803019-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862803019-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862803019-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISL0AF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/MISL0AF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0AF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0AN_001.json b/datasets/MISL0AN_001.json
new file mode 100644
index 0000000000..e9c48ec866
--- /dev/null
+++ b/datasets/MISL0AN_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0AN_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862805917-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862805917-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862805917-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862805917-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862805917-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0AN_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0AN_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0AN",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0BA_001.json b/datasets/MISL0BA_001.json
new file mode 100644
index 0000000000..7e1b22122e
--- /dev/null
+++ b/datasets/MISL0BA_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0BA_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862819514-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862819514-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862819514-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862819514-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862819514-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0BA_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0BA_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0BA",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0BF_001.json b/datasets/MISL0BF_001.json
new file mode 100644
index 0000000000..15fd5d7807
--- /dev/null
+++ b/datasets/MISL0BF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0BF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862824967-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862824967-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862824967-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862824967-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862824967-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0BF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0BF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0BF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0CAL_001.json b/datasets/MISL0CAL_001.json
new file mode 100644
index 0000000000..ab02b095c8
--- /dev/null
+++ b/datasets/MISL0CAL_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0CAL_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864036617-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864036617-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864036617-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864036617-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864036617-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0CAL_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0CAL_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0CAL",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0CA_001.json b/datasets/MISL0CA_001.json
new file mode 100644
index 0000000000..96013178c4
--- /dev/null
+++ b/datasets/MISL0CA_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0CA_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862829312-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862829312-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862829312-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862829312-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862829312-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0CA_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0CA_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0CA",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0CF_001.json b/datasets/MISL0CF_001.json
new file mode 100644
index 0000000000..fdc407503f
--- /dev/null
+++ b/datasets/MISL0CF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0CF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862834959-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862834959-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862834959-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862834959-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862834959-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0CF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0CF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0CF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0DA_001.json b/datasets/MISL0DA_001.json
new file mode 100644
index 0000000000..476b532cd7
--- /dev/null
+++ b/datasets/MISL0DA_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0DA_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862841437-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862841437-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862841437-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862841437-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862841437-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0DA_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0DA_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0DA",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0DF_001.json b/datasets/MISL0DF_001.json
new file mode 100644
index 0000000000..3ded46935d
--- /dev/null
+++ b/datasets/MISL0DF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0DF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864024234-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864024234-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864024234-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864024234-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864024234-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0DF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0DF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0DF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0ENG_001.json b/datasets/MISL0ENG_001.json
new file mode 100644
index 0000000000..5c08cf8ff7
--- /dev/null
+++ b/datasets/MISL0ENG_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0ENG_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864028083-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864028083-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864028083-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864028083-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864028083-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0ENG_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0ENG_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0ENG",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0MTR_001.json b/datasets/MISL0MTR_001.json
new file mode 100644
index 0000000000..b2f2f50f7f
--- /dev/null
+++ b/datasets/MISL0MTR_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0MTR_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864041371-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864041371-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864041371-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864041371-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2864041371-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0MTR_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0MTR_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0MTR",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0SY1_001.json b/datasets/MISL0SY1_001.json
new file mode 100644
index 0000000000..227d18c869
--- /dev/null
+++ b/datasets/MISL0SY1_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0SY1_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862642711-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862642711-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862642711-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862642711-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862642711-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0SY1_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0SY1_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0SY1",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISL0SY2_001.json b/datasets/MISL0SY2_001.json
new file mode 100644
index 0000000000..5825898877
--- /dev/null
+++ b/datasets/MISL0SY2_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISL0SY2_001",
+    "stac_version": "1.0.0",
+    "description": "MISR EDOS Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862678078-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862678078-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862678078-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862678078-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2862678078-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0SY2_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MISL0SY2_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR EDOS Non-orderable MISL0SY2",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISQAF_001.json b/datasets/MISQAF_001.json
new file mode 100644
index 0000000000..696898ff67
--- /dev/null
+++ b/datasets/MISQAF_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISQAF_001",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927790577-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927790577-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927790577-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927790577-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927790577-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MISQAF_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MISQAF_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MISQAF",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISQA_003.json b/datasets/MISQA_003.json
new file mode 100644
index 0000000000..70bf4ddaab
--- /dev/null
+++ b/datasets/MISQA_003.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "MISQA_003",
+    "stac_version": "1.0.0",
+    "description": "MISR Non-orderable collection for ingest testing.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927793748-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927793748-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927793748-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927793748-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2927793748-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MISQA_003",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MISQA_003/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "MISR Non-orderable MISQA",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/MISR_Forest_AGB_SW_US_1978_1.json b/datasets/MISR_Forest_AGB_SW_US_1978_1.json
index 4c467c2ac9..412af478fa 100644
--- a/datasets/MISR_Forest_AGB_SW_US_1978_1.json
+++ b/datasets/MISR_Forest_AGB_SW_US_1978_1.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZm9yZXN0IGFib3ZlZ3JvdW5kIGJpb21hc3MgYW5kIGNhcmJvbiBzZXF1ZXN0cmF0aW9uIHBvdGVudGlhbCBmb3IgbWFyeWxhbmQsIHVzYS5cIixcIk9STkxfQ0xPVURcIixcIkNNU19Gb3Jlc3RfQ2FyYm9uX01hcnlsYW5kXzE2NjBcIixcIjFcIiwyMzg5MDY0OTIzLDhdIiwidW1tIjoiW1wiZm9yZXN0IGFib3ZlZ3JvdW5kIGJpb21hc3MgYW5kIGNhcmJvbiBzZXF1ZXN0cmF0aW9uIHBvdGVudGlhbCBmb3IgbWFyeWxhbmQsIHVzYS5cIixcIk9STkxfQ0xPVURcIixcIkNNU19Gb3Jlc3RfQ2FyYm9uX01hcnlsYW5kXzE2NjBcIixcIjFcIiwyMzg5MDY0OTIzLDhdIn0%3D/MISR_Forest_AGB_SW_US_1978_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZm9yZXN0IGFib3ZlZ3JvdW5kIGJpb21hc3MgYW5kIGNhcmJvbiBzZXF1ZXN0cmF0aW9uIHBvdGVudGlhbCwgbm9ydGhlYXN0ZXJuIHVzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQUdCX0NhcmJvbl9TZXF1ZXN0cmF0aW9uX1JHR0lfMTkyMlwiLFwiMVwiLDIzNDU3OTg5NDAsNV0iLCJ1bW0iOiJbXCJmb3Jlc3QgYWJvdmVncm91bmQgYmlvbWFzcyBhbmQgY2FyYm9uIHNlcXVlc3RyYXRpb24gcG90ZW50aWFsLCBub3J0aGVhc3Rlcm4gdXNhXCIsXCJPUk5MX0NMT1VEXCIsXCJBR0JfQ2FyYm9uX1NlcXVlc3RyYXRpb25fUkdHSV8xOTIyXCIsXCIxXCIsMjM0NTc5ODk0MCw1XSJ9/MISR_Forest_AGB_SW_US_1978_1",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZm9yZXN0IGFib3ZlZ3JvdW5kIGJpb21hc3MgYW5kIGNhcmJvbiBzZXF1ZXN0cmF0aW9uIHBvdGVudGlhbCBmb3IgbWFyeWxhbmQsIHVzYS5cIixcIk9STkxfQ0xPVURcIixcIkNNU19Gb3Jlc3RfQ2FyYm9uX01hcnlsYW5kXzE2NjBcIixcIjFcIiwyMzg5MDY0OTIzLDhdIiwidW1tIjoiW1wiZm9yZXN0IGFib3ZlZ3JvdW5kIGJpb21hc3MgYW5kIGNhcmJvbiBzZXF1ZXN0cmF0aW9uIHBvdGVudGlhbCBmb3IgbWFyeWxhbmQsIHVzYS5cIixcIk9STkxfQ0xPVURcIixcIkNNU19Gb3Jlc3RfQ2FyYm9uX01hcnlsYW5kXzE2NjBcIixcIjFcIiwyMzg5MDY0OTIzLDhdIn0%3D/MISR_Forest_AGB_SW_US_1978_1/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZm9yZXN0IGFib3ZlZ3JvdW5kIGJpb21hc3MgYW5kIGNhcmJvbiBzZXF1ZXN0cmF0aW9uIHBvdGVudGlhbCwgbm9ydGhlYXN0ZXJuIHVzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQUdCX0NhcmJvbl9TZXF1ZXN0cmF0aW9uX1JHR0lfMTkyMlwiLFwiMVwiLDIzNDU3OTg5NDAsNV0iLCJ1bW0iOiJbXCJmb3Jlc3QgYWJvdmVncm91bmQgYmlvbWFzcyBhbmQgY2FyYm9uIHNlcXVlc3RyYXRpb24gcG90ZW50aWFsLCBub3J0aGVhc3Rlcm4gdXNhXCIsXCJPUk5MX0NMT1VEXCIsXCJBR0JfQ2FyYm9uX1NlcXVlc3RyYXRpb25fUkdHSV8xOTIyXCIsXCIxXCIsMjM0NTc5ODk0MCw1XSJ9/MISR_Forest_AGB_SW_US_1978_1/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/MOD09A1_061.json b/datasets/MOD09A1_061.json
index 64d7d31af8..4b95473cf4 100644
--- a/datasets/MOD09A1_061.json
+++ b/datasets/MOD09A1_061.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMvdGVycmEgbGFuZCB3YXRlciBtYXNrIGRlcml2ZWQgZnJvbSBtb2RpcyBhbmQgc3J0bSBsMyBnbG9iYWwgMjUwbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0Q0NFdcIixcIjYxXCIsMjU2NTgwNTg0NywyNF0iLCJ1bW0iOiJbXCJtb2Rpcy90ZXJyYSBsYW5kIHdhdGVyIG1hc2sgZGVyaXZlZCBmcm9tIG1vZGlzIGFuZCBzcnRtIGwzIGdsb2JhbCAyNTBtIHNpbiBncmlkIHYwNjFcIixcIkxQQ0xPVURcIixcIk1PRDQ0V1wiLFwiNjFcIiwyNTY1ODA1ODQ3LDI0XSJ9/MOD09A1_061",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMvdGVycmEgbGFuZCB3YXRlciBtYXNrIGRlcml2ZWQgZnJvbSBtb2RpcyBhbmQgc3J0bSBsMyBnbG9iYWwgMjUwbSBzaW4gZ3JpZCB2MDYxXCIsXCJMUENMT1VEXCIsXCJNT0Q0NFdcIixcIjYxXCIsMjU2NTgwNTg0NywyNV0iLCJ1bW0iOiJbXCJtb2Rpcy90ZXJyYSBsYW5kIHdhdGVyIG1hc2sgZGVyaXZlZCBmcm9tIG1vZGlzIGFuZCBzcnRtIGwzIGdsb2JhbCAyNTBtIHNpbiBncmlkIHYwNjFcIixcIkxQQ0xPVURcIixcIk1PRDQ0V1wiLFwiNjFcIiwyNTY1ODA1ODQ3LDI1XSJ9/MOD09A1_061",
             "type": "application/json"
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD09CMG_061.json b/datasets/MOD09CMG_061.json
index 7447c6eab2..97c07ae05e 100644
--- a/datasets/MOD09CMG_061.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/MOD09GA_061.json b/datasets/MOD09GA_061.json
index 2e0356b04e..e722655f3e 100644
--- a/datasets/MOD09GA_061.json
+++ b/datasets/MOD09GA_061.json
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD09GQ_061.json b/datasets/MOD09GQ_061.json
index be21147f1a..6dac3ed5ee 100644
--- a/datasets/MOD09GQ_061.json
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@@ -42,7 +42,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD09Q1_061.json b/datasets/MOD09Q1_061.json
index 534ada21d3..e1555e08d0 100644
--- a/datasets/MOD09Q1_061.json
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@@ -42,7 +42,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD10A1F_61.json b/datasets/MOD10A1F_61.json
index e35fd4fbfa..7e809292f4 100644
--- a/datasets/MOD10A1F_61.json
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index 61954e649a..a5e29eac68 100644
--- a/datasets/MOD10A1_61.json
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index 61f796880d..fa01b3ae59 100644
--- a/datasets/MOD10A2_61.json
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diff --git a/datasets/MOD10C1_61.json b/datasets/MOD10C1_61.json
index 80c0370afa..edb8e9e7a6 100644
--- a/datasets/MOD10C1_61.json
+++ b/datasets/MOD10C1_61.json
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diff --git a/datasets/MOD10C2_61.json b/datasets/MOD10C2_61.json
index b5031f3627..a37507c52b 100644
--- a/datasets/MOD10C2_61.json
+++ b/datasets/MOD10C2_61.json
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diff --git a/datasets/MOD10CM_61.json b/datasets/MOD10CM_61.json
index f0d045a508..d716acba49 100644
--- a/datasets/MOD10CM_61.json
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diff --git a/datasets/MOD10_L2_61.json b/datasets/MOD10_L2_61.json
index 8a68c52c9b..898377cb18 100644
--- a/datasets/MOD10_L2_61.json
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diff --git a/datasets/MOD11A1_061.json b/datasets/MOD11A1_061.json
index cd32d00844..17385a954e 100644
--- a/datasets/MOD11A1_061.json
+++ b/datasets/MOD11A1_061.json
@@ -121,7 +121,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD11A2_061.json b/datasets/MOD11A2_061.json
index 2d0a562f38..298a54c842 100644
--- a/datasets/MOD11A2_061.json
+++ b/datasets/MOD11A2_061.json
@@ -121,7 +121,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD13A1_061.json b/datasets/MOD13A1_061.json
index f8b2e275c5..ffc1cc901b 100644
--- a/datasets/MOD13A1_061.json
+++ b/datasets/MOD13A1_061.json
@@ -42,7 +42,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD13A2_061.json b/datasets/MOD13A2_061.json
index 4ee8f11288..f463c83b09 100644
--- a/datasets/MOD13A2_061.json
+++ b/datasets/MOD13A2_061.json
@@ -42,7 +42,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD13A3_061.json b/datasets/MOD13A3_061.json
index 6b3f1c9e48..ded8389fa6 100644
--- a/datasets/MOD13A3_061.json
+++ b/datasets/MOD13A3_061.json
@@ -42,7 +42,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD13C1_061.json b/datasets/MOD13C1_061.json
index c30140d2b9..f2eb36aed9 100644
--- a/datasets/MOD13C1_061.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/MOD13C2_061.json b/datasets/MOD13C2_061.json
index e62447dcae..0ad14272bb 100644
--- a/datasets/MOD13C2_061.json
+++ b/datasets/MOD13C2_061.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/MOD13Q1_061.json b/datasets/MOD13Q1_061.json
index 06dee7704e..a4d93a8955 100644
--- a/datasets/MOD13Q1_061.json
+++ b/datasets/MOD13Q1_061.json
@@ -42,7 +42,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD14A1_061.json b/datasets/MOD14A1_061.json
index 8eb2896c7e..e736acfa19 100644
--- a/datasets/MOD14A1_061.json
+++ b/datasets/MOD14A1_061.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/MOD14A2_061.json b/datasets/MOD14A2_061.json
index 4d5cfad481..e16f3db18c 100644
--- a/datasets/MOD14A2_061.json
+++ b/datasets/MOD14A2_061.json
@@ -42,7 +42,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
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diff --git a/datasets/MOD14_061.json b/datasets/MOD14_061.json
index ad86fcd3e2..e3b61a0b9c 100644
--- a/datasets/MOD14_061.json
+++ b/datasets/MOD14_061.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/MOD15A2H_061.json b/datasets/MOD15A2H_061.json
index b64174845c..86d5f3d4da 100644
--- a/datasets/MOD15A2H_061.json
+++ b/datasets/MOD15A2H_061.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/MOD16A2GF_061.json b/datasets/MOD16A2GF_061.json
index cb6be4471c..077addbe13 100644
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index d0e3a27b43..0fe4aa5c8b 100644
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index 0e32697577..7119f473b5 100644
--- a/datasets/MOD16A3GF_061.json
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index 6019d1e577..2db8d39239 100644
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diff --git a/datasets/MOD17A2H_061.json b/datasets/MOD17A2H_061.json
index f0510b33c4..a9e93ac6d2 100644
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index 14a614a365..c333e5894b 100644
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD21A1D_061.json b/datasets/MOD21A1D_061.json
index 3b6165fbb5..bc5489c15c 100644
--- a/datasets/MOD21A1D_061.json
+++ b/datasets/MOD21A1D_061.json
@@ -121,7 +121,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD21A1N_061.json b/datasets/MOD21A1N_061.json
index 9020c3a97b..b87c799c1f 100644
--- a/datasets/MOD21A1N_061.json
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@@ -121,7 +121,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/MOD21A2_061.json b/datasets/MOD21A2_061.json
index fc94300a9c..5d68ebdd66 100644
--- a/datasets/MOD21A2_061.json
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@@ -121,7 +121,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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                 "data"
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diff --git a/datasets/MOD28C2_061.json b/datasets/MOD28C2_061.json
index db1cfc1c05..4322acb987 100644
--- a/datasets/MOD28C2_061.json
+++ b/datasets/MOD28C2_061.json
@@ -42,7 +42,7 @@
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index 7de90ad07b..cf0bd4f3d9 100644
--- a/datasets/MOD28C3_061.json
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diff --git a/datasets/MOD29E1D_61.json b/datasets/MOD29E1D_61.json
index 5202e469f0..36588cf7f2 100644
--- a/datasets/MOD29E1D_61.json
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index f1de959562..ab51eb5212 100644
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index 8c38564a90..3ffea15149 100644
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index e22108e51a..15542cccb9 100644
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index af3f70c52d..4cfbf59d25 100644
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index d00f99cf69..6a60a2ac2c 100644
--- a/datasets/MYD09A1_061.json
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diff --git a/datasets/MYD09GA_061.json b/datasets/MYD09GA_061.json
index f9ffbf025f..afe6555e0c 100644
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index 006dafcff3..23c3837334 100644
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index 1431d5108a..8d854c9ad1 100644
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index e96c74cd7b..6214e2ecb8 100644
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index 1cad639e04..656a6e93e4 100644
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index a293e12c39..92a8582eb5 100644
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index c2e822cf60..a36ef74e91 100644
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diff --git a/datasets/MYD10CM_61.json b/datasets/MYD10CM_61.json
index b2a28771e1..5f4651b9df 100644
--- a/datasets/MYD10CM_61.json
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index c1223eb37b..1b2779e952 100644
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index cb30f82d37..2e737cf8ea 100644
--- a/datasets/MYD11A1_061.json
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@@ -121,7 +121,7 @@
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index ec0b13bd83..ee04253d9c 100644
--- a/datasets/MYD11A2_061.json
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index b0085bc8ff..2769bf9320 100644
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index c52e19b4cd..3474779af5 100644
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index 2766a47d32..6844c777e0 100644
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index 60c73ba33a..e0ff816981 100644
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index 2eb9f0f26a..8f9789951a 100644
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index 49e15f0462..151db5ec5e 100644
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index ee4967951c..a1bfdbb0f0 100644
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index b6d525e795..f2aca70141 100644
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index eb7a282e38..1d97886b6e 100644
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index 7185593446..5476106cf2 100644
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index 323b8261a3..4ccd4c0bb0 100644
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index 67dec2cdb7..606a5f092a 100644
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index 694421ef63..3950bfc999 100644
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@@ -113,7 +113,7 @@
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index 1ada53eaaf..0a7314658b 100644
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index cce682c641..ef7bdb7b6d 100644
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index 7be1d65fe9..cbdcabf4fc 100644
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index 4aad9aede9..6c5b9d7bce 100644
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index 3f76e205ef..7a94ef7325 100644
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index 005e37c5fd..f38468d4b3 100644
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diff --git a/datasets/Meteorological_1065_1.json b/datasets/Meteorological_1065_1.json
index 41a96a267e..6f42bc2428 100644
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diff --git a/datasets/Methane_Ebullition_Lakes_AK_1861_1.json b/datasets/Methane_Ebullition_Lakes_AK_1861_1.json
index f8e3fa2f3d..3daca7e686 100644
--- a/datasets/Methane_Ebullition_Lakes_AK_1861_1.json
+++ b/datasets/Methane_Ebullition_Lakes_AK_1861_1.json
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index d0b3b805f2..7430732b34 100644
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index b07589cca6..22a83b7911 100644
--- a/datasets/MonthlyWetland_CH4_WetCHARTsV2_2346_1.3.3.json
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index 2f07333a1c..ab2d8916dc 100644
--- a/datasets/Monthly_Hydrological_Fluxes_1647_1.json
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diff --git a/datasets/NACP_ACES_V2_1943_2.json b/datasets/NACP_ACES_V2_1943_2.json
index abee8d2a87..05a00c5528 100644
--- a/datasets/NACP_ACES_V2_1943_2.json
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@@ -42,7 +42,7 @@
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index 6c27229aee..cf4b36eefe 100644
--- a/datasets/NACP_NAM_HYSPLIT_Footprints_1586_1.json
+++ b/datasets/NACP_NAM_HYSPLIT_Footprints_1586_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/NACP_Vista_CA_CH4_Inventory_1726_1.json b/datasets/NACP_Vista_CA_CH4_Inventory_1726_1.json
index 7b611c92e6..105b18afdd 100644
--- a/datasets/NACP_Vista_CA_CH4_Inventory_1726_1.json
+++ b/datasets/NACP_Vista_CA_CH4_Inventory_1726_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/NACP_Vista_LA_CH4_Inventory_1525_1.json b/datasets/NACP_Vista_LA_CH4_Inventory_1525_1.json
index 656701fad1..87b4fea674 100644
--- a/datasets/NACP_Vista_LA_CH4_Inventory_1525_1.json
+++ b/datasets/NACP_Vista_LA_CH4_Inventory_1525_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/NASADEM_NC_001.json b/datasets/NASADEM_NC_001.json
index 11b43fd7ec..16bb46280a 100644
--- a/datasets/NASADEM_NC_001.json
+++ b/datasets/NASADEM_NC_001.json
@@ -121,7 +121,7 @@
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             "title": "Direct Download [2]",
-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
                 "data"
             ]
diff --git a/datasets/NASADEM_NUMNC_001.json b/datasets/NASADEM_NUMNC_001.json
index 92fcf334f4..4f59806224 100644
--- a/datasets/NASADEM_NUMNC_001.json
+++ b/datasets/NASADEM_NUMNC_001.json
@@ -121,7 +121,7 @@
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             "title": "Direct Download [2]",
-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
             "roles": [
                 "data"
             ]
diff --git a/datasets/NASASatellite_Dev_Applications_2293_1.json b/datasets/NASASatellite_Dev_Applications_2293_1.json
index 59c1ad3345..c9ffd9e229 100644
--- a/datasets/NASASatellite_Dev_Applications_2293_1.json
+++ b/datasets/NASASatellite_Dev_Applications_2293_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/ND01_Age_Maps_1184_1.json b/datasets/ND01_Age_Maps_1184_1.json
index 1cfdf479ac..1e247d43f6 100644
--- a/datasets/ND01_Age_Maps_1184_1.json
+++ b/datasets/ND01_Age_Maps_1184_1.json
@@ -42,7 +42,7 @@
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index 3b283950eb..069a498922 100644
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index 1974652445..9816b600ad 100644
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index d18253e5bd..88bddcc10e 100644
--- a/datasets/ND01_Pasture_Nutrients_1135_1.json
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index bc29745da3..f63750ee67 100644
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index fb5771696b..9de06257a4 100644
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diff --git a/datasets/ND06_LandUse_Studies_1130_1.json b/datasets/ND06_LandUse_Studies_1130_1.json
index 66e2cc15c4..bbb3a0fbd9 100644
--- a/datasets/ND06_LandUse_Studies_1130_1.json
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@@ -42,7 +42,7 @@
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index 1b82c32b6d..f0e1631062 100644
--- a/datasets/ND11_Logging_Damage_MT_977_1.json
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index 8db06ab233..92933152c8 100644
--- a/datasets/ND11_Nitrogen_Transfer_Leaf_Litter_915_1.json
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index c465fad8ef..544acd6182 100644
--- a/datasets/ND11_Regeneration_Succession_965_1.json
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index 4574703ba5..35e5ac8253 100644
--- a/datasets/ND11_Soil_Nitrate_Moisture_MT_976_1.json
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index 071d296a0d..8d8c4428fd 100644
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index b9b9135ad6..a954dddb02 100644
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index 0ac94e5795..5c2c76e2b8 100644
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index 030c1870e4..4800f5b1cc 100644
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index 783ae1799a..9810831be0 100644
--- a/datasets/NSIDC-0051_2.json
+++ b/datasets/NSIDC-0051_2.json
@@ -42,7 +42,7 @@
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index b60081e109..5817df3622 100644
--- a/datasets/NSIDC-0071_1.json
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@@ -42,7 +42,7 @@
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index 2ecdf3fb97..d1d99a8fb2 100644
--- a/datasets/NSIDC-0077_2.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/NSIDC-0080_2.json b/datasets/NSIDC-0080_2.json
index 413666a0ae..026a34f167 100644
--- a/datasets/NSIDC-0080_2.json
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diff --git a/datasets/NSIDC-0081_2.json b/datasets/NSIDC-0081_2.json
index 72504bcce7..ce3940bce8 100644
--- a/datasets/NSIDC-0081_2.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/NSIDC-0477_5.json b/datasets/NSIDC-0477_5.json
index bd93564e64..5d51cd9c4d 100644
--- a/datasets/NSIDC-0477_5.json
+++ b/datasets/NSIDC-0477_5.json
@@ -42,7 +42,7 @@
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index 61194a80cb..d66a05c8bc 100644
--- a/datasets/NSIDC-0478_2.json
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@@ -42,7 +42,7 @@
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index d6268e8764..e1d335d01e 100644
--- a/datasets/NSIDC-0481_4.json
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index 4fefb50584..5b3ee28a88 100644
--- a/datasets/NSIDC-0484_2.json
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@@ -42,7 +42,7 @@
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index 43a1607dd1..95ef6d1db9 100644
--- a/datasets/NSIDC-0498_2.json
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diff --git a/datasets/NSIDC-0525_1.json b/datasets/NSIDC-0525_1.json
index 4a5110b3da..a175053d4b 100644
--- a/datasets/NSIDC-0525_1.json
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diff --git a/datasets/NSIDC-0530_1.json b/datasets/NSIDC-0530_1.json
index 15f23d6f24..2ad35c15f0 100644
--- a/datasets/NSIDC-0530_1.json
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@@ -42,7 +42,7 @@
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index 3aa3e3416e..ea407bbb02 100644
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index fbb7b8e05a..02cd2e1355 100644
--- a/datasets/NSIDC-0532_1.json
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index bc5fb996b4..b932bd1889 100644
--- a/datasets/NSIDC-0533_1.json
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--- a/datasets/NSIDC-0534_1.json
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index 1e0bc7821a..f738ce7803 100644
--- a/datasets/NSIDC-0545_1.json
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index 5ff096b661..583a2ef6e9 100644
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index c7bb0016e7..3ed0d1f94c 100644
--- a/datasets/NSIDC-0630_1.json
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diff --git a/datasets/NSIDC-0642_2.json b/datasets/NSIDC-0642_2.json
index 690eddabcf..33e3222b72 100644
--- a/datasets/NSIDC-0642_2.json
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diff --git a/datasets/NSIDC-0645_1.json b/datasets/NSIDC-0645_1.json
index dfbfd53827..c88a048a05 100644
--- a/datasets/NSIDC-0645_1.json
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diff --git a/datasets/NSIDC-0646_3.json b/datasets/NSIDC-0646_3.json
index aee18eed41..1fdee74418 100644
--- a/datasets/NSIDC-0646_3.json
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@@ -42,7 +42,7 @@
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index 669c498e6a..de413addfd 100644
--- a/datasets/NSIDC-0666_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/NSIDC-0670_1.json b/datasets/NSIDC-0670_1.json
index e82f4d7c54..235200b66b 100644
--- a/datasets/NSIDC-0670_1.json
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index c7ac1a2ac3..bda36cd42c 100644
--- a/datasets/NSIDC-0709_2.json
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diff --git a/datasets/NSIDC-0712_1.json b/datasets/NSIDC-0712_1.json
index d2001603d6..23d91a4109 100644
--- a/datasets/NSIDC-0712_1.json
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diff --git a/datasets/NSIDC-0713_1.json b/datasets/NSIDC-0713_1.json
index 09a2f25521..9a37c9bf7c 100644
--- a/datasets/NSIDC-0713_1.json
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index dd27770504..457e544422 100644
--- a/datasets/NSIDC-0714_1.json
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@@ -42,7 +42,7 @@
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index 3c9087c6aa..fedd76a039 100644
--- a/datasets/NSIDC-0715_2.json
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@@ -42,7 +42,7 @@
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index af3b2a19ce..95b065128d 100644
--- a/datasets/NSIDC-0720_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/NSIDC-0723_4.json b/datasets/NSIDC-0723_4.json
index 264e8d0ff3..abdf2213bb 100644
--- a/datasets/NSIDC-0723_4.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/NSIDC-0724_1.json b/datasets/NSIDC-0724_1.json
index 4f30ad92fc..7693eecb6d 100644
--- a/datasets/NSIDC-0724_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/NSIDC-0725_5.json b/datasets/NSIDC-0725_5.json
index 61de801448..3571ce3276 100644
--- a/datasets/NSIDC-0725_5.json
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@@ -42,7 +42,7 @@
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index c8e28b0b24..54107b7f68 100644
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index c9cdb0d3bb..1966a9c4bb 100644
--- a/datasets/NSIDC-0731_5.json
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index 67623f2e8e..64699d4bf5 100644
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index 2ac84c24e2..0efbe691eb 100644
--- a/datasets/NSIDC-0754_1.json
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index 0786dd3d62..bc5b00d9f9 100644
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index c59abbcf08..ea21559373 100644
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index f4667eebf1..ef642fe565 100644
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index a1cd614204..b66bf52cd1 100644
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index 750b82a779..14b070e8ae 100644
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index fc11d7bc24..40097dd65a 100644
--- a/datasets/NSIDC-0787_1.json
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index a578660f80..76764ad5ce 100644
--- a/datasets/NSIDC-0791_1.json
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index 5eed10e865..464a4b8df3 100644
--- a/datasets/NSIDC-0792_1.json
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index 7df2978fe9..ac6a96968d 100644
--- a/datasets/NSIDC-0793_1.json
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index 8f50901b19..9405a1e156 100644
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index e6cd8c1eb0..723d81bd3a 100644
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index 3a8864ded0..af8474c8cf 100644
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index da29ae8aff..da1825f218 100644
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index ed8324e271..d990c86881 100644
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index a8f36cbb78..21d7a95511 100644
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index b255b85a24..02d91476fc 100644
--- a/datasets/Nome_Veg_Plots_1372_1.json
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index f36cec73c5..9b2170f0cb 100644
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index b3eb87b1eb..ff633bc393 100644
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index 1c986c3936..bfe91f9df0 100644
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index 5c600fd3bd..25d977208d 100644
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index 48f3edc790..ab581928bf 100644
--- a/datasets/North_Slope_Veg_Plots_1536_1.json
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index 14e3f19b80..3407561dc3 100644
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diff --git a/datasets/OLVIS1A_1.json b/datasets/OLVIS1A_1.json
index 04348a451c..e87dda6838 100644
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diff --git a/datasets/OMPS_N21_LP_L2_O3_DAILY_1.0.json b/datasets/OMPS_N21_LP_L2_O3_DAILY_1.0.json
index c15618a898..80b82c64f6 100644
--- a/datasets/OMPS_N21_LP_L2_O3_DAILY_1.0.json
+++ b/datasets/OMPS_N21_LP_L2_O3_DAILY_1.0.json
@@ -94,6 +94,14 @@
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+            "title": "Direct Download [0]",
+            "description": "Access the data via HTTPS.",
+            "roles": [
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+            ]
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index 34f5338326..2b6ce7a682 100644
--- a/datasets/Oumalik_Veg_plots_1506_1.json
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@@ -42,7 +42,7 @@
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index 739d2406f4..cbd5d16538 100644
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index e49c695c74..96d3e8822c 100644
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diff --git a/datasets/PEM-Tropics-A_Aerosol_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-Tropics-A_Aerosol_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..d482fafd77
--- /dev/null
+++ b/datasets/PEM-Tropics-A_Aerosol_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-A_Aerosol_AircraftInSitu_P3B_Data_1.json b/datasets/PEM-Tropics-A_Aerosol_AircraftInSitu_P3B_Data_1.json
new file mode 100644
index 0000000000..abdf5ef80b
--- /dev/null
+++ b/datasets/PEM-Tropics-A_Aerosol_AircraftInSitu_P3B_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-Tropics-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json b/datasets/PEM-Tropics-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json
new file mode 100644
index 0000000000..b40b896017
--- /dev/null
+++ b/datasets/PEM-Tropics-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json
@@ -0,0 +1,96 @@
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+}
\ No newline at end of file
diff --git a/datasets/PEM-Tropics-A_AircraftRemoteSensing_P3B_Data_1.json b/datasets/PEM-Tropics-A_AircraftRemoteSensing_P3B_Data_1.json
new file mode 100644
index 0000000000..d251f154a8
--- /dev/null
+++ b/datasets/PEM-Tropics-A_AircraftRemoteSensing_P3B_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-A_Merge_Data_1.json b/datasets/PEM-Tropics-A_Merge_Data_1.json
new file mode 100644
index 0000000000..0b988c511d
--- /dev/null
+++ b/datasets/PEM-Tropics-A_Merge_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-A_MetNav_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-Tropics-A_MetNav_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..4824f6ec62
--- /dev/null
+++ b/datasets/PEM-Tropics-A_MetNav_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-A_MetNav_AircraftInSitu_P3B_Data_1.json b/datasets/PEM-Tropics-A_MetNav_AircraftInSitu_P3B_Data_1.json
new file mode 100644
index 0000000000..9f60ceeb55
--- /dev/null
+++ b/datasets/PEM-Tropics-A_MetNav_AircraftInSitu_P3B_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-A_Satellite_Data_1.json b/datasets/PEM-Tropics-A_Satellite_Data_1.json
new file mode 100644
index 0000000000..66c4442892
--- /dev/null
+++ b/datasets/PEM-Tropics-A_Satellite_Data_1.json
@@ -0,0 +1,96 @@
+{
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\ No newline at end of file
diff --git a/datasets/PEM-Tropics-A_Sondes_Data_1.json b/datasets/PEM-Tropics-A_Sondes_Data_1.json
new file mode 100644
index 0000000000..374ef9fa4a
--- /dev/null
+++ b/datasets/PEM-Tropics-A_Sondes_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-A_TraceGas_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-Tropics-A_TraceGas_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..c4482dcfe9
--- /dev/null
+++ b/datasets/PEM-Tropics-A_TraceGas_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-A_TraceGas_AircraftInSitu_P3B_Data_1.json b/datasets/PEM-Tropics-A_TraceGas_AircraftInSitu_P3B_Data_1.json
new file mode 100644
index 0000000000..60e0b93cdf
--- /dev/null
+++ b/datasets/PEM-Tropics-A_TraceGas_AircraftInSitu_P3B_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-Tropics-A_Trajectory_DC8_Data_1.json b/datasets/PEM-Tropics-A_Trajectory_DC8_Data_1.json
new file mode 100644
index 0000000000..f44a56d764
--- /dev/null
+++ b/datasets/PEM-Tropics-A_Trajectory_DC8_Data_1.json
@@ -0,0 +1,96 @@
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new file mode 100644
index 0000000000..5cd9ed9a64
--- /dev/null
+++ b/datasets/PEM-Tropics-A_Trajectory_P3B_Data_1.json
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diff --git a/datasets/PEM-Tropics-A_jValue_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-Tropics-A_jValue_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..0906229598
--- /dev/null
+++ b/datasets/PEM-Tropics-A_jValue_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-Tropics-B_Aerosol_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-Tropics-B_Aerosol_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..8b5601f98f
--- /dev/null
+++ b/datasets/PEM-Tropics-B_Aerosol_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_Aerosol_AircraftInSitu_P3B_Data_1.json b/datasets/PEM-Tropics-B_Aerosol_AircraftInSitu_P3B_Data_1.json
new file mode 100644
index 0000000000..45e1ee6a25
--- /dev/null
+++ b/datasets/PEM-Tropics-B_Aerosol_AircraftInSitu_P3B_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_AircraftRemoteSensing_DC8_DIAL_Data_1.json b/datasets/PEM-Tropics-B_AircraftRemoteSensing_DC8_DIAL_Data_1.json
new file mode 100644
index 0000000000..bb5819e8e8
--- /dev/null
+++ b/datasets/PEM-Tropics-B_AircraftRemoteSensing_DC8_DIAL_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-Tropics-B_AircraftRemoteSensing_DC8_Data_1.json b/datasets/PEM-Tropics-B_AircraftRemoteSensing_DC8_Data_1.json
new file mode 100644
index 0000000000..f5a045ab6c
--- /dev/null
+++ b/datasets/PEM-Tropics-B_AircraftRemoteSensing_DC8_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_AircraftRemoteSensing_DC8_LASE_Data_1.json b/datasets/PEM-Tropics-B_AircraftRemoteSensing_DC8_LASE_Data_1.json
new file mode 100644
index 0000000000..b8796e8b3b
--- /dev/null
+++ b/datasets/PEM-Tropics-B_AircraftRemoteSensing_DC8_LASE_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_AircraftRemoteSensing_P3B_Data_1.json b/datasets/PEM-Tropics-B_AircraftRemoteSensing_P3B_Data_1.json
new file mode 100644
index 0000000000..52c46da3d7
--- /dev/null
+++ b/datasets/PEM-Tropics-B_AircraftRemoteSensing_P3B_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_Lightning_Data_1.json b/datasets/PEM-Tropics-B_Lightning_Data_1.json
new file mode 100644
index 0000000000..a5f2d71b85
--- /dev/null
+++ b/datasets/PEM-Tropics-B_Lightning_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_Merge_Data_1.json b/datasets/PEM-Tropics-B_Merge_Data_1.json
new file mode 100644
index 0000000000..0fee793b3d
--- /dev/null
+++ b/datasets/PEM-Tropics-B_Merge_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_MetNav_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-Tropics-B_MetNav_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..0bea54f16f
--- /dev/null
+++ b/datasets/PEM-Tropics-B_MetNav_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_MetNav_AircraftInSitu_P3B_Data_1.json b/datasets/PEM-Tropics-B_MetNav_AircraftInSitu_P3B_Data_1.json
new file mode 100644
index 0000000000..559c2b1b69
--- /dev/null
+++ b/datasets/PEM-Tropics-B_MetNav_AircraftInSitu_P3B_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_Model_Data_1.json b/datasets/PEM-Tropics-B_Model_Data_1.json
new file mode 100644
index 0000000000..a4dfeba6f6
--- /dev/null
+++ b/datasets/PEM-Tropics-B_Model_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_Satellite_Data_1.json b/datasets/PEM-Tropics-B_Satellite_Data_1.json
new file mode 100644
index 0000000000..29ef4de0b9
--- /dev/null
+++ b/datasets/PEM-Tropics-B_Satellite_Data_1.json
@@ -0,0 +1,96 @@
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new file mode 100644
index 0000000000..fe29ad2c3d
--- /dev/null
+++ b/datasets/PEM-Tropics-B_Sondes_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_TraceGas_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-Tropics-B_TraceGas_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..0950386d10
--- /dev/null
+++ b/datasets/PEM-Tropics-B_TraceGas_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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+}
\ No newline at end of file
diff --git a/datasets/PEM-Tropics-B_TraceGas_AircraftInSitu_P3B_Data_1.json b/datasets/PEM-Tropics-B_TraceGas_AircraftInSitu_P3B_Data_1.json
new file mode 100644
index 0000000000..070a84cad3
--- /dev/null
+++ b/datasets/PEM-Tropics-B_TraceGas_AircraftInSitu_P3B_Data_1.json
@@ -0,0 +1,96 @@
+{
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diff --git a/datasets/PEM-Tropics-B_Trajectory_DC8_Data_1.json b/datasets/PEM-Tropics-B_Trajectory_DC8_Data_1.json
new file mode 100644
index 0000000000..4d51b70586
--- /dev/null
+++ b/datasets/PEM-Tropics-B_Trajectory_DC8_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-Tropics-B_Trajectory_P3B_Data_1.json b/datasets/PEM-Tropics-B_Trajectory_P3B_Data_1.json
new file mode 100644
index 0000000000..118bb5e430
--- /dev/null
+++ b/datasets/PEM-Tropics-B_Trajectory_P3B_Data_1.json
@@ -0,0 +1,96 @@
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+}
\ No newline at end of file
diff --git a/datasets/PEM-Tropics-B_jValue_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-Tropics-B_jValue_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..80d68eb228
--- /dev/null
+++ b/datasets/PEM-Tropics-B_jValue_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
+{
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\ No newline at end of file
diff --git a/datasets/PEM-Tropics-B_jValue_AircraftInSitu_P3B_Data_1.json b/datasets/PEM-Tropics-B_jValue_AircraftInSitu_P3B_Data_1.json
new file mode 100644
index 0000000000..efae5590c3
--- /dev/null
+++ b/datasets/PEM-Tropics-B_jValue_AircraftInSitu_P3B_Data_1.json
@@ -0,0 +1,96 @@
+{
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\ No newline at end of file
diff --git a/datasets/PEM-West-A_Aerosol_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-West-A_Aerosol_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..8c4fc651b6
--- /dev/null
+++ b/datasets/PEM-West-A_Aerosol_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
+{
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+}
\ No newline at end of file
diff --git a/datasets/PEM-West-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json b/datasets/PEM-West-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json
new file mode 100644
index 0000000000..14be5e8625
--- /dev/null
+++ b/datasets/PEM-West-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json
@@ -0,0 +1,96 @@
+{
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\ No newline at end of file
diff --git a/datasets/PEM-West-A_Ground_Data_1.json b/datasets/PEM-West-A_Ground_Data_1.json
new file mode 100644
index 0000000000..fb0a6991d6
--- /dev/null
+++ b/datasets/PEM-West-A_Ground_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-West-A_Merge_Data_1.json b/datasets/PEM-West-A_Merge_Data_1.json
new file mode 100644
index 0000000000..222d7a1a17
--- /dev/null
+++ b/datasets/PEM-West-A_Merge_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-West-A_MetNav_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-West-A_MetNav_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..8c38ea2fb6
--- /dev/null
+++ b/datasets/PEM-West-A_MetNav_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-West-A_Model_Data_1.json b/datasets/PEM-West-A_Model_Data_1.json
new file mode 100644
index 0000000000..0323b36d03
--- /dev/null
+++ b/datasets/PEM-West-A_Model_Data_1.json
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diff --git a/datasets/PEM-West-A_TraceGas_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-West-A_TraceGas_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..2b4abbcd8c
--- /dev/null
+++ b/datasets/PEM-West-A_TraceGas_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-West-A_Trajectory_Data_1.json b/datasets/PEM-West-A_Trajectory_Data_1.json
new file mode 100644
index 0000000000..52e068add4
--- /dev/null
+++ b/datasets/PEM-West-A_Trajectory_Data_1.json
@@ -0,0 +1,96 @@
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+}
\ No newline at end of file
diff --git a/datasets/PEM-West-B_Aerosol_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-West-B_Aerosol_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..38d62419fe
--- /dev/null
+++ b/datasets/PEM-West-B_Aerosol_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
+{
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+}
\ No newline at end of file
diff --git a/datasets/PEM-West-B_AircraftRemoteSensing_DC8_DIAL_Data_1.json b/datasets/PEM-West-B_AircraftRemoteSensing_DC8_DIAL_Data_1.json
new file mode 100644
index 0000000000..5303222d06
--- /dev/null
+++ b/datasets/PEM-West-B_AircraftRemoteSensing_DC8_DIAL_Data_1.json
@@ -0,0 +1,96 @@
+{
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+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "PEM West B DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+    "extent": {
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+}
\ No newline at end of file
diff --git a/datasets/PEM-West-B_Ground_Data_1.json b/datasets/PEM-West-B_Ground_Data_1.json
new file mode 100644
index 0000000000..2c9499b2f3
--- /dev/null
+++ b/datasets/PEM-West-B_Ground_Data_1.json
@@ -0,0 +1,96 @@
+{
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\ No newline at end of file
diff --git a/datasets/PEM-West-B_Lightning_Data_1.json b/datasets/PEM-West-B_Lightning_Data_1.json
new file mode 100644
index 0000000000..675f6ce2f5
--- /dev/null
+++ b/datasets/PEM-West-B_Lightning_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-West-B_Merge_Data_1.json b/datasets/PEM-West-B_Merge_Data_1.json
new file mode 100644
index 0000000000..90e72b2155
--- /dev/null
+++ b/datasets/PEM-West-B_Merge_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-West-B_MetNav_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-West-B_MetNav_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..939eb121f9
--- /dev/null
+++ b/datasets/PEM-West-B_MetNav_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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diff --git a/datasets/PEM-West-B_Model_Data_1.json b/datasets/PEM-West-B_Model_Data_1.json
new file mode 100644
index 0000000000..9c901ffab7
--- /dev/null
+++ b/datasets/PEM-West-B_Model_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-West-B_Satellite_Data_1.json b/datasets/PEM-West-B_Satellite_Data_1.json
new file mode 100644
index 0000000000..9d97799fef
--- /dev/null
+++ b/datasets/PEM-West-B_Satellite_Data_1.json
@@ -0,0 +1,96 @@
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\ No newline at end of file
diff --git a/datasets/PEM-West-B_TraceGas_AircraftInSitu_DC8_Data_1.json b/datasets/PEM-West-B_TraceGas_AircraftInSitu_DC8_Data_1.json
new file mode 100644
index 0000000000..eb09191bd0
--- /dev/null
+++ b/datasets/PEM-West-B_TraceGas_AircraftInSitu_DC8_Data_1.json
@@ -0,0 +1,96 @@
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+    "description": "PEM-West-B_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, laser induced fluorescence, grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.\r\n\r\nDuring 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow. \r\n\r\nTo accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).\r\n",
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+            "roles": [
+                "host"
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+}
\ No newline at end of file
diff --git a/datasets/PEM-West-B_Trajectory_Data_1.json b/datasets/PEM-West-B_Trajectory_Data_1.json
new file mode 100644
index 0000000000..66b31db970
--- /dev/null
+++ b/datasets/PEM-West-B_Trajectory_Data_1.json
@@ -0,0 +1,96 @@
+{
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+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_Trajectory_Data_1/items",
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+            "name": "LARC_CLOUD",
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+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
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+                    -9,
+                    180,
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+}
\ No newline at end of file
diff --git a/datasets/PREFIRE_SAT1_0-BUS-TLM_R01.json b/datasets/PREFIRE_SAT1_0-BUS-TLM_R01.json
new file mode 100644
index 0000000000..b08123b0cf
--- /dev/null
+++ b/datasets/PREFIRE_SAT1_0-BUS-TLM_R01.json
@@ -0,0 +1,152 @@
+{
+    "type": "Collection",
+    "id": "PREFIRE_SAT1_0-BUS-TLM_R01",
+    "stac_version": "1.0.0",
+    "description": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Telemetry (PREFIRE_SAT1_0-BUS-TLM) contains positioning and pointing information for one of two PREFIRE polar orbiting CubeSats. Both CubeSats carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 \u00b5m. Most polar emissions are in the FIR but have not been measured on a large scale.  PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions.  This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.\r\n\r\nThis collection contains the time, beta angle, orbit position and velocity, and quaternion of PREFIRE Satellite 1 (PREFIRE-SAT1). These telemeters, in combination with a Digital Elevation Map, are used to geolocate PREFIRE data on the Earth\u2019s surface.\r\n\r\nData retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions.  This data is retrieved at a frequency of 1Hz and is available in CSV format.\r\n\r\nPositioning and pointing information for the sister satellite, PREFIRE-SAT2, can be found in the PREFIRE_SAT2_0-BUS-TLM collection.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933532-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933532-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
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+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933532-LARC_CLOUD.echo10",
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+            "title": "ECHO10 metadata for collection"
+        },
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+            "title": "CMR JSON metadata for collection"
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+            "title": "CMR UMM_JSON metadata for collection"
+        },
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+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT1_0-BUS-TLM_R01/items",
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+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 telemetry R01",
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+        "spatial": {
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+                    180,
+                    84
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2024-06-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/prefire.png",
+            "type": "image/jpeg",
+            "title": "Download prefire.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/prefire.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C3255933532-LARC_CLOUD",
+            "title": "Direct Download",
+            "description": "Earthdata Search for PREFIRE_SAT1_0-BUS-TLM_R01 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata_0": {
+            "href": "https://asdc.larc.nasa.gov/project/PREFIRE",
+            "title": "Provider Metadata [0]",
+            "description": "PREFIRE Data Set Landing Page ASDC",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "provider_metadata_1": {
+            "href": "https://doi.org/10.5067/PREFIRE-SAT1/PREFIRE/BUS-TLM_L0.R01",
+            "title": "Provider Metadata [1]",
+            "description": "DOI data set landing page for PREFIRE_SAT1_0-BUS-TLM_R01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/PREFIRE_SAT1_0-PAYLOAD-TLM_R01.json b/datasets/PREFIRE_SAT1_0-PAYLOAD-TLM_R01.json
new file mode 100644
index 0000000000..f3001e9ce7
--- /dev/null
+++ b/datasets/PREFIRE_SAT1_0-PAYLOAD-TLM_R01.json
@@ -0,0 +1,152 @@
+{
+    "type": "Collection",
+    "id": "PREFIRE_SAT1_0-PAYLOAD-TLM_R01",
+    "stac_version": "1.0.0",
+    "description": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Curated Payload (PREFIRE_SAT1_0-PAYLOAD-TLM)  contains the curated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 \u00b5m. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.\r\n\r\nThis collection contains the raw, curated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 1 (PREFIRE-SAT1). Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in binary format.\r\n\r\nThe PREFIRE_SAT2_0-PAYLOAD-TLM collection contains raw, curated digital number counts for the sister instrument aboard PREFIRE-SAT2.\r\n",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933550-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933550-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933550-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933550-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933550-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT1_0-PAYLOAD-TLM_R01",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT1_0-PAYLOAD-TLM_R01/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
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+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Curated Payload R01",
+    "extent": {
+        "spatial": {
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+                    -180,
+                    -84,
+                    180,
+                    84
+                ]
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+                [
+                    "2024-06-01T00:00:00Z",
+                    null
+                ]
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+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/prefire.png",
+            "type": "image/jpeg",
+            "title": "Download prefire.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/prefire.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C3255933550-LARC_CLOUD",
+            "title": "Direct Download",
+            "description": "Earthdata Search for PREFIRE_SAT1_0-PAYLOAD-TLM_R01 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata_0": {
+            "href": "https://asdc.larc.nasa.gov/project/PREFIRE",
+            "title": "Provider Metadata [0]",
+            "description": "PREFIRE Data Set Landing Page ASDC",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "provider_metadata_1": {
+            "href": "https://doi.org/10.5067/PREFIRE-SAT1/PREFIRE/PAYLOAD-TLM_L0.R01",
+            "title": "Provider Metadata [1]",
+            "description": "DOI data set landing page for PREFIRE_SAT1_0-PAYLOAD-TLM_R01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/PREFIRE_SAT1_0-PAYLOAD_R01.json b/datasets/PREFIRE_SAT1_0-PAYLOAD_R01.json
new file mode 100644
index 0000000000..c6fe76b2c1
--- /dev/null
+++ b/datasets/PREFIRE_SAT1_0-PAYLOAD_R01.json
@@ -0,0 +1,152 @@
+{
+    "type": "Collection",
+    "id": "PREFIRE_SAT1_0-PAYLOAD_R01",
+    "stac_version": "1.0.0",
+    "description": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Payload (PREFIRE_SAT1_0-PAYLOAD) contains the uncurated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 \u00b5m. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.\r\n\r\nThis collection contains the raw and uncurated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 1 (PREFIRE-SAT1). Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in binary format.\r\n\r\nRaw, uncurated digital number counts for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_0-PAYLOAD collection.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933578-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933578-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933578-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933578-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933578-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT1_0-PAYLOAD_R01",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT1_0-PAYLOAD_R01/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Payload R01",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -84,
+                    180,
+                    84
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2024-06-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/prefire.png",
+            "type": "image/jpeg",
+            "title": "Download prefire.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/prefire.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C3255933578-LARC_CLOUD",
+            "title": "Direct Download",
+            "description": "Earthdata Search for PREFIRE_SAT1_0-PAYLOAD_R01 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata_0": {
+            "href": "https://asdc.larc.nasa.gov/project/PREFIRE",
+            "title": "Provider Metadata [0]",
+            "description": "PREFIRE Data Set Landing Page ASDC",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "provider_metadata_1": {
+            "href": "https://doi.org/10.5067/PREFIRE-SAT1/PREFIRE/PAYLOAD_L0.R01",
+            "title": "Provider Metadata [1]",
+            "description": "DOI data set landing page for PREFIRE_SAT1_0-PAYLOAD_R01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/PREFIRE_SAT2_0-BUS-TLM_R01.json b/datasets/PREFIRE_SAT2_0-BUS-TLM_R01.json
index 5c4c639072..5f2540e1cd 100644
--- a/datasets/PREFIRE_SAT2_0-BUS-TLM_R01.json
+++ b/datasets/PREFIRE_SAT2_0-BUS-TLM_R01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/PREFIRE_SAT2_0-BUS-TLM_R01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT2_0-BUS-TLM_R01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/PREFIRE_SAT2_0-BUS-TLM_R01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT2_0-BUS-TLM_R01/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/PREFIRE_SAT2_0-PAYLOAD-TLM_R01.json b/datasets/PREFIRE_SAT2_0-PAYLOAD-TLM_R01.json
index 036fe2986b..96eb181134 100644
--- a/datasets/PREFIRE_SAT2_0-PAYLOAD-TLM_R01.json
+++ b/datasets/PREFIRE_SAT2_0-PAYLOAD-TLM_R01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/PREFIRE_SAT2_0-PAYLOAD-TLM_R01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT2_0-PAYLOAD-TLM_R01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/PREFIRE_SAT2_0-PAYLOAD-TLM_R01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT2_0-PAYLOAD-TLM_R01/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/PREFIRE_SAT2_0-PAYLOAD_R01.json b/datasets/PREFIRE_SAT2_0-PAYLOAD_R01.json
index 13367da2be..c64229a329 100644
--- a/datasets/PREFIRE_SAT2_0-PAYLOAD_R01.json
+++ b/datasets/PREFIRE_SAT2_0-PAYLOAD_R01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/PREFIRE_SAT2_0-PAYLOAD_R01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT2_0-PAYLOAD_R01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/PREFIRE_SAT2_0-PAYLOAD_R01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT2_0-PAYLOAD_R01/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/Passive_Microwave_Snowoff_Data_1711_1.1.json b/datasets/Passive_Microwave_Snowoff_Data_1711_1.1.json
index 4eafd9e389..07d4fdf90c 100644
--- a/datasets/Passive_Microwave_Snowoff_Data_1711_1.1.json
+++ b/datasets/Passive_Microwave_Snowoff_Data_1711_1.1.json
@@ -42,7 +42,7 @@
         },
         {
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index eb7935197b..9dad66aa34 100644
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diff --git a/datasets/Pingo_Veg_Plots_1507_1.json b/datasets/Pingo_Veg_Plots_1507_1.json
index b23a89ccf4..7d226af606 100644
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index 1ed9171e8a..9c605733fc 100644
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index fa19828d85..97a0ba347a 100644
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index 44cbd0683e..f742012b1f 100644
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index 4126ec23b9..2eabd56153 100644
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index 4a43b5a887..9c89ec5c5c 100644
--- a/datasets/Polarimetric_height_profile_1577_1.json
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index 7f724de01c..421c11d875 100644
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index 6d8c48a41a..a57aa5d4a7 100644
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index 6a51b8044f..2ef48eedfc 100644
--- a/datasets/Prudhoe_Bay_ArcSEES_Veg_Plots_1555_1.json
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index f8eeb68a22..e7105b9a24 100644
--- a/datasets/Prudhoe_Bay_Veg_Maps_1387_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/Prudhoe_Bay_Veg_Plots_1360_1.json b/datasets/Prudhoe_Bay_Veg_Plots_1360_1.json
index b90413d849..3c49bcb032 100644
--- a/datasets/Prudhoe_Bay_Veg_Plots_1360_1.json
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diff --git a/datasets/RDBTS4_2.json b/datasets/RDBTS4_2.json
index 6f5ce5c5c8..eebb2cd223 100644
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diff --git a/datasets/RDGBV4_1.json b/datasets/RDGBV4_1.json
index cf5b3a4c1d..8b9df88999 100644
--- a/datasets/RDGBV4_1.json
+++ b/datasets/RDGBV4_1.json
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index d659a97b39..d8b610d669 100644
--- a/datasets/RDSISC4_1.json
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index bc2e914bc5..df1f87ee96 100644
--- a/datasets/RDSISCO4_1.json
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index 5665430ba8..cdc6edb47d 100644
--- a/datasets/RGGRV1B_1.json
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index 26b16e4bab..0617ae0ccf 100644
--- a/datasets/RRRAG4_1.json
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index 56d501c9eb..682fc37b8d 100644
--- a/datasets/RSS18_AVIRIS_L1B_449_1.json
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diff --git a/datasets/Radial_Growth_PRI_1781_1.json b/datasets/Radial_Growth_PRI_1781_1.json
index 850c52b812..9995b72719 100644
--- a/datasets/Radial_Growth_PRI_1781_1.json
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index a5ef45d7c2..240aef4341 100644
--- a/datasets/Rain-on-Snow_Data_1611_1.json
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index 916b34d3f7..00ddf92337 100644
--- a/datasets/Reflectance_Spectra_Alaska_1685_1.json
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index 3272af1373..4aa5f5a560 100644
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index 913304656c..9ac59aff2a 100644
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index 2432e64498..e9378b94fd 100644
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index 9ac028c31b..6e923c0f95 100644
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index 29f1fcbe38..0ac0bc499e 100644
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diff --git a/datasets/SMAP_L1_L3_ANC_SATELLITE_1.json b/datasets/SMAP_L1_L3_ANC_SATELLITE_1.json
index 691ad5820f..8f6f427874 100644
--- a/datasets/SMAP_L1_L3_ANC_SATELLITE_1.json
+++ b/datasets/SMAP_L1_L3_ANC_SATELLITE_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L1_L3_ANC_STATIC_1.json b/datasets/SMAP_L1_L3_ANC_STATIC_1.json
index 777c3cc1eb..14ae0d9131 100644
--- a/datasets/SMAP_L1_L3_ANC_STATIC_1.json
+++ b/datasets/SMAP_L1_L3_ANC_STATIC_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_BPLUT_1.json b/datasets/SMAP_L4_C_ANC_BPLUT_1.json
index 94cc49d6f4..c5f0ddd0f6 100644
--- a/datasets/SMAP_L4_C_ANC_BPLUT_1.json
+++ b/datasets/SMAP_L4_C_ANC_BPLUT_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_FPAR_CLIM_1.json b/datasets/SMAP_L4_C_ANC_FPAR_CLIM_1.json
index 0418e708a7..677d910cf9 100644
--- a/datasets/SMAP_L4_C_ANC_FPAR_CLIM_1.json
+++ b/datasets/SMAP_L4_C_ANC_FPAR_CLIM_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_MDL_LOG_1.json b/datasets/SMAP_L4_C_ANC_MDL_LOG_1.json
index ccdf5a6431..3ab0d5209b 100644
--- a/datasets/SMAP_L4_C_ANC_MDL_LOG_1.json
+++ b/datasets/SMAP_L4_C_ANC_MDL_LOG_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_MDL_RIP_1.json b/datasets/SMAP_L4_C_ANC_MDL_RIP_1.json
index a534f82fcc..5f31bcd359 100644
--- a/datasets/SMAP_L4_C_ANC_MDL_RIP_1.json
+++ b/datasets/SMAP_L4_C_ANC_MDL_RIP_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_MET_1.json b/datasets/SMAP_L4_C_ANC_MET_1.json
index 39a84bcbfd..63e01ba307 100644
--- a/datasets/SMAP_L4_C_ANC_MET_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_MET_LOG_1.json b/datasets/SMAP_L4_C_ANC_MET_LOG_1.json
index 5e3198f047..61708e7746 100644
--- a/datasets/SMAP_L4_C_ANC_MET_LOG_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_MET_RIP_1.json b/datasets/SMAP_L4_C_ANC_MET_RIP_1.json
index 0b78f81a07..913d9afe54 100644
--- a/datasets/SMAP_L4_C_ANC_MET_RIP_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_MOD_LOG_1.json b/datasets/SMAP_L4_C_ANC_MOD_LOG_1.json
index 4d91965c24..8750a88c0e 100644
--- a/datasets/SMAP_L4_C_ANC_MOD_LOG_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_MOD_RIP_1.json b/datasets/SMAP_L4_C_ANC_MOD_RIP_1.json
index b51367c65c..6dcc2e2b3e 100644
--- a/datasets/SMAP_L4_C_ANC_MOD_RIP_1.json
+++ b/datasets/SMAP_L4_C_ANC_MOD_RIP_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_PARAM_1.json b/datasets/SMAP_L4_C_ANC_PARAM_1.json
index 74973461cb..747b6b130d 100644
--- a/datasets/SMAP_L4_C_ANC_PARAM_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_C_ANC_SOC_RST_1.json b/datasets/SMAP_L4_C_ANC_SOC_RST_1.json
index 66445b1ade..58dbf2d23c 100644
--- a/datasets/SMAP_L4_C_ANC_SOC_RST_1.json
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diff --git a/datasets/SMAP_L4_SM_ANC_CAT_TILE_1.json b/datasets/SMAP_L4_SM_ANC_CAT_TILE_1.json
index f933d577a9..c0d4516ebb 100644
--- a/datasets/SMAP_L4_SM_ANC_CAT_TILE_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_SM_ANC_CLIM_1.json b/datasets/SMAP_L4_SM_ANC_CLIM_1.json
index 5cc61bfa75..e6f4977993 100644
--- a/datasets/SMAP_L4_SM_ANC_CLIM_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_SM_ANC_LOG_1.json b/datasets/SMAP_L4_SM_ANC_LOG_1.json
index e8a363101a..2f293d15e2 100644
--- a/datasets/SMAP_L4_SM_ANC_LOG_1.json
+++ b/datasets/SMAP_L4_SM_ANC_LOG_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_SM_ANC_PARAM_1.json b/datasets/SMAP_L4_SM_ANC_PARAM_1.json
index 5489432285..bbc124f6a0 100644
--- a/datasets/SMAP_L4_SM_ANC_PARAM_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_SM_ANC_RIP_1.json b/datasets/SMAP_L4_SM_ANC_RIP_1.json
index 24221b4d96..cb33eb1c64 100644
--- a/datasets/SMAP_L4_SM_ANC_RIP_1.json
+++ b/datasets/SMAP_L4_SM_ANC_RIP_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SMAP_L4_SM_ANC_RST_1.json b/datasets/SMAP_L4_SM_ANC_RST_1.json
index 4d175331bf..2e866b3f14 100644
--- a/datasets/SMAP_L4_SM_ANC_RST_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX17_CAR_1.json b/datasets/SNEX17_CAR_1.json
index d0d60313f9..1665780631 100644
--- a/datasets/SNEX17_CAR_1.json
+++ b/datasets/SNEX17_CAR_1.json
@@ -42,7 +42,7 @@
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index 44b99d3c13..e86c9352d9 100644
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index 605027fd0f..40b4c61a7b 100644
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index f1fd1aa270..71163351fb 100644
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diff --git a/datasets/SNEX17_QWIP_ST_1.json b/datasets/SNEX17_QWIP_ST_1.json
index 525e0b3898..396dd28219 100644
--- a/datasets/SNEX17_QWIP_ST_1.json
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@@ -42,7 +42,7 @@
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index add330f628..803376399d 100644
--- a/datasets/SNEX17_SBR_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX17_SD_1.json b/datasets/SNEX17_SD_1.json
index dc936fb682..0b90a7bfa2 100644
--- a/datasets/SNEX17_SD_1.json
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@@ -42,7 +42,7 @@
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index 98dba3ea37..b744fff7e0 100644
--- a/datasets/SNEX17_SD_Perm_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX17_SMP2_1.json b/datasets/SNEX17_SMP2_1.json
index 59ac96f9c6..705fe92e2f 100644
--- a/datasets/SNEX17_SMP2_1.json
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diff --git a/datasets/SNEX17_SMP_1.json b/datasets/SNEX17_SMP_1.json
index 4e3db2b134..797f56056f 100644
--- a/datasets/SNEX17_SMP_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX17_SSA_1.json b/datasets/SNEX17_SSA_1.json
index 03447be0e3..d00f6f0bce 100644
--- a/datasets/SNEX17_SSA_1.json
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@@ -42,7 +42,7 @@
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index 0aa3729291..57c2420558 100644
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index 4f7723c481..3b09adbd6f 100644
--- a/datasets/SNEX17_SnowPits_1.json
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index 986d1cf5a0..58669bfb3d 100644
--- a/datasets/SNEX17_SnowSAR_1.json
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index 5fc2029a89..add3b128a4 100644
--- a/datasets/SNEX17_SnowSAR_Raw_1.json
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diff --git a/datasets/SNEX17_TLI_1.json b/datasets/SNEX17_TLI_1.json
index 5b6e57ceff..c980293e40 100644
--- a/datasets/SNEX17_TLI_1.json
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diff --git a/datasets/SNEX17_TLS_PC_BSU_1.json b/datasets/SNEX17_TLS_PC_BSU_1.json
index c1421f0706..1910999417 100644
--- a/datasets/SNEX17_TLS_PC_BSU_1.json
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@@ -42,7 +42,7 @@
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index 5a4f5eec87..14b3b7bf49 100644
--- a/datasets/SNEX17_TLS_PC_CRREL_1.json
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index e845c3f983..faf836347c 100644
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index 64e12ae394..f742a205ae 100644
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index fa07ab97b6..5a034598b0 100644
--- a/datasets/SNEX20_A19_SWE_1.json
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index 68baf0c144..91aefbfae8 100644
--- a/datasets/SNEX20_BR_BSU_SMP_1.json
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index c627a6f047..e3c22c357e 100644
--- a/datasets/SNEX20_BSU_CMP_Raw_1.json
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index 49ed3808d5..ac7b37548b 100644
--- a/datasets/SNEX20_BSU_CMP_SWE_1.json
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diff --git a/datasets/SNEX20_BSU_CMP_TT_1.json b/datasets/SNEX20_BSU_CMP_TT_1.json
index 8881c96704..a13691ff73 100644
--- a/datasets/SNEX20_BSU_CMP_TT_1.json
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index 6ca2c33ce0..3f0d1256ac 100644
--- a/datasets/SNEX20_BSU_GPR_1.json
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index 9a6d666bd6..11425c52ac 100644
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index f6794a0099..c568080309 100644
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index 9998370840..e317437934 100644
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index a148ebde3f..0c151becb1 100644
--- a/datasets/SNEX20_CRSM_1.json
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@@ -42,7 +42,7 @@
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index 61dff21e9c..5bd0033dc3 100644
--- a/datasets/SNEX20_CSSM_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX20_DSM_1.json b/datasets/SNEX20_DSM_1.json
index 692aa72eef..00010a9e6f 100644
--- a/datasets/SNEX20_DSM_1.json
+++ b/datasets/SNEX20_DSM_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX20_GIS_REF_1.json b/datasets/SNEX20_GIS_REF_1.json
index 9764de4747..fa077a9ec1 100644
--- a/datasets/SNEX20_GIS_REF_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX20_GM_CSU_GPR_1.json b/datasets/SNEX20_GM_CSU_GPR_1.json
index e0406e35cc..cd42b34506 100644
--- a/datasets/SNEX20_GM_CSU_GPR_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX20_GM_CSU_GPR_RAW_1.json b/datasets/SNEX20_GM_CSU_GPR_RAW_1.json
index e1eefbb627..2525026d17 100644
--- a/datasets/SNEX20_GM_CSU_GPR_RAW_1.json
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index 61ddd6dca7..ee3555b754 100644
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index 3832a80cb4..717e8c5640 100644
--- a/datasets/SNEX20_GM_Lidar_1.json
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index da9dc3d798..14ac66c08f 100644
--- a/datasets/SNEX20_GM_SP_1.json
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index 8c9af0ff8f..7b4647e83f 100644
--- a/datasets/SNEX20_GM_SWE_SD_1.json
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diff --git a/datasets/SNEX20_J_UNM_GPR_1.json b/datasets/SNEX20_J_UNM_GPR_1.json
index ceab957022..5220f8e40c 100644
--- a/datasets/SNEX20_J_UNM_GPR_1.json
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index 37820a9164..a17485472b 100644
--- a/datasets/SNEX20_QSI_DEM_1.json
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index 75b0eff60d..7912469146 100644
--- a/datasets/SNEX20_QSI_DEM_3m_1.json
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index 8db7abe70a..75d0573e66 100644
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index 4469f2429a..43572c6d90 100644
--- a/datasets/SNEX20_QSI_SD_3m_1.json
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index aa004b1943..a7a3e1fd5d 100644
--- a/datasets/SNEX20_QSI_VH_1.json
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index b89ebaa2c6..457c98d0a9 100644
--- a/datasets/SNEX20_QSI_VH_3m_1.json
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index 5a1480bb2f..56558c96a6 100644
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index 28d2686153..87e25c810e 100644
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index 41691fe352..c2f7c3d46d 100644
--- a/datasets/SNEX20_SD_TLI_1.json
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index 7cfc3ea117..f9ddd9645e 100644
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diff --git a/datasets/SNEX20_SSA_1.json b/datasets/SNEX20_SSA_1.json
index 541ca50d2f..794814eaa0 100644
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diff --git a/datasets/SNEX20_SWESARR_TB_1.json b/datasets/SNEX20_SWESARR_TB_1.json
index 03d129b777..eedad35e50 100644
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index 7ab608dcc5..bf2ae8774f 100644
--- a/datasets/SNEX20_TLI_1.json
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index 81cdd095ec..d012e80f03 100644
--- a/datasets/SNEX20_TLS_PC_BSU_1.json
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index e30d272da8..1b30099e66 100644
--- a/datasets/SNEX20_TLS_PC_BSU_RAW_1.json
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diff --git a/datasets/SNEX20_TLS_PC_CRREL_1.json b/datasets/SNEX20_TLS_PC_CRREL_1.json
index 528739f291..fda93f3238 100644
--- a/datasets/SNEX20_TLS_PC_CRREL_1.json
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index 3ab190b299..46507ebc74 100644
--- a/datasets/SNEX20_TS_SP_2.json
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diff --git a/datasets/SNEX20_UNM_GPR_1.json b/datasets/SNEX20_UNM_GPR_1.json
index 34b3e99d0f..2037700d61 100644
--- a/datasets/SNEX20_UNM_GPR_1.json
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index 1ac3bd4c76..b114700a7a 100644
--- a/datasets/SNEX20_VPTS_Raw_1.json
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index a19906f9b7..22aa3b7ef7 100644
--- a/datasets/SNEX21_COCP_GPR_1.json
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index e2670429cc..c577db3d13 100644
--- a/datasets/SNEX21_COCP_GPR_Raw_1.json
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index eb2815fa15..6f360456ea 100644
--- a/datasets/SNEX21_DSM_1.json
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index 19f36fbc83..2bb653ee93 100644
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diff --git a/datasets/SNEX21_PS_MET_1.json b/datasets/SNEX21_PS_MET_1.json
index 4b92b0703c..b0c5d515ff 100644
--- a/datasets/SNEX21_PS_MET_1.json
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index d6207c8b85..e1ede3c497 100644
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index 223b1ea745..fe7608ffbc 100644
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index 902554fefe..47b349c135 100644
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index caab7849c6..3c908db38b 100644
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index c24547f4cb..0d44b6500b 100644
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index b7f1eeba0d..71c036daf9 100644
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index 6b5ce95b63..7e8684cb5a 100644
--- a/datasets/SNEX23_CSU_GPR_Raw_1.json
+++ b/datasets/SNEX23_CSU_GPR_Raw_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX23_Lidar_1.json b/datasets/SNEX23_Lidar_1.json
index 91079d3799..b2f4139f57 100644
--- a/datasets/SNEX23_Lidar_1.json
+++ b/datasets/SNEX23_Lidar_1.json
@@ -42,7 +42,7 @@
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index 376e351298..ac0c88d92f 100644
--- a/datasets/SNEX23_Lidar_Raw_1.json
+++ b/datasets/SNEX23_Lidar_Raw_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX23_MAR22_SD_1.json b/datasets/SNEX23_MAR22_SD_1.json
index e06bb1e8c5..0c5753a7f7 100644
--- a/datasets/SNEX23_MAR22_SD_1.json
+++ b/datasets/SNEX23_MAR22_SD_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX23_MAR23_SD_1.json b/datasets/SNEX23_MAR23_SD_1.json
index 384be1f5f5..ec1ba7208a 100644
--- a/datasets/SNEX23_MAR23_SD_1.json
+++ b/datasets/SNEX23_MAR23_SD_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX23_SSA_1.json b/datasets/SNEX23_SSA_1.json
index 7145c5bff8..79255e299c 100644
--- a/datasets/SNEX23_SSA_1.json
+++ b/datasets/SNEX23_SSA_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SNEX23_SSA_SO_1.json b/datasets/SNEX23_SSA_SO_1.json
index 84212489b3..69706b175e 100644
--- a/datasets/SNEX23_SSA_SO_1.json
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@@ -42,7 +42,7 @@
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index 90a49db369..b304e7ddcc 100644
--- a/datasets/SNEX23_SWE_1.json
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index 1b5aef341f..b17ebba4fc 100644
--- a/datasets/SNEX23_UW_GPR_1.json
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index c416d2d4c6..3142b6245a 100644
--- a/datasets/SNEX_HRSI_SD_DEM_CO_1.json
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diff --git a/datasets/SNEX_Met_1.json b/datasets/SNEX_Met_1.json
index 46fcbd1b9a..2e1c224f8d 100644
--- a/datasets/SNEX_Met_1.json
+++ b/datasets/SNEX_Met_1.json
@@ -42,7 +42,7 @@
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index 4f89ab29ac..48aa80bc04 100644
--- a/datasets/SNEX_Met_Raw_1.json
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diff --git a/datasets/SNF_ASP_CVR_140_1.json b/datasets/SNF_ASP_CVR_140_1.json
index f1c1f365ca..2daeb18d60 100644
--- a/datasets/SNF_ASP_CVR_140_1.json
+++ b/datasets/SNF_ASP_CVR_140_1.json
@@ -42,7 +42,7 @@
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index 377c5c2911..4a4de6e2a0 100644
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index 656417cbf8..e44ff4f5ae 100644
--- a/datasets/SNF_CAN_COMP_143_1.json
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index cf824d0a0a..a2cbdc03f7 100644
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index b8f3ec89b1..ea49c16706 100644
--- a/datasets/SNF_CJ_VEG_189_1.json
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index e6db5ca914..2a338b9e20 100644
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index 61479b01ec..6bbf266f96 100644
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index 4effd2d5bb..a1f79abfae 100644
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index 3de1ed1ad3..f3ff01cb7e 100644
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index 4bc3620026..124deba289 100644
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diff --git a/datasets/SNF_SAT_INV_186_1.json b/datasets/SNF_SAT_INV_186_1.json
index bad573ff87..f882e65f9a 100644
--- a/datasets/SNF_SAT_INV_186_1.json
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@@ -42,7 +42,7 @@
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index cca7fcc95a..573c60d8b9 100644
--- a/datasets/SNF_SITE_86_188_1.json
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diff --git a/datasets/SNF_TAB3_3T_182_1.json b/datasets/SNF_TAB3_3T_182_1.json
index 509c94f8b5..73d8830000 100644
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diff --git a/datasets/SNF_UND_CVR_181_1.json b/datasets/SNF_UND_CVR_181_1.json
index 588c5f490d..6fbf12a40b 100644
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index 87e86e8c50..fff743bb9e 100644
--- a/datasets/SOC_3M_Maps_NE_TidalWetlands_1905_1.json
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diff --git a/datasets/SOC_Stocks_Great_Plains_1603_1.json b/datasets/SOC_Stocks_Great_Plains_1603_1.json
index 7c6ee01373..1aa8d0753b 100644
--- a/datasets/SOC_Stocks_Great_Plains_1603_1.json
+++ b/datasets/SOC_Stocks_Great_Plains_1603_1.json
@@ -42,7 +42,7 @@
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index fd5530accb..22d3d26421 100644
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index 179fee91da..cd75dc86cd 100644
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index 93b5ab8fed..60d11c6a7b 100644
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index 37dd90778e..2f8e9ed790 100644
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index 4bcecc6828..fb01aa8ba7 100644
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index 118cd0ca98..bf479056a0 100644
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index 6471c5ee11..ed8408e35f 100644
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index f43784ecbf..722b545fac 100644
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diff --git a/datasets/SPL1CTB_E_004.json b/datasets/SPL1CTB_E_004.json
index fa7212fd63..16a3017ae1 100644
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diff --git a/datasets/SPL2SMAP_003.json b/datasets/SPL2SMAP_003.json
index e53791bd85..6ba524a121 100644
--- a/datasets/SPL2SMAP_003.json
+++ b/datasets/SPL2SMAP_003.json
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index c31d7a6438..dcb39a535e 100644
--- a/datasets/SPL2SMAP_S_003.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SPL2SMA_003.json b/datasets/SPL2SMA_003.json
index 76b15bfa8c..4922325842 100644
--- a/datasets/SPL2SMA_003.json
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diff --git a/datasets/SPL2SMP_008.json b/datasets/SPL2SMP_008.json
index 6d68b9cdac..c54bfb72b1 100644
--- a/datasets/SPL2SMP_008.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SPL2SMP_009.json b/datasets/SPL2SMP_009.json
index 04aebaf498..28531352e3 100644
--- a/datasets/SPL2SMP_009.json
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diff --git a/datasets/SPL2SMP_E_005.json b/datasets/SPL2SMP_E_005.json
index 2c4f8cbdd8..69f2411049 100644
--- a/datasets/SPL2SMP_E_005.json
+++ b/datasets/SPL2SMP_E_005.json
@@ -42,7 +42,7 @@
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index edf72d9b08..1baf27afba 100644
--- a/datasets/SPL2SMP_E_006.json
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diff --git a/datasets/SPL2SMP_NRT_107.json b/datasets/SPL2SMP_NRT_107.json
index 49f72cc18f..55f5855bcf 100644
--- a/datasets/SPL2SMP_NRT_107.json
+++ b/datasets/SPL2SMP_NRT_107.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SPL3FTA_003.json b/datasets/SPL3FTA_003.json
index 81c8a3d2cb..f5cc1aa21f 100644
--- a/datasets/SPL3FTA_003.json
+++ b/datasets/SPL3FTA_003.json
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index ed5779e69d..ae3e7788ba 100644
--- a/datasets/SPL3FTP_003.json
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diff --git a/datasets/SPL3FTP_004.json b/datasets/SPL3FTP_004.json
index 4d92a4d048..85c4a2a452 100644
--- a/datasets/SPL3FTP_004.json
+++ b/datasets/SPL3FTP_004.json
@@ -42,7 +42,7 @@
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index 1980985fdb..9b6f76a8ce 100644
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index 24c742b197..9995f8487f 100644
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diff --git a/datasets/SPL3SMAP_003.json b/datasets/SPL3SMAP_003.json
index b784e60d33..d25a0f92a7 100644
--- a/datasets/SPL3SMAP_003.json
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diff --git a/datasets/SPL3SMA_003.json b/datasets/SPL3SMA_003.json
index 536cda8c56..1a814213e0 100644
--- a/datasets/SPL3SMA_003.json
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diff --git a/datasets/SPL3SMP_008.json b/datasets/SPL3SMP_008.json
index 6210b21bf3..e2dc80e7d3 100644
--- a/datasets/SPL3SMP_008.json
+++ b/datasets/SPL3SMP_008.json
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index 702e4f2914..9f3fea0e4e 100644
--- a/datasets/SPL3SMP_009.json
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diff --git a/datasets/SPL3SMP_E_005.json b/datasets/SPL3SMP_E_005.json
index 2d37a1bfa4..8f666d0766 100644
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index 8be80dd84c..268c994185 100644
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diff --git a/datasets/SPL4CMDL_007.json b/datasets/SPL4CMDL_007.json
index 40d383f83a..78d25c264f 100644
--- a/datasets/SPL4CMDL_007.json
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@@ -42,7 +42,7 @@
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index eb82027725..af24201119 100644
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index 492a762e39..179862b355 100644
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index d0eeb73fce..4847c46831 100644
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index e1f4aa5eaa..a0a6906470 100644
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index f8b095dc4f..a81cecc91c 100644
--- a/datasets/STAQS_Chiwaukee-Prairie_Data_1.json
+++ b/datasets/STAQS_Chiwaukee-Prairie_Data_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/STAQS_Drone_Data_1.json b/datasets/STAQS_Drone_Data_1.json
index d26f6764dd..1dd531a4ad 100644
--- a/datasets/STAQS_Drone_Data_1.json
+++ b/datasets/STAQS_Drone_Data_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/STAQS_Ground_Data_1.json b/datasets/STAQS_Ground_Data_1.json
index bcb30b2a29..38017650b9 100644
--- a/datasets/STAQS_Ground_Data_1.json
+++ b/datasets/STAQS_Ground_Data_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/STAQS_INSTEP_Data_1.json b/datasets/STAQS_INSTEP_Data_1.json
index e5e5a5bddd..d8306e58e8 100644
--- a/datasets/STAQS_INSTEP_Data_1.json
+++ b/datasets/STAQS_INSTEP_Data_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/STAQS_SeaRey_Data_1.json b/datasets/STAQS_SeaRey_Data_1.json
index e907b0f1cd..9b0e4df4e9 100644
--- a/datasets/STAQS_SeaRey_Data_1.json
+++ b/datasets/STAQS_SeaRey_Data_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/STAQS_Sondes_Data_1.json b/datasets/STAQS_Sondes_Data_1.json
index db577d713d..b722ab42d9 100644
--- a/datasets/STAQS_Sondes_Data_1.json
+++ b/datasets/STAQS_Sondes_Data_1.json
@@ -42,7 +42,7 @@
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-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/STAQS_Sondes_Data_1",
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diff --git a/datasets/SV08LC_1.json b/datasets/SV08LC_1.json
index 30dd3653ec..30895a29d9 100644
--- a/datasets/SV08LC_1.json
+++ b/datasets/SV08LC_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SV08PLBK_1.json b/datasets/SV08PLBK_1.json
index 919fa42ffd..846e54f31b 100644
--- a/datasets/SV08PLBK_1.json
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index aaa11301ba..a1cb6584ab 100644
--- a/datasets/SV08PLTB_1.json
+++ b/datasets/SV08PLTB_1.json
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index cf0cbee226..6e1043e659 100644
--- a/datasets/SV08SM_1.json
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index 7e5645c69f..2fbe82330b 100644
--- a/datasets/SV08SR_1.json
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index abc8c04435..09ee1f0032 100644
--- a/datasets/SV08ST_1.json
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index 6bf61fa815..af494bc331 100644
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diff --git a/datasets/SV08V_1.json b/datasets/SV08V_1.json
index cf6c24111d..c52d8c4823 100644
--- a/datasets/SV08V_1.json
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index 75d600df30..b9c0653c11 100644
--- a/datasets/SV12CSMA_1.json
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diff --git a/datasets/SV12CST_1.json b/datasets/SV12CST_1.json
index 8342b2b477..583a5c3ba2 100644
--- a/datasets/SV12CST_1.json
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index 785d2ee734..9c0e344b5a 100644
--- a/datasets/SV12LC_1.json
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diff --git a/datasets/SV12PLBK_1.json b/datasets/SV12PLBK_1.json
index cc1b2f7a0c..841f6e3865 100644
--- a/datasets/SV12PLBK_1.json
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diff --git a/datasets/SV12PLSM_1.json b/datasets/SV12PLSM_1.json
index 783ebe43e8..5ef179d589 100644
--- a/datasets/SV12PLSM_1.json
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diff --git a/datasets/SV12PLTB_1.json b/datasets/SV12PLTB_1.json
index 6bd1366066..b13ea42265 100644
--- a/datasets/SV12PLTB_1.json
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diff --git a/datasets/SV12PSMA_1.json b/datasets/SV12PSMA_1.json
index a56dd119e3..bcf369d9e6 100644
--- a/datasets/SV12PSMA_1.json
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diff --git a/datasets/SV12PSMF_1.json b/datasets/SV12PSMF_1.json
index 05db429029..595567b6c5 100644
--- a/datasets/SV12PSMF_1.json
+++ b/datasets/SV12PSMF_1.json
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diff --git a/datasets/SV12SRA_1.json b/datasets/SV12SRA_1.json
index 9e9cc16fb0..f2d44a23f0 100644
--- a/datasets/SV12SRA_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SV12SRF_1.json b/datasets/SV12SRF_1.json
index 687656a112..bc9f0791c7 100644
--- a/datasets/SV12SRF_1.json
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diff --git a/datasets/SV12STM_1.json b/datasets/SV12STM_1.json
index c362c3f688..e2b2e3f124 100644
--- a/datasets/SV12STM_1.json
+++ b/datasets/SV12STM_1.json
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diff --git a/datasets/SV12UBK_1.json b/datasets/SV12UBK_1.json
index 2846c9f981..c30d47c651 100644
--- a/datasets/SV12UBK_1.json
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diff --git a/datasets/SV12VA_1.json b/datasets/SV12VA_1.json
index 5e69d839ad..7ae23a2af7 100644
--- a/datasets/SV12VA_1.json
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diff --git a/datasets/SV12VF_1.json b/datasets/SV12VF_1.json
index e1d55d3dd0..fb0ae9f606 100644
--- a/datasets/SV12VF_1.json
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index dbbc70c60a..43ddb4cfa7 100644
--- a/datasets/SV12VWC_1.json
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diff --git a/datasets/SV15PLSM_1.json b/datasets/SV15PLSM_1.json
index e0737f54ae..fb25c48df0 100644
--- a/datasets/SV15PLSM_1.json
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index 7a9987013e..c87d51eb36 100644
--- a/datasets/SV15PLTB_1.json
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diff --git a/datasets/SV15PSM_1.json b/datasets/SV15PSM_1.json
index 5fff209612..2372d3cb12 100644
--- a/datasets/SV15PSM_1.json
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diff --git a/datasets/SV16I_PLTBSM_1.json b/datasets/SV16I_PLTBSM_1.json
index 23ff98ec6b..6130c671a1 100644
--- a/datasets/SV16I_PLTBSM_1.json
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index 63dcfbd8d6..47022cb00c 100644
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diff --git a/datasets/SV16I_TNET_1.json b/datasets/SV16I_TNET_1.json
index e994d4f3a2..a6cda6165f 100644
--- a/datasets/SV16I_TNET_1.json
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index 8d73699a8f..3e5da70a8f 100644
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index 3fe5e53c88..ead5c750c7 100644
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index 4cf8440826..76034a8699 100644
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diff --git a/datasets/SV16M_LAI_1.json b/datasets/SV16M_LAI_1.json
index 3438f5cb01..8455281f4e 100644
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index e7446d3523..b2d7a8d118 100644
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diff --git a/datasets/SV16M_MET_1.json b/datasets/SV16M_MET_1.json
index 05bac39e86..24c23237a5 100644
--- a/datasets/SV16M_MET_1.json
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index 6941ec6816..1e8aaeec2c 100644
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index a3a53540ff..27a5ab9329 100644
--- a/datasets/SV16M_PSM_1.json
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index a0fa929a3c..4661e2038b 100644
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index 23bc084ba9..18c9eab8d4 100644
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index 02128b09f6..74d2e5d68d 100644
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diff --git a/datasets/SV16M_ST_1.json b/datasets/SV16M_ST_1.json
index 1e7bb1ae38..4685b97a45 100644
--- a/datasets/SV16M_ST_1.json
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@@ -42,7 +42,7 @@
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index 471db0beb6..662f563970 100644
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index dc70ea8c80..56c460f907 100644
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index cb62d2807f..7299996d99 100644
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index 417ac49802..c7e586c594 100644
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index 63ebefeec8..3ddc625363 100644
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diff --git a/datasets/SV19MA_TNET_001.json b/datasets/SV19MA_TNET_001.json
index 42a1fef2d5..68db4eb483 100644
--- a/datasets/SV19MA_TNET_001.json
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@@ -42,7 +42,7 @@
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index 9977f5b23b..ef08e59b66 100644
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index 5fbf182e83..9be0a05e3f 100644
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index aff2363b40..1452e4b82d 100644
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index 7bd6621c0c..04b753e499 100644
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diff --git a/datasets/SV19MB_TNET_001.json b/datasets/SV19MB_TNET_001.json
index 19fa5f170b..373b997582 100644
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diff --git a/datasets/Sahel_Water_Bodies_1269_1.json b/datasets/Sahel_Water_Bodies_1269_1.json
index ebab0a6764..6a766a05fe 100644
--- a/datasets/Sahel_Water_Bodies_1269_1.json
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@@ -42,7 +42,7 @@
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index 2e66c3c4ad..4515a18d66 100644
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index fa7e0b0e50..195eb325ce 100644
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index 48284a6901..f22b9fafa4 100644
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index 1b028ab64f..6f920820c1 100644
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index 300010511a..5d971d4e4b 100644
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index 5ad138c024..d15d07dbea 100644
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index fee0fc0438..1446c49989 100644
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index 4cc8e2e0f4..39a99ab2e7 100644
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diff --git a/datasets/SoilResp_HeterotrophicResp_1928_1.json b/datasets/SoilResp_HeterotrophicResp_1928_1.json
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index 46b21c0499..452ce80e3b 100644
--- a/datasets/SoilSCAPE_1339_1.json
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@@ -42,7 +42,7 @@
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index 8f4a458f43..a69ac561e5 100644
--- a/datasets/SoilSCAPE_V2_2049_2.json
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index cb1969d848..b2a0b86bf0 100644
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diff --git a/datasets/Soil_Moisture_Alaska_Alberta_2123_1.json b/datasets/Soil_Moisture_Alaska_Alberta_2123_1.json
index 4faa965251..3568c036b3 100644
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@@ -42,7 +42,7 @@
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diff --git a/datasets/Soil_Temp_Moisture_Alaska_1869_1.json b/datasets/Soil_Temp_Moisture_Alaska_1869_1.json
index bb7851fd0a..e146b5ead5 100644
--- a/datasets/Soil_Temp_Moisture_Alaska_1869_1.json
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@@ -42,7 +42,7 @@
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index 23819cdd2a..253c1f3402 100644
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index 5f0d776aa9..472f2cb47b 100644
--- a/datasets/Sonoma_County_Forest_AGB_1764_1.json
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diff --git a/datasets/TEMPO_CLDO4_L2_V01.json b/datasets/TEMPO_CLDO4_L2_V01.json
index ea5b618ef7..c8921338e5 100644
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diff --git a/datasets/TEMPO_CLDO4_L2_V02.json b/datasets/TEMPO_CLDO4_L2_V02.json
new file mode 100644
index 0000000000..f65d1bff3a
--- /dev/null
+++ b/datasets/TEMPO_CLDO4_L2_V02.json
@@ -0,0 +1,136 @@
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+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848626-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848626-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848626-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
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+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848626-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848626-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
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+            "type": "application/json"
+        },
+        {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
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+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO cloud pressure and fraction (O2-O2 dimer) V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
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+        },
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+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/CLDO4_L2.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_CLDO4_L2_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_CLDO4_L2_V03.json b/datasets/TEMPO_CLDO4_L2_V03.json
index fca30de731..fa64e99ce6 100644
--- a/datasets/TEMPO_CLDO4_L2_V03.json
+++ b/datasets/TEMPO_CLDO4_L2_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_CLDO4_L2_V03",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_CLDO4_L2_V03",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_CLDO4_L2_V03/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_CLDO4_L2_V03/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_CLDO4_L3_V01.json b/datasets/TEMPO_CLDO4_L3_V01.json
index e07c537a99..c60e3a3b1e 100644
--- a/datasets/TEMPO_CLDO4_L3_V01.json
+++ b/datasets/TEMPO_CLDO4_L3_V01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_CLDO4_L3_V01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDO4_L3_V01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_CLDO4_L3_V01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDO4_L3_V01/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_CLDO4_L3_V02.json b/datasets/TEMPO_CLDO4_L3_V02.json
new file mode 100644
index 0000000000..ed9be9743b
--- /dev/null
+++ b/datasets/TEMPO_CLDO4_L3_V02.json
@@ -0,0 +1,144 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_CLDO4_L3_V02",
+    "stac_version": "1.0.0",
+    "description": "O2-O2 cloud Level 3 files provide cloud information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on effective cloud fraction, cloud optical centroid pressure, cloud radiance fraction, and ancillary data used in the calculation. The re-gridding algorithm uses an area-weighted approach.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849693-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849693-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849693-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849693-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849693-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDO4_L3_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDO4_L3_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO gridded cloud fraction and pressure (O2-O2 dimer) V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail_0": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail [0]",
+            "description": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "thumbnail_1": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail [1]",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/CLDO4_L3.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_CLDO4_L3_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_CLDO4_L3_V03.json b/datasets/TEMPO_CLDO4_L3_V03.json
index 89b3adf597..4b8f8bf55a 100644
--- a/datasets/TEMPO_CLDO4_L3_V03.json
+++ b/datasets/TEMPO_CLDO4_L3_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIiwidW1tIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIn0%3D/TEMPO_CLDO4_L3_V03",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDO4_L3_V03",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIiwidW1tIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIn0%3D/TEMPO_CLDO4_L3_V03/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDO4_L3_V03/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_CLDRR_L3_V01.json b/datasets/TEMPO_CLDRR_L3_V01.json
new file mode 100644
index 0000000000..25712e43d2
--- /dev/null
+++ b/datasets/TEMPO_CLDRR_L3_V01.json
@@ -0,0 +1,128 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_CLDRR_L3_V01",
+    "stac_version": "1.0.0",
+    "description": "Since these are test data, we do not have an abstract yet",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724035667-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724035667-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724035667-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724035667-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724035667-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDRR_L3_V01",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDRR_L3_V01/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO gridded cloud fraction and pressure (Raman scattering)",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_DRK_L1_V01.json b/datasets/TEMPO_DRK_L1_V01.json
index 2570b413c0..e187b738c2 100644
--- a/datasets/TEMPO_DRK_L1_V01.json
+++ b/datasets/TEMPO_DRK_L1_V01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_DRK_L1_V01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_DRK_L1_V01",
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@@ -53,7 +53,7 @@
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         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_DRK_L1_V01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_DRK_L1_V01/items",
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diff --git a/datasets/TEMPO_DRK_L1_V02.json b/datasets/TEMPO_DRK_L1_V02.json
index 169fe78711..a472fa03d3 100644
--- a/datasets/TEMPO_DRK_L1_V02.json
+++ b/datasets/TEMPO_DRK_L1_V02.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_DRK_L1_V02",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_DRK_L1_V02",
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@@ -53,7 +53,7 @@
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         {
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-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_DRK_L1_V02/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_DRK_L1_V02/items",
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diff --git a/datasets/TEMPO_DRK_L1_V03.json b/datasets/TEMPO_DRK_L1_V03.json
index b395337822..600a3578a9 100644
--- a/datasets/TEMPO_DRK_L1_V03.json
+++ b/datasets/TEMPO_DRK_L1_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_DRK_L1_V03",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_DRK_L1_V03",
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         },
         {
@@ -53,7 +53,7 @@
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         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_DRK_L1_V03/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_DRK_L1_V03/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_HCHO-PROXY_L2_V01.json b/datasets/TEMPO_HCHO-PROXY_L2_V01.json
new file mode 100644
index 0000000000..e69f3ea4c7
--- /dev/null
+++ b/datasets/TEMPO_HCHO-PROXY_L2_V01.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_HCHO-PROXY_L2_V01",
+    "stac_version": "1.0.0",
+    "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO HCHO data during the pre-launch era of the mission. The procedure for generating the \u201cfast\u201d proxy HCHO product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a-priori) from G5NR-chem are provided as input into the \u201cfast\u201d proxy methodology. Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure. True slant column densities are calculated from the HCHO truth profiles multiplied by the scattering weights in each model layer. A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities. A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy HCHO vertical column density product. Overall, the \u201cfast\u201d proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms. The proxy product is not intended for supporting scientific publications, operational decisions, etc.\r\n\r\nPermission is needed for data access.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2634111678-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2634111678-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2634111678-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2634111678-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2634111678-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_HCHO-PROXY_L2_V01",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_HCHO-PROXY_L2_V01/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO Formaldehyde total column Proxy V01",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2013-07-01T00:00:00Z",
+                    "2014-06-30T23:59:59.999000Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "TEMPO Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://asdc.larc.nasa.gov/data/TEMPO/HCHO-PROXY_L2_V01/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for TEMPO_HCHO-PROXY_L2_V01",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_HCHO-PROXY_L2_V02.json b/datasets/TEMPO_HCHO-PROXY_L2_V02.json
new file mode 100644
index 0000000000..c53f8f7000
--- /dev/null
+++ b/datasets/TEMPO_HCHO-PROXY_L2_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_HCHO-PROXY_L2_V02",
+    "stac_version": "1.0.0",
+    "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO HCHO data during the pre-launch era of the mission. The procedure for generating the \u201cfast\u201d proxy HCHO product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a-priori) from G5NR-chem are provided as input into the \u201cfast\u201d proxy methodology. Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure. True slant column densities are calculated from the HCHO truth profiles multiplied by the scattering weights in each model layer. A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities. A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy HCHO vertical column density product. Overall, the \u201cfast\u201d proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms. The proxy product is not intended for supporting scientific publications, operational decisions, etc.\r\n\r\nPermission is needed for data access.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725387165-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725387165-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725387165-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725387165-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725387165-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO-PROXY_L2_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO-PROXY_L2_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO Formaldehyde total column Proxy V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2013-07-01T00:00:00Z",
+                    "2014-06-30T23:59:59.999000Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "TEMPO Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://asdc.larc.nasa.gov/data/TEMPO/HCHO-PROXY_L2_V01/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for TEMPO_HCHO-PROXY_L2_V01",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_HCHO_L2_V01.json b/datasets/TEMPO_HCHO_L2_V01.json
index b5e31c0678..b92b2780d1 100644
--- a/datasets/TEMPO_HCHO_L2_V01.json
+++ b/datasets/TEMPO_HCHO_L2_V01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_HCHO_L2_V01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L2_V01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_HCHO_L2_V01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L2_V01/items",
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diff --git a/datasets/TEMPO_HCHO_L2_V02.json b/datasets/TEMPO_HCHO_L2_V02.json
new file mode 100644
index 0000000000..2616c938f0
--- /dev/null
+++ b/datasets/TEMPO_HCHO_L2_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_HCHO_L2_V02",
+    "stac_version": "1.0.0",
+    "description": "Formaldehyde Level 2 files provide trace gas information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on vertical columns, ancillary data used in air mass factor calculations and reference sector or de-striping corrections, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) reference sector or de-striping corrections as necessary. For further details, please refer to the ATBD.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842838927-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842838927-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842838927-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842838927-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842838927-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L2_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L2_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO Formaldehyde total column V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/HCHO_L2.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_HCHO_L2_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_HCHO_L2_V03.json b/datasets/TEMPO_HCHO_L2_V03.json
index f1cf63fcd3..d7cd17291e 100644
--- a/datasets/TEMPO_HCHO_L2_V03.json
+++ b/datasets/TEMPO_HCHO_L2_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_HCHO_L2_V03",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L2_V03",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_HCHO_L2_V03/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L2_V03/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_HCHO_L3_V01.json b/datasets/TEMPO_HCHO_L3_V01.json
index ee53753a7d..19ef6c3d48 100644
--- a/datasets/TEMPO_HCHO_L3_V01.json
+++ b/datasets/TEMPO_HCHO_L3_V01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_HCHO_L3_V01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L3_V01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_HCHO_L3_V01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L3_V01/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_HCHO_L3_V02.json b/datasets/TEMPO_HCHO_L3_V02.json
new file mode 100644
index 0000000000..84050cd9e3
--- /dev/null
+++ b/datasets/TEMPO_HCHO_L3_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_HCHO_L3_V02",
+    "stac_version": "1.0.0",
+    "description": "Formaldehyde Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on formaldehyde vertical columns, ancillary data used in air mass factor calculations and reference sector or de-striping corrections, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849916-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849916-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849916-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849916-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849916-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L3_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L3_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO gridded formaldehyde total column V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/HCHO_L3.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_HCHO_L3_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_HCHO_L3_V03.json b/datasets/TEMPO_HCHO_L3_V03.json
index 654dc13358..75fbd1f089 100644
--- a/datasets/TEMPO_HCHO_L3_V03.json
+++ b/datasets/TEMPO_HCHO_L3_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIiwidW1tIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIn0%3D/TEMPO_HCHO_L3_V03",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO_L3_V03",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
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     ],
diff --git a/datasets/TEMPO_NO2-PROXY_L2_V02.json b/datasets/TEMPO_NO2-PROXY_L2_V02.json
new file mode 100644
index 0000000000..33dfc605ce
--- /dev/null
+++ b/datasets/TEMPO_NO2-PROXY_L2_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_NO2-PROXY_L2_V02",
+    "stac_version": "1.0.0",
+    "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO NO2 data during the pre-launch era of the mission. The procedure for generating the \u201cfast\u201d proxy NO2 product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a-priori) from G5NR-chem are provided as input into the \u201cfast\u201d proxy methodology. Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure. True slant column densities are calculated from the NO2 truth profiles multiplied by the scattering weights in each model layer. A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities. A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy NO2 vertical column density product. Overall, the \u201cfast\u201d proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms. The proxy product is not intended for supporting scientific publications, operational decisions, etc.\r\n\r\nPermission is needed for data access.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725397567-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725397567-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725397567-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725397567-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725397567-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2-PROXY_L2_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2-PROXY_L2_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO NO2 tropospheric column PROXY",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2013-07-01T00:00:00Z",
+                    "2014-06-30T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "TEMPO Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://asdc.larc.nasa.gov/data/TEMPO/NO2-PROXY_L2_V01/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for TEMPO_NO2-PROXY_L2_V01",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_NO2-PROXY_L3_V01.json b/datasets/TEMPO_NO2-PROXY_L3_V01.json
new file mode 100644
index 0000000000..c5720db576
--- /dev/null
+++ b/datasets/TEMPO_NO2-PROXY_L3_V01.json
@@ -0,0 +1,128 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_NO2-PROXY_L3_V01",
+    "stac_version": "1.0.0",
+    "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO level 3 (L3) NO2 data before real data are available from the mission after launch.  The procedure for generating the \u201cfast\u201d proxy L3 NO2 product is the same as the level 2 (L2) product, except for the regridding step at the end of the L3 procedure.  Hourly model (truth) profiles and monthly-average hourly trace gas (a-priori) profiles from the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem; ~12.5 x 12.5 km2 resolution) are sampled at the TEMPO footprint (2.0 x 4.75 km2 at the center of the Field of Regard) to represent the true state of the atmosphere and climatological conditions, respectively.  Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure.  True slant column densities are calculated from the NO2 truth profiles multiplied by the scattering weights in each model layer.  A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities.  A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy NO2 vertical column density product at the TEMPO footprint.  Lastly, a geometric regridding procedure is applied, which weights the contributions of each L2 pixel to the target L3 polygon based on the geometric overlap, to generate the L3 product on a regular grid at 0.05\u00b0 resolution.  Overall, the \u201cfast\u201d proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms.  The proxy product is not intended for supporting scientific publications, operational decisions, etc.  Permission is needed to access the data. ",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2673637273-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2673637273-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2673637273-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2673637273-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2673637273-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_NO2-PROXY_L3_V01",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_NO2-PROXY_L3_V01/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO gridded NO2 total column PROXY",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2013-07-01T12:59:55Z",
+                    "2014-06-30T00:00:00Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_NO2_L2_V01.json b/datasets/TEMPO_NO2_L2_V01.json
index cf6f0823b0..3bd9fae763 100644
--- a/datasets/TEMPO_NO2_L2_V01.json
+++ b/datasets/TEMPO_NO2_L2_V01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_NO2_L2_V01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L2_V01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_NO2_L2_V01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L2_V01/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_NO2_L2_V02.json b/datasets/TEMPO_NO2_L2_V02.json
new file mode 100644
index 0000000000..47d54e738b
--- /dev/null
+++ b/datasets/TEMPO_NO2_L2_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_NO2_L2_V02",
+    "stac_version": "1.0.0",
+    "description": "Nitrogen dioxide Level 2 files provide trace gas information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) stratospheric/tropospheric separation. For further details, please refer to the ATBD.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848994-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848994-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848994-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848994-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848994-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L2_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L2_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO NO2 tropospheric, stratospheric, and total columns V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/NO2_L2.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_NO2_L2_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_NO2_L2_V03.json b/datasets/TEMPO_NO2_L2_V03.json
index e94b636026..d4223c6897 100644
--- a/datasets/TEMPO_NO2_L2_V03.json
+++ b/datasets/TEMPO_NO2_L2_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIiwidW1tIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIn0%3D/TEMPO_NO2_L2_V03",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L2_V03",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIiwidW1tIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIn0%3D/TEMPO_NO2_L2_V03/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L2_V03/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_NO2_L3_V01.json b/datasets/TEMPO_NO2_L3_V01.json
index 506be7a79a..d43f8e9ed8 100644
--- a/datasets/TEMPO_NO2_L3_V01.json
+++ b/datasets/TEMPO_NO2_L3_V01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_NO2_L3_V01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_NO2_L3_V01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_NO2_L3_V01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_NO2_L3_V01/items",
             "type": "application/json"
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     ],
diff --git a/datasets/TEMPO_NO2_L3_V02.json b/datasets/TEMPO_NO2_L3_V02.json
new file mode 100644
index 0000000000..c060212c7f
--- /dev/null
+++ b/datasets/TEMPO_NO2_L3_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_NO2_L3_V02",
+    "stac_version": "1.0.0",
+    "description": "Nitrogen dioxide Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842850219-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842850219-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842850219-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842850219-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842850219-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L3_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L3_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO gridded NO2 tropospheric, stratospheric, and total columns V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/NO2_L3.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_NO2_L3_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_NO2_L3_V03.json b/datasets/TEMPO_NO2_L3_V03.json
index f64d7b646e..523a18c4c5 100644
--- a/datasets/TEMPO_NO2_L3_V03.json
+++ b/datasets/TEMPO_NO2_L3_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIiwidW1tIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIn0%3D/TEMPO_NO2_L3_V03",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_NO2_L3_V03",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_NO2_L3_V03/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_O3PROF-PROXY_L2_V02.json b/datasets/TEMPO_O3PROF-PROXY_L2_V02.json
new file mode 100644
index 0000000000..3a57e21294
--- /dev/null
+++ b/datasets/TEMPO_O3PROF-PROXY_L2_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_O3PROF-PROXY_L2_V02",
+    "stac_version": "1.0.0",
+    "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO O3 profile data during the pre-launch era of the mission. The procedure for generating the proxy O3 profile product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a priori) from G5NR-chem are resampled at the TEMPO footprint (2.0 x 4.75 km2 at the center of the Field of Regard) to represent the \u201ctrue\u201d state of the atmosphere as input into the \u201cfast\u201d proxy methodology. The methodology uses the optimal estimation and lookup table (LUT)-based radiative transfer model [GEOCAPE Radiative Transfer Tool based on the Vector Linearized Discrete Ordinate Radiative Transfer (VLIDORT) model (Spurr, 2006)] simulations founded on the linear retrieval approach (Rodgers, 2000). LUTs consist of top-of-atmosphere radiances and Jacobians simulated every 0.2 nm from 292 \u2013 340 nm and 540 \u2013 650 nm at a Gaussian of 0.6 Full Width at Half Maximum (FWHM) spectral resolution, matching the TEMPO instrument design. Surface and cloud layers are assumed as a Lambertian surface for incoming radiation. Ozone a priori and its covariance error is based on a tropopause-based climatology formed from ozonesondes from 1983 through 2008 (Bak et al., 2013) and surface albedo is from Ozone Monitoring Instrument (OMI) climatology in the ultraviolet and SCIAMACHY climatology in the visible. Finally, spatial co-adding of 4 pixels is performed to increase the signal-to-noise ratio and reduce the noise level in the O3 profile product. The final O3 profile product is packaged in netCDF-4/HDF5 format as planned for the operational TEMPO mission with a spatial resolution of 8.0 km x 4.75 km. \r\n\r\nPermission is needed for data access.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725407324-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725407324-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725407324-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725407324-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2725407324-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF-PROXY_L2_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF-PROXY_L2_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO OZONE PROFILE PROXY",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2013-07-01T00:00:00Z",
+                    "2014-06-30T23:59:59.999000Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://asdc.larc.nasa.gov/data/TEMPO/O3PROF-PROXY_L2_V01/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for TEMPO_O3PROF-PROXY_L2_V01",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_O3PROF_L2_V01.json b/datasets/TEMPO_O3PROF_L2_V01.json
new file mode 100644
index 0000000000..81c843d9f2
--- /dev/null
+++ b/datasets/TEMPO_O3PROF_L2_V01.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_O3PROF_L2_V01",
+    "stac_version": "1.0.0",
+    "description": "Ozone profile Level 2 files provide ozone profile information at a coarser spatial resolution than the native TEMPO resolution by coadding 4 across-track pixels in the North-South direction, ~40 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, a priori ozone profile and a prior error, total, stratospheric, and tropospheric ozone columns, other retrieved auxiliary parameters, random-noise and total retrieval errors for all of the retrieved quantities, the retrieval averaging kernels for the ozone profile, and the random-noise retrieval error covariance matrix for ozone, and several retrieval quality flags. The retrieval is based on spectral fitting of TEMPO radiances in both UV and visible bands using the iterative optimal estimation technique with a priori and measurement error constraints. For further details, please refer to the ATBD.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724049185-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724049185-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724049185-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724049185-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724049185-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L2_V01",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L2_V01/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO ozone profile V01",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/O3PROF_L2.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_O3PROF_L2_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_O3PROF_L2_V02.json b/datasets/TEMPO_O3PROF_L2_V02.json
new file mode 100644
index 0000000000..7033a2267c
--- /dev/null
+++ b/datasets/TEMPO_O3PROF_L2_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_O3PROF_L2_V02",
+    "stac_version": "1.0.0",
+    "description": "Ozone profile Level 2 files provide ozone profile information at a coarser spatial resolution than the native TEMPO resolution by coadding 4 across-track pixels in the North-South direction, ~40 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, a priori ozone profile and a prior error, total, stratospheric, and tropospheric ozone columns, other retrieved auxiliary parameters, random-noise and total retrieval errors for all of the retrieved quantities, the retrieval averaging kernels for the ozone profile, and the random-noise retrieval error covariance matrix for ozone, and several retrieval quality flags. The retrieval is based on spectral fitting of TEMPO radiances in both UV and visible bands using the iterative optimal estimation technique with a priori and measurement error constraints. For further details, please refer to the ATBD.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851537-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851537-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851537-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851537-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851537-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L2_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L2_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO ozone profile V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/O3PROF_L2.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_O3PROF_L2_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_O3PROF_L2_V03.json b/datasets/TEMPO_O3PROF_L2_V03.json
new file mode 100644
index 0000000000..2cd4adb5a2
--- /dev/null
+++ b/datasets/TEMPO_O3PROF_L2_V03.json
@@ -0,0 +1,151 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_O3PROF_L2_V03",
+    "stac_version": "1.0.0",
+    "description": "Ozone profile Level 2 files provide ozone profile information at a coarser spatial resolution than the native TEMPO resolution by coadding 4 across-track pixels in the North-South direction, ~40 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, a priori ozone profile and a prior error, total, stratospheric, and tropospheric ozone columns, other retrieved auxiliary parameters, random-noise and total retrieval errors for all of the retrieved quantities, the retrieval averaging kernels for the ozone profile, and the random-noise retrieval error covariance matrix for ozone, and several retrieval quality flags. The retrieval is based on spectral fitting of TEMPO radiances in both UV and visible bands using the iterative optimal estimation technique with a priori and measurement error constraints. For further details, please refer to the ATBD.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930765147-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930765147-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930765147-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930765147-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930765147-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L2_V03",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L2_V03/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO ozone profile V03 (UNVALIDATED)",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C2930765147-LARC_CLOUD",
+            "title": "Direct Download",
+            "description": "Earthdata Search for TEMPO_O3PROF_L2_V03 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/O3PROF_L2.003",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_O3PROF_L2_V03",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_asdc_prod_protected_TEMPO_TEMPO_O3PROF_L2_V03": {
+            "href": "s3://asdc-prod-protected/TEMPO/TEMPO_O3PROF_L2_V03",
+            "title": "asdc_prod_protected_TEMPO_TEMPO_O3PROF_L2_V03",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_O3PROF_L3_V01.json b/datasets/TEMPO_O3PROF_L3_V01.json
new file mode 100644
index 0000000000..564d9162b1
--- /dev/null
+++ b/datasets/TEMPO_O3PROF_L3_V01.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_O3PROF_L3_V01",
+    "stac_version": "1.0.0",
+    "description": "Ozone profile Level 3 files provide ozone profile information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, total, stratospheric, and tropospheric ozone columns, and their random-noise and total retrieval errors, a priori ozone profile and a prior error, effective cloud fraction and effective cloud top pressure. The re-gridding algorithm uses an area-weighted approach.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724036709-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724036709-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724036709-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724036709-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2724036709-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L3_V01",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L3_V01/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO gridded ozone profile V01",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/O3PROF_L3.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_O3PROF_L3_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_O3PROF_L3_V02.json b/datasets/TEMPO_O3PROF_L3_V02.json
new file mode 100644
index 0000000000..b552e0e5c2
--- /dev/null
+++ b/datasets/TEMPO_O3PROF_L3_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_O3PROF_L3_V02",
+    "stac_version": "1.0.0",
+    "description": "Ozone profile Level 3 files provide ozone profile information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, total, stratospheric, and tropospheric ozone columns, and their random-noise and total retrieval errors, a priori ozone profile and a prior error, effective cloud fraction and effective cloud top pressure. The re-gridding algorithm uses an area-weighted approach.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851798-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851798-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851798-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851798-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851798-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L3_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L3_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO gridded ozone profile V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/O3PROF_L3.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_O3PROF_L3_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_O3PROF_L3_V03.json b/datasets/TEMPO_O3PROF_L3_V03.json
new file mode 100644
index 0000000000..5d4f169bca
--- /dev/null
+++ b/datasets/TEMPO_O3PROF_L3_V03.json
@@ -0,0 +1,151 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_O3PROF_L3_V03",
+    "stac_version": "1.0.0",
+    "description": "Ozone profile Level 3 files provide ozone profile information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, total, stratospheric, and tropospheric ozone columns, and their random-noise and total retrieval errors, a priori ozone profile and a prior error, effective cloud fraction and effective cloud top pressure. The re-gridding algorithm uses an area-weighted approach.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930766006-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930766006-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930766006-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930766006-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2930766006-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L3_V03",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF_L3_V03/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO gridded ozone profile V03 (UNVALIDATED)",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C2724036633-LARC_CLOUD",
+            "title": "Direct Download",
+            "description": "Earthdata Search for TEMPO_O3PROF_L3_V03 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/O3PROF_L3.003",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_O3PROF_L3_V03",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_asdc_prod_protected_TEMPO_TEMPO_O3PROF_L3_V03": {
+            "href": "s3://asdc-prod-protected/TEMPO/TEMPO_O3PROF_L3_V03",
+            "title": "asdc_prod_protected_TEMPO_TEMPO_O3PROF_L3_V03",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.sit.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_O3TOT_L2_V01.json b/datasets/TEMPO_O3TOT_L2_V01.json
index 8bf513a2ab..7834f6f0cf 100644
--- a/datasets/TEMPO_O3TOT_L2_V01.json
+++ b/datasets/TEMPO_O3TOT_L2_V01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_O3TOT_L2_V01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L2_V01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_O3TOT_L2_V01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L2_V01/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_O3TOT_L2_V02.json b/datasets/TEMPO_O3TOT_L2_V02.json
new file mode 100644
index 0000000000..72abea41d2
--- /dev/null
+++ b/datasets/TEMPO_O3TOT_L2_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_O3TOT_L2_V02",
+    "stac_version": "1.0.0",
+    "description": "Total ozone Level 2 files provide ozone information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The retrieval is based on the OMI TOMS V8.5 algorithm adapted for TEMPO. For further details, please refer to the ATBD.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849465-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849465-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849465-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849465-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849465-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L2_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L2_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO ozone total column V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/O3TOT_L2.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_O3TOT_L2_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_O3TOT_L2_V03.json b/datasets/TEMPO_O3TOT_L2_V03.json
index caec87a9c8..756010dec7 100644
--- a/datasets/TEMPO_O3TOT_L2_V03.json
+++ b/datasets/TEMPO_O3TOT_L2_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIiwidW1tIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIn0%3D/TEMPO_O3TOT_L2_V03",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L2_V03",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIiwidW1tIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIn0%3D/TEMPO_O3TOT_L2_V03/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L2_V03/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TEMPO_O3TOT_L3_V01.json b/datasets/TEMPO_O3TOT_L3_V01.json
index dd6e894d71..37824528db 100644
--- a/datasets/TEMPO_O3TOT_L3_V01.json
+++ b/datasets/TEMPO_O3TOT_L3_V01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAyIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDJcIiwyODQyODQ1NTYyLDEwXSIsInVtbSI6IltcInRlbXBvIGdlb2xvY2F0ZWQgZWFydGggcmFkaWFuY2VzIHYwMiAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX1JBRF9MMVwiLFwidjAyXCIsMjg0Mjg0NTU2MiwxMF0ifQ%3D%3D/TEMPO_O3TOT_L3_V01",
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@@ -53,7 +53,7 @@
         },
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L3_V01/items",
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diff --git a/datasets/TEMPO_O3TOT_L3_V02.json b/datasets/TEMPO_O3TOT_L3_V02.json
new file mode 100644
index 0000000000..3a28208cdc
--- /dev/null
+++ b/datasets/TEMPO_O3TOT_L3_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_O3TOT_L3_V02",
+    "stac_version": "1.0.0",
+    "description": "Total ozone Level 3 files provide ozone information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including cloud fraction, cloud pressure, radiative cloud fraction, SO2 index, and terrain pressure. The re-gridding algorithm uses an area-weighted approach.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842852554-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842852554-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842852554-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842852554-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842852554-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L3_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L3_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO gridded ozone total column V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "Mission Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/O3TOT_L3.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_O3TOT_L3_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_O3TOT_L3_V03.json b/datasets/TEMPO_O3TOT_L3_V03.json
index e0baf527db..0248b3d692 100644
--- a/datasets/TEMPO_O3TOT_L3_V03.json
+++ b/datasets/TEMPO_O3TOT_L3_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
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+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L3_V03",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIiwidW1tIjoiW1widGVtcG8gZ2VvbG9jYXRlZCBlYXJ0aCByYWRpYW5jZXMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fUkFEX0wxXCIsXCJ2MDNcIiwyOTMwNzU5MzM2LDhdIn0%3D/TEMPO_O3TOT_L3_V03/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L3_V03/items",
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     ],
diff --git a/datasets/TEMPO_RADT_L1_V01.json b/datasets/TEMPO_RADT_L1_V01.json
new file mode 100644
index 0000000000..9bfe9c5865
--- /dev/null
+++ b/datasets/TEMPO_RADT_L1_V01.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_RADT_L1_V01",
+    "stac_version": "1.0.0",
+    "description": "Level 1 radiance files provide radiance information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2832249322-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2832249322-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2832249322-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2832249322-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2832249322-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_RADT_L1_V01",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_RADT_L1_V01/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO geolocated Earth radiances twilight V01",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "TEMPO Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/RADT_L1.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_RADT_L1_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_RADT_L1_V02.json b/datasets/TEMPO_RADT_L1_V02.json
new file mode 100644
index 0000000000..f079b0dd99
--- /dev/null
+++ b/datasets/TEMPO_RADT_L1_V02.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "TEMPO_RADT_L1_V02",
+    "stac_version": "1.0.0",
+    "description": "Level 1 radiance files provide radiance information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842861966-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842861966-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842861966-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842861966-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2842861966-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_RADT_L1_V02",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_RADT_L1_V02/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TEMPO geolocated Earth radiances twilight V02",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -170,
+                    10,
+                    -10,
+                    80
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2023-08-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "browse": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "type": "image/jpeg",
+            "title": "Download tempo.png",
+            "roles": [
+                "browse"
+            ]
+        },
+        "thumbnail": {
+            "href": "https://asdc.larc.nasa.gov/static/images/project_logos/tempo.png",
+            "title": "Thumbnail",
+            "description": "TEMPO Logo",
+            "roles": [
+                "thumbnail"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/IS-40e/TEMPO/RADT_L1.001",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TEMPO_RADT_L1_V01",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TEMPO_RADT_L1_V03.json b/datasets/TEMPO_RADT_L1_V03.json
index 903c37df8a..f8a95270c2 100644
--- a/datasets/TEMPO_RADT_L1_V03.json
+++ b/datasets/TEMPO_RADT_L1_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RADT_L1_V03",
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             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RADT_L1_V03/items",
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diff --git a/datasets/TEMPO_RAD_L1_V01.json b/datasets/TEMPO_RAD_L1_V01.json
index eb846f6880..43cbaa6e07 100644
--- a/datasets/TEMPO_RAD_L1_V01.json
+++ b/datasets/TEMPO_RAD_L1_V01.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RAD_L1_V01",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_RAD_L1_V01",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RAD_L1_V01/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_RAD_L1_V01/items",
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diff --git a/datasets/TEMPO_RAD_L1_V02.json b/datasets/TEMPO_RAD_L1_V02.json
index 2aa2ca94e1..536c5979c0 100644
--- a/datasets/TEMPO_RAD_L1_V02.json
+++ b/datasets/TEMPO_RAD_L1_V02.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RAD_L1_V02",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_RAD_L1_V02",
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@@ -53,7 +53,7 @@
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         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RAD_L1_V02/items",
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diff --git a/datasets/TEMPO_RAD_L1_V03.json b/datasets/TEMPO_RAD_L1_V03.json
index b8947e88d3..1d946ba788 100644
--- a/datasets/TEMPO_RAD_L1_V03.json
+++ b/datasets/TEMPO_RAD_L1_V03.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RAD_L1_V03",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_RAD_L1_V03",
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@@ -53,7 +53,7 @@
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         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RAD_L1_V03/items",
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diff --git a/datasets/TG02_Balloon_VOC_1110_1.json b/datasets/TG02_Balloon_VOC_1110_1.json
index 5fc3cdac7c..8057672561 100644
--- a/datasets/TG02_Balloon_VOC_1110_1.json
+++ b/datasets/TG02_Balloon_VOC_1110_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/TG03_AERONET_AOT_1128_1.json b/datasets/TG03_AERONET_AOT_1128_1.json
index b8e0015e31..defb75fbf7 100644
--- a/datasets/TG03_AERONET_AOT_1128_1.json
+++ b/datasets/TG03_AERONET_AOT_1128_1.json
@@ -42,7 +42,7 @@
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index a619813fc5..2665dfb67f 100644
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index 515c70e485..cf53688aa3 100644
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index 68a57120a3..ca67b785d7 100644
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index 579cefb6ce..1c1b1f4f1e 100644
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@@ -42,7 +42,7 @@
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index 7f73a9f387..3b60f1fec8 100644
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index 294b385d19..371298da00 100644
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diff --git a/datasets/TG07_Litter_Decomposition_925_1.json b/datasets/TG07_Litter_Decomposition_925_1.json
index 794b4fe501..a91694a330 100644
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index f3eee83b2e..208d2f9bca 100644
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index def9a25057..ed24725eae 100644
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index 1dd4aaf758..5d075d550b 100644
--- a/datasets/TG07_Soil_Nutrients_1085_1.json
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+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBsaXR0ZXIgZGVjb21wb3NpdGlvbiwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIHBhcmEsIGJyYXppbDogMjAwMC0yMDAxXCIsXCJPUk5MX0NMT1VEXCIsXCJURzA3X0xpdHRlcl9EZWNvbXBvc2l0aW9uXzkyNVwiLFwiMVwiLDI3Nzc3NTAzODIsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIHRnLTA3IGxpdHRlciBkZWNvbXBvc2l0aW9uLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgcGFyYSwgYnJhemlsOiAyMDAwLTIwMDFcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfTGl0dGVyX0RlY29tcG9zaXRpb25fOTI1XCIsXCIxXCIsMjc3Nzc1MDM4MiwyXSJ9/TG09_N2O_Soils_1013_1/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/TG10_TROFFEE_1195_1.json b/datasets/TG10_TROFFEE_1195_1.json
index b3c781e4c1..523e679a0d 100644
--- a/datasets/TG10_TROFFEE_1195_1.json
+++ b/datasets/TG10_TROFFEE_1195_1.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBncm91bmQtYmFzZWQgYmlvbWV0cnkgZGF0YSBhdCBrbSA4MyBzaXRlLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdDogMTk5N1wiLFwiT1JOTF9DTE9VRFwiLFwiVEcwN19GRlRfU3VydmV5X0ttODNfOTIzXCIsXCIxXCIsMjc3Nzc1MDI4NSwyXSIsInVtbSI6IltcImxiYS1lY28gdGctMDcgZ3JvdW5kLWJhc2VkIGJpb21ldHJ5IGRhdGEgYXQga20gODMgc2l0ZSwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3Q6IDE5OTdcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfRkZUX1N1cnZleV9LbTgzXzkyM1wiLFwiMVwiLDI3Nzc3NTAyODUsMl0ifQ%3D%3D/TG10_TROFFEE_1195_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBsaXR0ZXIgZGVjb21wb3NpdGlvbiwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIHBhcmEsIGJyYXppbDogMjAwMC0yMDAxXCIsXCJPUk5MX0NMT1VEXCIsXCJURzA3X0xpdHRlcl9EZWNvbXBvc2l0aW9uXzkyNVwiLFwiMVwiLDI3Nzc3NTAzODIsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIHRnLTA3IGxpdHRlciBkZWNvbXBvc2l0aW9uLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgcGFyYSwgYnJhemlsOiAyMDAwLTIwMDFcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfTGl0dGVyX0RlY29tcG9zaXRpb25fOTI1XCIsXCIxXCIsMjc3Nzc1MDM4MiwyXSJ9/TG10_TROFFEE_1195_1",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBncm91bmQtYmFzZWQgYmlvbWV0cnkgZGF0YSBhdCBrbSA4MyBzaXRlLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdDogMTk5N1wiLFwiT1JOTF9DTE9VRFwiLFwiVEcwN19GRlRfU3VydmV5X0ttODNfOTIzXCIsXCIxXCIsMjc3Nzc1MDI4NSwyXSIsInVtbSI6IltcImxiYS1lY28gdGctMDcgZ3JvdW5kLWJhc2VkIGJpb21ldHJ5IGRhdGEgYXQga20gODMgc2l0ZSwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3Q6IDE5OTdcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfRkZUX1N1cnZleV9LbTgzXzkyM1wiLFwiMVwiLDI3Nzc3NTAyODUsMl0ifQ%3D%3D/TG10_TROFFEE_1195_1/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBsaXR0ZXIgZGVjb21wb3NpdGlvbiwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIHBhcmEsIGJyYXppbDogMjAwMC0yMDAxXCIsXCJPUk5MX0NMT1VEXCIsXCJURzA3X0xpdHRlcl9EZWNvbXBvc2l0aW9uXzkyNVwiLFwiMVwiLDI3Nzc3NTAzODIsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIHRnLTA3IGxpdHRlciBkZWNvbXBvc2l0aW9uLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgcGFyYSwgYnJhemlsOiAyMDAwLTIwMDFcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfTGl0dGVyX0RlY29tcG9zaXRpb25fOTI1XCIsXCIxXCIsMjc3Nzc1MDM4MiwyXSJ9/TG10_TROFFEE_1195_1/items",
             "type": "application/json"
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     ],
diff --git a/datasets/TL1BL_004.json b/datasets/TL1BL_004.json
new file mode 100644
index 0000000000..49b98bbb98
--- /dev/null
+++ b/datasets/TL1BL_004.json
@@ -0,0 +1,126 @@
+{
+    "type": "Collection",
+    "id": "TL1BL_004",
+    "stac_version": "1.0.0",
+    "description": "TES Level 1B Spectra data contain radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data are also provided. Each L1B data file contains data from a single TES orbit starting from the South Pole Apex.A Nadir sequence with in the TES Global Survey is two low resolution scans overthe same ground locations. The Nadir standard product consists of four files,where each file is composed of the Global Survey Nadir observations from one offour focal planes for a single orbit, i.e. 72 orbit sequences. The GlobalSurvey Nadir observations currently only use a single set of filter mix.A Limb sequence within the TES Global Survey is three high-resolutionscans over the same limb locations. The Limb standard product willconsist of four files, where each file will be composed of the GlobalSurvey Limb observations from one of four focal planes for a singleorbit, i.e. 72 orbit sequences. The Global Survey Limb observationsuse a repeating sequence of filter wheel positions.Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/specialobservations/ for details.Details of the format of this product can be found in the TESData Products Specifications (DPS) which is available from the LaRC ASDC site:https://eosweb.larc.nasa.gov/project/tes/DPS",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606825-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606825-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606825-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606825-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606825-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL1BL_004",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL1BL_004/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/Aura L1B Spectra Limb V004",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-08-22T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "gov/TES/TL1BL": {
+            "href": "ftp://l5eil01.larc.nasa.gov/TES/TL1BL.004/",
+            "title": "Direct Download [0]",
+            "roles": [
+                "data"
+            ]
+        },
+        "nasa": {
+            "href": "http://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite&spatial_type=rectangle&keywords=TL1BL",
+            "title": "Direct Download [1]",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TL3ATD_004.json b/datasets/TL3ATD_004.json
new file mode 100644
index 0000000000..59c60ccb4f
--- /dev/null
+++ b/datasets/TL3ATD_004.json
@@ -0,0 +1,119 @@
+{
+    "type": "Collection",
+    "id": "TL3ATD_004",
+    "stac_version": "1.0.0",
+    "description": "The TES Aura L3 ATD data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612903-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612903-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612903-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612903-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612903-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3ATD_004",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3ATD_004/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/Aura L3 Atmospheric Temperatures Daily Gridded V004",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-08-22T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "gov/TES/TL3ATD": {
+            "href": "ftp://l5eil01.larc.nasa.gov/TES/TL3ATD.003/",
+            "title": "Direct Download",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TL3CH4D_004.json b/datasets/TL3CH4D_004.json
new file mode 100644
index 0000000000..28a71b1eba
--- /dev/null
+++ b/datasets/TL3CH4D_004.json
@@ -0,0 +1,119 @@
+{
+    "type": "Collection",
+    "id": "TL3CH4D_004",
+    "stac_version": "1.0.0",
+    "description": "The TES Aura L3 CH4 data consist of daily averages of atmospheric Methane for atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms \"Daily\" and \"Monthly\" representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are \"daily\" and \"monthly\". L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612941-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612941-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612941-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612941-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612941-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3CH4D_004",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3CH4D_004/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/Aura L3 CH4 Daily Gridded V004",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-08-22T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "gov/TES/TL3ATD": {
+            "href": "ftp://l4ftl01.larc.nasa.gov/TES/TL3ATD.001/",
+            "title": "Direct Download",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TL3COD_4.json b/datasets/TL3COD_4.json
new file mode 100644
index 0000000000..3009c81666
--- /dev/null
+++ b/datasets/TL3COD_4.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "TL3COD_4",
+    "stac_version": "1.0.0",
+    "description": "Tropospheric Emission Spectrometer (TES) Aura L3 Carbon Monoxide (CO) Daily Gridded (TL3COD) data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated with in that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612958-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612958-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612958-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612958-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612958-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3COD_4",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3COD_4/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/Aura L3 CO Daily Gridded V004",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -82,
+                    180,
+                    82
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-09-03T00:00:00Z",
+                    "2020-11-20T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/AURA/TES/TL3COD_L3.004",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TL3COD_4",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TL3COM_6.json b/datasets/TL3COM_6.json
new file mode 100644
index 0000000000..e4cd175a9d
--- /dev/null
+++ b/datasets/TL3COM_6.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "TL3COM_6",
+    "stac_version": "1.0.0",
+    "description": "TL3COM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Carbon Monoxide Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric carbon monoxide species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. \r\rThe TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613001-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613001-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613001-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613001-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613001-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3COM_6",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3COM_6/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/Aura L3 Carbon Monoxide Monthly Gridded V006",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -82,
+                    180,
+                    82
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-09-03T00:00:00Z",
+                    "2018-01-31T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/AURA/TES/TL3COM.006",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TL3COM_6",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TL3H2OD_4.json b/datasets/TL3H2OD_4.json
new file mode 100644
index 0000000000..6a8c3ca6eb
--- /dev/null
+++ b/datasets/TL3H2OD_4.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "TL3H2OD_4",
+    "stac_version": "1.0.0",
+    "description": "Tropospheric Emission Spectrometer (TES) Aura L3 Water Vapor (H20) Daily Gridded (TL3H2OD) data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated with in that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613020-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613020-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613020-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613020-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613020-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3H2OD_4",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3H2OD_4/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/Aura L3 H2O Daily Gridded V004",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -82,
+                    180,
+                    82
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-08-22T00:00:00Z",
+                    "2020-11-20T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/AURA/TES/TL3H2OD_L3.004",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TL3H2OD_4",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TL3H2OM_3.json b/datasets/TL3H2OM_3.json
new file mode 100644
index 0000000000..e5ad36d683
--- /dev/null
+++ b/datasets/TL3H2OM_3.json
@@ -0,0 +1,126 @@
+{
+    "type": "Collection",
+    "id": "TL3H2OM_3",
+    "stac_version": "1.0.0",
+    "description": "The TES Aura L3 H2O data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613076-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613076-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613076-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613076-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613076-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3H2OM_3",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3H2OM_3/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/Aura L3 H2O Monthly Gridded V003",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-08-22T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "gov/TES/TL3H2OM": {
+            "href": "ftp://l5eil01.larc.nasa.gov/TES/TL3H2OM.003/",
+            "title": "Direct Download [0]",
+            "roles": [
+                "data"
+            ]
+        },
+        "nasa": {
+            "href": "http://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite&spatial_type=rectangle&keywords=TL3H2OM",
+            "title": "Direct Download [1]",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TL3HDOD_4.json b/datasets/TL3HDOD_4.json
new file mode 100644
index 0000000000..2bee019439
--- /dev/null
+++ b/datasets/TL3HDOD_4.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "TL3HDOD_4",
+    "stac_version": "1.0.0",
+    "description": "Tropospheric Emission Spectrometer (TES) Aura L3 Deuterium Oxide (HDO) Daily Gridded (TL3HDOD) data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated with in that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613532-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613532-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613532-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613532-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613532-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HDOD_4",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HDOD_4/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/Aura L3 HDO Daily Gridded V004",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -82,
+                    180,
+                    82
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-08-22T00:00:00Z",
+                    "2020-11-20T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/AURA/TES/TL3HDOD_L3.004",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for TL3HDOD_4",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TL3O3D_004.json b/datasets/TL3O3D_004.json
new file mode 100644
index 0000000000..aa85d5444a
--- /dev/null
+++ b/datasets/TL3O3D_004.json
@@ -0,0 +1,119 @@
+{
+    "type": "Collection",
+    "id": "TL3O3D_004",
+    "stac_version": "1.0.0",
+    "description": "The TES Aura L3 O3 data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614279-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614279-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614279-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614279-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614279-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3O3D_004",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3O3D_004/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/Aura L3 O3 Daily Gridded V004",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-08-22T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "gov/TES/TL3ATD": {
+            "href": "ftp://l4ftl01.larc.nasa.gov/TES/TL3ATD.001/",
+            "title": "Direct Download",
+            "roles": [
+                "data"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TLS_Lidar_BlueFlux_Mangroves_2311_1.json b/datasets/TLS_Lidar_BlueFlux_Mangroves_2311_1.json
index cbe9d48f6f..9d540ec934 100644
--- a/datasets/TLS_Lidar_BlueFlux_Mangroves_2311_1.json
+++ b/datasets/TLS_Lidar_BlueFlux_Mangroves_2311_1.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYmlvbWFzcyBhbGxvY2F0aW9uIGFuZCBncm93dGggZGF0YSBvZiBzZWVkZWQgcGxhbnRzXCIsXCJPUk5MX0NMT1VEXCIsXCJiaW9tYXNzX2FsbG9jYXRpb25fNzAzXCIsXCIxXCIsMjc4NDM4MzI4MSwzXSIsInVtbSI6IltcImJpb21hc3MgYWxsb2NhdGlvbiBhbmQgZ3Jvd3RoIGRhdGEgb2Ygc2VlZGVkIHBsYW50c1wiLFwiT1JOTF9DTE9VRFwiLFwiYmlvbWFzc19hbGxvY2F0aW9uXzcwM1wiLFwiMVwiLDI3ODQzODMyODEsM10ifQ%3D%3D/TLS_Lidar_BlueFlux_Mangroves_2311_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYmlvbWFzcyBvZiBzYWNyaWZpY2VkIHNwcnVjZS9hc3BlbiAoc25mKVwiLFwiT1JOTF9DTE9VRFwiLFwiU05GX0JJT01BU1NfMTQxXCIsXCIxXCIsMjg4NDk3MTg1NiwyXSIsInVtbSI6IltcImJpb21hc3Mgb2Ygc2FjcmlmaWNlZCBzcHJ1Y2UvYXNwZW4gKHNuZilcIixcIk9STkxfQ0xPVURcIixcIlNORl9CSU9NQVNTXzE0MVwiLFwiMVwiLDI4ODQ5NzE4NTYsMl0ifQ%3D%3D/TLS_Lidar_BlueFlux_Mangroves_2311_1",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYmlvbWFzcyBhbGxvY2F0aW9uIGFuZCBncm93dGggZGF0YSBvZiBzZWVkZWQgcGxhbnRzXCIsXCJPUk5MX0NMT1VEXCIsXCJiaW9tYXNzX2FsbG9jYXRpb25fNzAzXCIsXCIxXCIsMjc4NDM4MzI4MSwzXSIsInVtbSI6IltcImJpb21hc3MgYWxsb2NhdGlvbiBhbmQgZ3Jvd3RoIGRhdGEgb2Ygc2VlZGVkIHBsYW50c1wiLFwiT1JOTF9DTE9VRFwiLFwiYmlvbWFzc19hbGxvY2F0aW9uXzcwM1wiLFwiMVwiLDI3ODQzODMyODEsM10ifQ%3D%3D/TLS_Lidar_BlueFlux_Mangroves_2311_1/items",
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diff --git a/datasets/TML2CO_001.json b/datasets/TML2CO_001.json
new file mode 100644
index 0000000000..6a61af766d
--- /dev/null
+++ b/datasets/TML2CO_001.json
@@ -0,0 +1,112 @@
+{
+    "type": "Collection",
+    "id": "TML2CO_001",
+    "stac_version": "1.0.0",
+    "description": "Atmospheric vertical profile estimates and associated errors derived using TES & MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614695-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614695-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614695-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614695-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614695-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TML2CO_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TML2CO_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "TES/MLS Aura L2 CO V001",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2004-07-15T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/TRACE-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json b/datasets/TRACE-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json
index e2196813eb..b9bbba21df 100644
--- a/datasets/TRACE-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json
+++ b/datasets/TRACE-A_AircraftRemoteSensing_DC8_DIAL_Data_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/TRACE-A_Brazil_Data_1.json b/datasets/TRACE-A_Brazil_Data_1.json
index 1598a7cb73..7d787f7b32 100644
--- a/datasets/TRACE-A_Brazil_Data_1.json
+++ b/datasets/TRACE-A_Brazil_Data_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/TRACE-A_Merge_Data_1.json b/datasets/TRACE-A_Merge_Data_1.json
index 1b0a19286b..91603ff8ab 100644
--- a/datasets/TRACE-A_Merge_Data_1.json
+++ b/datasets/TRACE-A_Merge_Data_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/TRACE-A_MetNav_AircraftInSitu_DC8_Data_1.json b/datasets/TRACE-A_MetNav_AircraftInSitu_DC8_Data_1.json
index bb48702991..9c0e0bf8ae 100644
--- a/datasets/TRACE-A_MetNav_AircraftInSitu_DC8_Data_1.json
+++ b/datasets/TRACE-A_MetNav_AircraftInSitu_DC8_Data_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/TRACE-A_Satellite_Data_1.json b/datasets/TRACE-A_Satellite_Data_1.json
index 2138744123..d71a79873b 100644
--- a/datasets/TRACE-A_Satellite_Data_1.json
+++ b/datasets/TRACE-A_Satellite_Data_1.json
@@ -42,7 +42,7 @@
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index 9204abe984..315c30aed3 100644
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index 8d9dcd9719..6ca1042343 100644
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index 48d37e7bd5..c91fb2edfd 100644
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index 53deb4d6f0..a55e18d68f 100644
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index b2486d59a5..f669f8edc5 100644
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index f61d082552..1a388b1eeb 100644
--- a/datasets/Tidal_Wetland_Soil_Carbon_1612_1.json
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index e304f1a59e..e59ef726cc 100644
--- a/datasets/TillageErosion_SOCRedistribute_1944_1.json
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index b41e4e25b7..cc3fb0541c 100644
--- a/datasets/Toolik_Lake_Area_Veg_Maps_1380_1.json
+++ b/datasets/Toolik_Lake_Area_Veg_Maps_1380_1.json
@@ -42,7 +42,7 @@
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index a4012c3c3b..6c2455250d 100644
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diff --git a/datasets/TowerBased_PhotoSpec_SIF_SK_CA_1887_1.json b/datasets/TowerBased_PhotoSpec_SIF_SK_CA_1887_1.json
index 9f9859b358..b19301b62e 100644
--- a/datasets/TowerBased_PhotoSpec_SIF_SK_CA_1887_1.json
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index a5f40f2c50..1db9c9f90c 100644
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index 61d8775f9e..acc0c5766a 100644
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diff --git a/datasets/TundraTransect_VegRefl_Soil_2232_1.json b/datasets/TundraTransect_VegRefl_Soil_2232_1.json
index aa4ff714de..8812e64894 100644
--- a/datasets/TundraTransect_VegRefl_Soil_2232_1.json
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index 97caa9e9bc..a5ee5b97c5 100644
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diff --git a/datasets/Tundra_Fire_Veg_Plots_1547_1.json b/datasets/Tundra_Fire_Veg_Plots_1547_1.json
index ba9b773001..6f8027c592 100644
--- a/datasets/Tundra_Fire_Veg_Plots_1547_1.json
+++ b/datasets/Tundra_Fire_Veg_Plots_1547_1.json
@@ -42,7 +42,7 @@
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index b0372491a3..ad3a0141c6 100644
--- a/datasets/Tundra_Leaf_Spectra_2005_1.json
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index 70b62ba629..bc68748cfb 100644
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index 9cafa8b07b..ddd5fa200a 100644
--- a/datasets/UAEMIALS_002.json
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diff --git a/datasets/UAEMITAL_002.json b/datasets/UAEMITAL_002.json
index c3408b4eff..2586d4389a 100644
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diff --git a/datasets/UAVSAR_INSAR_INT_1.json b/datasets/UAVSAR_INSAR_INT_1.json
index 5f8c4b45cc..99e12bb0ee 100644
--- a/datasets/UAVSAR_INSAR_INT_1.json
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index 9568c0583e..014aa92d61 100644
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index cd66a970d9..907f24a7be 100644
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index e14a52f872..48ee7b9640 100644
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index c567556b28..d4127d3bf1 100644
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diff --git a/datasets/USArray_Ground_Temperature_1680_1.1.json b/datasets/USArray_Ground_Temperature_1680_1.1.json
index 23a137458d..92e838c9b3 100644
--- a/datasets/USArray_Ground_Temperature_1680_1.1.json
+++ b/datasets/USArray_Ground_Temperature_1680_1.1.json
@@ -42,7 +42,7 @@
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         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNhci1iYXNlZCBtZXRoYW5lIGVidWxsaXRpb24gZmx1eCBmcm9tIGxha2VzLCBmaXZlIHJlZ2lvbnMsIGFsYXNrYSwgMjAwNy0yMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJTQVJfTWV0aGFuZV9FYnVsbGl0aW9uX0FLXzE3OTBcIixcIjFcIiwyMTQzNDAxOTAxLDZdIiwidW1tIjoiW1wiYWJvdmU6IHNhci1iYXNlZCBtZXRoYW5lIGVidWxsaXRpb24gZmx1eCBmcm9tIGxha2VzLCBmaXZlIHJlZ2lvbnMsIGFsYXNrYSwgMjAwNy0yMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJTQVJfTWV0aGFuZV9FYnVsbGl0aW9uX0FLXzE3OTBcIixcIjFcIiwyMTQzNDAxOTAxLDZdIn0%3D/USArray_Ground_Temperature_1680_1.1",
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             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
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         {
             "rel": "items",
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+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/USArray_Ground_Temperature_1680_1.1/items",
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diff --git a/datasets/UTCPoleT_001.json b/datasets/UTCPoleT_001.json
new file mode 100644
index 0000000000..9c7523f975
--- /dev/null
+++ b/datasets/UTCPoleT_001.json
@@ -0,0 +1,120 @@
+{
+    "type": "Collection",
+    "id": "UTCPoleT_001",
+    "stac_version": "1.0.0",
+    "description": "ECS internal format for daily values of UT1 - UTC and the x and y components of polar motion. From 1972 onwards. Flag for final or predicted data. One sigma error for each item.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425376-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425376-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425376-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425376-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425376-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtcCBwLTNiIHBob3RvbHlzaXMgZnJlcXVlbmNpZXMgKGotdmFsdWVzKVwiLFwiTEFSQ19DTE9VRFwiLFwiVFJBQ0UtUF9qVmFsdWVfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTY5MjYyLDddIiwidW1tIjoiW1widHJhY2UtcCBwLTNiIHBob3RvbHlzaXMgZnJlcXVlbmNpZXMgKGotdmFsdWVzKVwiLFwiTEFSQ19DTE9VRFwiLFwiVFJBQ0UtUF9qVmFsdWVfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTY5MjYyLDddIn0%3D/UTCPoleT_001",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtcCBwLTNiIHBob3RvbHlzaXMgZnJlcXVlbmNpZXMgKGotdmFsdWVzKVwiLFwiTEFSQ19DTE9VRFwiLFwiVFJBQ0UtUF9qVmFsdWVfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTY5MjYyLDddIiwidW1tIjoiW1widHJhY2UtcCBwLTNiIHBob3RvbHlzaXMgZnJlcXVlbmNpZXMgKGotdmFsdWVzKVwiLFwiTEFSQ19DTE9VRFwiLFwiVFJBQ0UtUF9qVmFsdWVfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTY5MjYyLDddIn0%3D/UTCPoleT_001/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "UT1 - UTC and Polar Motion - ECS internal format for Toolkit V 001 Non-orderable",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "1990-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "provider_metadata": {
+            "href": "https://asdc.larc.nasa.gov/project/MISR",
+            "title": "Provider Metadata",
+            "description": "MISR Data Product Landing Page ",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/Umiat_Veg_Plots_1370_1.json b/datasets/Umiat_Veg_Plots_1370_1.json
index c5a9264d19..5a95e520bd 100644
--- a/datasets/Umiat_Veg_Plots_1370_1.json
+++ b/datasets/Umiat_Veg_Plots_1370_1.json
@@ -42,7 +42,7 @@
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         {
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             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
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         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMgYXQgYXJyaWdldGNoIHBlYWtzLCBhbGFza2EsIDE5NzgtMTk4MVwiLFwiT1JOTF9DTE9VRFwiLFwiQXJyaWdldGNoX1BlYWtzX1ZlZ19QbG90c18xMzU4XCIsXCIxXCIsMjE3MDk2OTU2MCw1XSIsInVtbSI6IltcImFyY3RpYyB2ZWdldGF0aW9uIHBsb3RzIGF0IGFycmlnZXRjaCBwZWFrcywgYWxhc2thLCAxOTc4LTE5ODFcIixcIk9STkxfQ0xPVURcIixcIkFycmlnZXRjaF9QZWFrc19WZWdfUGxvdHNfMTM1OFwiLFwiMVwiLDIxNzA5Njk1NjAsNV0ifQ%3D%3D/Umiat_Veg_Plots_1370_1/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMgYXQgYXRxYXN1aywgYWxhc2thLCAxOTc1LCAyMDAwLCBhbmQgMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiQXRxYXN1a19WZWdfUGxvdHNfMTM3MVwiLFwiMVwiLDIxNzA5Njk4ODQsNV0iLCJ1bW0iOiJbXCJhcmN0aWMgdmVnZXRhdGlvbiBwbG90cyBhdCBhdHFhc3VrLCBhbGFza2EsIDE5NzUsIDIwMDAsIGFuZCAyMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJBdHFhc3VrX1ZlZ19QbG90c18xMzcxXCIsXCIxXCIsMjE3MDk2OTg4NCw1XSJ9/Umiat_Veg_Plots_1370_1/items",
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diff --git a/datasets/Unalaska_Veg_Plots_1375_1.json b/datasets/Unalaska_Veg_Plots_1375_1.json
index 21bf13c0f8..b9a3314178 100644
--- a/datasets/Unalaska_Veg_Plots_1375_1.json
+++ b/datasets/Unalaska_Veg_Plots_1375_1.json
@@ -42,7 +42,7 @@
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         {
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@@ -53,7 +53,7 @@
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+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMgYXQgYXRxYXN1aywgYWxhc2thLCAxOTc1LCAyMDAwLCBhbmQgMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiQXRxYXN1a19WZWdfUGxvdHNfMTM3MVwiLFwiMVwiLDIxNzA5Njk4ODQsNV0iLCJ1bW0iOiJbXCJhcmN0aWMgdmVnZXRhdGlvbiBwbG90cyBhdCBhdHFhc3VrLCBhbGFza2EsIDE5NzUsIDIwMDAsIGFuZCAyMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJBdHFhc3VrX1ZlZ19QbG90c18xMzcxXCIsXCIxXCIsMjE3MDk2OTg4NCw1XSJ9/Unalaska_Veg_Plots_1375_1/items",
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diff --git a/datasets/Uncertainty_US_Coastal_GHG_1650_1.json b/datasets/Uncertainty_US_Coastal_GHG_1650_1.json
index 8c176c7ee2..9c8ca148d5 100644
--- a/datasets/Uncertainty_US_Coastal_GHG_1650_1.json
+++ b/datasets/Uncertainty_US_Coastal_GHG_1650_1.json
@@ -42,7 +42,7 @@
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         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBzaW11bGF0ZWQgcGh5c2ljYWwtYmlvZ2VvY2hlbWljYWwgZGF0YSwgc2FiZ29tIG1vZGVsLCBndWxmIG9mIG1leGljbywgMjAwNS0yMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU0FCR09NX01vZGVsX1NpbXVsYXRpb25zXzE1MTBcIixcIjFcIiwyMzg5MDgyODE5LDZdIiwidW1tIjoiW1wiY21zOiBzaW11bGF0ZWQgcGh5c2ljYWwtYmlvZ2VvY2hlbWljYWwgZGF0YSwgc2FiZ29tIG1vZGVsLCBndWxmIG9mIG1leGljbywgMjAwNS0yMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU0FCR09NX01vZGVsX1NpbXVsYXRpb25zXzE1MTBcIixcIjFcIiwyMzg5MDgyODE5LDZdIn0%3D/Uncertainty_US_Coastal_GHG_1650_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBzb2lsIGNvMiBlZmZsdXggYW5kIHByb3BlcnRpZXMsIHNpdGUgdmVnZXRhdGlvbiBtZWFzdXJlbWVudHMsIG1leGljbywgMjAxMS0yMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU29pbF9DTzJfRWZmbHV4XzEyOThcIixcIjFcIiwyMzQzMTA1NzgyLDVdIiwidW1tIjoiW1wiY21zOiBzb2lsIGNvMiBlZmZsdXggYW5kIHByb3BlcnRpZXMsIHNpdGUgdmVnZXRhdGlvbiBtZWFzdXJlbWVudHMsIG1leGljbywgMjAxMS0yMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU29pbF9DTzJfRWZmbHV4XzEyOThcIixcIjFcIiwyMzQzMTA1NzgyLDVdIn0%3D/Uncertainty_US_Coastal_GHG_1650_1",
             "type": "application/json"
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         {
@@ -53,7 +53,7 @@
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index 51c87f99cf..a5cb9b8a1c 100644
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index 329fff7402..321b712c40 100644
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index b71a85f623..f20b069c51 100644
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diff --git a/datasets/VNP09A1_001.json b/datasets/VNP09A1_001.json
index 5542d3e5fe..c287b6804d 100644
--- a/datasets/VNP09A1_001.json
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@@ -121,7 +121,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/VNP09A1_002.json b/datasets/VNP09A1_002.json
index 156301ac84..87db485700 100644
--- a/datasets/VNP09A1_002.json
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@@ -113,7 +113,7 @@
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diff --git a/datasets/VNP09GA_001.json b/datasets/VNP09GA_001.json
index be54794259..6b51b51166 100644
--- a/datasets/VNP09GA_001.json
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diff --git a/datasets/VNP09GA_002.json b/datasets/VNP09GA_002.json
index ec70c86089..8813e4c113 100644
--- a/datasets/VNP09GA_002.json
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diff --git a/datasets/VNP09H1_001.json b/datasets/VNP09H1_001.json
index 6841088e52..137f119a66 100644
--- a/datasets/VNP09H1_001.json
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diff --git a/datasets/VNP09H1_002.json b/datasets/VNP09H1_002.json
index 165778b315..cdd782c310 100644
--- a/datasets/VNP09H1_002.json
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@@ -113,7 +113,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index 77219db010..c57a3baa08 100644
--- a/datasets/VNP10A1F_1.json
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index b80d976a6f..6c64941046 100644
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index ebf07c5bab..4589627ce7 100644
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index 276f3f13cc..f2923f6310 100644
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index 921e882f72..e635641cbb 100644
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diff --git a/datasets/VNP10_2.json b/datasets/VNP10_2.json
index 67973784eb..9e8f193097 100644
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index 2da166610d..103474b6f7 100644
--- a/datasets/VNP13A1_001.json
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/VNP13A1_002.json b/datasets/VNP13A1_002.json
index 27ee9eae56..fd16f48e5b 100644
--- a/datasets/VNP13A1_002.json
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@@ -113,7 +113,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index 3339cad4c7..cee6b6b7bd 100644
--- a/datasets/VNP13A2_001.json
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@@ -121,7 +121,7 @@
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index 6719217e4a..a63eecd970 100644
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/VNP13A3_001.json b/datasets/VNP13A3_001.json
index 1e3ee99dae..c4d25095b7 100644
--- a/datasets/VNP13A3_001.json
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@@ -121,7 +121,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index 2e9421e0d9..4834fa81fc 100644
--- a/datasets/VNP13A3_002.json
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@@ -113,7 +113,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/VNP14A1_001.json b/datasets/VNP14A1_001.json
index 12c8928e4c..4db1ae9f8a 100644
--- a/datasets/VNP14A1_001.json
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@@ -121,7 +121,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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index 7c63b8d228..b9b09fba2e 100644
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/VNP14IMG_002.json b/datasets/VNP14IMG_002.json
index 800568be76..c74b38486f 100644
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diff --git a/datasets/VNP15A2H_001.json b/datasets/VNP15A2H_001.json
index c8171a4808..53fd66151b 100644
--- a/datasets/VNP15A2H_001.json
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@@ -121,7 +121,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/VNP15A2H_002.json b/datasets/VNP15A2H_002.json
index 22a60ac1fb..a627955e19 100644
--- a/datasets/VNP15A2H_002.json
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@@ -113,7 +113,7 @@
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-            "description": "The Application for Extracting and Exploring Analysis Ready Samples (A\u03c1\u03c1EEARS) offers a simple and efficient way to perform data access and transformation processes.",
+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/VNP21A1D_001.json b/datasets/VNP21A1D_001.json
index c3869866b9..064f496470 100644
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@@ -121,7 +121,7 @@
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/VNP21A1D_002.json b/datasets/VNP21A1D_002.json
index 5e5d95df74..585f984ca0 100644
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@@ -42,7 +42,7 @@
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index 90d29c0afe..ecad7312f6 100644
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index c2fff5bccd..73a1dd7224 100644
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index fdb44132e6..c6fa8b4c20 100644
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index 5cac15087e..c4324720fb 100644
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             "roles": [
                 "data"
             ]
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index a060898afb..fa08e33cca 100644
--- a/datasets/VNP29P1D_2.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/VNP29_1.json b/datasets/VNP29_1.json
index a9176c79cb..7525aadff8 100644
--- a/datasets/VNP29_1.json
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index b41e7d8f6a..d421993dfb 100644
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index 16ddfdd77d..ff2193dec8 100644
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index 74da7517f5..4a8b16197a 100644
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diff --git a/datasets/VNP30_2.json b/datasets/VNP30_2.json
index ec6b156f2e..b58ec8a4e6 100644
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index cc6bed0ff0..c7a364e5df 100644
--- a/datasets/VNP43IA1_001.json
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index 3e27b2237d..f864c7c91f 100644
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index b03c7763ea..0ae745d40f 100644
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index 07ec633ff3..6cf84172af 100644
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index 401f18da9a..0f70ebf4a8 100644
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index c30a2117e6..a1f8824955 100644
--- a/datasets/VNP43MA2_001.json
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+            "description": "The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes.",
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diff --git a/datasets/VNP43MA3_001.json b/datasets/VNP43MA3_001.json
index c13f519504..197ee75db9 100644
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index ef5baff954..b7644a8550 100644
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index e92806bc24..d6e7d771c2 100644
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index 3911d9e26c..c99d08c4f5 100644
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index 6e03416964..8845ae4822 100644
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index 2908ec7de9..6999595914 100644
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index 6ca66107f9..2978d43588 100644
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index 06faf5c99b..3a2054ce62 100644
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index a70d463f61..7961cd4a4f 100644
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index cacc6c73c8..e137cb96d0 100644
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index 338a90d09c..f11182efe8 100644
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index 460f1150a5..d05a2d8a03 100644
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index ea27f6f414..20d9f1c958 100644
--- a/datasets/Wildfires_NWT_Canada_2018_1703_1.json
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index acfb19bcbb..6e1da90e10 100644
--- a/datasets/Wildfires_NWT_Canada_2019_1900_1.json
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index c318bb0457..cad41e6589 100644
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index c6694f69cb..b9c475d3a6 100644
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index df16c0f122..7155d62827 100644
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index 65cbf49df5..f64ed744cd 100644
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diff --git a/datasets/ZoblerSoil_418_1.json b/datasets/ZoblerSoil_418_1.json
index 4d7b55167a..d2c293a1a8 100644
--- a/datasets/ZoblerSoil_418_1.json
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@@ -42,7 +42,7 @@
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index 34e5b55b56..2627143f41 100644
--- a/datasets/aes5davg_236_1.json
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diff --git a/datasets/aes_upl1_238_1.json b/datasets/aes_upl1_238_1.json
index d1bbb835ab..28314ad957 100644
--- a/datasets/aes_upl1_238_1.json
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diff --git a/datasets/aes_upl2_239_1.json b/datasets/aes_upl2_239_1.json
index 2fdf55ff58..677f63955c 100644
--- a/datasets/aes_upl2_239_1.json
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index 7e9214675f..44cc3cbe0e 100644
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diff --git a/datasets/afm06ptd_241_1.json b/datasets/afm06ptd_241_1.json
index db05941fff..e75c49a67b 100644
--- a/datasets/afm06ptd_241_1.json
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index 6fa2ee0e74..e3e55604fe 100644
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index eb76216821..0ffc3d2507 100644
--- a/datasets/afm06smd_243_1.json
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index f83d1b2d19..b0e8ea7a77 100644
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index 31a8e6994e..fec9b75d20 100644
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diff --git a/datasets/afm2as94_494_1.json b/datasets/afm2as94_494_1.json
index 8449b7eecf..30bbcf1c93 100644
--- a/datasets/afm2as94_494_1.json
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diff --git a/datasets/afm3as94_496_1.json b/datasets/afm3as94_496_1.json
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diff --git a/datasets/afm3mw94_495_1.json b/datasets/afm3mw94_495_1.json
index 6e95851b9f..52ed46f7ca 100644
--- a/datasets/afm3mw94_495_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/afm4toas_498_1.json b/datasets/afm4toas_498_1.json
index 513e2816ec..e2150812bc 100644
--- a/datasets/afm4toas_498_1.json
+++ b/datasets/afm4toas_498_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/afm4tofx_497_1.json b/datasets/afm4tofx_497_1.json
index 8243212905..1964be6f28 100644
--- a/datasets/afm4tofx_497_1.json
+++ b/datasets/afm4tofx_497_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/afm6gifs_433_1.json b/datasets/afm6gifs_433_1.json
index 3cc8a792fe..42519d68a2 100644
--- a/datasets/afm6gifs_433_1.json
+++ b/datasets/afm6gifs_433_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/african_woody_savanna_850_1.json b/datasets/african_woody_savanna_850_1.json
index a8e75a850e..6dd4ac6c96 100644
--- a/datasets/african_woody_savanna_850_1.json
+++ b/datasets/african_woody_savanna_850_1.json
@@ -42,7 +42,7 @@
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index c880d8f316..9c5bba9984 100644
--- a/datasets/air_sea_gas_exchange_xdeg_1208_1.json
+++ b/datasets/air_sea_gas_exchange_xdeg_1208_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/airscm3b_448_1.json b/datasets/airscm3b_448_1.json
index 2566fd7594..0a6d70d3f4 100644
--- a/datasets/airscm3b_448_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/airssy3b_507_1.json b/datasets/airssy3b_507_1.json
index 656332a32b..393192fa1e 100644
--- a/datasets/airssy3b_507_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/amazon_precip_228_1.json b/datasets/amazon_precip_228_1.json
index 75a0c58794..043d5ed006 100644
--- a/datasets/amazon_precip_228_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/ams_cs93_403_1.json b/datasets/ams_cs93_403_1.json
index d278d11906..97135742a4 100644
--- a/datasets/ams_cs93_403_1.json
+++ b/datasets/ams_cs93_403_1.json
@@ -42,7 +42,7 @@
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index f47e07e770..7d2217aeca 100644
--- a/datasets/ams_cs94_404_1.json
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@@ -42,7 +42,7 @@
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index 5b60609d62..d2a4f92053 100644
--- a/datasets/ams_cs95_405_1.json
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index 351a2c6cb4..98b164f5db 100644
--- a/datasets/ams_cs96_406_1.json
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index d0708a1368..09332a5814 100644
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index c874f819e3..0dd7a9e9f7 100644
--- a/datasets/asas_l1b_562_1.json
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diff --git a/datasets/asasrefl_287_1.json b/datasets/asasrefl_287_1.json
index b264214728..a236cc5468 100644
--- a/datasets/asasrefl_287_1.json
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@@ -42,7 +42,7 @@
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index c6aa34e525..d641bf14ad 100644
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index 4ce3c5361f..d6e000865f 100644
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diff --git a/datasets/avhrrl4c_439_1.json b/datasets/avhrrl4c_439_1.json
index 4d022f985c..e3609b2cec 100644
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index 0a5027a68c..57ed3f615e 100644
--- a/datasets/boreas_aeshrday_235_2.json
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index 13a0df1a0c..eeac41976b 100644
--- a/datasets/c4_percent_1deg_932_1.json
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index d32022160c..a729e182f9 100644
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index e84d11b389..c99ed0cff5 100644
--- a/datasets/century_vemap_m4_820_1.json
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index e220e76138..72ff888fec 100644
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+++ b/datasets/chem_26_1.json
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diff --git a/datasets/co2_emissions_1deg_1021_1.json b/datasets/co2_emissions_1deg_1021_1.json
index cd41be42b2..65b978dd38 100644
--- a/datasets/co2_emissions_1deg_1021_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/combined_ancillary_xdeg_1200_1.json b/datasets/combined_ancillary_xdeg_1200_1.json
index 8103c14c03..5d37385710 100644
--- a/datasets/combined_ancillary_xdeg_1200_1.json
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diff --git a/datasets/comp_runoff_monthly_xdeg_994_1.json b/datasets/comp_runoff_monthly_xdeg_994_1.json
index ecf240a20e..acd649b6a4 100644
--- a/datasets/comp_runoff_monthly_xdeg_994_1.json
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diff --git a/datasets/cru_monthly_climate_xdeg_1014_1.json b/datasets/cru_monthly_climate_xdeg_1014_1.json
index 67f9d886f5..9f4d9ce95d 100644
--- a/datasets/cru_monthly_climate_xdeg_1014_1.json
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@@ -42,7 +42,7 @@
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index 6c57c77b3f..a4d3f81d85 100644
--- a/datasets/cru_monthly_mean_xdeg_1015_1.json
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index 6f764eade7..be07b856af 100644
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index fa40b72c9d..52b372e6e4 100644
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index 0c9a55e3e6..32461b9abf 100644
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index c9d4719bd3..48e7f93d01 100644
--- a/datasets/ecosystem_roots_1deg_929_1.json
+++ b/datasets/ecosystem_roots_1deg_929_1.json
@@ -42,7 +42,7 @@
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index 92d062e19f..b4a80939f6 100644
--- a/datasets/edc_landcover_xdeg_930_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/edgar_atmos_emissions_1deg_1022_1.json b/datasets/edgar_atmos_emissions_1deg_1022_1.json
index 721fe7224e..28c88aa113 100644
--- a/datasets/edgar_atmos_emissions_1deg_1022_1.json
+++ b/datasets/edgar_atmos_emissions_1deg_1022_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/elev_arc_250_1.json b/datasets/elev_arc_250_1.json
index d27f2699c8..3815775833 100644
--- a/datasets/elev_arc_250_1.json
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@@ -42,7 +42,7 @@
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index e790fe9ff3..269899bfc0 100644
--- a/datasets/er2flog_501_1.json
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diff --git a/datasets/erbe_albedo_monthly_xdeg_957_1.json b/datasets/erbe_albedo_monthly_xdeg_957_1.json
index f350d4df61..f0d83ce7e3 100644
--- a/datasets/erbe_albedo_monthly_xdeg_957_1.json
+++ b/datasets/erbe_albedo_monthly_xdeg_957_1.json
@@ -42,7 +42,7 @@
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index e34e8460c8..0e3ff2a1ef 100644
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index 5478845c82..1d430cc8ec 100644
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index a509af7f39..012e389069 100644
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index 8c308e6cc5..c29f3ba00a 100644
--- a/datasets/fhstmanv_387_1.json
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index c9f166b582..78226eeb7e 100644
--- a/datasets/fife_AF_dtrnd_nae_3_1.json
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@@ -42,7 +42,7 @@
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index c3761e48a6..342f34e728 100644
--- a/datasets/fife_AF_dtrnd_ncar_5_1.json
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@@ -42,7 +42,7 @@
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index c99c53306d..45c8a7d715 100644
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index 3f7ead9c2d..351b738a3b 100644
--- a/datasets/fife_AF_filtr_nae_6_1.json
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@@ -42,7 +42,7 @@
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index 8c76ac1d02..26852188cf 100644
--- a/datasets/fife_AF_filtr_ncar_8_1.json
+++ b/datasets/fife_AF_filtr_ncar_8_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_AF_filtr_wyo_7_1.json b/datasets/fife_AF_filtr_wyo_7_1.json
index c5ebc3c850..a8832413e9 100644
--- a/datasets/fife_AF_filtr_wyo_7_1.json
+++ b/datasets/fife_AF_filtr_wyo_7_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_AF_raw_nae_9_1.json b/datasets/fife_AF_raw_nae_9_1.json
index b97f5024c7..4e80591b6a 100644
--- a/datasets/fife_AF_raw_nae_9_1.json
+++ b/datasets/fife_AF_raw_nae_9_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_AF_raw_ncar_11_1.json b/datasets/fife_AF_raw_ncar_11_1.json
index 6ab54712ae..1b5d507dff 100644
--- a/datasets/fife_AF_raw_ncar_11_1.json
+++ b/datasets/fife_AF_raw_ncar_11_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_AF_raw_wyo_10_1.json b/datasets/fife_AF_raw_wyo_10_1.json
index 3bd978aa3a..1cc3c26d9e 100644
--- a/datasets/fife_AF_raw_wyo_10_1.json
+++ b/datasets/fife_AF_raw_wyo_10_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_atmos_brut_drv_14_1.json b/datasets/fife_atmos_brut_drv_14_1.json
index 715e3aee25..3f5c9656a7 100644
--- a/datasets/fife_atmos_brut_drv_14_1.json
+++ b/datasets/fife_atmos_brut_drv_14_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_atmos_brut_son_15_1.json b/datasets/fife_atmos_brut_son_15_1.json
index c220001226..6944b79282 100644
--- a/datasets/fife_atmos_brut_son_15_1.json
+++ b/datasets/fife_atmos_brut_son_15_1.json
@@ -42,7 +42,7 @@
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index 55dd76aa85..95bf403886 100644
--- a/datasets/fife_atmos_lidar_ht_17_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_atmos_ncdc_son_13_1.json b/datasets/fife_atmos_ncdc_son_13_1.json
index cd43737b0c..57893999eb 100644
--- a/datasets/fife_atmos_ncdc_son_13_1.json
+++ b/datasets/fife_atmos_ncdc_son_13_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_atmos_noaa_tov_16_1.json b/datasets/fife_atmos_noaa_tov_16_1.json
index 725776334e..66bf8779cc 100644
--- a/datasets/fife_atmos_noaa_tov_16_1.json
+++ b/datasets/fife_atmos_noaa_tov_16_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_atmos_sodar_18_1.json b/datasets/fife_atmos_sodar_18_1.json
index e440e20dec..08018a3326 100644
--- a/datasets/fife_atmos_sodar_18_1.json
+++ b/datasets/fife_atmos_sodar_18_1.json
@@ -42,7 +42,7 @@
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index e112b3ec54..fe45d49e2e 100644
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index b3506d5cd5..64dec1fd92 100644
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index 7b9d7bb8df..3699d0fd0d 100644
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index b932588cdf..a2bb031d1a 100644
--- a/datasets/fife_biology_pho_leaf_46_1.json
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index 46718cdfc9..e44f6195fd 100644
--- a/datasets/fife_biology_soil_co2_105_1.json
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index 0d9c4d9d68..c7f24c549d 100644
--- a/datasets/fife_biology_soil_gas_106_1.json
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index eb3315afaf..8207494f1e 100644
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index 5df9e8e33c..11815cf048 100644
--- a/datasets/fife_hydrology_strm_st_120_1.json
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index 445d98273d..084ff95c62 100644
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index 9743160bbb..abdb9877cc 100644
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index 5f8480bd54..eab02f06a6 100644
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index 29523ecc3f..aba8572721 100644
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diff --git a/datasets/fife_soilmstr_sm_tran_113_1.json b/datasets/fife_soilmstr_sm_tran_113_1.json
index a5deefbcbc..a4edf3b803 100644
--- a/datasets/fife_soilmstr_sm_tran_113_1.json
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@@ -42,7 +42,7 @@
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index 1fcc707ea4..5206bdba75 100644
--- a/datasets/fife_soilmstr_soil_imp_108_1.json
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index dca11b6326..119506bbfe 100644
--- a/datasets/fife_soilprop_soil_h2o_117_1.json
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index 21d6b5eb15..e554400e34 100644
--- a/datasets/fife_soilprop_soil_rel_112_1.json
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@@ -42,7 +42,7 @@
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index d891f1ad18..87dc83f140 100644
--- a/datasets/fife_soilprop_soildens_104_1.json
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index 17f3bdbbf1..9feff9e2b5 100644
--- a/datasets/fife_soilprop_soilhydc_107_1.json
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index b661b154c3..8dbad7529f 100644
--- a/datasets/fife_soilprop_soilsurv_115_1.json
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index 49e6a07e6a..4610e49a1e 100644
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index eac2af0b0a..251a7f6fcb 100644
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index 6e98efeaff..d5dbe4488f 100644
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index bef19f06de..36746b815f 100644
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diff --git a/datasets/fife_sur_flux_30_min_brs_22_1.json b/datasets/fife_sur_flux_30_min_brs_22_1.json
index 871915c568..46f1494a63 100644
--- a/datasets/fife_sur_flux_30_min_brs_22_1.json
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index afc313526e..2ce0923445 100644
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index fd6c2ac7cd..d9991ea03c 100644
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index 35a5d69ac4..ee9787df53 100644
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index 7be58956e2..0fca3b03fe 100644
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diff --git a/datasets/fife_sur_flux_30_min_ecg_31_1.json b/datasets/fife_sur_flux_30_min_ecg_31_1.json
index 3a0b282fce..c7b75d0fd5 100644
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@@ -42,7 +42,7 @@
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index bdb784d38d..4a94d73276 100644
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index 98a8756c82..58b175a178 100644
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diff --git a/datasets/fife_sur_flux_basel_92_121_1.json b/datasets/fife_sur_flux_basel_92_121_1.json
index de222f3c3d..534280760f 100644
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index c5c0e43ec6..035055fb44 100644
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index 4285bd96ac..be3e1c8b9f 100644
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index 58f91da5ad..522dea6c70 100644
--- a/datasets/fife_sur_met_hday_met_39_1.json
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diff --git a/datasets/fife_sur_met_hmon_met_40_1.json b/datasets/fife_sur_met_hmon_met_40_1.json
index afa8ed9c56..1b7bf28ac3 100644
--- a/datasets/fife_sur_met_hmon_met_40_1.json
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index 2c7c91422f..b08c1796af 100644
--- a/datasets/fife_sur_met_ncdc_sur_122_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/fife_sur_met_rain_day_29_1.json b/datasets/fife_sur_met_rain_day_29_1.json
index 5c8fbc3466..89a72a4621 100644
--- a/datasets/fife_sur_met_rain_day_29_1.json
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@@ -42,7 +42,7 @@
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index 041ec333aa..363565b811 100644
--- a/datasets/fife_sur_refl_gem_helo_38_1.json
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index c20383413d..c76c87c94b 100644
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index 4a2b4b1f35..f3f7933663 100644
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index 5f157a6715..69a94f6706 100644
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index 7f43242fd2..4ae3db4353 100644
--- a/datasets/fife_sur_refl_soilrefl_114_1.json
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index e1c4a16a0f..5acab7728d 100644
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index e9feb755fd..a4836419b5 100644
--- a/datasets/fife_sur_refl_unl_surf_123_1.json
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index fc77ce8a90..ecb8fb37f5 100644
--- a/datasets/fire_emissions_v4_R1_1293_4.1.json
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diff --git a/datasets/fluxnet_point_1029_1.json b/datasets/fluxnet_point_1029_1.json
index e012af11ec..af85ef7a23 100644
--- a/datasets/fluxnet_point_1029_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/forest_carbon_flux_949_1.json b/datasets/forest_carbon_flux_949_1.json
index 34d5421a7e..c4a4c82213 100644
--- a/datasets/forest_carbon_flux_949_1.json
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@@ -42,7 +42,7 @@
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-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2VvYm90YW5pY2FsIGFuZCBpbXBhY3QgbWFwIGNvbGxlY3Rpb24gZm9yIHBydWRob2UgYmF5IG9pbGZpZWxkLCBhbGFza2EsIDE5NzItMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiUHJ1ZGhvZV9CYXlfVmVnX01hcHNfMTM4N1wiLFwiMVwiLDIxNjI2MTYwNzEsNl0iLCJ1bW0iOiJbXCJnZW9ib3RhbmljYWwgYW5kIGltcGFjdCBtYXAgY29sbGVjdGlvbiBmb3IgcHJ1ZGhvZSBiYXkgb2lsZmllbGQsIGFsYXNrYSwgMTk3Mi0yMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJQcnVkaG9lX0JheV9WZWdfTWFwc18xMzg3XCIsXCIxXCIsMjE2MjYxNjA3MSw2XSJ9/forest_carbon_flux_949_1/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2VvZWNvbG9neTogY291bnR5LWxldmVsIGVudmlyb25tZW50YWwgZGF0YSBmb3IgdGhlIHVuaXRlZCBzdGF0ZXMsIDE5NDEtMTk4MVwiLFwiT1JOTF9DTE9VRFwiLFwiZ2VvZWNvbG9neV9SMV82NTZcIixcIjFcIiwyNzYxNzYyODk1LDJdIiwidW1tIjoiW1wiZ2VvZWNvbG9neTogY291bnR5LWxldmVsIGVudmlyb25tZW50YWwgZGF0YSBmb3IgdGhlIHVuaXRlZCBzdGF0ZXMsIDE5NDEtMTk4MVwiLFwiT1JOTF9DTE9VRFwiLFwiZ2VvZWNvbG9neV9SMV82NTZcIixcIjFcIiwyNzYxNzYyODk1LDJdIn0%3D/forest_carbon_flux_949_1/items",
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         }
     ],
diff --git a/datasets/g3blsp_051.json b/datasets/g3blsp_051.json
new file mode 100644
index 0000000000..5adf29e085
--- /dev/null
+++ b/datasets/g3blsp_051.json
@@ -0,0 +1,112 @@
+{
+    "type": "Collection",
+    "id": "g3blsp_051",
+    "stac_version": "1.0.0",
+    "description": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF-EOS) V5.1 is a Level 2 data file containing all the species products for a single lunar event. Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III-ISS) is the second instrument from the SAGE III project, externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796507-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796507-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796507-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796507-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796507-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blsp_051",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blsp_051/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF-EOS) V051",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-03-17T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3blsp_5.json b/datasets/g3blsp_5.json
new file mode 100644
index 0000000000..792708ea37
--- /dev/null
+++ b/datasets/g3blsp_5.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3blsp_5",
+    "stac_version": "1.0.0",
+    "description": "g3blsp_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF-EOS) Version 5 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796623-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796623-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796623-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796623-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796623-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blsp_5",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blsp_5/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF-EOS) V005",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-01T00:00:00Z",
+                    "2017-12-29T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1444757974-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3blsp_5 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3blsp": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3blsp.005/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3blsp_5",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/LUNAR_HDF4_L2-V5.0",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3blsp_5",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3blspb_5.json b/datasets/g3blspb_5.json
new file mode 100644
index 0000000000..be90dfc2b6
--- /dev/null
+++ b/datasets/g3blspb_5.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3blspb_5",
+    "stac_version": "1.0.0",
+    "description": "g3blspb_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) Version 5 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796958-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796958-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796958-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796958-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796958-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blspb_5",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blspb_5/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L2 Lunar Event Species Profiles (Native) V005",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-01T00:00:00Z",
+                    "2017-12-29T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1444757938-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3blspb_5 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3blspb": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3blspb.005/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3blspb_5",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/LUNAR_BINARY_L2-V5.0",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3blspb_5",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3blspb_51.json b/datasets/g3blspb_51.json
new file mode 100644
index 0000000000..17d15e5b2c
--- /dev/null
+++ b/datasets/g3blspb_51.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3blspb_51",
+    "stac_version": "1.0.0",
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+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796803-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796803-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796803-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796803-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796803-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blspb_51",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blspb_51/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L2 Lunar Event Species Profiles (Native) V051",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-01T00:00:00Z",
+                    "2021-02-28T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1576312416-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for G3BLSPB_51 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3blspb": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3blspb.051/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3blspb_51",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/LUNAR_BINARY_L2-V5.1",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3blspb_51",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3bssmc_52.json b/datasets/g3bssmc_52.json
new file mode 100644
index 0000000000..2bd7adf0a5
--- /dev/null
+++ b/datasets/g3bssmc_52.json
@@ -0,0 +1,112 @@
+{
+    "type": "Collection",
+    "id": "g3bssmc_52",
+    "stac_version": "1.0.0",
+    "description": "g3bssmc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Raw SSMC data file. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797316-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797316-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797316-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797316-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797316-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/g3bssmc_52",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/g3bssmc_52/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS SSMC data file",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-07T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3bssmc_53.json b/datasets/g3bssmc_53.json
new file mode 100644
index 0000000000..136221dc29
--- /dev/null
+++ b/datasets/g3bssmc_53.json
@@ -0,0 +1,112 @@
+{
+    "type": "Collection",
+    "id": "g3bssmc_53",
+    "stac_version": "1.0.0",
+    "description": "SAGE III/ISS, Raw Level 0 Data V5.3 consists of Raw Level 0 data received from Mission Operations Center. Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III-ISS) is the second instrument from the SAGE III project, externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797255-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797255-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797255-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797255-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797255-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/g3bssmc_53",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/g3bssmc_53/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS, Raw Level 0 Data V053",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-03-17T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3bssp_5.json b/datasets/g3bssp_5.json
new file mode 100644
index 0000000000..2b8dee0263
--- /dev/null
+++ b/datasets/g3bssp_5.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3bssp_5",
+    "stac_version": "1.0.0",
+    "description": "g3bssp_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF-EOS) Version 5 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797970-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797970-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797970-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797970-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797970-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bssp_5",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bssp_5/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L2 Solar Event Species Profiles (HDF-EOS) V005",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-07T00:00:00Z",
+                    "2018-06-30T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1432788952-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3bssp_5 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3bssp": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3bssp.005/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3bssp_5",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/SOLAR_HDF4_L2-V5.0",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3bssp_5",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3bssp_51.json b/datasets/g3bssp_51.json
new file mode 100644
index 0000000000..1f50c7e78e
--- /dev/null
+++ b/datasets/g3bssp_51.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3bssp_51",
+    "stac_version": "1.0.0",
+    "description": "g3bssp_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF-EOS) V051 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797768-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797768-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797768-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797768-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797768-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bssp_51",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bssp_51/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L2 Solar Event Species Profiles (HDF-EOS) V051",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-07T00:00:00Z",
+                    "2021-02-28T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1576312558-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3bssp_51 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3bssp": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3bssp.051/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3bssp_51",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/SOLAR_HDF4_L2-V5.1",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3bssp_51",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3bsspb_5.json b/datasets/g3bsspb_5.json
new file mode 100644
index 0000000000..a5488b25aa
--- /dev/null
+++ b/datasets/g3bsspb_5.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3bsspb_5",
+    "stac_version": "1.0.0",
+    "description": "g3bsspb_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V051data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798257-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798257-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798257-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798257-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798257-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bsspb_5",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bsspb_5/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L2 Solar Event Species Profiles (Native) V005",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-07T00:00:00Z",
+                    "2018-06-30T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1432788953-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3bsspb_5 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3bsspb": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3bsspb.005/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3bsspb_5",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/SOLAR_BINARY_L2-V5.0",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3bsspb_5",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3bsspb_51.json b/datasets/g3bsspb_51.json
new file mode 100644
index 0000000000..663516fc1a
--- /dev/null
+++ b/datasets/g3bsspb_51.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3bsspb_51",
+    "stac_version": "1.0.0",
+    "description": "g3bsspb_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V051 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798129-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798129-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798129-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798129-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798129-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bsspb_51",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bsspb_51/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L2 Solar Event Species Profiles (Native) V051",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-07T00:00:00Z",
+                    "2021-02-28T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1576313341-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3bsspb_51 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3bsspb": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3bsspb.051/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3bsspb_51",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/SOLAR_BINARY_L2-V5.1",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3bsspb_51",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3bt_5.json b/datasets/g3bt_5.json
new file mode 100644
index 0000000000..4b22e1acdc
--- /dev/null
+++ b/datasets/g3bt_5.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3bt_5",
+    "stac_version": "1.0.0",
+    "description": "g3bt_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (HDF-EOS) Version 5 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798629-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798629-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798629-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798629-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798629-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3bt_5",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3bt_5/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L1B Solar Event Transmission Data (HDF-EOS) V005",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-07T00:00:00Z",
+                    "2018-06-30T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1432792031-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3bt_5 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3bt": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3bt.005/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3bt_5",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/SOLAR_HDF4_L1B-V5.0",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3bt_5",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3bt_51.json b/datasets/g3bt_51.json
new file mode 100644
index 0000000000..5423a6398e
--- /dev/null
+++ b/datasets/g3bt_51.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3bt_51",
+    "stac_version": "1.0.0",
+    "description": "g3bt_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Lunar Event Species Profiles (HDF) V051 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798532-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798532-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798532-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798532-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798532-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3bt_51",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3bt_51/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L1B Solar Event Transmission Data (HDF-EOS) V051",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-07T00:00:00Z",
+                    "2021-02-28T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1576313977-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3bt_51 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3bt": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3bt.051/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3bt_51",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/SOLAR_HDF4_L1B-V5.1",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3bt_51",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3btb_5.json b/datasets/g3btb_5.json
new file mode 100644
index 0000000000..4935bba6a8
--- /dev/null
+++ b/datasets/g3btb_5.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3btb_5",
+    "stac_version": "1.0.0",
+    "description": "g3btb_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) Version 5 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798906-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798906-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798906-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798906-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798906-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btb_5",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btb_5/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L1B Solar Event Transmission Data (Native) V005",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-07T00:00:00Z",
+                    "2018-06-30T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1432792071-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3btb_5 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3btb": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3btb.005/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3btb_5",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/SOLAR_BINARY_L1B-V5.0",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3btb_5",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/g3btb_51.json b/datasets/g3btb_51.json
new file mode 100644
index 0000000000..b6ad9bcc21
--- /dev/null
+++ b/datasets/g3btb_51.json
@@ -0,0 +1,136 @@
+{
+    "type": "Collection",
+    "id": "g3btb_51",
+    "stac_version": "1.0.0",
+    "description": "g3btb_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V051data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+    "links": [
+        {
+            "rel": "license",
+            "href": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy",
+            "type": "text/html",
+            "title": "EOSDIS Data Use Policy"
+        },
+        {
+            "rel": "about",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798843-LARC_CLOUD.html",
+            "type": "text/html",
+            "title": "HTML metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798843-LARC_CLOUD.native",
+            "type": "application/xml",
+            "title": "Native metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798843-LARC_CLOUD.echo10",
+            "type": "application/echo10+xml",
+            "title": "ECHO10 metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798843-LARC_CLOUD.json",
+            "type": "application/json",
+            "title": "CMR JSON metadata for collection"
+        },
+        {
+            "rel": "via",
+            "href": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798843-LARC_CLOUD.umm_json",
+            "type": "application/vnd.nasa.cmr.umm+json",
+            "title": "CMR UMM_JSON metadata for collection"
+        },
+        {
+            "rel": "self",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btb_51",
+            "type": "application/json"
+        },
+        {
+            "rel": "root",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD",
+            "type": "application/json",
+            "title": "LARC_CLOUD STAC Catalog"
+        },
+        {
+            "rel": "items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btb_51/items",
+            "type": "application/json"
+        }
+    ],
+    "provider": [
+        {
+            "name": "LARC_CLOUD",
+            "roles": [
+                "producer"
+            ]
+        },
+        {
+            "name": "NASA EOSDIS",
+            "roles": [
+                "host"
+            ]
+        }
+    ],
+    "title": "SAGE III/ISS L1B Solar Event Transmission Data (Native) V051",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -180,
+                    -90,
+                    180,
+                    90
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2017-06-07T00:00:00Z",
+                    "2021-02-28T23:59:59Z"
+                ]
+            ]
+        }
+    },
+    "license": "proprietary",
+    "assets": {
+        "nasa": {
+            "href": "https://search.earthdata.nasa.gov/search/granules?p=C1576314029-LARC",
+            "title": "Direct Download [0]",
+            "description": "Earthdata Search for g3btb_51 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data)",
+            "roles": [
+                "data"
+            ]
+        },
+        "gov/data/SAGE_III_ISS/g3btb": {
+            "href": "https://asdc.larc.nasa.gov/data/SAGE_III_ISS/g3btb.051/",
+            "title": "Direct Download [1]",
+            "description": "ASDC Direct Data Download for g3btb_51",
+            "roles": [
+                "data"
+            ]
+        },
+        "provider_metadata": {
+            "href": "https://doi.org/10.5067/ISS/SAGEIII/SOLAR_BINARY_L1B-V5.1",
+            "title": "Provider Metadata",
+            "description": "DOI data set landing page for g3btb_51",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentials",
+            "title": "S3 credentials API endpoint",
+            "roles": [
+                "metadata"
+            ]
+        },
+        "s3_credentials_documentation": {
+            "href": "https://data.asdc.earthdata.nasa.gov/s3credentialsREADME",
+            "title": "S3 credentials API endpoint documentation",
+            "roles": [
+                "metadata"
+            ]
+        }
+    }
+}
\ No newline at end of file
diff --git a/datasets/gap_filled_marconi_811_1.json b/datasets/gap_filled_marconi_811_1.json
index fb39ee1959..339864c322 100644
--- a/datasets/gap_filled_marconi_811_1.json
+++ b/datasets/gap_filled_marconi_811_1.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHNjYWxpbmcgdmVnZXRhdGlvbiBkeW5hbWljcyBhY3Jvc3Mgc291dGggYW1lcmljYVwiLFwiT1JOTF9DTE9VRFwiLFwiRURNX1NBX1ZlZ2V0YXRpb25fMTE0OVwiLFwiMVwiLDI5NjYxODg3OTUsM10iLCJ1bW0iOiJbXCJlY29zeXN0ZW0gZGVtb2dyYXBoeSBtb2RlbDogc2NhbGluZyB2ZWdldGF0aW9uIGR5bmFtaWNzIGFjcm9zcyBzb3V0aCBhbWVyaWNhXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fU0FfVmVnZXRhdGlvbl8xMTQ5XCIsXCIxXCIsMjk2NjE4ODc5NSwzXSJ9/gap_filled_marconi_811_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIiwidW1tIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIn0%3D/gap_filled_marconi_811_1",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHNjYWxpbmcgdmVnZXRhdGlvbiBkeW5hbWljcyBhY3Jvc3Mgc291dGggYW1lcmljYVwiLFwiT1JOTF9DTE9VRFwiLFwiRURNX1NBX1ZlZ2V0YXRpb25fMTE0OVwiLFwiMVwiLDI5NjYxODg3OTUsM10iLCJ1bW0iOiJbXCJlY29zeXN0ZW0gZGVtb2dyYXBoeSBtb2RlbDogc2NhbGluZyB2ZWdldGF0aW9uIGR5bmFtaWNzIGFjcm9zcyBzb3V0aCBhbWVyaWNhXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fU0FfVmVnZXRhdGlvbl8xMTQ5XCIsXCIxXCIsMjk2NjE4ODc5NSwzXSJ9/gap_filled_marconi_811_1/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIiwidW1tIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIn0%3D/gap_filled_marconi_811_1/items",
             "type": "application/json"
         }
     ],
diff --git a/datasets/gdp_xdeg_974_1.json b/datasets/gdp_xdeg_974_1.json
index e76eaeb6a7..b434313d2b 100644
--- a/datasets/gdp_xdeg_974_1.json
+++ b/datasets/gdp_xdeg_974_1.json
@@ -42,7 +42,7 @@
         },
         {
             "rel": "self",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGNhcmJvbiBkaW94aWRlIGVtaXNzaW9ucyBmcm9tIGZvc3NpbCBmdWVscywgY2VtZW50LCBhbmQgZ2FzIGZsYXJpbmdcIixcIk9STkxfQ0xPVURcIixcImNvMl9lbWlzc2lvbnNfMWRlZ18xMDIxXCIsXCIxXCIsMjc4NTMwMTI1MSwyXSIsInVtbSI6IltcImlzbHNjcCBpaSBjYXJib24gZGlveGlkZSBlbWlzc2lvbnMgZnJvbSBmb3NzaWwgZnVlbHMsIGNlbWVudCwgYW5kIGdhcyBmbGFyaW5nXCIsXCJPUk5MX0NMT1VEXCIsXCJjbzJfZW1pc3Npb25zXzFkZWdfMTAyMVwiLFwiMVwiLDI3ODUzMDEyNTEsMl0ifQ%3D%3D/gdp_xdeg_974_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGNhcmJvbiBkaW94aWRlIGZsdXggYXQgaGFydmFyZCBmb3Jlc3QgYW5kIG5vcnRoZXJuIGJvcmVhcyBzaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwiZmx1eG5ldF9wb2ludF8xMDI5XCIsXCIxXCIsMjc4NTMxMjMxMSwyXSIsInVtbSI6IltcImlzbHNjcCBpaSBjYXJib24gZGlveGlkZSBmbHV4IGF0IGhhcnZhcmQgZm9yZXN0IGFuZCBub3J0aGVybiBib3JlYXMgc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcImZsdXhuZXRfcG9pbnRfMTAyOVwiLFwiMVwiLDI3ODUzMTIzMTEsMl0ifQ%3D%3D/gdp_xdeg_974_1",
             "type": "application/json"
         },
         {
@@ -53,7 +53,7 @@
         },
         {
             "rel": "items",
-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGNhcmJvbiBkaW94aWRlIGVtaXNzaW9ucyBmcm9tIGZvc3NpbCBmdWVscywgY2VtZW50LCBhbmQgZ2FzIGZsYXJpbmdcIixcIk9STkxfQ0xPVURcIixcImNvMl9lbWlzc2lvbnNfMWRlZ18xMDIxXCIsXCIxXCIsMjc4NTMwMTI1MSwyXSIsInVtbSI6IltcImlzbHNjcCBpaSBjYXJib24gZGlveGlkZSBlbWlzc2lvbnMgZnJvbSBmb3NzaWwgZnVlbHMsIGNlbWVudCwgYW5kIGdhcyBmbGFyaW5nXCIsXCJPUk5MX0NMT1VEXCIsXCJjbzJfZW1pc3Npb25zXzFkZWdfMTAyMVwiLFwiMVwiLDI3ODUzMDEyNTEsMl0ifQ%3D%3D/gdp_xdeg_974_1/items",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGNhcmJvbiBkaW94aWRlIGZsdXggYXQgaGFydmFyZCBmb3Jlc3QgYW5kIG5vcnRoZXJuIGJvcmVhcyBzaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwiZmx1eG5ldF9wb2ludF8xMDI5XCIsXCIxXCIsMjc4NTMxMjMxMSwyXSIsInVtbSI6IltcImlzbHNjcCBpaSBjYXJib24gZGlveGlkZSBmbHV4IGF0IGhhcnZhcmQgZm9yZXN0IGFuZCBub3J0aGVybiBib3JlYXMgc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcImZsdXhuZXRfcG9pbnRfMTAyOVwiLFwiMVwiLDI3ODUzMTIzMTEsMl0ifQ%3D%3D/gdp_xdeg_974_1/items",
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diff --git a/datasets/geocoord_556_1.json b/datasets/geocoord_556_1.json
index c75630107a..9649e9ecd3 100644
--- a/datasets/geocoord_556_1.json
+++ b/datasets/geocoord_556_1.json
@@ -42,7 +42,7 @@
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         {
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-            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHNhc2thdGNoZXdhbiBmb3Jlc3QgZmlyZSBjb250cm9sIGNlbnRyZSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGRhdGFcIixcIk9STkxfQ0xPVURcIixcInNhc2tmZmNjXzMwN1wiLFwiMVwiLDI4MDc2NDU4MDIsMl0iLCJ1bW0iOiJbXCJib3JlYXMgc2Fza2F0Y2hld2FuIGZvcmVzdCBmaXJlIGNvbnRyb2wgY2VudHJlIHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZGF0YVwiLFwiT1JOTF9DTE9VRFwiLFwic2Fza2ZmY2NfMzA3XCIsXCIxXCIsMjgwNzY0NTgwMiwyXSJ9/geocoord_556_1",
+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHNjYW5uaW5nIGxpZGFyIGltYWdlciBvZiBjYW5vcGllcyBieSBlY2hvIHJlY292ZXJ5IChzbGljZXIpOiBsZXZlbC0zIGRhdGFcIixcIk9STkxfQ0xPVURcIixcIkJPUkVBU19TTElDRVJfNTA4XCIsXCIyXCIsMjc2MTY2NjYxOSwyXSIsInVtbSI6IltcImJvcmVhcyBzY2FubmluZyBsaWRhciBpbWFnZXIgb2YgY2Fub3BpZXMgYnkgZWNobyByZWNvdmVyeSAoc2xpY2VyKTogbGV2ZWwtMyBkYXRhXCIsXCJPUk5MX0NMT1VEXCIsXCJCT1JFQVNfU0xJQ0VSXzUwOFwiLFwiMlwiLDI3NjE2NjY2MTksMl0ifQ%3D%3D/geocoord_556_1",
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@@ -53,7 +53,7 @@
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         {
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+            "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHNjYW5uaW5nIGxpZGFyIGltYWdlciBvZiBjYW5vcGllcyBieSBlY2hvIHJlY292ZXJ5IChzbGljZXIpOiBsZXZlbC0zIGRhdGFcIixcIk9STkxfQ0xPVURcIixcIkJPUkVBU19TTElDRVJfNTA4XCIsXCIyXCIsMjc2MTY2NjYxOSwyXSIsInVtbSI6IltcImJvcmVhcyBzY2FubmluZyBsaWRhciBpbWFnZXIgb2YgY2Fub3BpZXMgYnkgZWNobyByZWNvdmVyeSAoc2xpY2VyKTogbGV2ZWwtMyBkYXRhXCIsXCJPUk5MX0NMT1VEXCIsXCJCT1JFQVNfU0xJQ0VSXzUwOFwiLFwiMlwiLDI3NjE2NjY2MTksMl0ifQ%3D%3D/geocoord_556_1/items",
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diff --git a/datasets/geoecology_R1_656_1.json b/datasets/geoecology_R1_656_1.json
index a1c6407150..cc53684777 100644
--- a/datasets/geoecology_R1_656_1.json
+++ b/datasets/geoecology_R1_656_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/global_population_xdeg_975_1.json b/datasets/global_population_xdeg_975_1.json
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--- a/datasets/globalview_ch4_point_1109_1.json
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index 3ebb620a52..345e38e15e 100644
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index 80ed72eedf..5569ad539f 100644
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index 351881e84b..2335a08a06 100644
--- a/datasets/goes72_554_1.json
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index 547d7ac8b0..3e61ae99a0 100644
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index f1cd988785..3a9b74bea6 100644
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index a8f0b67c90..ae4eb44876 100644
--- a/datasets/gpcc_precip_monthly_xdeg_995_1.json
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index 074377a5dd..e3d1561808 100644
--- a/datasets/gpcp_precip_monthly_xdeg_1003_1.json
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diff --git a/datasets/gpcp_precip_pentad_xdeg_1002_1.json b/datasets/gpcp_precip_pentad_xdeg_1002_1.json
index 886605379a..07493ea3d0 100644
--- a/datasets/gpcp_precip_pentad_xdeg_1002_1.json
+++ b/datasets/gpcp_precip_pentad_xdeg_1002_1.json
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index 95c97c8481..13f6faf8f7 100644
--- a/datasets/gppdi_npp_gridded_xdeg_1023_1.json
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@@ -42,7 +42,7 @@
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index 435c3f8b0b..d041a20bc5 100644
--- a/datasets/gppdi_npp_point_1033_1.json
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diff --git a/datasets/gts_precip_daily_xdeg_1001_1.json b/datasets/gts_precip_daily_xdeg_1001_1.json
index 1b86d3c011..a7a3ba6d3e 100644
--- a/datasets/gts_precip_daily_xdeg_1001_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/h01_shd_253_1.json b/datasets/h01_shd_253_1.json
index 495bde011b..969b7305da 100644
--- a/datasets/h01_shd_253_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/h01smpvd_255_1.json b/datasets/h01smpvd_255_1.json
index cd979c100c..6464f7a9f9 100644
--- a/datasets/h01smpvd_255_1.json
+++ b/datasets/h01smpvd_255_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/h01uncpd_254_1.json b/datasets/h01uncpd_254_1.json
index 8aa96bfd2a..93a9f4d0fa 100644
--- a/datasets/h01uncpd_254_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/h02swed_256_1.json b/datasets/h02swed_256_1.json
index c7046e554b..7b9f422223 100644
--- a/datasets/h02swed_256_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/h03candd_258_1.json b/datasets/h03candd_258_1.json
index cb10962cf8..0b1e6fb345 100644
--- a/datasets/h03candd_258_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/h03dbhd_264_1.json b/datasets/h03dbhd_264_1.json
index bef3b9143b..fbff9a82bb 100644
--- a/datasets/h03dbhd_264_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/h03scrdd_266_1.json b/datasets/h03scrdd_266_1.json
index 232e309ed1..313dd4cef8 100644
--- a/datasets/h03scrdd_266_1.json
+++ b/datasets/h03scrdd_266_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/h03sd96d_259_1.json b/datasets/h03sd96d_259_1.json
index af1017e91e..4b7d38369e 100644
--- a/datasets/h03sd96d_259_1.json
+++ b/datasets/h03sd96d_259_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/h03sntmd_261_1.json b/datasets/h03sntmd_261_1.json
index 99905b7dc1..df32268952 100644
--- a/datasets/h03sntmd_261_1.json
+++ b/datasets/h03sntmd_261_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/h03sp96d_260_1.json b/datasets/h03sp96d_260_1.json
index b2abb60585..e6fba6cc73 100644
--- a/datasets/h03sp96d_260_1.json
+++ b/datasets/h03sp96d_260_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/h03stdnd_257_1.json b/datasets/h03stdnd_257_1.json
index e0b463b587..617025f38f 100644
--- a/datasets/h03stdnd_257_1.json
+++ b/datasets/h03stdnd_257_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/h03swed_262_1.json b/datasets/h03swed_262_1.json
index 8c2a7461dd..a607b08f09 100644
--- a/datasets/h03swed_262_1.json
+++ b/datasets/h03swed_262_1.json
@@ -42,7 +42,7 @@
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index 14b29fb819..07703c1510 100644
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index 131289d674..00d88496e8 100644
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index eb3956f212..3aaf4c0545 100644
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index 4c0c1f7d58..d8945a0b93 100644
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index 212b123db7..b139888ba4 100644
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index 3ba4c6825a..7e612067a9 100644
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diff --git a/datasets/h08gp96_275_1.json b/datasets/h08gp96_275_1.json
index 327715c2e9..7725602464 100644
--- a/datasets/h08gp96_275_1.json
+++ b/datasets/h08gp96_275_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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diff --git a/datasets/h09rradi_278_1.json b/datasets/h09rradi_278_1.json
index 7cf8a25510..9c03ff39b8 100644
--- a/datasets/h09rradi_278_1.json
+++ b/datasets/h09rradi_278_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/h09stmgd_279_1.json b/datasets/h09stmgd_279_1.json
index 4ed43d8882..172386c3ee 100644
--- a/datasets/h09stmgd_279_1.json
+++ b/datasets/h09stmgd_279_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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diff --git a/datasets/h3scmet_265_1.json b/datasets/h3scmet_265_1.json
index 1b6df37cc1..f1b111350a 100644
--- a/datasets/h3scmet_265_1.json
+++ b/datasets/h3scmet_265_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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diff --git a/datasets/h3swe96d_263_1.json b/datasets/h3swe96d_263_1.json
index b3c7dc3326..4fdcc0c6f8 100644
--- a/datasets/h3swe96d_263_1.json
+++ b/datasets/h3swe96d_263_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/h5flxd_269_1.json b/datasets/h5flxd_269_1.json
index 4facd3a4df..9b5013e81c 100644
--- a/datasets/h5flxd_269_1.json
+++ b/datasets/h5flxd_269_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/h6acgsmd_270_1.json b/datasets/h6acgsmd_270_1.json
index 0151be64bb..109aa1c241 100644
--- a/datasets/h6acgsmd_270_1.json
+++ b/datasets/h6acgsmd_270_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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index e59edfbc2b..7ec3c852c4 100644
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index 49120d068d..f78d7fbac5 100644
--- a/datasets/islscp2_soils_1deg_1004_1.json
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index 1bccdf4bdb..d92a6f1657 100644
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index 6bc7f158d3..c9a2b67a9b 100644
--- a/datasets/land_cover_data_1deg_677_1.json
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diff --git a/datasets/land_cover_data_1km_678_1.json b/datasets/land_cover_data_1km_678_1.json
index bc1ca6afe1..ec4616a74c 100644
--- a/datasets/land_cover_data_1km_678_1.json
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index c00eba7a12..7956db8fc4 100644
--- a/datasets/leafchem_421_1.json
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@@ -42,7 +42,7 @@
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index b273cffad5..c559b55691 100644
--- a/datasets/leafspec_424_1.json
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index 4df4a580d0..c02a132468 100644
--- a/datasets/leemans_cramer_681_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/legal_amazon_mask_671_1.json b/datasets/legal_amazon_mask_671_1.json
index 6fe476caff..826d6eb960 100644
--- a/datasets/legal_amazon_mask_671_1.json
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diff --git a/datasets/level_1_annual_co2_895_1.json b/datasets/level_1_annual_co2_895_1.json
index ae105137ef..aa549d665d 100644
--- a/datasets/level_1_annual_co2_895_1.json
+++ b/datasets/level_1_annual_co2_895_1.json
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index d8f728868e..da951483ce 100644
--- a/datasets/level_2_seasonal_co2_1198_1.json
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diff --git a/datasets/litter_decomp_651_1.json b/datasets/litter_decomp_651_1.json
index acb1748cc0..40e6ee6a51 100644
--- a/datasets/litter_decomp_651_1.json
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diff --git a/datasets/lsatmssd_435_1.json b/datasets/lsatmssd_435_1.json
index 189e9cbb9a..00aaa21d5c 100644
--- a/datasets/lsatmssd_435_1.json
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diff --git a/datasets/ltm_ii3a_280_1.json b/datasets/ltm_ii3a_280_1.json
index cec3d0601c..a30bd9fb3a 100644
--- a/datasets/ltm_ii3a_280_1.json
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diff --git a/datasets/ltm_ii3b_425_1.json b/datasets/ltm_ii3b_425_1.json
index 2e46e542dc..915a5a71c4 100644
--- a/datasets/ltm_ii3b_425_1.json
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index 1d05e3d003..baf656b4f9 100644
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index e8f68eeb28..b4f7d0d8e5 100644
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index 1d2606cd61..a99b9e86aa 100644
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index 95ad4b5996..b933b99528 100644
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index a1498641dd..cd8e334d07 100644
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index fe441805ee..e1e8336fcd 100644
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index 8705386297..fb0d025b86 100644
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index 6d82bc8d79..c6606e0d77 100644
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diff --git a/datasets/model_36_1.json b/datasets/model_36_1.json
index f7d0f73d9d..4a3bc8d9bf 100644
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diff --git a/datasets/model_npp_xdeg_1027_1.json b/datasets/model_npp_xdeg_1027_1.json
index 14276bddfa..890cc91904 100644
--- a/datasets/model_npp_xdeg_1027_1.json
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index ce272bde57..d6bc9a1869 100644
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index 9c824f97d5..781600f58a 100644
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index 32d575b531..fb9b04f42a 100644
--- a/datasets/modis_landcover_xdeg_968_1.json
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index 494b19d318..665d8fd008 100644
--- a/datasets/ncep_met_1deg_1226_1.json
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@@ -42,7 +42,7 @@
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index c1e78360e7..525cc03b8d 100644
--- a/datasets/noaa_albedo_5year-av_xdeg_959_1.json
+++ b/datasets/noaa_albedo_5year-av_xdeg_959_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/ns0012bq_482_1.json b/datasets/ns0012bq_482_1.json
index 119fde0154..23ac9df8c4 100644
--- a/datasets/ns0012bq_482_1.json
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diff --git a/datasets/ns001bil_440_1.json b/datasets/ns001bil_440_1.json
index 5a5855a172..6201023395 100644
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diff --git a/datasets/nsafcovr_252_1.json b/datasets/nsafcovr_252_1.json
index 8d1ce7cac4..b789f1c334 100644
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index ae245c88a4..681f41672c 100644
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index fc43ed96b5..9387bce267 100644
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index 32b4e3b657..b261067694 100644
--- a/datasets/potential_veg_xdeg_961_1.json
+++ b/datasets/potential_veg_xdeg_961_1.json
@@ -42,7 +42,7 @@
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index 4010af5f54..4a8d2a68e6 100644
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index 8667d44f70..5ed1c424a5 100644
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index e10784318a..c05455f961 100644
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index 396f2a91ca..68a3b5c5b0 100644
--- a/datasets/r12sunpd_299_1.json
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index 9a26667b6a..c3b3de4d4b 100644
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index 6d562a5e68..f316ad15cc 100644
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index 2464f5b465..e16ac61503 100644
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index 3363da0038..bebc75cf90 100644
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index 59f5956e4a..5ef6f5bade 100644
--- a/datasets/regsoilr_285_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/rivdis_199_1.json b/datasets/rivdis_199_1.json
index 4347bee04c..936a9a308f 100644
--- a/datasets/rivdis_199_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/river_carbon_flux_xdeg_1028_1.json b/datasets/river_carbon_flux_xdeg_1028_1.json
index ec96513e18..866b3ae169 100644
--- a/datasets/river_carbon_flux_xdeg_1028_1.json
+++ b/datasets/river_carbon_flux_xdeg_1028_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/river_routing_stn_xdeg_1005_1.json b/datasets/river_routing_stn_xdeg_1005_1.json
index 1328b87f7c..cb091c61a1 100644
--- a/datasets/river_routing_stn_xdeg_1005_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/root_biomass_658_1.json b/datasets/root_biomass_658_1.json
index 04305198ff..e1bdcd8d87 100644
--- a/datasets/root_biomass_658_1.json
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index 3bb934181d..d766fbada2 100644
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index f0965f17cd..406d0977ea 100644
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index 2a00e6f318..9291d0a2dc 100644
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index b4e27e60b9..f0c00c5d23 100644
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index 12392e91a5..92146c190b 100644
--- a/datasets/rs16cm61_563_1.json
+++ b/datasets/rs16cm61_563_1.json
@@ -42,7 +42,7 @@
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index a3ca881c21..17e37ee1f7 100644
--- a/datasets/rs17diel_301_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/rs20c130_305_1.json b/datasets/rs20c130_305_1.json
index 9ad1757c1c..69748a0018 100644
--- a/datasets/rs20c130_305_1.json
+++ b/datasets/rs20c130_305_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/rs20helo_306_1.json b/datasets/rs20helo_306_1.json
index ed4cbfec5d..127bd727ef 100644
--- a/datasets/rs20helo_306_1.json
+++ b/datasets/rs20helo_306_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/rs20prad_555_1.json b/datasets/rs20prad_555_1.json
index 90c592eedd..bb9b1a6902 100644
--- a/datasets/rs20prad_555_1.json
+++ b/datasets/rs20prad_555_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/rs3atmos_288_1.json b/datasets/rs3atmos_288_1.json
index 0799c263bc..feb8b05a37 100644
--- a/datasets/rs3atmos_288_1.json
+++ b/datasets/rs3atmos_288_1.json
@@ -42,7 +42,7 @@
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index 9d1d41dfa4..63d76d07cd 100644
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index 358a8c0892..da39c78ba9 100644
--- a/datasets/rs7ssatd_302_1.json
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index 35ae43e3fb..c10094960b 100644
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index 20c01264fd..76d7d20a64 100644
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diff --git a/datasets/rss14srb_447_1.json b/datasets/rss14srb_447_1.json
index 7dd43bfcf0..9cc6b0c29c 100644
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index b223173f5d..8262c8f67b 100644
--- a/datasets/rss17fth_484_1.json
+++ b/datasets/rss17fth_484_1.json
@@ -42,7 +42,7 @@
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index bfc5f14380..b81e82b7a9 100644
--- a/datasets/rss17xyf_303_1.json
+++ b/datasets/rss17xyf_303_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/rss18opt_503_1.json b/datasets/rss18opt_503_1.json
index b7a1f708cc..b5d446f195 100644
--- a/datasets/rss18opt_503_1.json
+++ b/datasets/rss18opt_503_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/rss1para_286_1.json b/datasets/rss1para_286_1.json
index 8a512e3a42..b697f30476 100644
--- a/datasets/rss1para_286_1.json
+++ b/datasets/rss1para_286_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/rss3hmmr_290_1.json b/datasets/rss3hmmr_290_1.json
index ac68eb8539..1b9f2aef56 100644
--- a/datasets/rss3hmmr_290_1.json
+++ b/datasets/rss3hmmr_290_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/rss4lib_292_1.json b/datasets/rss4lib_292_1.json
index 2249f0f62b..680c389cae 100644
--- a/datasets/rss4lib_292_1.json
+++ b/datasets/rss4lib_292_1.json
@@ -42,7 +42,7 @@
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index febab93d39..3b10f1b525 100644
--- a/datasets/rss8brdf_505_1.json
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index 399d051fb1..aef857d594 100644
--- a/datasets/rss8digi_506_1.json
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index a7546b8d47..ada4fec682 100644
--- a/datasets/rss8snow_428_1.json
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index e556e2e3cf..6e18b0ee38 100644
--- a/datasets/sage_685_1.json
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index d7f8c577f6..f2c9bf97d5 100644
--- a/datasets/samsa94d_462_1.json
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index 505309efbd..321dcf248d 100644
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diff --git a/datasets/saskfc1m_510_1.json b/datasets/saskfc1m_510_1.json
index 51cfb06084..bf9a9fb4fe 100644
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index ecbb56e629..aae1ad2f20 100644
--- a/datasets/saskffcc_307_1.json
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index 3e012d7060..269fd58644 100644
--- a/datasets/saskfire_308_1.json
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index 9e67c7c7fc..cbc7af6319 100644
--- a/datasets/sea_ice_extent_xdeg_981_1.json
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diff --git a/datasets/sea_surface_temp_1deg_980_1.json b/datasets/sea_surface_temp_1deg_980_1.json
index e751ecbc98..09252d0fd4 100644
--- a/datasets/sea_surface_temp_1deg_980_1.json
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diff --git a/datasets/snow_cover_xdeg_982_1.json b/datasets/snow_cover_xdeg_982_1.json
index 0ab1d3b620..d6ba98d265 100644
--- a/datasets/snow_cover_xdeg_982_1.json
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@@ -42,7 +42,7 @@
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index 697306af00..a44ac8f2aa 100644
--- a/datasets/snowfree_albedo_1deg_956_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/soil125r_309_1.json b/datasets/soil125r_309_1.json
index 2843380469..58bad42225 100644
--- a/datasets/soil125r_309_1.json
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diff --git a/datasets/soilt20r_357_1.json b/datasets/soilt20r_357_1.json
index 08000ad14c..6e4e646883 100644
--- a/datasets/soilt20r_357_1.json
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diff --git a/datasets/soilt20v_533_1.json b/datasets/soilt20v_533_1.json
index 6a34fa10d7..4fb7a7c870 100644
--- a/datasets/soilt20v_533_1.json
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diff --git a/datasets/soilte1r_312_1.json b/datasets/soilte1r_312_1.json
index 22a59f2c52..6eed53d38b 100644
--- a/datasets/soilte1r_312_1.json
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index c250f03f8d..c92c2b2986 100644
--- a/datasets/soller_wetlands_674_1.json
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index 698c09b3a1..ab87eafed7 100644
--- a/datasets/spectra_licor_47_1.json
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index 3c079c18d9..7d6c8f5f17 100644
--- a/datasets/spectra_perkin_48_1.json
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index 719b36906c..fe157fcda5 100644
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diff --git a/datasets/srb_clouds_1deg_1073_1.json b/datasets/srb_clouds_1deg_1073_1.json
index 99c88d5d7d..a8dc74b0c4 100644
--- a/datasets/srb_clouds_1deg_1073_1.json
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index 624e024405..3a4e0b7dad 100644
--- a/datasets/srb_radiation_1deg_1201_1.json
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index d0ef71f7c8..a178f0d7bc 100644
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index 0ac763de40..41ec93bec6 100644
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diff --git a/datasets/te01ssld_530_1.json b/datasets/te01ssld_530_1.json
index 0a4d3f4dbf..73fb8f43cf 100644
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index 9467caadec..d3328b9a48 100644
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index 9126b7c537..6e7fffe5c1 100644
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index 3d9b41ad77..6c2d159d5c 100644
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diff --git a/datasets/te08bopt_336_1.json b/datasets/te08bopt_336_1.json
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index 74c48a3956..248527ae4a 100644
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index 63dc1783c9..b10b947d24 100644
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index 4f8274cc88..a9dcd1af7c 100644
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index 01bfe271f3..7dcdea118a 100644
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diff --git a/datasets/te10lfch_345_1.json b/datasets/te10lfch_345_1.json
index 5b9f70746a..96c0cde9a2 100644
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index 91113c4148..25c64826fe 100644
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index 36785019ca..03b8df48c7 100644
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index a08d3f3694..889d9af64a 100644
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index 34e3eb4890..a31a3f6929 100644
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index b9739da334..714c0223a0 100644
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diff --git a/datasets/te11smet_350_1.json b/datasets/te11smet_350_1.json
index e2e386e388..3829ffda44 100644
--- a/datasets/te11smet_350_1.json
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index 8309769ccd..5bacb99f91 100644
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index d9665b14d7..c8430ca9ea 100644
--- a/datasets/te12lgex_351_1.json
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index 223a785c76..11cf53fec4 100644
--- a/datasets/te12lod_352_1.json
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index e5a5e9dadc..0e5ddd1167 100644
--- a/datasets/te12parc_485_1.json
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diff --git a/datasets/te12sgd_353_1.json b/datasets/te12sgd_353_1.json
index 260ad7476b..76f6d58321 100644
--- a/datasets/te12sgd_353_1.json
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diff --git a/datasets/te13biom_355_2.json b/datasets/te13biom_355_2.json
index 3606cff761..c5edcb83b5 100644
--- a/datasets/te13biom_355_2.json
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index c2562bb02d..76ef901e6e 100644
--- a/datasets/te17pem_486_1.json
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@@ -42,7 +42,7 @@
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index 538822d59d..c8824a16de 100644
--- a/datasets/te18geos_532_1.json
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diff --git a/datasets/te18ls30_557_1.json b/datasets/te18ls30_557_1.json
index 5e26ae677f..e88e0e9f63 100644
--- a/datasets/te18ls30_557_1.json
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diff --git a/datasets/te18ls60_564_1.json b/datasets/te18ls60_564_1.json
index 7971267431..cfce1839a0 100644
--- a/datasets/te18ls60_564_1.json
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index a67e855291..ae8fc716d3 100644
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diff --git a/datasets/te1ch4fx_310_1.json b/datasets/te1ch4fx_310_1.json
index d06f718843..7fc033f687 100644
--- a/datasets/te1ch4fx_310_1.json
+++ b/datasets/te1ch4fx_310_1.json
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index f8f5679fac..2b3b90d754 100644
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index 2a6a2c330d..87bd97829b 100644
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index 5770ef0d21..1173c8a424 100644
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index e23cd127dd..f830b2672b 100644
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index 3509933664..f2ad10b7b0 100644
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index 6799b864cd..27ee1e2442 100644
--- a/datasets/te21smet_358_1.json
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@@ -42,7 +42,7 @@
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index 2131cda3e5..b765f23420 100644
--- a/datasets/te22allm_490_1.json
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@@ -42,7 +42,7 @@
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index b1fe85a31d..8a5b17c6f9 100644
--- a/datasets/te22ring_491_1.json
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diff --git a/datasets/te23arch_492_1.json b/datasets/te23arch_492_1.json
index 89bfb9cf50..34661de7b8 100644
--- a/datasets/te23arch_492_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/te23mapp_359_1.json b/datasets/te23mapp_359_1.json
index cec7310951..20b383af00 100644
--- a/datasets/te23mapp_359_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/te2flrsp_315_1.json b/datasets/te2flrsp_315_1.json
index fc64d3e168..aad51734a9 100644
--- a/datasets/te2flrsp_315_1.json
+++ b/datasets/te2flrsp_315_1.json
@@ -42,7 +42,7 @@
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index f29414e045..1c6890158f 100644
--- a/datasets/te2rtrsp_316_1.json
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index 11e42ee3ba..d98ab1fd94 100644
--- a/datasets/te2stsap_317_1.json
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diff --git a/datasets/te2wdrs2_314_1.json b/datasets/te2wdrs2_314_1.json
index 9156131ad6..3eec270004 100644
--- a/datasets/te2wdrs2_314_1.json
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diff --git a/datasets/te2wdrsp_318_1.json b/datasets/te2wdrsp_318_1.json
index 088f571988..016bacabd6 100644
--- a/datasets/te2wdrsp_318_1.json
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diff --git a/datasets/te5airs_321_1.json b/datasets/te5airs_321_1.json
index fd613b5d9f..fb5e937ddf 100644
--- a/datasets/te5airs_321_1.json
+++ b/datasets/te5airs_321_1.json
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index 6bfd548c1e..e8cde8eddc 100644
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index c68f698dcb..549d84e15d 100644
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index b94f05b6dd..9227b99688 100644
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index bef8b9b7b0..000ee8dd13 100644
--- a/datasets/te5treer_327_1.json
+++ b/datasets/te5treer_327_1.json
@@ -42,7 +42,7 @@
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index 67705dd7c1..26687f5e15 100644
--- a/datasets/te6allom_329_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/te6bmflg_330_1.json b/datasets/te6bmflg_330_1.json
index 675dc4383f..c26e11f25e 100644
--- a/datasets/te6bmflg_330_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/te6h2opd_332_1.json b/datasets/te6h2opd_332_1.json
index 83a16d8259..dcc50a1c36 100644
--- a/datasets/te6h2opd_332_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/te6mltvg_331_1.json b/datasets/te6mltvg_331_1.json
index 5f46f98cd1..b07635f7ac 100644
--- a/datasets/te6mltvg_331_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/te6npp_200_1.json b/datasets/te6npp_200_1.json
index cb5c437466..d32312a6fb 100644
--- a/datasets/te6npp_200_1.json
+++ b/datasets/te6npp_200_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/te6satns_328_1.json b/datasets/te6satns_328_1.json
index 705869689a..9e97a45648 100644
--- a/datasets/te6satns_328_1.json
+++ b/datasets/te6satns_328_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/te9bioav_339_1.json b/datasets/te9bioav_339_1.json
index 110be538ed..1995860942 100644
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diff --git a/datasets/te9biopd_340_1.json b/datasets/te9biopd_340_1.json
index 91ce26b376..581043ad1a 100644
--- a/datasets/te9biopd_340_1.json
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index 37df0ba018..edae169b27 100644
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diff --git a/datasets/tf01soil_511_1.json b/datasets/tf01soil_511_1.json
index f0416496ff..8119609e93 100644
--- a/datasets/tf01soil_511_1.json
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index 1ba53c5b22..5cc927f62a 100644
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diff --git a/datasets/tf01uflx_513_1.json b/datasets/tf01uflx_513_1.json
index 4a0874739b..72aca9a28d 100644
--- a/datasets/tf01uflx_513_1.json
+++ b/datasets/tf01uflx_513_1.json
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index 1852b08506..7638987131 100644
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index 5b11e7f47b..6c87b6e874 100644
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index 11bf3e86a0..83a40e93bb 100644
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index f98118512f..e4c71d96f3 100644
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index bf809831a4..61da06bed9 100644
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index 47067c7be4..f57f2aff48 100644
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index 9e527f78f2..f11b7a0ee2 100644
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index f5230c8ce5..1c0eab7e46 100644
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index 83daac9262..48e7e9124f 100644
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index e7b4eb18fd..8b66bde361 100644
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index 91df490e8e..58394cf46b 100644
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index bd0d636d76..ebb17367a3 100644
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diff --git a/datasets/tf1ch4_514_1.json b/datasets/tf1ch4_514_1.json
index ec6034e7b7..5d86fe79bf 100644
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index bee37a0b22..f6b3c25996 100644
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index 3ff8ab2d74..c9c8db6c33 100644
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index 18d5de46ef..7b986a4a89 100644
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index 86b1c84ca0..355525d7ad 100644
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index 4388334644..a3fcea77f0 100644
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index e1b122033a..c43fb8935d 100644
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index 217c3bf20b..4ad0c1be0c 100644
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index 174862f4cc..8f16f5c84d 100644
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diff --git a/datasets/tgb10ocd_396_1.json b/datasets/tgb10ocd_396_1.json
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index 3d9088c180..610f454555 100644
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index 36e98d9637..b0dcd73ae4 100644
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index 5077359e4b..88b0dcfad9 100644
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diff --git a/datasets/tgb12ci_399_1.json b/datasets/tgb12ci_399_1.json
index 3f8434f6a6..4b96d5092b 100644
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diff --git a/datasets/tgb12rad_400_1.json b/datasets/tgb12rad_400_1.json
index 564ee25448..11019713c6 100644
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index 4f52ed08e7..d1de86b293 100644
--- a/datasets/tgb12rfd_401_1.json
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index 042ac89e15..0f06d1069c 100644
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diff --git a/datasets/tgb12sci_558_1.json b/datasets/tgb12sci_558_1.json
index c6a3ba3f09..fa940f5a5d 100644
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diff --git a/datasets/tgb1ccfd_374_1.json b/datasets/tgb1ccfd_374_1.json
index 4306c01a4f..142dbc87e9 100644
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diff --git a/datasets/tgb1ccsd_377_1.json b/datasets/tgb1ccsd_377_1.json
index 2db4125bf3..1352805d65 100644
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diff --git a/datasets/tgb1cfd_375_1.json b/datasets/tgb1cfd_375_1.json
index 2b742107f9..eeef0bdb88 100644
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index 641c627390..28f138bd72 100644
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diff --git a/datasets/tgb4wsed_461_1.json b/datasets/tgb4wsed_461_1.json
index b3283e1a17..3f6c69feb1 100644
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index 30a64d1829..33950b177b 100644
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index b8cae8f2af..46c2a3d2c0 100644
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index 323c407644..757783f46d 100644
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diff --git a/datasets/tgb7ddho_390_1.json b/datasets/tgb7ddho_390_1.json
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index 1d8d06d263..e58e295e70 100644
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index c70f0dd738..c219203c10 100644
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index af6610996b..e074eb0ee6 100644
--- a/datasets/tgb8prds_393_1.json
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index f5cd3b81f9..eb8f6c462a 100644
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index e8fe2003ca..74b54624a8 100644
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index 5bea051ac8..ce7794caaa 100644
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index 9cbd8cef0c..ca59723dac 100644
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index ffb936eabe..9f6a0885c1 100644
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diff --git a/datasets/umd_landcover_xdeg_969_1.json b/datasets/umd_landcover_xdeg_969_1.json
index 595a2e25b7..15c566cf3f 100644
--- a/datasets/umd_landcover_xdeg_969_1.json
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index 2ff56f81b3..10c478ccdf 100644
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index 6c2c28e9a5..94a89926f9 100644
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index 0657529969..1d8913807b 100644
--- a/datasets/vemap-1_VEMAP1_CDROM_566_1.json
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index 990e1e85ed..fc7e5fd5a1 100644
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diff --git a/datasets/vemap-1_climate_224_1.json b/datasets/vemap-1_climate_224_1.json
index c8421a389d..e3b2ef63e5 100644
--- a/datasets/vemap-1_climate_224_1.json
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index c165258400..53c392cb24 100644
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diff --git a/datasets/vemap-1_veg_225_1.json b/datasets/vemap-1_veg_225_1.json
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index 68e112e59e..db7db1adfc 100644
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index caf0b50e64..bad6fb1d57 100644
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index 1597ca49cf..815d542966 100644
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diff --git a/datasets/woody_biomass_657_1.json b/datasets/woody_biomass_657_1.json
index d86fa41451..9a137e4c4c 100644
--- a/datasets/woody_biomass_657_1.json
+++ b/datasets/woody_biomass_657_1.json
@@ -42,7 +42,7 @@
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diff --git a/nasa_cmr_catalog.json b/nasa_cmr_catalog.json
index 8bb8f33654..7fcb144d42 100644
--- a/nasa_cmr_catalog.json
+++ b/nasa_cmr_catalog.json
@@ -14325,6 +14325,331 @@
         "description": "The ACSPO G17/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G17/ABI L2P product available at https://podaac.jpl.nasa.gov/dataset/ABI_G17-STAR-L2P-v2.71. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Due to the loop heat pipe (LHP) issue on G17 ABI, there are only 13 granules available per 24hr interval, from 20UTC to 08UTC, followed by a break from 09UTC to 19UTC, with a total data volume of 0.1GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. The following additional layers are also reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://podaac.jpl.nasa.gov/dataset/CMC0.1deg-CMC-L4-GLOB-v3.0 ). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).",
         "license": "proprietary"
     },
+    {
+        "id": "ABLE-2A_Aerosol_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-2A Electra In-Situ Aerosol Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1985-07-11",
+        "end_date": "1985-08-15",
+        "bbox": "-76.3, -7.2, -47.48, 37.1",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165326945-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165326945-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Aerosol_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-2A_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2A_Ground_Data_1",
+        "title": "ABLE-2A Ground Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1985-07-11",
+        "end_date": "1985-08-15",
+        "bbox": "-76.3, -7.2, -47.48, 37.1",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165325881-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165325881-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Ground_Data_1",
+        "description": "ABLE-2A_Ground_Data is the ground site data collected during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign.  Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2A_Merge_Data_1",
+        "title": "ABLE-2A Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1985-07-11",
+        "end_date": "1985-08-15",
+        "bbox": "-76.3, -7.2, -47.48, 37.1",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165312896-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165312896-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Merge_Data_1",
+        "description": "ABLE-2A_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2A_MetNav_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-2A Electra Meteorological and Navigational Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1985-07-11",
+        "end_date": "1985-08-15",
+        "bbox": "-76.3, -7.2, -47.48, 37.1",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165179338-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165179338-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_MetNav_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-2A_MetNav_AircraftInSitu_Electra_Data is the in-situ meteorology and navigational data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2A_Sondes_Data_1",
+        "title": "ABLE-2A Sondes Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1985-07-11",
+        "end_date": "1985-08-15",
+        "bbox": "-76.3, -7.2, -47.48, 37.1",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165316389-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165316389-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_Sondes_Data_1",
+        "description": "ABLE-2A_Sondes_Data is the radiosonde and rawinsonde data collected during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2A_TraceGas_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-2A Electra In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1985-07-11",
+        "end_date": "1985-08-15",
+        "bbox": "-76.3, -7.2, -47.48, 37.1",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165188064-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165188064-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2A_TraceGas_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-2A_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data using chemiluminescence, gas traps, cryogenic air samples, and IR lasers are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2B_Aerosol_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-2B Electra In-Situ Aerosol Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1987-04-01",
+        "end_date": "1987-05-15",
+        "bbox": "-81.47, -84.1, -31.29, 37.54",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322297-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322297-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Aerosol_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-2B_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2B_Ground_Data_1",
+        "title": "ABLE-2B Ground Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1987-04-01",
+        "end_date": "1987-05-15",
+        "bbox": "-81.47, -84.1, -31.29, 37.54",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322023-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165322023-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Ground_Data_1",
+        "description": "ABLE-2B_Ground_Data is the ground data collected during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data using grab samples are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2B_Merge_Data_1",
+        "title": "ABLE-2B Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1987-04-01",
+        "end_date": "1987-05-15",
+        "bbox": "-81.47, -84.1, -31.29, 37.54",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321623-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321623-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Merge_Data_1",
+        "description": "ABLE-2B_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data using chemiluminescence, gas traps, and grab samples are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2B_MetNav_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-2B Electra Meteorological and Navigational Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1987-04-01",
+        "end_date": "1987-05-15",
+        "bbox": "-81.47, -84.1, -31.29, 37.54",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165311959-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165311959-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_MetNav_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-2B_MetNav_AircraftInSitu_Electra_Data is the in-situ meteorology and navigational data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2B_Sondes_Data_1",
+        "title": "ABLE-2B Sondes Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1987-04-01",
+        "end_date": "1987-05-15",
+        "bbox": "-81.47, -84.1, -31.29, 37.54",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321881-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165321881-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_Sondes_Data_1",
+        "description": "ABLE-2B_Sondes_Data is the rawinsonde and tethered balloon data collected  during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-2B_TraceGas_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-2B Electra In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1987-04-01",
+        "end_date": "1987-05-15",
+        "bbox": "-81.47, -84.1, -31.29, 37.54",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165308094-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165308094-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-2B_TraceGas_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-2B_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data using chemiluminescence, gas traps, and grab samples are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data_1",
+        "title": "ABLE-3A Electra Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1988-07-07",
+        "end_date": "1988-08-18",
+        "bbox": "-168.402, 37.082, -55.443, 83.332",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165276566-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165276566-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data_1",
+        "description": "ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3A_Ground_Data_1",
+        "title": "ABLE-3A Ground Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1988-07-07",
+        "end_date": "1988-08-18",
+        "bbox": "-168.402, 37.082, -55.443, 83.332",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165274569-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165274569-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_Ground_Data_1",
+        "description": "ABLE-3A_Ground_Data is the ground site data collected during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data from the Harvard CO2 instrument and mist chambers are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3A_Merge_Data_1",
+        "title": "ABLE-3A Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1988-07-07",
+        "end_date": "1988-08-18",
+        "bbox": "-168.402, 37.082, -55.443, 83.332",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165320026-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165320026-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_Merge_Data_1",
+        "description": "ABLE-3A_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3A_MetNav_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-3A Electra Meteorological and Navigational Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1988-07-07",
+        "end_date": "1988-08-18",
+        "bbox": "-168.402, 37.082, -55.443, 83.332",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165275821-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165275821-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_MetNav_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-3A_MetNav_AircraftInSitu_Electra_Data is the in-situ meteorology and navigational data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3A_TraceGas_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-3A Electra In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1988-07-07",
+        "end_date": "1988-08-18",
+        "bbox": "-168.402, 37.082, -55.443, 83.332",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165277809-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165277809-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_TraceGas_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-3A_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data using grab samples, gas chromatography, and Laser Induced Fluorescence (LIF) are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3A_Trajectory_Data_1",
+        "title": "ABLE-3A Trajectory",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1988-07-07",
+        "end_date": "1988-08-18",
+        "bbox": "-168.402, 37.082, -55.443, 83.332",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165255582-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165255582-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3A_Trajectory_Data_1",
+        "description": "ABLE-3A_Trajectory_Data is the trajectory data collected during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3B_Aerosol_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-3B Electra In-Situ Aerosol Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-06-11",
+        "end_date": "1990-08-18",
+        "bbox": "-106.178, 37.053, -49.4, 63.748",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165239767-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165239767-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3B_Aerosol_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-3B_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data using mist chambers and teflon filters are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data_1",
+        "title": "ABLE-3B Electra Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-06-11",
+        "end_date": "1990-08-18",
+        "bbox": "-106.178, 37.053, -49.4, 63.748",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165249715-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165249715-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data_1",
+        "description": "ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3B_Ground_Data_1",
+        "title": "ABLE-3B Ground Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-06-11",
+        "end_date": "1990-08-18",
+        "bbox": "-106.178, 37.053, -49.4, 63.748",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165206975-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165206975-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_Ground_Data_1",
+        "description": "ABLE-3B_Ground_Data is the ground site data collected during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data from the High-Altitude Fast-Response CO2 Analyzer (Harvard CO2) instrument are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3B_Merge_Data_1",
+        "title": "ABLE-3B Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-06-11",
+        "end_date": "1990-08-18",
+        "bbox": "-106.178, 37.053, -49.4, 63.748",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165206040-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165206040-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_Merge_Data_1",
+        "description": "ABLE-3B_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3B_MetNav_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-3B Electra Meteorological and Navigational Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-06-11",
+        "end_date": "1990-08-18",
+        "bbox": "-106.178, 37.053, -49.4, 63.748",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165245623-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165245623-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_MetNav_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-3B Electra Meteorological and Navigational Data is the in-situ meteorological and navigational data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data from the Turbulent Air Motion Measurement System (TAMMS) instrument are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3B_TraceGas_AircraftInSitu_Electra_Data_1",
+        "title": "ABLE-3B Electra In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-06-11",
+        "end_date": "1990-08-18",
+        "bbox": "-106.178, 37.053, -49.4, 63.748",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165251279-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165251279-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/ABLE-3B_TraceGas_AircraftInSitu_Electra_Data_1",
+        "description": "ABLE-3B_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data using grab samples, gas chromatography, Laser Induced Fluorescence (LIF), and the Differential Absorption CO, CH4, N2O Measurements (DACOM) instrument are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "ABLE-3B_Trajectory_Data_1",
+        "title": "ABLE-3B Trajectory Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-06-11",
+        "end_date": "1990-08-18",
+        "bbox": "-106.178, 37.053, -49.4, 63.748",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165201070-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165201070-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ABLE-3B_Trajectory_Data_1",
+        "description": "ABLE-3B_Trajectory_Data is the trajectory data collected during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the \u201cearly warning\u201d response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total \u201creactive\u201d nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. ",
+        "license": "proprietary"
+    },
     {
         "id": "ABLE_897_1",
         "title": "Pre-LBA ABLE-2A and ABLE-2B Expedition Data",
@@ -14468,19 +14793,6 @@
         "description": "This dataset provides 1) a conservative open water mask for future water surface elevation (WSE) extraction from the co-registered AirSWOT Ka-band interferometry data, and 2) high-resolution (1 m) water body distribution maps for water bodies greater than 40 m2 along the NASA Arctic-Boreal Vulnerability Experiment (ABoVE) foundational flight lines. The masks and maps were derived from georeferenced three-band orthomosaics generated from individual images collected during the flights and a semi-automated water classification algorithm based on the Normalized Difference Water Index (NDWI). In total, 3,167 km2 of open water were mapped from 23,380 km2 of flight lines spanning 23 degrees of latitude. Detected water body sizes range from 40 m2 to 15 km2. The image tiles were georeferenced using manually selected ground control points (GCPs). Comparison with manually digitized open water boundaries yields an overall open-water classification accuracy of 98.0%.",
         "license": "proprietary"
     },
-    {
-        "id": "ABoVE_Airborne_AVIRIS_NG_V2_2009_2",
-        "title": "ABoVE: Hyperspectral Imagery AVIRIS-NG, Alaskan and Canadian Arctic, 2017-2019 V2",
-        "catalog": "ORNL_CLOUD STAC Catalog",
-        "state_date": "2017-06-24",
-        "end_date": "2019-08-04",
-        "bbox": "-166.65, 52.16, -103.24, 71.38",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2551345052-ORNL_CLOUD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2551345052-ORNL_CLOUD.html",
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-        "description": "This dataset provides Level 1 radiance and Level 2 surface reflectance measured by the Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument during flights over the Arctic-Boreal Vulnerability Experiment (ABoVE) domain from June to August in 2017 and July to August in 2018 and 2019. AVIRIS-NG measures reflected radiance in 425 bands at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Measurements are radiometrically and geometrically calibrated and provided at approximately 5-meter spatial resolution. The data include 848 flight lines covering areas of interest to the ABoVE campaign over much of Alaska and western Canada. These data will allow researchers to characterize ecosystem structure and function near the height of the growing season. This dataset represents one part of a multi-sensor airborne sampling campaign conducted by eleven different aircraft teams for ABoVE. The L2 reflectance files in this publication were reprocessed with an updated reflectance algorithm and replace Versions 1 of this dataset.  The imagery data are provided in ENVI format along with a RGB composite image for each flight line and shapefiles showing imagery boundaries.",
-        "license": "proprietary"
-    },
     {
         "id": "ABoVE_Airborne_AVIRIS_NG_V3_2362_3",
         "title": "ABoVE: AVIRIS-NG Imaging Spectroscopy for Alaska, Canada, and Iceland, 2017-2022, V3",
@@ -14542,7 +14854,7 @@
         "bbox": "-180, 49, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2909734357-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2909734357-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJpdmVyIGRpc2NoYXJnZSwgMTgwNy0xOTkxLCB2W2Vyc2lvbl0uIDEuMSAocml2ZGlzKVwiLFwiT1JOTF9DTE9VRFwiLFwicml2ZGlzXzE5OVwiLFwiMVwiLDI3NTYyMzA3ODUsNF0iLCJ1bW0iOiJbXCJnbG9iYWwgcml2ZXIgZGlzY2hhcmdlLCAxODA3LTE5OTEsIHZbZXJzaW9uXS4gMS4xIChyaXZkaXMpXCIsXCJPUk5MX0NMT1VEXCIsXCJyaXZkaXNfMTk5XCIsXCIxXCIsMjc1NjIzMDc4NSw0XSJ9/ABoVE_CO2_CH4_Flux_Estimates_2121_1",
         "description": "This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), net ecosystem CO2 exchange (NEE =  Reco - GPP), and methane (CH4) emissions from tundra and boreal wetland soils, across the pan-Arctic and Boreal zone (>49 degrees north) at 1-km spatial resolution. The data were produced through simulations of the Arctic Terrestrial Carbon Flux Model (TCFM-Arctic) and are provided at the daily time step for the years 2003-2015. TCFM-Arctic uses a light-use efficiency approach driven by satellite estimates of FPAR (fraction of absorbed photosynthetically active radiation) to estimate GPP, and autotrophic respiration (Rauto) is estimated as a fraction of GPP. Heterotrophic respiration (Rhetero) is estimated using decomposition rates with environmental constraints applied to three near-surface soil organic carbon (SOC) pools, and Reco is determined as the sum of Ra and Rh. Methane production is estimated using optimal CH4 production rates with environmental constraints applied to the labile carbon pool, and transfer of CH4 from the soil to the atmosphere is modeled through vegetation, soil diffusion, and water ebullition pathways. The model estimates were calibrated and evaluated using >60 tower eddy covariance (EC) sites. Baseline carbon pools were initialized by continuously cycling (spinning-up) the model for 1,000 model years using recent climatology from 1985 to 2002 to reach a dynamic steady-state between estimated net primary productivity (NPP = GPP - Rauto) and near-surface SOC pools. The TCFM-Arctic simulations were extended to the full Arctic-boreal domain at a 1-km spatial resolution using land cover maps representing high latitude vegetation communities. The data are provided in NetCDF and comma-separated values (CSV) formats.",
         "license": "proprietary"
     },
@@ -14568,7 +14880,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3255116494-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3255116494-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGFuZCBzdXJmYWNlIHBoZW5vbG9neSwgZWRkeSBjb3ZhcmlhbmNlIHRvd2VyIHNpdGVzLCBub3J0aCBhbWVyaWNhLCAyMDE3LTIwMjFcIixcIk9STkxfQ0xPVURcIixcIlBoZW5vbG9neV9BbWVyaUZsdXhfTmVvbl9TaXRlc18yMDMzXCIsXCIxXCIsMjc2NDY5MzIxMCwyXSIsInVtbSI6IltcImxhbmQgc3VyZmFjZSBwaGVub2xvZ3ksIGVkZHkgY292YXJpYW5jZSB0b3dlciBzaXRlcywgbm9ydGggYW1lcmljYSwgMjAxNy0yMDIxXCIsXCJPUk5MX0NMT1VEXCIsXCJQaGVub2xvZ3lfQW1lcmlGbHV4X05lb25fU2l0ZXNfMjAzM1wiLFwiMVwiLDI3NjQ2OTMyMTAsMl0ifQ%3D%3D/ABoVE_Domain_Projected_LULC_2353_1",
         "description": "This dataset provides projections of land use and land cover (LULC) change within the Arctic Boreal Vulnerability Experiment (ABoVE) domain, spanning from 2015 to 2100 with a spatial resolution of 0.25 degrees. It includes LULC change under two Shared Socioeconomic Pathways (SSP126 and SSP585) derived from Global Change Analysis Model (GCAM) at an annual scale. The specific land types include: needleleaf evergreen tree-temperate, needleleaf evergreen tree-boreal, needleleaf deciduous tree-boreal, broadleaf evergreen tree-tropical, broadleaf evergreen tree-temperate, broadleaf deciduous tree-tropical, broadleaf deciduous tree-temperate, broadleaf deciduous tree-boreal, broadleaf evergreen shrub-temperate, broadleaf deciduous shrub-temperate, broadleaf deciduous shrub-boreal, C3 arctic grass, C3 grass, C4 grass, and C3 unmanaged rainfed crop. The data were generated by integrating regional LULC projections from GCAM with high-resolution MODIS land cover data and applying two alternative spatial downscaling models: FLUS and Demeter. Data are provided in NetCDF format.",
         "license": "proprietary"
     },
@@ -14581,7 +14893,7 @@
         "bbox": "-168.42, 50.25, -101.74, 71.36",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2111787144-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2111787144-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IGwxIHMtMCBwb2xhcmltZXRyaWMgZGF0YSBmcm9tIHVhdnNhciBwLWJhbmQgc2FyLCBhbGFza2EgYW5kIGNhbmFkYSwgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQUJvVkVfTDFfUF9TQVJfMTgwMFwiLFwiMVwiLDIxNDM0MDE3NzMsN10iLCJ1bW0iOiJbXCJhYm92ZTogbDEgcy0wIHBvbGFyaW1ldHJpYyBkYXRhIGZyb20gdWF2c2FyIHAtYmFuZCBzYXIsIGFsYXNrYSBhbmQgY2FuYWRhLCAyMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBQm9WRV9MMV9QX1NBUl8xODAwXCIsXCIxXCIsMjE0MzQwMTc3Myw3XSJ9/ABoVE_Fire_Severity_dNBR_1564_1",
         "description": "This dataset contains differenced Normalized Burned Ratio (dNBR) at 30-m resolution calculated for burn scars from fires that occurred within the Arctic Boreal and Vulnerability Experiment (ABoVE) Project domain in Alaska and Canada during 1985-2015. The fire perimeters were obtained from the Alaskan Interagency Coordination Center (AICC) and the Natural Resources Canada (NRC) fire occurrence datasets. Only burns with an area larger than 200-ha were included. The dNBR for each burn scar at 30-m pixel resolution was derived from pre- and post-burn Landsat 5, 7, and 8 scenes within a 5-km buffered area surrounding each burn scar using Landsat LEDAPS surface reflection image pairs.",
         "license": "proprietary"
     },
@@ -14594,7 +14906,7 @@
         "bbox": "-180, 30, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2181255288-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2181255288-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IGwxIHMtMCBwb2xhcmltZXRyaWMgZGF0YSBmcm9tIHVhdnNhciBwLWJhbmQgc2FyLCBhbGFza2EgYW5kIGNhbmFkYSwgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQUJvVkVfTDFfUF9TQVJfMTgwMFwiLFwiMVwiLDIxNDM0MDE3NzMsN10iLCJ1bW0iOiJbXCJhYm92ZTogbDEgcy0wIHBvbGFyaW1ldHJpYyBkYXRhIGZyb20gdWF2c2FyIHAtYmFuZCBzYXIsIGFsYXNrYSBhbmQgY2FuYWRhLCAyMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBQm9WRV9MMV9QX1NBUl8xODAwXCIsXCIxXCIsMjE0MzQwMTc3Myw3XSJ9/ABoVE_Footprints_WRF_AK_NWCa_1896_1",
         "description": "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) Footprint data products for receptors (observations) located at positions along flight paths and at various fixed observing sites at circumpolar locations at northern latitudes during 2016-2019. Each aircraft and station position is treated as an independent receptor in the WRF-STILT model in order to simulate the land surface influence on observed atmospheric constituents. The footprints are independent of chemical species and can be applied to different flux models and incorporated into formal inversion frameworks. The particle trajectories that determine the footprint field are constrained only by the outer edges of the WRF modeling domain. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by the thawing of Arctic permafrost.",
         "license": "proprietary"
     },
@@ -14607,7 +14919,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401709-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401709-ORNL_CLOUD.html",
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         "description": "This dataset provides modeled estimates of lichen ground cover at 30 m resolution across the Fortymile study area in interior eastern Alaska, U.S., and the Yukon Territory, Canada, for the nominal year 2015. The mapped lichens are important winter forage for the nine resident caribou (Rangifer tarandus) herds in the region. A random forest modeling approach with vegetation inputs and environmental and spectral predictors was used to estimate lichen cover for 2015. Input data for the model were aggregated from historical in-situ vegetation plots, visual aerial surveys, and recent unmanned aerial system (UAS) imagery to align with 30 m resolution Landsat pixels over the 583,200 km2 study area. The model was also used to estimate lichen cover for the year 2000 by applying the trained model to historical Landsat imagery. An estimate of lichen volume in 2015, based on a published algorithm, is also provided. In addition, site-level presence-absence maps at <1 m resolution and site-level lichen cover maps at both 2 m and 30 resolution are provided. Site-level data were derived from high-resolution RGB imagery collected in summer 2017 from UASs at 22 forested and alpine sites across interior Alaska and western Yukon. Due to the use of two unique UAS imagers at 7 sites, there are 29 data collections across the 22 sites. Each UAS data collection is associated with three data files. These landscape-scale maps could be useful for understanding trends in lichen abundance and distribution, as well as for caribou research, management, and conservation.",
         "license": "proprietary"
     },
@@ -14620,7 +14932,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2226005584-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2226005584-ORNL_CLOUD.html",
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         "description": "This dataset provides spatial data on disturbance agents of fire, insects, and logging in the Arctic Boreal Vulnerability Experiment (ABoVE) core domain at an annual time step from 1987-2012 and 30 m resolution. Using a time-series of Landsat data, the three disturbance types were identified by abrupt changes in Tasseled Cap (dTC) indices of brightness, greenness, and wetness. Disturbances were detected by a Continuous Change Detection and Classification (CCDC) harmonic regression model applied to the time series. The dTC indices and disturbance results are provided.",
         "license": "proprietary"
     },
@@ -14646,7 +14958,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401725-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401725-ORNL_CLOUD.html",
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         "description": "This dataset provides an annual time series of Landsat green surface reflectance and the derived annual trend during the growing season (June and July) for 472,890 lakes across the ABoVE Extended Study Domain from 1984 to 2019. The reflectance data are from Landsat-5, Landsat-7, and Landsat-8 sensors for the green band (center wavelength 560 nm). Over 270,000 Landsat scenes were evaluated and quality assured to be cloud-free and over water. Lakes were selected from HydroLAKES, a global database of lakes of at least 10 ha. Lake surface reflectance was extracted from a 3-by-3-pixel area centered on each lake centroid from the selected Landsat scenes determined from lake polygons. This dataset demonstrates changes in lake color over time in the arctic and boreal regions of North America. Color is relevant for understanding physical, ecological, and biogeochemical processes in some of the world&rsquo;s highest concentrations of lakes where climate change may have significant impacts.",
         "license": "proprietary"
     },
@@ -14659,7 +14971,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402545-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402545-ORNL_CLOUD.html",
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         "description": "This dataset provides ecological field data that were collected during July 2017 and July 2018 from 43 plots spanning gradients of fire history in the upland tundra of the Yukon-Kuskokwim (Y-K) Delta, Alaska. Plot-level data include vegetation species composition and structure, leaf area index (LAI), topography, thaw-depth, and soil characteristics collected at plots burned in 1971-1972, 1985, 2006-2007, 2015, or unburned controls. Vegetation species were sampled along transects using the vegetation point-intercept (VPI) sampling approach and summarized by three metrics of vegetation cover: (1) top-hit cover, (2) any-hit cover, and (3) multi-hit cover. Each metric is the total number of hits for a species divided by the total number of sample points. The VPI any-hit cover metric data were combined with Landsat imagery to develop fractional maps of any-hit cover for four aggregated plant functional types (PFTs); bryophytes, herbs, lichen, and shrubs for the upland tundra area. Photographs of vegetation transects and soil pits are included as companion files.",
         "license": "proprietary"
     },
@@ -14672,7 +14984,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401773-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401773-ORNL_CLOUD.html",
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         "description": "This dataset provides Level 1 (L1) polarimetric radar backscattering coefficient (Sigma-0 or S-0), multi-look complex, polarimetrically calibrated, and georeferenced data products from the UAVSAR P-band SAR radar instrument collected over 74 study sites across Alaska, USA, and western Canada. The radar instrument is a fully polarimetric P-band (ultra-high frequency) SAR operating in the 420-440 MHz band. The flight campaigns took place periodically in May-August 2017 onboard a NASA Gulfstream-III aircraft. Each set of products was produced from a data take (i.e., acquisition) of the UAVSAR P-band SAR radar instrument, where one data take is equivalent to one flight line over a site. Two to four data takes were sought for each site, although for some sites as few as one or as many as six are provided. There were a total of 139 data takes over the 74 sites.",
         "license": "proprietary"
     },
@@ -14685,7 +14997,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2264350397-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2264350397-ORNL_CLOUD.html",
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         "description": "This dataset provides Level 3 (L3) footprint-level gridded metrics and attributes collected from NASA's Land, Vegetation, and Ice Sensor (LVIS)-Facility instrument for each flightline from 2017 and 2019. In 2017, the LVIS-Facility instrument was flown at a nominal flight altitude of 28,000 ft onboard a Dynamic Aviation Super King Air B200T. In 2019, the LVIS-Facility and LVIS-Classic instruments were flown at a nominal flight altitude of 41,000 feet onboard the NASA Gulfstream V. LVIS data are collected as waveforms over footprints of ~10-m diameter. The L3 data include grids of canopy relative height (RH), complexity, canopy cover (CC), ground elevation, and the number of LVIS footprints available to produce a pixel's estimate.. These 30-m resolution grids describe the vertical column of the vegetation canopy in detail with relative canopy height metrics and are enriched with an additional set of canopy cover estimates at a variety of height thresholds. The LVIS-Facility instrument 2017 and 2019 acquisitions span Arctic, boreal, temperate, and sub-tropical landscapes in support of a variety of Arctic-Boreal Vulnerability Experiment (ABoVE)- and Global Ecosystem Dynamics Investigation (GEDI)-related science. In the ABoVE study domain of arctic and boreal Alaska and Western Canada, some of these acquisitions coincide spatially with legacy small-footprint airborne lidar. Data are included for the ABoVE domain and also for the continental U.S. and central America from GEDI. Data files are provided in GeoTIFF format and one geopackage file shows flightlines.",
         "license": "proprietary"
     },
@@ -14711,7 +15023,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2308231345-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2308231345-ORNL_CLOUD.html",
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         "description": "This dataset provides vegetation community characteristics, soil moisture, and biophysical data collected in 2017 from 11 study sites in the ABoVE Study area. The 11 study areas contained 28 sites that were burned by wildfires in 2014 and 2015, and 10 unburned sites in the Northwest Territories (NWT), Canada. Burned sites included peatland and upland. These field data include assessment of burn severity, vegetation inventories, ground cover, diameter and height for trees and shrubs, seedling and sprouting cover, soil moisture, and depth of unfrozen soil. Plot sizes were 10 m x 10 m with smaller subplots for selected measurements. Similar data were collected for these sites in the years 2015-2019 and are available in related separate datasets. Field data are provided in CSV format. The dataset includes digital photographs (in JPEG format) of vegetation conditions at sampling sites.",
         "license": "proprietary"
     },
@@ -14750,7 +15062,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2180373101-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2180373101-ORNL_CLOUD.html",
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         "description": "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory files for receptors located at positions along flight paths and at various fixed observing sites at circumpolar locations above 45 degrees North during 2016-2019. The particle files describe the motion of particles released backward in time over a 10-day period. The particle files are separated into archives by platform type (some platforms are combined) and can be characterized as either low resolution or high resolution depending on whether the subsequent footprint fields were generated on a circumpolar 0.5-degree grid (low-resolution) or both 0.5-degree and 0.1-degree grids (high-resolution). The platforms include flux towers at fixed sites, laboratory measurements of whole air samples collected by Programmable Flask Packages (PFP) onboard aircraft, and observations by NASA's Orbiting Carbon Observatory-2 satellite. These particle files were thinned to retain particle location information only when the particles have non-zero contributions to the corresponding footprint field. These particle files are used to compute the footprint fields available in a companion dataset. The particle trajectories that determine the footprint field are constrained only by the outer edges of the WRF modeling domain. Likewise, the companion footprint files are provided on a regular latitude-longitude grid. This dataset extends previous research on the atmospheric transport of land-surface emissions of greenhouse gases by the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) project. In particular, the content of the low-resolution particle files is similar to those for the CARVE dataset.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402559-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402559-ORNL_CLOUD.html",
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         "description": "This dataset is a synthesis of field plot characterization data, derived above-ground and below-ground combusted carbon, and acquired Fire Weather Index (FWI) System components for burned boreal forest sites across Alaska, USA, the Northwest Territories, and Saskatchewan, Canada from 1983-2016. Unburned plot data are also included. Compiled plot-level characterization data include stand age, disturbance history, tree density, and tree biophysical measurements for calculation of the above-ground (ag) and below-ground (bg) biomass/carbon pools, pre-fire and residual post-fire soil organic layer (SOL) depths and estimates of combustion of tree structural classes. The measured slope and aspect for each site and an assigned moisture class based on topography are also provided. Data from 1019 burned and 152 unburned sites are included. From the estimates of combusted ag and bg carbon pools and SOL losses, the total carbon combusted, the proportion of pre-fire carbon combusted, and the proportion of total carbon combusted were calculated for each plot. FWI System components including moisture and drought codes and indices of fire danger were obtained for each plot from existing data sources based on the plot location, year of burn, and a dynamic start-up date (day of burn, DOB) from the global fire weather database. Data for soil characteristics are included in a separate file.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2787699093-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2787699093-ORNL_CLOUD.html",
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         "description": "This dataset contains tables containing Airborne flight metadata from synthetic aperture radar (SAR) surveys from 2012 to 2022 in Alaska and Canada. NASA's Arctic Boreal Vulnerability Experiment (ABoVE) conducted airborne SAR surveys of over 120,000 km2 in Alaska and northwestern Canada during 2017, 2018, 2019, and 2022. Legacy lines acquired between 2012 and 2015 by other projects are included for completeness and to enable longer times series creation. The data files and companion file contain L-band and P-band airborne SAR metadata acquired during the ABoVE airborne campaigns. Included are detailed descriptions of ~80 SAR flight lines and how each fits into the ABoVE experimental design. Extensive maps, tables, and hyperlinks give direct access to every flight plan as well as individual flight lines. This entry is a guide to enable interested readers to fully explore the ABoVE L- and P-band SAR data.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2600317177-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2600317177-ORNL_CLOUD.html",
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         "description": "This dataset provides daily SnowModel simulation outputs on a 3-km grid for the period 1 September 1980 through 31 August 2020, covering the Core ABoVE Domain. The daily outputs include: air temperature (deg C), relative humidity (%), wind speed (m/s), wind direction (deg from True North), total precipitation (rain+snow) (m), rainfall (m), snowfall (m), snow melt (m), snow sublimation (m), runoff (m), surface temperature (deg C), bulk snowpack thermal resistance (K/W), snow depth (m), snow density (kg/m3), and snow-water-equivalent (SWE) depth (m). Model data inputs included land cover and topography, ground-based observations of snow, remote sensing observations of snow from satellites and aircraft, and meteorological forcing data from weather stations and reanalysis data. The SnowModel includes the processing modules MicroMet, Enbal, SnowDunes, SnowAssin, SnowPack, and SnowTran-3D. The data are provided in NetCDF format.",
         "license": "proprietary"
     },
@@ -14841,7 +15153,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2254714725-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2254714725-ORNL_CLOUD.html",
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         "description": "This dataset provides gridded estimates of carbon dioxide (CO2) emissions from soil respiration occurring within permafrost-affected tundra and boreal ecosystems of Alaska and Northwest Canada at a 300 m spatial resolution for the period 2016-08-18 to 2018-09-12. The estimates include monthly average CO2 flux (gCO2 C m-2 d-1), daily average CO2 flux and error estimates by season (Autumn, Winter, Spring, Summer), estimates of annual offset of CO2 uptake (i.e., vegetation GPP), annual budgets of vegetation gross primary productivity (GPP; gCO2 C m-2 yr-1), and the fraction of open (non-vegetated) water within each 300 m grid cell. Belowground sources of respiration (i.e., root and microbial) are included. The gridded soil CO2 estimates were obtained using seasonal Random Forest models, information from remote sensing, and a new compilation of in-situ soil CO2 flux from Soil Respiration Stations and eddy covariance towers. The flux tower data are provided along with daily gap-filled flux observations for each Soil Respiration station forced diffusion (FD) chamber record. The data cover the NASA ABoVE Domain.",
         "license": "proprietary"
     },
@@ -14854,7 +15166,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162189255-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162189255-ORNL_CLOUD.html",
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         "description": "This dataset provides soil thaw depth and moisture (STDM) measurements and dielectric properties measured by different research teams at sites in Alaska, U.S., and the Northwest Territories, Canada. There are multiple observations per site and 352,719 total observations. The dataset includes 206,000 observations of active layer thickness measured by mechanical probing (6.0%) or ground penetrating radar (GPR) (94.0%). Approximately 16,000 volumetric water content measurements were collected using GPR (22.1%), Hydrosense I and II probes (75.3%), and DualEM (2.6%). Metadata includes the location, time, geospatial coordinates, technique, measurement teams. Measurements were typically collected in August and September near the end of the thaw season and cover the period 2008-06-22 to 2020-08-15.",
         "license": "proprietary"
     },
@@ -14867,7 +15179,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162139721-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162139721-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/ABoVE_Thaw_Depth_1579_1.0",
         "description": "This dataset provides thaw depth measurements made at seven locations across Alaska, during August 2016, June and September 2017, and July-August 2018. Three of the locations are paired unburned-burned sites. At each site, three 30-meter transects were established and thaw depth was measured at 1-meter increments along each transect using a 1.15 m T-shaped thaw depth probe. Locations were selected to investigate fire disturbance, to span the range of permafrost regions from continuous to sporadic, and to cover vegetation types from boreal forests, tussock tundra, upland willow/herbaceous scrub, and lowland fen and wet tundra sites across Alaska. The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -14880,7 +15192,7 @@
         "bbox": "-176.12, 39.41, -67.12, 81.41",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170971555-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170971555-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IG1vZGlzLWRlcml2ZWQgbWF4aW11bSBuZHZpLCBub3J0aGVybiBhbGFza2EgYW5kIHl1a29uIHRlcnJpdG9yeSBmb3IgMjAwMi0yMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBbGFza2FfWXVrb25fTkRWSV8xNjE0XCIsXCIxXCIsMjE2MjE0NTQ5Miw1XSIsInVtbSI6IltcImFib3ZlOiBtb2Rpcy1kZXJpdmVkIG1heGltdW0gbmR2aSwgbm9ydGhlcm4gYWxhc2thIGFuZCB5dWtvbiB0ZXJyaXRvcnkgZm9yIDIwMDItMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQWxhc2thX1l1a29uX05EVklfMTYxNFwiLFwiMVwiLDIxNjIxNDU0OTIsNV0ifQ%3D%3D/ABoVE_Uncertainty_Maps_1652_1",
         "description": "This dataset provides estimates of the uncertainty in components of the carbon cycle including: soil carbon stock, autotrophic respiration (Ra), heterotrophic respiration (Rh), net ecosystem exchange (NEE), net primary production (NPP), and gross primary productivity (GPP) across the entire ABoVE Study Domain at 0.5-degree resolution for the reference year 2003. The uncertainties were calculated from the multi-model (n = 20) disagreement, i.e. standard deviation, from the Trends in Net Land Atmosphere Carbon Exchanges program (TRENDY) and the North American Carbon Program (NACP) regional synthesis model outputs averaged to annual means. This total uncertainty integrates both structural uncertainty of land-surface physics among models as well as inherent parametric uncertainty introduced within models, and uncertainty from forcing data.",
         "license": "proprietary"
     },
@@ -14893,7 +15205,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2111709298-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2111709298-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/ABoVE_reference_grid_v2_1527_2.1",
         "description": "The Arctic - Boreal Vulnerability Experiment (ABoVE) has developed two standardized spatial data products to expedite coordination of research activities and to facilitate data interoperability. The ABoVE Study Domain encompasses the Arctic and boreal regions of Alaska, USA, and the western provinces of Canada, North America. Core and Extended study regions have been designated within this Domain and are provided in a vector representation (Shapefile), a raster representation (GeoTIFF at 1,000-meter spatial resolution), and a NetCDF file. A standard Reference Grid System has been developed to cover the entire Study Domain and extends to the eastern portion of North America. This Reference Grid is provided as nested polygon grids at scales of 240, 30, and 5-meter spatial resolution. The 5-meter grid is new in Version 2. Note that the designated standard projection for all ABoVE products is the Canadian Albers Equal Area projection.",
         "license": "proprietary"
     },
@@ -15339,6 +15651,19 @@
         "description": "Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input.   The \"ACOS\" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances.  The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the \"ACOS\" Level 2 production process.",
         "license": "proprietary"
     },
+    {
+        "id": "ACR3L2DM_1",
+        "title": "ACRIM III Level 2 Daily Mean Data V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-04-05",
+        "end_date": "2013-11-09",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215629739-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215629739-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ACR3L2DM_1",
+        "description": "ACR3L2DM_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Daily Mean Data version 1 product consists of Level 2 total solar irradiance in the form of daily means gathered by the ACRIM III instrument on the ACRIMSAT satellite. The daily means are constructed from the shutter cycle results for each day.",
+        "license": "proprietary"
+    },
     {
         "id": "ACR3L2DM_1",
         "title": "ACRIM III Level 2 Daily Mean Data V001",
@@ -15352,6 +15677,19 @@
         "description": "ACR3L2DM_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Daily Mean Data version 1 product consists of Level 2 total solar irradiance in the form of daily means gathered by the ACRIM III instrument on the ACRIMSAT satellite. The daily means are constructed from the shutter cycle results for each day.",
         "license": "proprietary"
     },
+    {
+        "id": "ACR3L2SC_1",
+        "title": "ACRIM III Level 2 Shutter Cycle Data V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-04-05",
+        "end_date": "2013-11-09",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215629747-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215629747-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ACR3L2SC_1",
+        "description": "ACR3L2SC_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Shutter Cycle Data version 1 product contains Level 2 total solar irradiance in the form of shutter cycles gathered by the ACRIM instrument on the ACRIMSAT satellite.",
+        "license": "proprietary"
+    },
     {
         "id": "ACR3L2SC_1",
         "title": "ACRIM III Level 2 Shutter Cycle Data V001",
@@ -15387,7 +15725,7 @@
         "bbox": "-98.59, 30.2, -76.42, 44.05",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2706398349-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2706398349-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWN0LWFtZXJpY2E6IGwyIGluIHNpdHUgYXRtb3NwaGVyaWMgZ2FzIGNvbmNlbnRyYXRpb25zIGZyb20gZmxhc2tzLCBlYXN0ZXJuIHVzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQUNUQU1FUklDQV9QRlBfMTU3NVwiLFwiMS4yXCIsMjcwNjM0MDQ4MywzXSIsInVtbSI6IltcImFjdC1hbWVyaWNhOiBsMiBpbiBzaXR1IGF0bW9zcGhlcmljIGdhcyBjb25jZW50cmF0aW9ucyBmcm9tIGZsYXNrcywgZWFzdGVybiB1c2FcIixcIk9STkxfQ0xPVURcIixcIkFDVEFNRVJJQ0FfUEZQXzE1NzVcIixcIjEuMlwiLDI3MDYzNDA0ODMsM10ifQ%3D%3D/ACTAMERICA-PICARRO_Ground_1568_1.1",
         "description": "This dataset provides atmospheric carbon dioxide (CO2), carbon monoxide (CO), and methane (CH4) concentrations as measured on a network of instrumented communications towers operated by the Atmospheric Carbon and Transport-America (ACT-America) project. ACT-America's mission spans five years and includes five 6-week intensive field campaigns covering all 4 seasons and 3 regions of the central and eastern United States. Tower-based measurements began in early 2015 and are continuously collecting CO2, CO, and CH4 data to characterize ground-level (>100 m) carbon background conditions to support the periodic airborne measurement campaigns and transport modeling conducted by ACT-America. The towers are instrumented with infrared cavity ring-down spectrometer systems (CRDS; Picarro Inc.). Data are reported for the highest sampling port on each tower. The averaging interval standard deviation and uncertainty derived from periodic flask sample to in-situ measurement comparisons are provided. Complete tower location, elevation, instrument height, and date/time information are also provided.",
         "license": "proprietary"
     },
@@ -15400,7 +15738,7 @@
         "bbox": "-106.49, 27.23, -71.91, 50.55",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2706344412-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2706344412-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIiwidW1tIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIn0%3D/ACTAMERICA_Hskping_1574_1.1",
         "description": "This dataset provides aircraft navigational parameters and related meteorological data (often referred to as \"housekeeping\" data) in support of the research activities for the two aircrafts that flew for the NASA Atmospheric Carbon and Transport-America (ACT-America) project.  ACT-America's mission spans five years and includes five 6-week intensive field campaigns covering all 4 seasons and 3 regions of the central and eastern United States. Two instrumented aircraft platforms, the NASA Langley Beechcraft B200 King Air and the NASA Goddard Space Flight Center's C-130H Hercules, were used to collect high-quality in situ measurements across a variety of continental surfaces and atmospheric conditions. During these flights, aircraft positional, meteorological, and environmental data are recorded by a variety of instruments. For this dataset, measurements include, but are not limited to: latitude, longitude, altitude, ground speed, air temperature, and wind speed and direction. These data are incorporated into related ACT-America flight-instrumented datasets to provide geotrajectory file information for position, attitude, and altitude awareness of instrumented sampling.",
         "license": "proprietary"
     },
@@ -15413,7 +15751,7 @@
         "bbox": "-106.05, 27.23, -71.91, 49.11",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2706335063-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2706335063-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWN0LWFtZXJpY2E6IGwyIGluIHNpdHUgYXRtb3NwaGVyaWMgZ2FzIGNvbmNlbnRyYXRpb25zIGZyb20gZmxhc2tzLCBlYXN0ZXJuIHVzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQUNUQU1FUklDQV9QRlBfMTU3NVwiLFwiMS4yXCIsMjcwNjM0MDQ4MywzXSIsInVtbSI6IltcImFjdC1hbWVyaWNhOiBsMiBpbiBzaXR1IGF0bW9zcGhlcmljIGdhcyBjb25jZW50cmF0aW9ucyBmcm9tIGZsYXNrcywgZWFzdGVybiB1c2FcIixcIk9STkxfQ0xPVURcIixcIkFDVEFNRVJJQ0FfUEZQXzE1NzVcIixcIjEuMlwiLDI3MDYzNDA0ODMsM10ifQ%3D%3D/ACTAMERICA_MFFLL_1649_1.1",
         "description": "This dataset provides Level 2 (L2) remotely sensed column-average carbon dioxide (CO2) concentrations measured during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the United States for the Atmospheric Carbon and Transport (ACT-America) project. Column-average CO2 concentrations were measured at 0.1 second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with a Multi-functional Fiber Laser Lidar (MFLL; Harris Corporation). The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. Complete aircraft flight information, interpolated to the 0.1 second column CO2 reporting frequency, are included, but not limited to, latitude, longitude, altitude, and attitude. Processing for this Level 2 (L2) product included additional processing and calibration procedures described in this document as applied to retrieval of column CO2 from L1 MFLL data. Data users should use this L2 data unless different CO2 retrieval criteria are preferred.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2705731187-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2705731187-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIiwidW1tIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIn0%3D/ACTAMERICA_MFLL_L1_1817_1",
         "description": "This dataset provides Level 1 (L1) remotely sensed differential absorption optical depth (DAOD) measurements made through the Multi-Functional Fiber Laser Lidar (MFLL; Harris Corporation) during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the United States for the Atmospheric Carbon and Transport (ACT-America) project. DAOD were measured at 0.1 second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with MFLL. The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. Complete aircraft flight information, interpolated to the 0.1 second column CO2 reporting frequency, are included, but not limited to, latitude, longitude, altitude, and attitude. Data users should note that a Level 2 (L2) MFLL data product is available (related dataset) that contains all data variables (plus the column-average CO2) included in this L1 MFLL data product but has undergone additional processing and calibrations and is recommended for most use cases.",
         "license": "proprietary"
     },
@@ -15439,7 +15777,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2367023363-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2367023363-ORNL_CLOUD.html",
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         "description": "This dataset provides merged data products acquired during flights over the central and eastern United States as part of the Atmospheric Carbon and Transport - America (ACT-America) project. Two aircraft platforms, the NASA Langley Beechcraft B200 King Air and the NASA Goddard Space Flight Center's C-130H Hercules, were used to collect high-quality in situ measurements across a variety of continental surfaces and atmospheric conditions. The merged data products are composed of continuous in situ measurements of atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), ozone (O3), and ethane (C2H6, B200 aircraft only) that were averaged to uniform intervals and merged with aircraft navigation and meteorological variables as well as trace gas concentrations from discrete flask samples collected with the Programmable Flask Package (PFP). These merged data products provide integrated measurements at intervals useful to the modeling community for studying the transport and fluxes of atmospheric carbon dioxide and methane across North America.",
         "license": "proprietary"
     },
@@ -15452,7 +15790,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2706340483-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2706340483-ORNL_CLOUD.html",
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         "description": "This dataset provides atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), molecular hydrogen (H2), nitrous oxide (N2O), sulfur hexafluoride (SF6), and other trace gas mole fractions (i.e., concentrations) from airborne campaigns over North America for the NASA Atmospheric Carbon and Transport - America (ACT-America) project. ACT-America's mission spanned five years and included five six-week field campaigns covering all four seasons and three regions of the central and eastern United States. Two instrumented aircraft platforms, the NASA Langley Beechcraft B-200 King Air and the NASA Goddard Space Flight Center's C-130 Hercules, were used to collect high-quality in situ measurements across a variety of continental surfaces and atmospheric conditions. The data were derived from laboratory measurements of whole air samples collected by Programmable Flask Packages (PFP) onboard the two ACT-America aircraft. Approximately 10 - 12 discrete flask samples were captured during each of the 195 flights. This dataset provides results from all five campaigns, including Summer 2016, Winter 2017, Fall 2017, Spring 2018, and Summer 2019.",
         "license": "proprietary"
     },
@@ -15465,7 +15803,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2706347267-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2706347267-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIiwidW1tIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIn0%3D/ACTAMERICA_PICARRO_1556_1.2",
         "description": "This dataset provides atmospheric carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), water vapor (H2O), and ozone (O3) concentrations collected during airborne campaigns conducted by the Atmospheric Carbon and Transport-America (ACT-America) project. ACT-America's mission spanned 4 years and included five 6-week airborne campaigns covering all 4 seasons and 3 regions of the central and eastern United States. This dataset provides results from all five campaigns, including Summer 2016, Winter 2017, Fall 2017, Spring 2018, and Summer 2019. Two instrumented aircraft platforms, the NASA Langley Beechcraft B200 King Air and the NASA Goddard Space Flight Center's C-130H Hercules, were used to collect high-quality in situ measurements across a variety of continental surfaces and atmospheric conditions. CO2, CO, CH4, and H2O were collected with an infrared cavity ring-down spectrometer system (CRDS; Picarro Inc.). Ozone data were collected with a dual beam differential UV absorption ozone monitor (Model 205; 2B Technologies). Both aircraft hosted identical arrays of in situ sensors. Complete aircraft flight information including, but not limited to, latitude, longitude, altitude, and meteorological conditions are also provided.",
         "license": "proprietary"
     },
@@ -15478,7 +15816,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2704985393-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704985393-ORNL_CLOUD.html",
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         "description": "This dataset includes hourly output from the WRF-Chem simulation model for North America at a resolution of 27 km for 2016-06-29 through 2019-07-31. WRF-Chem is the Weather Research and Forecasting (WRF) model coupled with Chemistry. The output provides baseline conditions for comparison to data from ACT-America airborne campaigns conducted to study atmospheric CO2 and CH4 from 2016 to 2019. The WRF-Chem (v. 3.6.1) model was driven by meteorological conditions and sea-surface temperatures. The output includes 50 vertical layers up to atmospheric pressure of 50 hPa with 20 levels in the lowest 1 km. It provides information for understanding the fluxes and atmospheric transport of carbon dioxide (CO2), methane (CH4), and ethane (C2H6).",
         "license": "proprietary"
     },
@@ -15647,7 +15985,7 @@
         "bbox": "-176, 0.5, -24.5, 70.5",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2705715010-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2705715010-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIiwidW1tIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIn0%3D/ACT_CASA_Ensemble_Prior_Fluxes_1675_1.1",
         "description": "This data set provides gridded, model-derived gross primary productivity (GPP), ecosystem respiration (RECO), and net ecosystem exchange (NEE) of CO2 biogenic fluxes and their uncertainties at monthly and 3-hourly time scales over 2003-2019 on a 463-m spatial resolution grid for the conterminous United States (CONUS) and on both 5-km and half-degree spatial resolution grids for North America (NA). The biogeochemical model Carnegie Ames Stanford Approach (CASA) was used.",
         "license": "proprietary"
     },
@@ -19189,27 +19527,27 @@
     },
     {
         "id": "AERIALDIGI_Not provided",
-        "title": "Aircraft Scanners - AERIALDIGI",
-        "catalog": "CEOS_EXTRA STAC Catalog",
+        "title": "Aircraft Scanners",
+        "catalog": "USGS_LTA STAC Catalog",
         "state_date": "1987-10-06",
         "end_date": "",
         "bbox": "-180, 24, -60, 72",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AERIALDIGI_Not%20provided",
         "description": "The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.",
         "license": "proprietary"
     },
     {
         "id": "AERIALDIGI_Not provided",
-        "title": "Aircraft Scanners",
-        "catalog": "USGS_LTA STAC Catalog",
+        "title": "Aircraft Scanners - AERIALDIGI",
+        "catalog": "CEOS_EXTRA STAC Catalog",
         "state_date": "1987-10-06",
         "end_date": "",
         "bbox": "-180, 24, -60, 72",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AERIALDIGI_Not%20provided",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections?cursor=eyJqc29uIjoiW1wiYWZyaWNhbiBtYXJpbmUgYXRsYXNcIixcIkNFT1NfRVhUUkFcIixcIkFmcmljYW5fTWFyaW5lX0F0bGFzXCIsXCJub3QgcHJvdmlkZWRcIiwyMjMyNDU5MzE2LDFdIiwidW1tIjoiW1wiYWZyaWNhbiBtYXJpbmUgYXRsYXNcIixcIkNFT1NfRVhUUkFcIixcIkFmcmljYW5fTWFyaW5lX0F0bGFzXCIsXCJub3QgcHJvdmlkZWRcIiwyMjMyNDU5MzE2LDFdIn0%3D/AERIALDIGI_Not%20provided",
         "description": "The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.",
         "license": "proprietary"
     },
@@ -19560,7 +19898,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345879771-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345879771-ORNL_CLOUD.html",
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         "description": "This dataset provides 30 m gridded estimates of aboveground biomass density (AGBD), forest canopy height, and tree canopy coverage for the New England Region of the U.S., including the state of Maine, Vermont, New Hampshire, Massachusetts, Connecticut, and Rhode Island, for the nominal year 2015. It is based on inputs from 1 m resolution Leaf-off LiDAR data collected from 2010 through 2015, high-resolution leaf-on agricultural imagery, and FIA plot-level measurements. Canopy height and tree cover were derived directly from LiDAR data while AGBD was estimated by statistical models that link remote sensing data and FIA plots at the pixel level. Error in AGBD was calculated at the 90% confidence interval. This approach can directly contribute to the formation of a cohesive forest carbon accounting system at national and even international levels, especially via future integrations with NASA's spaceborne LiDAR missions.",
         "license": "proprietary"
     },
@@ -19573,7 +19911,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345798940-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345798940-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIiwidW1tIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIn0%3D/AGB_Carbon_Sequestration_RGGI_1922_1",
         "description": "This dataset provides 90 m estimates of forest aboveground biomass (Mg/ha) for nominal 2011 and projections of carbon sequestration potential for 11 states in the Regional Greenhouse Gas Initiative (RGGI) domain. The RGGI is a cooperative, market-based effort among States in the eastern United States. Estimated biomass and sequestration potential were computed using the Ecosystem Demography (ED) model. The ED Model integrates several key data including climate variables from Daymet and MERRA2 products; physical soil and hydraulic properties from Probabilistic Remapping of SSURGO (POLARIS) and CONUS-SOIL; land cover characteristics from airborne lidar, the National Agriculture Imagery Program (NAIP), and the National Land Cover Database (NLCD); and vegetation parameters from the Forest Inventory and Analysis (FIA) Program.",
         "license": "proprietary"
     },
@@ -19586,7 +19924,7 @@
         "bbox": "-118.17, 60.63, -112.29, 62.91",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3235172460-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3235172460-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIiwidW1tIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIn0%3D/AGB_Great_Slave_Lake_NWT_2365_1",
         "description": "This dataset holds aboveground biomass (ABG) estimates for areas in the Great Slave Lake Region in the Northwest Territories of Canada for 2019. ABG was estimated from L-band synthetic aperture radar (SAR) data obtained from JAXA's Advanced Land Observing Satellite-2 (ALOS-2/PALSAR-2) and supplemented with data from NASA's airborne Uninhabited Aerial Vehicle SAR (UAVSAR) instrument. SAR data were collected from 2017 to 2021. In situ AGB measurements at 14 plots sampled in 2019 were used to calibrate a logarithmic regression to relate the radar datasets to in situ AGB data.  Then, AGB was mapped over available ALOS-2 tiles. The estimates are provided in 20-Mg ha-1 bins at 100-m resolution in cloud optimized GeoTIFF format.",
         "license": "proprietary"
     },
@@ -19599,7 +19937,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389890387-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389890387-ORNL_CLOUD.html",
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         "description": "This dataset, derived from the National Forest Carbon Monitoring System (NFCMS), provides estimates of forest carbon stocks and fluxes in the form of aboveground woody biomass (AGB), total live biomass, total ecosystem carbon, aboveground coarse woody debris (CWD), and net ecosystem productivity (NEP) as a function of the number of years since the most recent disturbance (i.e., stand age) for forests of the conterminous U.S. at a 30 m resolution for the benchmark years 1990, 2000, and 2010. The data were derived from an inventory-constrained version of the Carnegie-Ames-Stanford Approach (CASA) carbon cycle process model that accounts for disturbance processes for each combination of forest type, site productivity, and pre-disturbance biomass. Also provided are the core model data inputs including the year of the most recent disturbance according to the North American Forest Dynamics (NAFD) and the Monitoring Trends in Burn Severity (MTBS) data products; the type of disturbance; biomass estimates from the year 2000 according to the National Biomass and Carbon Dataset (NBCD); forest-type group; a site productivity classification; and the number of years since stand-replacing disturbance. The data are useful for a wide range of applications including monitoring and reporting recent dynamics of forest carbon across the conterminous U.S., assessment of recent trends with attribution to disturbance and regrowth drivers, conservation planning, and assessment of climate change mitigation opportunities within the forest sector.",
         "license": "proprietary"
     },
@@ -19612,7 +19950,7 @@
         "bbox": "-180, -30, 180, 40",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345897759-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345897759-ORNL_CLOUD.html",
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         "description": "This dataset provides gridded estimates of aboveground biomass (AGB) for live dry woody vegetation density in the form of both stock for the baseline year 2003 and annual change in stock from 2003 to 2016. Data are at a spatial resolution of approximately 500 m (463.31 m; 21.47 ha) for three geographies: the biogeographical limit of the Amazon Basin, the country of Mexico, and a Pantropical belt from 40 degrees North to 30 degrees South latitudes. Estimates were derived from a multi-step modeling approach that combined field measurements with co-located LiDAR data from NASA ICESat Geoscience Laser Altimeter System (GLAS) to calibrate a machine-learning (ML) algorithm that generated spatially explicit annual estimates of AGB density. ML inputs included a suite of satellite and ancillary spatial predictor variables compiled as wall-to-wall raster mosaics, including MODIS products, WorldClim climate variables reflecting current (1960-1990) climatic conditions, and SoilGrids soil variables. The 14-year time series was analyzed at the grid cell (~500 m) level with a change point-fitting algorithm to quantify annual losses and gains in AGB. Estimates of AGB and change can be used to derive total losses, gains, and the net change in aboveground carbon density over the study period as well as annual estimates of carbon stock.",
         "license": "proprietary"
     },
@@ -21445,7 +21783,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2236222661-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236222661-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY2Fub3B5IGhlaWdodCBhbmQgYmlvbWFzcyBmcm9tIGxpZGFyIHN1cnZleXMgYXQgbGEgc2VsdmEsIGNvc3RhIHJpY2EsIDE5OTggYW5kIDIwMDVcIixcIk9STkxfQ0xPVURcIixcIkxhU2VsdmFfTGFuZF9Vc2VfMTMxMlwiLFwiMVwiLDI3NzMyNTgwODgsMl0iLCJ1bW0iOiJbXCJjYW5vcHkgaGVpZ2h0IGFuZCBiaW9tYXNzIGZyb20gbGlkYXIgc3VydmV5cyBhdCBsYSBzZWx2YSwgY29zdGEgcmljYSwgMTk5OCBhbmQgMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiTGFTZWx2YV9MYW5kX1VzZV8xMzEyXCIsXCIxXCIsMjc3MzI1ODA4OCwyXSJ9/AKFED_V1_1282_1",
         "description": "This data set provides estimates of annual carbon emissions (kg carbon per square meter) from boreal fires at 450-m resolution for the state of Alaska between 2001 and 2013. To produce these data, daily burned area for 2001 to 2013 was mapped using imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) combined with perimeters from the Alaska Large Fire Database. Carbon consumption was calibrated using available field measurements from black spruce forests in Alaska. Above- and below-ground carbon consumption were modeled based on environmental variables including elevation, day of burning within the fire season, pre-fire tree cover and the differenced normalized burn ratio (dNBR). Modeled uncertainties in carbon consumption are included in the data set. The derived burn area and carbon emissions product, referred to as the Alaskan Fire Emissions Database (AKFED), provides a resource for study of the environmental controls on daily fire dynamics, boreal fire emissions in biogeochemical models, and potential feedbacks from changing fire regimes.",
         "license": "proprietary"
     },
@@ -21497,7 +21835,7 @@
         "bbox": "-169, 50, -120, 74.5",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2236316034-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236316034-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY2FydmU6IGwyIGF0bW9zcGhlcmljIGNvMiwgY28gYW5kIGNoNCBjb25jZW50cmF0aW9ucywgaGFydmFyZCBjcmRzLCBhbGFza2EsIDIwMTItMjAxNFwiLFwiT1JOTF9DTE9VRFwiLFwiQ0FSVkVfTDJfQXRtb3NHYXNfSGFydmFyZF8xNDAzXCIsXCIxXCIsMjIzNjMxNjE0Myw5XSIsInVtbSI6IltcImNhcnZlOiBsMiBhdG1vc3BoZXJpYyBjbzIsIGNvIGFuZCBjaDQgY29uY2VudHJhdGlvbnMsIGhhcnZhcmQgY3JkcywgYWxhc2thLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkNBUlZFX0wyX0F0bW9zR2FzX0hhcnZhcmRfMTQwM1wiLFwiMVwiLDIyMzYzMTYxNDMsOV0ifQ%3D%3D/AK_Regional_CO2_Flux_1389_1",
         "description": "This data set provides estimates of 3-hourly net ecosystem CO2 exchange (NEE) at 0.5-degree resolution over the state of Alaska for 2012-2014. The NEE estimates are the output are from Geostatistical Inverse Modeling of a subset of CARVE aircraft CO2 data, WRF-STILT footprints, and PVPRM-SIF data from flux towers (CRV: located in Fox, AK and BRW: located just outside Barrow, AK). Daily mean NEE is also provided as calculated for all of Alaska and for four sub-regions (0.5-degree resolution) that were defined across Alaska, based on general landcover type: North Slope Tundra, South and West Tundra, Boreal Forests, and Mixed (all other). Also provided are derived annual carbon budgets for (1) all of Alaska with defined contributions from biogenic, fossil fuel, and biomass burning sources and (2) annual biogenic carbon budgets for the four landcover-type regions of Alaska. Provided for completeness are the CARVE aircraft atmospheric measurement data used in estimating NEE.",
         "license": "proprietary"
     },
@@ -21510,7 +21848,7 @@
         "bbox": "-167.48, 65.59, -143.98, 73.8",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401689-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401689-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/AK_Tundra_PFT_FractionalCover_1830_1",
         "description": "This dataset provides predicted continuous-field cover for tundra plant functional types (PFTs), across ~125,000 km2 of Alaska's North Slope at 30-m resolution. The data cover the period 2010-07-01 to 2015-08-31. The data were derived using a random forest data-mining algorithm, predictors derived from Landsat satellite observations (surface reflectance composites for ~15-day periods from May-August), and field vegetation cover and site characterization data spanning bioclimatic and geomorphic gradients. The field vegetation cover was stratified by nine PFTs, plus open water, bare ground and litter, and using the cover metrics total cover (areal cover including the understory) and top cover (uppermost canopy or ground cover), resulting in a total of 19 field cover types. The field data and predictor values at the field sites are also included.",
         "license": "proprietary"
     },
@@ -21523,7 +21861,7 @@
         "bbox": "-176.1, 51, -122.5, 75.91",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2262496056-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2262496056-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IGwxIHMtMCBwb2xhcmltZXRyaWMgZGF0YSBmcm9tIHVhdnNhciBwLWJhbmQgc2FyLCBhbGFza2EgYW5kIGNhbmFkYSwgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQUJvVkVfTDFfUF9TQVJfMTgwMFwiLFwiMVwiLDIxNDM0MDE3NzMsN10iLCJ1bW0iOiJbXCJhYm92ZTogbDEgcy0wIHBvbGFyaW1ldHJpYyBkYXRhIGZyb20gdWF2c2FyIHAtYmFuZCBzYXIsIGFsYXNrYSBhbmQgY2FuYWRhLCAyMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBQm9WRV9MMV9QX1NBUl8xODAwXCIsXCIxXCIsMjE0MzQwMTc3Myw3XSJ9/AK_Yukon_PFT_TopCover_2032_1.1",
         "description": "This dataset contains data files of modeled top cover estimates by plant functional type (PFT) for the Arctic and Boreal Alaska and Yukon regions. Estimates are presented for single years at 5-year intervals from 1985 to 2020. Also included are root mean square error (RMSE) and source year, which indicate the specific year from which pixels in the top cover maps were derived. Plant functional types include conifer trees, broadleaf trees, deciduous shrubs, evergreen shrubs, graminoids, forbs, and light macrolichens. Estimates were derived through the combination of two stochastic gradient-boosting models that used environmental and spectral covariates. Environmental covariates represented topographic, climatic, permafrost, hydrographic, and phenological gradients, and spectral covariates were based on Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI) data collected between 1984-2020. These maps catalog widespread changes in the distribution of PFTs occurring in the Arctic and boreal forest ecosystems, such as tundra shrub expansion, due to the intensification of disturbances such as fire and climate-driven vegetation dynamics.",
         "license": "proprietary"
     },
@@ -21783,7 +22121,7 @@
         "bbox": "-171.8, 59.35, -133.05, 74.72",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2953829614-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2953829614-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/ALT_Maps_AK_CA_2332_1",
         "description": "The dataset consists of maps of estimated Active Layer Thickness (ALT) at 30-m resolution throughout the northern half of Alaska for the years 2014, 2015, and 2017. The maps were generated by using a machine learning-based regression and a set of spatial data layers to upscale ALT from narrow swaths of ALT that were retrieved from airborne high-resolution P-band Polarimetric Synthetic Aperture Radar (PolSAR) imagery. The data are provided in cloud-optimized GeoTIFF format.",
         "license": "proprietary"
     },
@@ -21813,6 +22151,110 @@
         "description": "The Gridded Altimeter Fields with Enhanced Coastal Coverage data product contains Sea Surface Height Anomalies (SSHA or SLA) and zonal and meridional geostrophic velocities for the US west coast encompassing 35.25 deg-48.5 deg N latitude and 227.75 deg-248.5 deg E longitude.  This annually updated data product extends from October 14, 1992 through January 19, 2011.  SSHA and current velocities are derived from the AVISO quarter degree DT UPD MSLA version 3.0 grids, 0.75 deg and greater away from the coast.  Values within 0.75 deg of the coast are derived from tide gauge observations and interpolated out to the altimeter filled region.  Details on how these data are derived can be found in: Saraceno, M., P. T. Strub, and P. M. Kosro (2008), Estimates of sea surface height and near-surface alongshore coastal currents from combinations of altimeters and tide gauges, J. Geophys. Res., 113, C11013, doi:10.1029/2008JC004756.",
         "license": "proprietary"
     },
+    {
+        "id": "AM1ANC_001",
+        "title": "MISR EDOS Non-orderable AM1ANC",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2862778781-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862778781-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ANC_001",
+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "AM1ATTF_001",
+        "title": "MISR TADS Non-orderable",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2843684614-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2843684614-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/AM1ATTF_001",
+        "description": "MISR TADS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "AM1ATTH0_001",
+        "title": "MISR AM1ATTH0 S4PM Non-orderable",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950962-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950962-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/AM1ATTH0_001",
+        "description": "MISR AM1ATTH0 S4PM Non-orderable",
+        "license": "proprietary"
+    },
+    {
+        "id": "AM1ATTHF_001",
+        "title": "MISR AM1ATTHF S4PM Non-orderable",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950944-LARC_CLOUD.html",
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+        "description": "MISR AM1ATTN0 S4PM Non-orderable",
+        "license": "proprietary"
+    },
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+        "id": "AM1ATTNF_001",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768036-LARC_CLOUD.html",
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+        "license": "proprietary"
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2937950967-LARC_CLOUD.html",
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+        "license": "proprietary"
+    },
+    {
+        "id": "AM1EPHN0_001",
+        "title": "Preprocessed AM-1 Platform Ephemeris Data from L0 in Native format. V001",
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+        "end_date": "",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768143-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768143-LARC_CLOUD.html",
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+        "description": "This collection consists of AM-1 Platform Ephemeris Data that has been pre-processed by ECS to an internal standard supported by the ECS SDP Toolkit; the ephemeris data source is AM-1 measurements.",
+        "license": "proprietary"
+    },
     {
         "id": "AM1EPHNE_6.1NRT",
         "title": "Files containing only extrapolated orbital metadata, to be read via SDP Toolkit, Binary Format",
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         "description": "This data set provides measurements from the Amazonian Aerosol Characterization Experiment (AMAZE-08) carried out during the wet season from February 4 to March 21, 2008 in the central Amazon Basin. Aerosol and atmospheric samples and measurements were collected at Tower TT34 located 60 km NNW of downtown Manaus, and at Tower K34, located 1.6 km from the TT34 site. Physical characterization of aerosols included size, mass, and number distributions and light scattering properties. Chemical characterization included mass concentrations of organics, major anions and cations, and trace metals. Aerosol sources were estimated with measurements of black carbon and biogenic particles. Meteorological and atmospheric conditions including relative humidity, temperature, wind speed and direction, rain, photosynthetically active radiation (PAR), downward and upward solar irradiance, and condensation nuclei were measured. Atmospheric trace gases and volatile organic compounds (VOCs) were sampled and analyzed.",
         "license": "proprietary"
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         "description": "ARCTAS_AerosolTraceGas_AircraftInSitu_DC8_Data is the in-situ aerosol trace gas data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by ion chromatographs, gamma ray spectrometers, and alpha-spectrometers. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_AerosolTraceGas_AircraftInSitu_DC8_Data_1",
+        "title": "ARCTAS DC-8 Aircraft In-situ Aerosol Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-18",
+        "end_date": "2008-07-14",
+        "bbox": "180, 32, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971270-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971270-LARC_CLOUD.html",
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+        "description": "ARCTAS_AerosolTraceGas_AircraftInSitu_DC8_Data is the in-situ aerosol trace gas data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by ion chromatographs, gamma ray spectrometers, and alpha-spectrometers. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
+    {
+        "id": "ARCTAS_Aerosol_AircraftInSitu_DC8_Data_1",
+        "title": "ARCTAS DC-8 Aircraft In-situ Aerosol Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-16",
+        "end_date": "2008-07-15",
+        "bbox": "179.9467, 32, -36.5, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971228-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971228-LARC_CLOUD.html",
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+        "description": "ARCTAS_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from the APS, SMPS, CPC, Nephelometer, UHSAS, AMS, SP2, CCN Counter, PILS/IC and PILS/WSOC are featured in this product. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_Aerosol_AircraftInSitu_DC8_Data_1",
         "title": "ARCTAS DC-8 Aircraft In-situ Aerosol Data",
@@ -25063,6 +25531,19 @@
         "description": "ARCTAS_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected by the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the Particle Soot Absorption Photometer (PSAP), Aerodynamic Particle Sizer (APS), Condensation Particle Counter (CPC), Single Particle Soot Photometer (SP2), Differential Mobility Analyzer (DMA), Long Differential Mobility Analyzer (LDMA), Tandem Differential Mobility Analyzer (TDMA), Optical Particle Counter (OPC), and the Aerosol Mass Spectrometer (AMS). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_Aerosol_AircraftInSitu_P3B_Data_1",
+        "title": "ARCTAS P-3B Aircraft Aerosol In-situ Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-25",
+        "end_date": "2008-07-13",
+        "bbox": "-164, 32, -68, 81",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971243-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971243-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGFzIHAtM2IgYWlyY3JhZnQgYWF0czE0IGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFSQ1RBU19BaXJjcmFmdFJlbW90ZVNlbnNpbmdfUDNCX0FBVFMxNF9EYXRhXCIsXCIxXCIsMzIyODk3MTI3OSwxXSIsInVtbSI6IltcImFyY3RhcyBwLTNiIGFpcmNyYWZ0IGFhdHMxNCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBUkNUQVNfQWlyY3JhZnRSZW1vdGVTZW5zaW5nX1AzQl9BQVRTMTRfRGF0YVwiLFwiMVwiLDMyMjg5NzEyNzksMV0ifQ%3D%3D/ARCTAS_Aerosol_AircraftInSitu_P3B_Data_1",
+        "description": "ARCTAS_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected by the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the Particle Soot Absorption Photometer (PSAP), Aerodynamic Particle Sizer (APS), Condensation Particle Counter (CPC), Single Particle Soot Photometer (SP2), Differential Mobility Analyzer (DMA), Long Differential Mobility Analyzer (LDMA), Tandem Differential Mobility Analyzer (TDMA), Optical Particle Counter (OPC), and the Aerosol Mass Spectrometer (AMS). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_AircraftRemoteSensing_BE200_HSRL_Data_1",
         "title": "ARCTAS BE-200 Aircraft HSRL Data",
@@ -25076,6 +25557,32 @@
         "description": "ARCTAS_AircraftRemoteSensing_BE200_HSRL_Data contains data collected by the High Spectral Resolution Lidar (HSRL) onboard the BE-200 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_AircraftRemoteSensing_BE200_HSRL_Data_1",
+        "title": "ARCTAS BE-200 Aircraft HSRL Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-30",
+        "end_date": "2008-07-14",
+        "bbox": "-168, 36.5, -76.5, 76",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971310-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971310-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ARCTAS_AircraftRemoteSensing_BE200_HSRL_Data_1",
+        "description": "ARCTAS_AircraftRemoteSensing_BE200_HSRL_Data contains data collected by the High Spectral Resolution Lidar (HSRL) onboard the BE-200 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
+    {
+        "id": "ARCTAS_AircraftRemoteSensing_DC8_DIAL_Data_1",
+        "title": "ARCTAS Differential Absorption Lidar (DIAL) Remotely Sensed Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-31",
+        "end_date": "2008-07-15",
+        "bbox": "180, 32, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971224-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971224-LARC_CLOUD.html",
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+        "description": "The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_AircraftRemoteSensing_DC8_DIAL_Data_1",
         "title": "ARCTAS Differential Absorption Lidar (DIAL) Remotely Sensed Data",
@@ -25102,6 +25609,19 @@
         "description": "ARCTAS_AircraftRemoteSensing_P3B_AATS14_Data contains remotely sensed data collected via the Ames 14-Channel Airborne Tracking Sunphotometer (AATS14) onboard the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_AircraftRemoteSensing_P3B_AATS14_Data_1",
+        "title": "ARCTAS P-3B Aircraft AATS14 Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-25",
+        "end_date": "2008-07-13",
+        "bbox": "-164, 32, -68, 81",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971279-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971279-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ARCTAS_AircraftRemoteSensing_P3B_AATS14_Data_1",
+        "description": "ARCTAS_AircraftRemoteSensing_P3B_AATS14_Data contains remotely sensed data collected via the Ames 14-Channel Airborne Tracking Sunphotometer (AATS14) onboard the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_AircraftRemoteSensing_P3B_CAR_Data_1",
         "title": "ARCTAS P-3B Aircraft CAR Data",
@@ -25115,6 +25635,32 @@
         "description": "ARCTAS_AircraftRemoteSensing_P3B_CAR_Data contains remotely sensed data collected via the Cloud Absorption Radiometer (CAR) onboard the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_AircraftRemoteSensing_P3B_CAR_Data_1",
+        "title": "ARCTAS P-3B Aircraft CAR Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-25",
+        "end_date": "2008-07-13",
+        "bbox": "-164, 32, -46.5, 81",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971208-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971208-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGFzIHAtM2IgYWlyY3JhZnQgYWF0czE0IGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFSQ1RBU19BaXJjcmFmdFJlbW90ZVNlbnNpbmdfUDNCX0FBVFMxNF9EYXRhXCIsXCIxXCIsMzIyODk3MTI3OSwxXSIsInVtbSI6IltcImFyY3RhcyBwLTNiIGFpcmNyYWZ0IGFhdHMxNCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBUkNUQVNfQWlyY3JhZnRSZW1vdGVTZW5zaW5nX1AzQl9BQVRTMTRfRGF0YVwiLFwiMVwiLDMyMjg5NzEyNzksMV0ifQ%3D%3D/ARCTAS_AircraftRemoteSensing_P3B_CAR_Data_1",
+        "description": "ARCTAS_AircraftRemoteSensing_P3B_CAR_Data contains remotely sensed data collected via the Cloud Absorption Radiometer (CAR) onboard the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
+    {
+        "id": "ARCTAS_Cloud_AircraftInSitu_DC8_Data_1",
+        "title": "ARCTAS DC-8 Aircraft In-situ Cloud Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-16",
+        "end_date": "2008-07-15",
+        "bbox": "180, 32, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228970878-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228970878-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ARCTAS_Cloud_AircraftInSitu_DC8_Data_1",
+        "description": "ARCTAS_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from the CAPS instrument is featured in this data product and data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_Cloud_AircraftInSitu_DC8_Data_1",
         "title": "ARCTAS DC-8 Aircraft In-situ Cloud Data",
@@ -25128,6 +25674,19 @@
         "description": "ARCTAS_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from the CAPS instrument is featured in this data product and data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_Ground_Data_1",
+        "title": "ARCTAS Ground Site Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-05",
+        "end_date": "2008-05-01",
+        "bbox": "-169.5, 32, -36.5, 86",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971137-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971137-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ARCTAS_Ground_Data_1",
+        "description": "ARCTAS_Ground_Data is the ground site data collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. The ground site was located at Barrow, Alaska. This data product features BrO measured by the MAX-DOAS method and data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_Ground_Data_1",
         "title": "ARCTAS Ground Site Data",
@@ -25141,6 +25700,19 @@
         "description": "ARCTAS_Ground_Data is the ground site data collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. The ground site was located at Barrow, Alaska. This data product features BrO measured by the MAX-DOAS method and data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_JValue_AircraftInSitu_DC8_Data_1",
+        "title": "ARCTAS DC-8 Aircraft In-situ Photolysis Rate Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-17",
+        "end_date": "2008-07-14",
+        "bbox": "180, 32, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971380-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971380-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ARCTAS_JValue_AircraftInSitu_DC8_Data_1",
+        "description": "ARCTAS_JValue_AircraftInSitu_DC8_Data is the in-situ photolysis rate data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the CCD-based Actinic Flux Spectroradiometer (CAFS). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_JValue_AircraftInSitu_DC8_Data_1",
         "title": "ARCTAS DC-8 Aircraft In-situ Photolysis Rate Data",
@@ -25167,6 +25739,32 @@
         "description": "ARCTAS_Merge_DC8_Aircraft_Data is the pre-generated merge files created from a variety of in-situ instrumentation collecting measurements onboard the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_Merge_DC8-Aircraft_Data_1",
+        "title": "ARCTAS DC-8 Aircraft Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-30",
+        "end_date": "2008-07-15",
+        "bbox": "180, 32, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971525-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971525-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ARCTAS_Merge_DC8-Aircraft_Data_1",
+        "description": "ARCTAS_Merge_DC8_Aircraft_Data is the pre-generated merge files created from a variety of in-situ instrumentation collecting measurements onboard the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
+    {
+        "id": "ARCTAS_Merge_P3B-Aircraft_Data_1",
+        "title": "ARCTAS P-3B Aircraft Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-31",
+        "end_date": "2008-07-13",
+        "bbox": "-167, 32, -60, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971226-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971226-LARC_CLOUD.html",
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+        "description": "ARCTAS_Merge_P3B-Aircraft_Data contains pre-generated merge data files for the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_Merge_P3B-Aircraft_Data_1",
         "title": "ARCTAS P-3B Aircraft Merge Data",
@@ -25193,6 +25791,19 @@
         "description": "ARCTAS_MetNav_AircraftInSitu_DC8_Data is the in-situ meteorological and navigational data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Also featured in this product is water vapor data from the DLH. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_MetNav_AircraftInSitu_DC8_Data_1",
+        "title": "ARCTAS DC-8 Aircraft In-situ Meteorological and Navigational Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-16",
+        "end_date": "2008-07-15",
+        "bbox": "180, 32, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971290-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971290-LARC_CLOUD.html",
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+        "description": "ARCTAS_MetNav_AircraftInSitu_DC8_Data is the in-situ meteorological and navigational data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Also featured in this product is water vapor data from the DLH. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_MetNav_AircraftInSitu_P3B_Data_1",
         "title": "ARCTAS P-3B Aircraft In-situ Meteorological and Navigational Data",
@@ -25206,6 +25817,19 @@
         "description": "ARCTAS_MetNav_AircraftInSitu_P3B_Data is the in-situ meteorological and navigational data for the P-3B aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_MetNav_AircraftInSitu_P3B_Data_1",
+        "title": "ARCTAS P-3B Aircraft In-situ Meteorological and Navigational Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-23",
+        "end_date": "2008-07-14",
+        "bbox": "-164, 32, -68, 81",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971222-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971222-LARC_CLOUD.html",
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+        "description": "ARCTAS_MetNav_AircraftInSitu_P3B_Data is the in-situ meteorological and navigational data for the P-3B aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_Model_Data_1",
         "title": "ARCTAS Model Data",
@@ -25232,6 +25856,19 @@
         "description": "ARCTAS_Ozonesondes_Data contains data collected via ozonesonde launches during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_Ozonesondes_Data_1",
+        "title": "ARCTAS Ozonesondes Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-04-01",
+        "end_date": "2008-07-13",
+        "bbox": "158, 39.5, -157, 80.5",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971149-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971149-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ARCTAS_Ozonesondes_Data_1",
+        "description": "ARCTAS_Ozonesondes_Data contains data collected via ozonesonde launches during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_Radiation_AircraftInSitu_P3B_Data_1",
         "title": "ARCTAS P-3B Aircraft Radiation In-situ Data",
@@ -25245,6 +25882,32 @@
         "description": "ARCTAS_AircraftInSitu_Radiation_P3B_Data is the in-situ radiation data collected onboard the P-3B aircraft as part of the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) sub-orbital campaign. Data in this product were collected via the Broadband Radiometer (BBR) and Solar Spectral Flux Radiometer (SSFR). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_Radiation_AircraftInSitu_P3B_Data_1",
+        "title": "ARCTAS P-3B Aircraft Radiation In-situ Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-29",
+        "end_date": "2008-07-12",
+        "bbox": "-164, 32, -68, 81",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971549-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971549-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGFzIHAtM2IgYWlyY3JhZnQgYWF0czE0IGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFSQ1RBU19BaXJjcmFmdFJlbW90ZVNlbnNpbmdfUDNCX0FBVFMxNF9EYXRhXCIsXCIxXCIsMzIyODk3MTI3OSwxXSIsInVtbSI6IltcImFyY3RhcyBwLTNiIGFpcmNyYWZ0IGFhdHMxNCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBUkNUQVNfQWlyY3JhZnRSZW1vdGVTZW5zaW5nX1AzQl9BQVRTMTRfRGF0YVwiLFwiMVwiLDMyMjg5NzEyNzksMV0ifQ%3D%3D/ARCTAS_Radiation_AircraftInSitu_P3B_Data_1",
+        "description": "ARCTAS_AircraftInSitu_Radiation_P3B_Data is the in-situ radiation data collected onboard the P-3B aircraft as part of the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) sub-orbital campaign. Data in this product were collected via the Broadband Radiometer (BBR) and Solar Spectral Flux Radiometer (SSFR). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
+    {
+        "id": "ARCTAS_Satellite_Data_1",
+        "title": "ARCTAS Supplementary Satellite Data Products",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-01",
+        "end_date": "2008-07-31",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971242-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971242-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGFzIHAtM2IgYWlyY3JhZnQgYWF0czE0IGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFSQ1RBU19BaXJjcmFmdFJlbW90ZVNlbnNpbmdfUDNCX0FBVFMxNF9EYXRhXCIsXCIxXCIsMzIyODk3MTI3OSwxXSIsInVtbSI6IltcImFyY3RhcyBwLTNiIGFpcmNyYWZ0IGFhdHMxNCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBUkNUQVNfQWlyY3JhZnRSZW1vdGVTZW5zaW5nX1AzQl9BQVRTMTRfRGF0YVwiLFwiMVwiLDMyMjg5NzEyNzksMV0ifQ%3D%3D/ARCTAS_Satellite_Data_1",
+        "description": "ARCTAS_Satellite_Data is the supplementary satellite data for the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from TES, MOPITT and OMI are featured in this data product and data collection is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_Satellite_Data_1",
         "title": "ARCTAS Supplementary Satellite Data Products",
@@ -25258,6 +25921,19 @@
         "description": "ARCTAS_Satellite_Data is the supplementary satellite data for the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from TES, MOPITT and OMI are featured in this data product and data collection is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_TraceGas_AircraftInSitu_DC8_Data_1",
+        "title": "ARCTAS DC-8 Aircraft In-situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-18",
+        "end_date": "2008-07-14",
+        "bbox": "180, 32, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971091-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971091-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ARCTAS_TraceGas_AircraftInSitu_DC8_Data_1",
+        "description": "ARCTAS_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the Trace Organic Gas Analyzer (TOGA), Airborne Tropospheric Hydroxides Sensor (ATHOS), HOx Chemical Ionization Mass Spectrometer (HOxCIMS), Thermal Dissociation - Laser Induced Fluorescence (TD-LIF), Differential Absorption of CO, CH4, N2) Measurements (DACOM), Differential Absorption Lider (DIAL), Chemical Ionization Mass Spectrometer (CIMS), Non-dispersive Infrared Gas Analyzer (NDIR Gas Analyzer), NCAR NOxyO3, and the Proton Transfer Reaction Mass Spectrometer (PTR-MS). Data was also collected by gas chromatography and fluorescence spectroscopy. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_TraceGas_AircraftInSitu_DC8_Data_1",
         "title": "ARCTAS DC-8 Aircraft In-situ Trace Gas Data",
@@ -25284,6 +25960,32 @@
         "description": "ARCTAS_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data for the P-3B aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. This product features data from the Carbon monOxide by Attenuated Laser Transmission (COBALT) instrument. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
         "license": "proprietary"
     },
+    {
+        "id": "ARCTAS_TraceGas_AircraftInSitu_P3B_Data_1",
+        "title": "ARCTAS P-3B Aircraft In-situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-23",
+        "end_date": "2008-07-14",
+        "bbox": "-164, 32, -68, 81",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971163-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971163-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGFzIHAtM2IgYWlyY3JhZnQgYWF0czE0IGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFSQ1RBU19BaXJjcmFmdFJlbW90ZVNlbnNpbmdfUDNCX0FBVFMxNF9EYXRhXCIsXCIxXCIsMzIyODk3MTI3OSwxXSIsInVtbSI6IltcImFyY3RhcyBwLTNiIGFpcmNyYWZ0IGFhdHMxNCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBUkNUQVNfQWlyY3JhZnRSZW1vdGVTZW5zaW5nX1AzQl9BQVRTMTRfRGF0YVwiLFwiMVwiLDMyMjg5NzEyNzksMV0ifQ%3D%3D/ARCTAS_TraceGas_AircraftInSitu_P3B_Data_1",
+        "description": "ARCTAS_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data for the P-3B aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. This product features data from the Carbon monOxide by Attenuated Laser Transmission (COBALT) instrument. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
+    {
+        "id": "ARCTAS_Trajectory_Data_1",
+        "title": "ARCTAS Kinematic Trajectories",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2008-03-30",
+        "end_date": "2008-07-14",
+        "bbox": "180, 7.5, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971194-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971194-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJsZS0zYiBlbGVjdHJhIGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFCTEUtM0JfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfRWxlY3RyYV9EYXRhXCIsXCIxXCIsMzE2NTI1MTI3OSwzXSIsInVtbSI6IltcImFibGUtM2IgZWxlY3RyYSBpbi1zaXR1IHRyYWNlIGdhcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBQkxFLTNCX1RyYWNlR2FzX0FpcmNyYWZ0SW5TaXR1X0VsZWN0cmFfRGF0YVwiLFwiMVwiLDMxNjUyNTEyNzksM10ifQ%3D%3D/ARCTAS_Trajectory_Data_1",
+        "description": "ARCTAS_Trajectory_Data is the Kinematic Backward and Forward Trajectories derived for the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. The kinematic trajectories are driven by hourly FSU-WRF winds and initialized at a variety of pressure levels (flight level, 850 HPa, 700 HPa, 500 HPa, and 300 HPa). Data collection for this product is complete.     The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA\u2019s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth\u2019s environment and climate.",
+        "license": "proprietary"
+    },
     {
         "id": "ARCTAS_Trajectory_Data_1",
         "title": "ARCTAS Kinematic Trajectories",
@@ -31052,7 +31754,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734409850-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734409850-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMsIHBvcGxhcnMsIGFyY3RpYyBhbmQgaW50ZXJpb3IgYWsgYW5kIHl0LCBjYW5hZGEsIDIwMDMtMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiUG9wbGFyX1ZlZ19QbG90c18xMzc2XCIsXCIxXCIsMjE3MDk2OTk0MSw1XSIsInVtbSI6IltcImFyY3RpYyB2ZWdldGF0aW9uIHBsb3RzLCBwb3BsYXJzLCBhcmN0aWMgYW5kIGludGVyaW9yIGFrIGFuZCB5dCwgY2FuYWRhLCAyMDAzLTIwMDVcIixcIk9STkxfQ0xPVURcIixcIlBvcGxhcl9WZWdfUGxvdHNfMTM3NlwiLFwiMVwiLDIxNzA5Njk5NDEsNV0ifQ%3D%3D/ASCENDS_AVOCET_CA_NV_Feb_2016_2115_1",
         "description": "This dataset provides in situ airborne measurements of atmospheric carbon dioxide (CO2) over California and Nevada on February 10-11, 2016. Measurements were taken onboard a DC-8 aircraft during this Active Sensing of CO2 Emissions over Nights, Days and Seasons (ASCENDS) airborne deployment. CO2 was measured with NASA's Atmospheric Vertical Observations of CO2 in the Earth's Troposphere (AVOCET) instrument while over California and Nevada. The objective of this deployment was to assess the performance of the 2016 version of the CO2 Sounder LiDAR.  The two flights were flown to compare results from an experimental LiDAR sensor with the AVOCET instrument.  Aircraft navigation and flight meteorological data are also provided.  The data are provided in ICARTT and comma-separated values (CSV) formats.",
         "license": "proprietary"
     },
@@ -31065,7 +31767,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734422038-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734422038-ORNL_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMgb24gdW5hbGFza2EgaXNsYW5kLCBhbGV1dGlhbiBpc2xhbmRzLCBhbGFza2EsIDIwMDdcIixcIk9STkxfQ0xPVURcIixcIlVuYWxhc2thX1ZlZ19QbG90c18xMzc1XCIsXCIxXCIsMjE3MDk2OTkxOSw1XSIsInVtbSI6IltcImFyY3RpYyB2ZWdldGF0aW9uIHBsb3RzIG9uIHVuYWxhc2thIGlzbGFuZCwgYWxldXRpYW4gaXNsYW5kcywgYWxhc2thLCAyMDA3XCIsXCJPUk5MX0NMT1VEXCIsXCJVbmFsYXNrYV9WZWdfUGxvdHNfMTM3NVwiLFwiMVwiLDIxNzA5Njk5MTksNV0ifQ%3D%3D/ASCENDS_LAS_IN_Sept_2014_2116_1",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMsIHBvcGxhcnMsIGFyY3RpYyBhbmQgaW50ZXJpb3IgYWsgYW5kIHl0LCBjYW5hZGEsIDIwMDMtMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiUG9wbGFyX1ZlZ19QbG90c18xMzc2XCIsXCIxXCIsMjE3MDk2OTk0MSw1XSIsInVtbSI6IltcImFyY3RpYyB2ZWdldGF0aW9uIHBsb3RzLCBwb3BsYXJzLCBhcmN0aWMgYW5kIGludGVyaW9yIGFrIGFuZCB5dCwgY2FuYWRhLCAyMDAzLTIwMDVcIixcIk9STkxfQ0xPVURcIixcIlBvcGxhcl9WZWdfUGxvdHNfMTM3NlwiLFwiMVwiLDIxNzA5Njk5NDEsNV0ifQ%3D%3D/ASCENDS_LAS_IN_Sept_2014_2116_1",
         "description": "This dataset provides in situ airborne measurements of atmospheric carbon dioxide (CO2) over Indianapolis, Indiana (IN) on September 3, 2014 during the morning commuter period with heavy traffic emissions. Stationary source emissions are also included. The observed CO2 plume downwind of the urban area, along with the prevailing wind speed and direction, enabled estimations of emission rates. CO2 was measured with an airborne CO2 Laser Absorption Spectrometer (JPL CO2LAS) developed at NASA's Jet Propulsion Laboratory (JPL) to demonstrate the airborne Integrated Path Differential-Absorption (IPDA) lidar technique as a stepping stone to a capability for global measurements of CO2 concentrations from space. The CO2LAS measures the weighted, column averaged carbon dioxide between the aircraft and the ground using a continuous-wave heterodyne technique. The instrument operates at a 2.05 micron wavelength optimized for enhancing sensitivity to boundary layer carbon dioxide. Measurements were taken onboard a DC-8 aircraft during this Active Sensing of CO2 Emissions over Nights, Days and Seasons (ASCENDS) airborne deployment. The data are provided in HDF-5 format.",
         "license": "proprietary"
     },
@@ -31514,52 +32216,52 @@
     {
         "id": "ATL02_006",
         "title": "ATLAS/ICESat-2 L1B Converted Telemetry Data V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL02_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgbDMgZ3JpZGRlZCAxLWRlZ3JlZSBkYWlseSBzb2lsIG1vaXN0dXJlIHYwMDVcIixcIk5TSURDX0VDU1wiLFwiQVEzX0RZU01cIixcIjVcIiwxNTI5NDY3NDY3LDk2XSIsInVtbSI6IltcImFxdWFyaXVzIGwzIGdyaWRkZWQgMS1kZWdyZWUgZGFpbHkgc29pbCBtb2lzdHVyZSB2MDA1XCIsXCJOU0lEQ19FQ1NcIixcIkFRM19EWVNNXCIsXCI1XCIsMTUyOTQ2NzQ2Nyw5Nl0ifQ%3D%3D/ATL02_006",
         "description": "This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.",
         "license": "proprietary"
     },
     {
         "id": "ATL02_006",
         "title": "ATLAS/ICESat-2 L1B Converted Telemetry Data V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL02_006",
         "description": "This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.",
         "license": "proprietary"
     },
     {
         "id": "ATL03_006",
         "title": "ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2559919423-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2559919423-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL03_006",
         "description": "This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.",
         "license": "proprietary"
     },
     {
         "id": "ATL03_006",
         "title": "ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL03_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2559919423-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2559919423-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgbDMgZ3JpZGRlZCAxLWRlZ3JlZSBkYWlseSBzb2lsIG1vaXN0dXJlIHYwMDVcIixcIk5TSURDX0VDU1wiLFwiQVEzX0RZU01cIixcIjVcIiwxNTI5NDY3NDY3LDk2XSIsInVtbSI6IltcImFxdWFyaXVzIGwzIGdyaWRkZWQgMS1kZWdyZWUgZGFpbHkgc29pbCBtb2lzdHVyZSB2MDA1XCIsXCJOU0lEQ19FQ1NcIixcIkFRM19EWVNNXCIsXCI1XCIsMTUyOTQ2NzQ2Nyw5Nl0ifQ%3D%3D/ATL03_006",
         "description": "This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.",
         "license": "proprietary"
     },
@@ -31579,26 +32281,26 @@
     {
         "id": "ATL04_006",
         "title": "ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL04_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.html",
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         "id": "ATL04_006",
         "title": "ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
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-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL04_006",
         "description": "ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
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         "id": "ATL07_006",
         "title": "ATLAS/ICESat-2 L3A Sea Ice Height V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
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         "end_date": "",
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-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL07_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL07_006",
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     },
     {
         "id": "ATL07_006",
         "title": "ATLAS/ICESat-2 L3A Sea Ice Height V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-14",
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         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL07_006",
         "description": "The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
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@@ -31683,26 +32385,26 @@
     {
         "id": "ATL08_006",
         "title": "ATLAS/ICESat-2 L3A Land and Vegetation Height V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-14",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL08_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL08_006",
         "description": "This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
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     {
         "id": "ATL08_006",
         "title": "ATLAS/ICESat-2 L3A Land and Vegetation Height V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-14",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL08_006",
         "description": "This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
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@@ -31852,26 +32554,26 @@
     {
         "id": "ATL13_006",
         "title": "ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL13_006",
         "description": "This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).",
         "license": "proprietary"
     },
     {
         "id": "ATL13_006",
         "title": "ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL13_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgbDMgZ3JpZGRlZCAxLWRlZ3JlZSBkYWlseSBzb2lsIG1vaXN0dXJlIHYwMDVcIixcIk5TSURDX0VDU1wiLFwiQVEzX0RZU01cIixcIjVcIiwxNTI5NDY3NDY3LDk2XSIsInVtbSI6IltcImFxdWFyaXVzIGwzIGdyaWRkZWQgMS1kZWdyZWUgZGFpbHkgc29pbCBtb2lzdHVyZSB2MDA1XCIsXCJOU0lEQ19FQ1NcIixcIkFRM19EWVNNXCIsXCI1XCIsMTUyOTQ2NzQ2Nyw5Nl0ifQ%3D%3D/ATL13_006",
         "description": "This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).",
         "license": "proprietary"
     },
@@ -31904,26 +32606,26 @@
     {
         "id": "ATL14_004",
         "title": "ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2019-01-01",
         "end_date": "2023-12-28",
         "bbox": "-180, -90, 180, 90",
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-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3162179692-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL14_004",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3159684163-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3159684163-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL14_004",
         "description": "This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).",
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         "id": "ATL14_004",
         "title": "ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004",
-        "catalog": "NSIDC_ECS STAC Catalog",
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         "bbox": "-180, -90, 180, 90",
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-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3159684163-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3162179692-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3162179692-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL14_004",
         "description": "This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).",
         "license": "proprietary"
     },
@@ -31956,52 +32658,52 @@
     {
         "id": "ATL15_004",
         "title": "ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2019-01-01",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL15_004",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.html",
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         "license": "proprietary"
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         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677118029-ORNL_CLOUD.html",
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         "description": "This dataset provides the mixing ratios of hydrogen oxides measured by the Airborne Tropospheric Hydrogen Oxides Sensor (ATHOS) during the ATom 1-4 campaigns. ATHOS uses laser-induced fluorescence (LIF) to measure hydroxide (OH) and hydroperoxyl (HO2) simultaneously. The measurements include OH and HO2 mixing ratios and the OH interference determined by chemical removal of OH. The reactivity of OH is measured by the OH Reactivity (OHR) instrument using the discharge flow method and is integrated into the ATHOS electronics. These data provide insights into the oxidative state of the global atmosphere. These data are useful for testing the oxidation chemistry in models and other analytical methods being developed to deduce the atmosphere's oxidative state.",
         "license": "proprietary"
     },
@@ -32469,7 +33171,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698465642-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698465642-ORNL_CLOUD.html",
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         "description": "This dataset contains comprehensive measurements of aerosol microphysical, chemical, and optical properties derived for both dry and ambient conditions from in situ measurements made during the four ATom campaigns. The dataset includes composition-resolved size distributions the integrated mass of sulfate, organics, nitrate, sea salt, dust, black carbon, and other compounds in coarse and fine fractions; extinction and absorption coefficients from each species at both dry and ambient conditions; asymmetry parameters; Angstrom exponents; and fitted lognormal functions to describe the size distribution. Optical parameters are calculated for 10 wavelengths from the near UV to the near IR, and size distributions range from 3 nm to 50 um in diameter. One file contains these data at 1-minute time intervals. Another file contains a subset of these data averaged into 1-km vertical bins for each vertical profile the aircraft made, as well as composition-resolved integrated aerosol optical depth derived from each profile. The concentration of cloud condensation nuclei is calculated for 5 supersaturations.",
         "license": "proprietary"
     },
@@ -32482,7 +33184,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2704953786-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704953786-ORNL_CLOUD.html",
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         "description": "This dataset provides (1) the results of in situ aerosol particle property measurements collected over remote tropical areas of both Pacific and Atlantic Oceans during the NASA airborne Atmospheric Tomography (ATom) campaigns for ATom-1 and ATom-2 and (2) modeled outputs of comparable aerosol properties, atmospheric chemistry and meteorology at 70 m resolution from four chemical-transport models matched to the location and time of the aircraft measurements.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677105431-ORNL_CLOUD.html",
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         "description": "This dataset contains actinic flux and photolysis frequencies for photodissociation reactions for a variety of chemical species during the four ATom campaigns. Spectrally resolved actinic flux was measured by the down- and up-welling Charged-coupled device Actinic Flux Spectroradiometers (CAFS) from approximately 280-650 nm. Photolysis frequencies were calculated from the actinic flux and published cross sections and quantum yield values for atmospherically relevant molecules. Solar radiation drives the chemistry of the atmosphere, including the evolution of ozone, greenhouse gases, biomass burning, and other anthropogenic and natural trace constituents.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2674726358-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2674726358-ORNL_CLOUD.html",
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         "description": "This dataset contains cloud type and coarse aerosol contents measured by the University of Vienna's second-generation Cloud Aerosol and Precipitation Spectrometer (CAPS) instrument mounted to the NASA DC-8 aircraft during the four ATom campaigns that occurred from 2016 to 2018. CAPS measures particle size distributions in a size range between nominally 0.5 micrometers and 960 micrometers. The sizes range between approximately 0.5 and 50 micrometers is covered by the optical particle counter component of CAPS-the Cloud and Aerosol Spectrometer with Depolarization Detection (CAS-DPOL). The sizes range from 15 to 930 micrometers is measured with the optical array probe called Cloud imaging Probe (CIP). Cloud types are determined using an algorithm developed to detect and classify clouds using measurements of CAPS. Relative humidity and temperature are considered by the algorithm. The cloud indicator provides a classification on a 1 Hz basis and separates data in cloud-free, aerosol-cloud transition regime (ACTR), liquid clouds, clouds in the mixed-phase temperature regime (MPTR), and cirrus clouds. The coarse aerosol product provides cloud and aerosol particle number concentrations at standard pressure (1013.25 hPa) and standard temperature (273.15 K) in selected size ranges. Particle sizes refer to ammonium sulfate optical equivalent diameter (m=1.52 + 0.0i).",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704885339-ORNL_CLOUD.html",
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         "description": "This dataset contains CAM-chem (Community Atmosphere Model with Chemistry) model outputs along ATom flight tracks. CAM-chem is a component of the Community Earth System Model Version 2 (CESM2) and is used for simulations of global tropospheric and stratospheric atmospheric composition and for studies of chemistry-climate interactions. In general, CAM-chem uses the MOZART chemical mechanism, with various choices of complexity for tropospheric and stratospheric chemistry. For this dataset, CAM-chem used the MOZART-TS1 chemical mechanism, and the model was nudged to reanalysis meteorology from MERRA2.",
         "license": "proprietary"
     },
@@ -32534,7 +33236,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677129501-ORNL_CLOUD.html",
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         "description": "This dataset provides the concentrations of gas-phase organic and inorganic analytes measured by the California Institute of Technology (CIT) Chemical Ionization Mass Spectrometer (CIMS), or CIT-CIMS, flown on the NASA DC-8 aircraft during the four ATom campaigns. The CIT-CIMS employs CF3O-ion chemistry with two independent mass spectrometers (compact time-of-flight and triple quadrupole) to enable sensitive and specific measurements of atmospheric trace gases. The measurements include hydrogen peroxide (H2O2), hydrogen cyanide (HCN), nitric acid (HNO3), methyl hydrogen peroxide (CH3OOH), peroxyacetic acid (C2O3H4), peroxynitric acid (HO2NO2), and sulfur dioxide (SO2), in units of parts-per-trillion-by-volume.",
         "license": "proprietary"
     },
@@ -32547,7 +33249,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704963648-ORNL_CLOUD.html",
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         "description": "This dataset contains carbon monoxide (CO) observations at 10-second intervals from flights during the ATom-1 campaign in 2016 and simulated CO concentrations from the Goddard Earth Observing System version 5 (GEOS-5) model for the corresponding locations along the ATom flight tracks. The Atmospheric Tomography Mission (ATom) is a NASA Earth Venture Suborbital-2 mission studying the impact of human-produced air pollution on greenhouse gases and on chemically reactive gases in the atmosphere. The airborne observations were collected using the Quantum Cascade Laser System (QCLS) instrument, a high-frequency laser spectroscopy instrument for in situ atmospheric gas sampling. This dataset provides a direct comparison of observational and simulated CO that will be used to inform future atmospheric modeling experiments. The dataset also contains simulated tagged-CO tracer concentrations, which represent the contribution of specific regional sources to the total simulated CO. This dataset contributes to one of the ATom mission objectives to create an observation-based chemical climatology of important atmospheric constituents and their reactivity in the remote troposphere.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2675840774-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2675840774-ORNL_CLOUD.html",
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         "description": "This dataset provides black carbon (BC) mass mixing ratios (in units of ng BC / kg air) measured during NASA's Atmospheric Tomography (ATom)-1 flight campaign during July and August 2016. The BC-core masses of BC-containing aerosol particles were measured using a Single Particle Soot Photometer (SP2). Conversion to mass mixing ratio (MMR) is achieved by monitoring sample flow. Influences in air mass composition were determined using the Particle Analysis by Laser Mass Spectrometry (PALMS) instruments. Also included here are data from the Cloud, Aerosol and Precipitation Spectrometer (CAPS) instrument which are used to identify measurements taken while in clouds. Finally, the associated latitude, longitude, altitude, and the timestamp of each measurement are included. All data are at ten seconds resolution. ATom-1 flights originated from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3237458908-ORNL_CLOUD.html",
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         "description": "This dataset is the basis for the development of the Cloud Indicator, a novel algorithm that automatically detects and classifies measurement periods inside clouds. The included data were used in the analysis and development of figures for the related publication. The Cloud Indicator algorithm was developed based on particle size distribution measurements from a second-generation Cloud, Aerosol, and Precipitation Spectrometer (CAPS) combined with measurements of relative humidity and temperature from other sensors, to automatically detect flight sequences in clouds and classify the cloud type. Measurements were collected on 2016-08-20 as part of the Atmospheric Tomography Mission (ATom-1) Campaign and on 2017-04-20 as part of the Absorbing aerosol layers in a changing climate: aging, LIFEtime and dynamics (A-LIFE) project. As an additional criterion for the Cloud Indicator, a cloud-aerosol volume factor was established to ensure a precise and robust distinction between clouds and aerosol layers such as mineral dust or biomass burning to reduce misclassifications. Data are provided in netCDF (*.nc) format.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677094274-ORNL_CLOUD.html",
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         "description": "This dataset provides the concentrations of water measured by the Diode Laser Hygrometer (DLH) flown on the NASA DC-8 during the ATom 1-4 campaigns from 2016 - 2018. The DLH measures the water vapor in the atmosphere by wavelength modulated differential absorption spectroscopy of an isolated rovibrational line. The measurements include water vapor mixing ratio in parts-per-million-by-volume (ppmv) and relative humidity in percent. Relative humidity, both with respect to liquid water and with respect to ice, are quantities derived from measurements of water vapor mixing ratio as well as ambient temperature and pressure.",
         "license": "proprietary"
     },
@@ -32599,7 +33301,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704882261-ORNL_CLOUD.html",
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         "description": "This dataset contains back trajectories, boundary layer influences, and convective influences of air parcels along NASA DC-8 aircraft's flight tracks during the four ATom campaigns that occurred from 2016 to 2018. Back trajectories were interpolated using National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA2) meteorology. Back trajectory analysis determines the origin of air masses by modeling the path of an air parcel backward in time. It can be used to better understand the sources of atmospheric compounds. Boundary layer Influences were determined based on 30 Day Back Trajectories. The atmospheric boundary layer is the lowest part of the troposphere that is directly influenced by earth's surface. The boundary layer influences wind patterns and thus the dispersal of pollutants and other atmospheric compounds of interest. Convective influences were based on 10 Day Back Trajectories and NASA Langley cloud products. Convective influences model the effects of convection on the movement of water vapor through the atmosphere, which influences cloud behavior.",
         "license": "proprietary"
     },
@@ -32612,7 +33314,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677088418-ORNL_CLOUD.html",
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         "description": "This dataset contains images taken from the front of the NASA DC-8 aircraft during the first three ATom campaigns from 2016-2017. Images were taken with an Axis P1357 High Definition camera with a Theia TH138A wide-angle lens. These images were then stitched together at a 10-second frequency into an MP4 (*.mp4) video for each flight. The forward camera shows the visible atmosphere that DC-8 flew through, allowing the in situ measurements to be placed in the context of cloud fields, smoke and haze layers, and boundary layers.",
         "license": "proprietary"
     },
@@ -32625,7 +33327,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704941577-ORNL_CLOUD.html",
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         "description": "This dataset provides Modeling Data Stream (MDS) and Reactivity Data Stream (RDS) products for each of the four ATom campaigns conducted from 2016 to 2018. MDS files contain the atmospheric constituents needed to model the RDS of the air parcels along ATom flight paths. The MDS is a continuous data stream (every 10 seconds) of the atmospheric content of these key chemical species derived from the in-situ measurements collected along ATom flight paths (as reported in the comprehensive related dataset ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols). Values for chemical species measured by multiple instruments were selected from the instrument with better coverage and/or greater precision. Missing values were filled using interpolation for short gaps. For long gaps owing to instrument failure, values were estimated using multiple linear regressions from comparable parallel flights from other ATom campaigns. All species were flagged for instrument source and values were flagged for gap-filling status. In combination, MDS and RDS provide, in essence, a photochemical climatology for each air parcel along ATom flight paths containing the reactive species that control the loss of methane and the production and loss of ozone.",
         "license": "proprietary"
     },
@@ -32638,7 +33340,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676891839-ORNL_CLOUD.html",
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         "description": "This dataset provides measurements of two important components of photochemical smog - peroxyacetyl nitrate (PAN) and peroxyl propionyl nitrate (PPN)- measured by the Georgia Tech Chemical Ionization Mass Spectrometer (GT-CIMS) during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. The GT-CIMS measures reactive nitrogen species in the lower atmosphere. ATom deploys an extensive gas and aerosol payload on the NASA DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. Flights originate from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America. ATom establishes a single, contiguous, global-scale dataset. This comprehensive dataset will be used to improve the representation of chemically reactive gases and short-lived climate forcers in global models of atmospheric chemistry and climate.",
         "license": "proprietary"
     },
@@ -32651,7 +33353,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2704875522-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704875522-ORNL_CLOUD.html",
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         "description": "This dataset contains Global Modeling Initiative (GMI) Chemical Transport Model (CTM) outputs from the four Atom campaigns. GMI simulations of the ATom flight periods have a horizontal resolution of 1.0 x 1.25 degrees, with output every 15 minutes. The ICARTT files are generated by spatially and temporally interpolating the output to the ATom flight track. Vertical interpolation is linear in log-pressure. The netCDF files provide three-dimensional&nbsp;(3D) GMI simulation output for the region surrounding the flight track every 15 minutes at the original model resolution. GMI is a 3-D CTM that includes full chemistry for both the troposphere and stratosphere. GMI simulates the concentrations of many of the species measured during ATom.",
         "license": "proprietary"
     },
@@ -32664,7 +33366,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676992776-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676992776-ORNL_CLOUD.html",
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         "description": "This dataset provides calculated age of air (AoA) and the argon/nitrogen (Ar/N2) ratio (per meg) from stratospheric flask samples and simultaneous high-frequency measurements of nitrous oxide (N2O), carbon dioxide (CO2), ozone (O3), methane (CH4), and carbon monoxide (CO) compiled from three airborne projects. The trace gases were used to identify 235 flask samples with stratospheric influence collected by the Medusa Whole Air Sampler and to calculate AoA using a new N2O-AoA relationship developed using a Markov Chain Monte Carlo algorithm. The data span a wide range of latitudes poleward of 40 degrees in both the Northern and Southern Hemispheres and cover the period 2009-01-10 to 2018-05-21.",
         "license": "proprietary"
     },
@@ -32677,7 +33379,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676900537-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676900537-ORNL_CLOUD.html",
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         "description": "This dataset provides the atmospheric concentrations of separated ions from inorganic and organic species measured by the High-Resolution Aerosol Mass Spectrometer (HR-AMS) collected during flights of the NASA ATom Mission.  Data are available from all four ATom Campaigns. The HR-AMS detects non-refractory submicron aerosol composition by impaction on a vaporizer at 600 degrees C, followed by electron ionization and time-of-flight mass spectral analysis. The measurements include chemically speciated submicron non-refractory particulate mass at a one second and 60 second resolution, and the size distribution of chemically speciated submicron non-refractory particulate mass at 60 second resolution.",
         "license": "proprietary"
     },
@@ -32690,7 +33392,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676907210-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676907210-ORNL_CLOUD.html",
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         "description": "This dataset provides the atmospheric volume mixing ratio of formaldehyde measured during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. ATom deploys an extensive gas and aerosol payload on the NASA DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. The NASA In Situ Airborne Formaldehyde (ISAF) instrument, based at the Goddard Space Flight Center, measures formaldehyde on high-altitude NASA aircraft. The instrument uses laser-induced fluorescence (LIF) to obtain the high detection sensitivity needed to detect formaldehyde in the upper troposphere and lower stratosphere where abundances are 10 parts per trillion. LIF also enables a fast time response needed to measure the abundance of formaldehyde in the finely structured outflow of convective storms. These measurements of formaldehyde will be used elucidate mechanisms of convective transport and quantify the effects of boundary layer pollutants on the ozone photochemistry and cloud microphysics of the upper atmosphere.",
         "license": "proprietary"
     },
@@ -32703,7 +33405,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676911731-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676911731-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXRvbTogbDIgbWVhc3VyZW1lbnRzIGZyb20gbm9hYSB0b2YgY2hlbWljYWwgaW9uaXphdGlvbiBtYXNzIHNwZWN0cm9tZXRlciwgdmVyc2lvbiAyXCIsXCJPUk5MX0NMT1VEXCIsXCJOT0FBX1RvRl9DSU1TX0luc3RydW1lbnRfRGF0YV8xOTIxXCIsXCIyXCIsMjY3NzEzNDk3MCw0XSIsInVtbSI6IltcImF0b206IGwyIG1lYXN1cmVtZW50cyBmcm9tIG5vYWEgdG9mIGNoZW1pY2FsIGlvbml6YXRpb24gbWFzcyBzcGVjdHJvbWV0ZXIsIHZlcnNpb24gMlwiLFwiT1JOTF9DTE9VRFwiLFwiTk9BQV9Ub0ZfQ0lNU19JbnN0cnVtZW50X0RhdGFfMTkyMVwiLFwiMlwiLDI2NzcxMzQ5NzAsNF0ifQ%3D%3D/ATom_MMS_Instrument_Data_1731_1",
         "description": "This dataset contains measurements from the Meteorological Measurement System (MMS) instrument from the four ATom campaigns. MMS is a state-of-the-art instrument for measuring accurate, high resolution in situ airborne state parameters (pressure, temperature, turbulence index, and the 3-dimensional wind vector). These key measurements enable our understanding of atmospheric dynamics, chemistry, and microphysical processes. The MMS is used to investigate atmospheric mesoscale (gravity and mountain lee waves) and microscale (turbulence) phenomena. An accurate characterization of the turbulence phenomenon is important for the understanding of dynamic processes in the atmosphere, such as the behavior of buoyant plumes within cirrus clouds, diffusions of chemical species within wake vortices generated by jet aircraft, and microphysical processes in breaking gravity waves. Accurate temperature and pressure data are needed to evaluate chemical reaction rates as well as to determine accurate mixing ratios. Accurate wind field data establish a detailed relationship with the various constituents and the measured wind also verifies numerical models used to evaluate air mass origin.",
         "license": "proprietary"
     },
@@ -32716,7 +33418,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2675872137-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2675872137-ORNL_CLOUD.html",
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         "description": "This dataset provides profile-integrated column densities of formaldehyde (HCHO), hydroxyl (OH), and OH production rates, diel tropospheric mean OH concentrations, and uncertainties that were derived from direct observation data from selected profiles of NASA Atmospheric Tomography (ATom) mission 1 and 2 flights for the period July 29, 2016 to February 21, 2017. These calculated products were combined with coincident HCHO column retrievals from the Ozone Monitoring Instrument (OMI) to scale and extend the profile results to a global gridded (0.5 deg latitude x 0.625 deg longitude) product. In addition to OMI formaldehyde column data, model output products from the Global Modeling Initiative (GMI) including average tropopause height, scaling factor, column air mass, and column-average formaldehyde photolysis frequency are provided. The GMI model output products were used in calculations and are included for user convenience.",
         "license": "proprietary"
     },
@@ -32729,7 +33431,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677081572-ORNL_CLOUD.html",
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         "description": "This dataset provides O2/N2, CO2, Ar/N2, and stable isotope ratios of CO2 measured in flasks collected by the Medusa Whole Air Sampler during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. ATom deployed an extensive gas and aerosol payload on the NASA DC-8 aircraft for a systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. Medusa collected 32 cryogenically dried, flow, and pressure-controlled samples per flight. The samples are collected by an automated sampler into 1.5 L glass flasks that integrate over 25 seconds. Medusa provides discretely-sampled comparisons for onboard in situ O2/N2 ratio and CO2 measurements and unique measurements of Ar/N2 and 13C, 14C, and 18O isotopologues of CO2. Medusa flasks are analyzed on a sector-magnet mass spectrometer and a LiCor non-dispersive infrared CO2 analyzer by the Scripps O2 Program at Scripps Institution of Oceanography.",
         "license": "proprietary"
     },
@@ -32742,7 +33444,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698487291-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698487291-ORNL_CLOUD.html",
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         "description": "This dataset provides: (1) In situ dust aerosol concentration measurements over remote tropical Pacific and Atlantic Oceans by NOAA Particle Analysis by Laser Mass Spectrometry (PALMS) airborne single-particle mass spectrometer combined with Aerosol Microphysical Properties (AMP) aerosol size spectrometers. Measurements were made aboard the NASA DC8 aircraft during the four ATom campaigns that occurred from 2016 to 2018  (2) Model output of dust and meteorology from the CESM global transport model extracted at the time and location of the aircraft; (3) Model output of dust, other aerosol, and meteorology from the GEOS global transport model extracted at the time and location of the aircraft; (4) CESM model global output of dust and meteorology for dust emitted by specific source regions; (5) NCEP Global Forecast System forward trajectories of air parcels initiated at the time and location of the aircraft; and (6) The location and properties of cirrus clouds formed along the forward trajectories simulated using a parcel model. These data have been applied to better understand the role of mineral dust in cirrus cloud formation.",
         "license": "proprietary"
     },
@@ -32755,7 +33457,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698474800-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698474800-ORNL_CLOUD.html",
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         "description": "This dataset provides observations collected during eleven airborne campaigns from 2006&ndash;2017 and associated input and output from nine widely used chemical transport models (CTMs). The airborne campaigns include ARCTAS-A, ARCTAS-B, ATom-1 and ATom-2, CalNex, DC3, INTEX-B, KORUS-AQ, MILAGRO, SEAC4RS, and WINTER, and they sampled mainly tropospheric air over the conterminous U.S. and the state of Alaska, Mexico, Canada, Greenland, and South Korea and remote areas over the Arctic, Pacific, Southern, and Atlantic Oceans. The CTMs are the AM4.1, CCSM4, GEOS-5, GEOS-Chem TOMAS, GEOS-Chem v10, GEOS-Chem v12, GISS-MATRIX, GISS-ModelE, and TM4-ECPL-F, and the output includes sulfate, nitrate, temperature, specific humidity, mixing ratio of ammonium, the volume mixing ratio of nitric acid, surface pressure, gas-phase ammonia, gas-phase nitric acid, pressure, total ammonium, etc. The observations were collected in-situ from a variety of instruments, including the Aerosol Microphysical Properties (AMP), HR Aerodyne Aerosol Mass Spectrometer (AMS), CIT Chemical Ionization Mass Spectrometer (CIMS), diode laser hygrometer (DLH), a mist chamber/ion chromatography system (MC/IC), Particle Analysis by Laser Mass Spectrometer (PALMS), Single Particle Soot Photometer (SP2), and UCI Whole Air Sampler (WAS). In-situ data also include latitude, longitude, and pressure. These observations were used to investigate how aerosol pH and ammonium balance change from polluted to remote regions, such as over oceans, and were compared to predictions from the CTMs.",
         "license": "proprietary"
     },
@@ -32768,7 +33470,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2675810947-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2675810947-ORNL_CLOUD.html",
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         "description": "This dataset provides extensive calibration and in-flight performance data for two nucleation mode aerosol size spectrometer (NMASS) instruments utilized in the NASA Atmospheric Tomography Mission (ATom). Each NMASS has five condensation particle counters (CPCs) that detect particles above a different minimum size, determined by the maximum vapor supersaturation encountered by the particles. Operated in parallel, the CPCs provide continuous concentrations of particles in different cumulative size classes between 3 and 60 nm. Knowing the response function of each CPC, numerical inversion techniques were applied to recover size distributions from the continuous concentrations. Data provided include: NMASS counting efficiencies and diameters of calibration aerosols, inverted particle size distributions; comparisons of NMASS and Scanning Mobility Particle Sizer (SMPS) results; and performance at flows, temperatures, and pressures measured by both NMASSs and comparison with Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) concentrations collected on board the NASA DC-8 aircraft during an ATom flight in February 2017.",
         "license": "proprietary"
     },
@@ -32781,7 +33483,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676921722-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676921722-ORNL_CLOUD.html",
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         "description": "This dataset provides in situ concentrations of nitric oxide (NO), nitrogen dioxide (NO2), total reactive nitrogen oxides (NOy), and ozone (O3) measured by the NOAA Nitrogen Oxides and Ozone (NOyO3) 4-channel chemiluminescence (CL) instrument during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. NOyO3 provides fast-response, specific, high precision, and calibrated measurements of nitrogen oxides and ozone at a spatial resolution of better than 100 m. ATom deploys an extensive gas and aerosol payload on the NASA DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. Flights originate from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America. ATom establishes a single, contiguous, global-scale dataset. This comprehensive dataset will be used to improve the representation of chemically reactive gases and short-lived climate forcers in global models of atmospheric chemistry and climate.",
         "license": "proprietary"
     },
@@ -32794,7 +33496,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2732580198-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2732580198-ORNL_CLOUD.html",
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         "description": "This dataset provides airborne in situ observations of submicron organic aerosol (OA) mass concentrations during the first (mid-2016) and second (early-2017) global deployments of the Atmospheric Tomography Mission (ATom), as well as modeled submicron OA mass concentrations along the flight tracks from global chemistry models that implement a variety of commonly used representations of OA sources and chemistry. In situ observations include non-refractory submicron aerosols measured by the High-Resolution Aerosol Mass Spectrometer (HR-AMS), aerosol volume concentrations measured by the Aerosol Microphysical Properties package (AMP), black carbon mass content measured by the Single Particle Soot Photometer (NOAA SP2), and refractory and non-refractory aerosol composition measured by the Particle Analysis By Laser Mass Spectrometry (PALMS). Both observed and modeled data are provided at a 60-second temporal resolution. The data are provided in netCDF format.",
         "license": "proprietary"
     },
@@ -32807,7 +33509,7 @@
         "bbox": "-180, -90, 180, 20",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2677144838-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677144838-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXRvbTogbDIgbWVhc3VyZW1lbnRzIGZyb20gbm9hYSB0b2YgY2hlbWljYWwgaW9uaXphdGlvbiBtYXNzIHNwZWN0cm9tZXRlciwgdmVyc2lvbiAyXCIsXCJPUk5MX0NMT1VEXCIsXCJOT0FBX1RvRl9DSU1TX0luc3RydW1lbnRfRGF0YV8xOTIxXCIsXCIyXCIsMjY3NzEzNDk3MCw0XSIsInVtbSI6IltcImF0b206IGwyIG1lYXN1cmVtZW50cyBmcm9tIG5vYWEgdG9mIGNoZW1pY2FsIGlvbml6YXRpb24gbWFzcyBzcGVjdHJvbWV0ZXIsIHZlcnNpb24gMlwiLFwiT1JOTF9DTE9VRFwiLFwiTk9BQV9Ub0ZfQ0lNU19JbnN0cnVtZW50X0RhdGFfMTkyMVwiLFwiMlwiLDI2NzcxMzQ5NzAsNF0ifQ%3D%3D/ATom_Ozonesonde_InstrumentData_1910_1",
         "description": "This dataset contains ozone measurements from the Ozonesonde instrument in Antarctica, Hawaii, and Fiji taken during the Atom-4 campaign. The Electrochemical Concentration Cell (ECC) Ozonesonde is a balloon-borne instrument that collects ozone concentrations paired with a radiosonde to collect additional meteorological info along a vertical profile (as a result, unlike other ATom data, this dataset is not associated with DC-8). The balloon can ascend to altitudes of 35 km before bursting. Ozone in the stratosphere helps reduce UV radiation that reaches Earth's surface; however, ozone at ground level can negatively influence respiratory health.",
         "license": "proprietary"
     },
@@ -32820,7 +33522,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2704946432-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704946432-ORNL_CLOUD.html",
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         "description": "This dataset contains single-particle aerosol composition as measured by the Particle Analysis by Laser Mass Spectrometry (PALMS) instrument during the four ATom campaigns from 2016-2018. Single aerosol particles are classified into several particle types, including: mixed sulfate/organic nitrate, biomass burning, elemental carbon, mineral/metallic, meteoric material, alkali salt, sea salt, heavy oil combustion, and others. Particle types are reported as raw number fractions and as absolute mass concentrations. PALMS measures aerosol composition for particles from diameter ~100 to 5000 nm, with most of the particle data in the size range ~150 to 3000 nm. Also included are absolute aerosol concentrations measured by a modified Laser Aerosol Spectrometer (LAS). Integrated number, surface area, and volume concentrations from LAS are reported over multiple size ranges.",
         "license": "proprietary"
     },
@@ -32833,7 +33535,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2677140330-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677140330-ORNL_CLOUD.html",
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         "description": "This dataset contains measurements of various trace gases from the PAN and Trace Hydrohalocarbon ExpeRiment (PANTHER) across the four ATom campaigns. PANTHER uses Electron Capture Detection and Gas Chromatography (ECD-GC) and Mass Selective Detection and Gas Chromatography (MSD-GC) to measure numerous trace gases, including methyl halides, HCFCs, PAN, N2O, SF6, CFC-12, CFC-11, Halon 1211, methyl chloroform, carbon tetrachloride.",
         "license": "proprietary"
     },
@@ -32846,7 +33548,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676929606-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676929606-ORNL_CLOUD.html",
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         "description": "This dataset provides mole fractions of atmospheric trace gases measured by the Programmable Flask Package (PFP) Whole Air Sampler during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. The PFP whole air sampler provides a means of automated or manual filling of glass flasks. The sampler is designed to remove excess water vapor from the sampled air and compress it without contamination into ~1-liter volumes. These flasks are analyzed at the NOAA's Global Monitoring Division laboratory for trace gases and at the INSTAR's Staple Isotope Lab laboratory for isotopes of methane. Analysis of standardized PFP samples can measure more than 60 trace gases including N2O, SF6, H2, CS2, OCS, CO2, CH4, CO, CFCs, HCFCs, HFCs, Solvents, Methyl Halides, Hydrocarbons and Perfluorocarbons. The ATom mission deployed an extensive gas and aerosol payload on the NASA DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018.",
         "license": "proprietary"
     },
@@ -32859,7 +33561,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676975101-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676975101-ORNL_CLOUD.html",
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         "description": "This dataset provides mass concentrations of particulate iodine as measured by the High-Resolution Aerosol Mass Spectrometer (HR-AMS) during the first two deployments of the NASA Atmospheric Tomography airborne missions (ATom-1 and ATom-2) in 2016 and 2017, respectively. The data provided in this dataset result from a reanalysis of the initial HR-AMS data based on post-mission calibrations and are reported at 1-minute resolution. The dataset also includes the fractions of the main ions (I+, HI+, and I2+) that can be used to ascertain the oxidation state of iodine in particles. Each observation includes an air mass classification flag (tropospheric or stratospheric conditions) based on collocated in situ water vapor and ozone measurements and positional data from the HR-AMS data feed.",
         "license": "proprietary"
     },
@@ -32872,7 +33574,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2704959373-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704959373-ORNL_CLOUD.html",
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         "description": "This dataset provides the results from nine global chemistry-climate or chemistry-transport models that estimated gridded values of atmospheric photolytic rates (J values) for ozone (O3), designated J-O1D, and nitrogen dioxide (NO2), designated J-NO2, under cloudy and clear sky scenarios. Each model produced global 4-D fields (latitude by longitude by pressure for 24 hours) for one day in mid-August 2016 (nominally) of results from two simulations: first using their standard treatment of clouds (all sky or cloudy) and a second with clouds and aerosols removed (clear sky). Model resolution ranges from 0.5 to 2.5 degrees. Observed J-O1D and J-NO2 values from the first ATom deployment (29 July - 23 August 2016) were collected with the Charged-coupled device Actinic Flux Spectroradiometer (CAFS) instrument. The ATom CAFS measurements are 3-second averages along the flight path for selected remote areas over the tropical and northern Pacific Ocean. Both all-sky (cloudy) and synthesized clear-sky J values are provided. Additional data are included for clouds and ozone column plus other cloudy and clear sky parameters for the same remote areas of the tropical and northern Pacific Ocean. These auxiliary data are provided for use with included MATLAB scripts to reproduce the plots and analyses performed in the related publication by Hall et al. (2018).  Note that while the analyses in the related publication were limited to the Pacific basin, the global model data are archived with this dataset.",
         "license": "proprietary"
     },
@@ -32885,7 +33587,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676917139-ORNL_CLOUD.html",
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         "description": "This dataset contains atmospheric measurements of CO2, CH4, and CO mixing ratios made with a Picarro G2401 spectrometer during the four ATom campaigns. Picarro G2401 uses Wavelength-Scanned Cavity Ring Down Spectroscopy (WS-CRDS), a time-based measurement utilizing a near-infrared laser to measure a spectral signature of the molecule. For the ATom mission, the Picarro instrument was modified in the laboratory to operate across the full pressure altitude range of flight campaigns. The instrument was also modified to have a shorter measurement interval.",
         "license": "proprietary"
     },
@@ -32898,7 +33600,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677114811-ORNL_CLOUD.html",
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         "description": "This dataset provides atmospheric concentrations of CO2, CH4, CO, and N2O measured by the Harvard Quantum Cascade Laser System (QCLS) instruments during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. The QCLS (DUAL and CO2) instrument package contains two separate optical assemblies and calibration systems, and a common data system and power supply. The QCLS DUAL instrument simultaneously measures CO, CH4, and N2O concentrations, in situ, using two thermoelectrically cooled pulsed-quantum cascade lasers light sources, a multiple pass absorption cell, and two liquid nitrogen-cooled solid-state detectors. The QCLS CO2 instrument measures CO2 concentrations in situ using a thermoelectrically cooled pulsed-quantum cascade laser light source, gas cells, and liquid nitrogen cooled solid-state detectors. The CO2 mixing ratio of air flowing through the sample gas cell is determined by measuring absorption from a single infrared transition line at 4.32 microns relative to a reference gas of known concentration.",
         "license": "proprietary"
     },
@@ -32911,7 +33613,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677185389-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMsIHBvcGxhcnMsIGFyY3RpYyBhbmQgaW50ZXJpb3IgYWsgYW5kIHl0LCBjYW5hZGEsIDIwMDMtMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiUG9wbGFyX1ZlZ19QbG90c18xMzc2XCIsXCIxXCIsMjE3MDk2OTk0MSw1XSIsInVtbSI6IltcImFyY3RpYyB2ZWdldGF0aW9uIHBsb3RzLCBwb3BsYXJzLCBhcmN0aWMgYW5kIGludGVyaW9yIGFrIGFuZCB5dCwgY2FuYWRhLCAyMDAzLTIwMDVcIixcIk9STkxfQ0xPVURcIixcIlBvcGxhcl9WZWdfUGxvdHNfMTM3NlwiLFwiMVwiLDIxNzA5Njk5NDEsNV0ifQ%3D%3D/ATom_Rad_Measurements_ARMAS_1906_1",
         "description": "This dataset contains Level 2 (L2) absorbed radiation dose rates in silicon from the Automated Radiation Measurements for Aerospace Safety (ARMAS) system along ATom flight paths for the ATom-1 campaign conducted in July and August 2016. Absorbed dose rates measure how much energy is deposited in matter by ionizing radiation per unit time. The radiation sources can be from galactic cosmic rays, solar energetic particles, or Van Allen radiation belt energetic particles. Radiation can have adverse effects on human tissue and aerospace electronics, as well as profound effects on chemical species in the atmosphere, making them important to consider in atmospheric modeling and analyses. In this context, the derived ambient equivalent dose rates are also provided and relate the absorbed dose in human tissue to the effective biological damage of the radiation through a radiation weighting factor. In addition, visualizations of absorbed radiation dose for ATom-1 flight paths are included. The visualizations show the absorbed dose rates in silicon in the upper panel and the 3D representation of the flight in the bottom panel.",
         "license": "proprietary"
     },
@@ -32924,7 +33626,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676935946-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676935946-ORNL_CLOUD.html",
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         "description": "Soluble acidic gases and aerosols (SAGA) were collected with two related installations; a mist chamber/ion chromatography (MC/IC) system and a paired bulk aerosol system. The MC/IC system measures in situ atmospheric distributions of nitric acid (plus < 1 um NO3 aerosol) and fine (< 1 um) aerosol sulfate at an approximately 80-second interval.  The paired bulk aerosol system collects particulates onto filters for subsequent analysis.  Collected filters were first extracted with water to obtain the water-soluble (WS) constituents and then extracted again using methanol to collect the methanol soluble (MS) fraction. The light absorption of filtered extracts was measured from 300 to 700 nm.  Ion chromatography on aqueous extracts of the bulk aerosol samples collected on Teflon filters were used to quantify soluble ions (Cl-, Br-, NO3-, SO42-, C2O42-, Na+, NH4+, K+, Ca+, and Mg+).  The SAGA system is provided by the University of New Hampshire (UNH).",
         "license": "proprietary"
     },
@@ -32937,7 +33639,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2677193452-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677193452-ORNL_CLOUD.html",
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         "description": "This dataset provides concentrations of sulfur dioxide (SO2) measured by the Laser Induced Fluorescence Instrumentation for Sulfur Dioxide (SO2-LIF) on the ATom-4 campaign in April and May 2018. The LIF-SO2 instrument detects SO2 at the single-part per trillion level using red-shifted laser-induced fluorescence. Measurements are reported at 1-second intervals along the flight paths. Sources of SO2 atmosphere from natural sources include volcanic eruptions and wildfires; however, most anthropogenic sources, such as fossil fuel combustion, arise. SO2 influences some negative health and environmental impacts and is an important precursor of aerosols in the nucleation of new particles globally.",
         "license": "proprietary"
     },
@@ -32950,7 +33652,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2677187997-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677187997-ORNL_CLOUD.html",
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         "description": "This dataset contains one-second aerosol extinction and absorption measurements from the Spectrometers for Optical Aerosol Properties (SOAP) instrument aboard the NASA DC-8 aircraft during the ATom-4 campaign that occurred in 2018. SOAP is a compact, low maintenance instrument that measures aerosol extinction and absorption at 532 nm. Aerosol extinction is measured by cavity ringdown spectroscopy and aerosol absorption by photoacoustic spectroscopy. Extinction is measured with sufficient precision and accuracy for the remote atmosphere. The absorption measurements are valid only in strongly absorbing cases, such as in dilute plumes from wildfire smoke. The absorption and extinction of visible light by aerosol particles is a major component of the earth's radiation budget, strongly affecting climate. Highly absorbing particles directly heat the atmosphere, while particles that scatter light tend to cool the atmosphere. Extinction is the sum of absorption and scattering; in most cases scattering represents >90% of extinction, with absorption making up the remainder. These aerosol-radiation interactions also alter air temperature and the rates of photochemical reactions.",
         "license": "proprietary"
     },
@@ -32963,7 +33665,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676881465-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676881465-ORNL_CLOUD.html",
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         "description": "This dataset provides the refractory black carbon mass concentration at one-second resolution measured by the Single Particle Soot Photometer (NOAA SP2) instrument during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. The SP2 is a laser-induced incandescence instrument primarily used for measuring the black carbon mass content of individual particles.",
         "license": "proprietary"
     },
@@ -32976,7 +33678,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676995082-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676995082-ORNL_CLOUD.html",
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         "description": "This dataset provides mass mixing ratios and number density of light-absorbing metallic aerosols (LAM) in the size range 180-1290 nm obtained with the NOAA Single Particle Soot Photometer (SP2) during the four deployments of the NASA Atmospheric Tomography (ATom) airborne mission from 2016-2018. The NOAA SP2 detects light absorbing aerosols, such as black carbon (BC), via laser-induced incandescence to provide real-time in situ quantification of refractory aerosol mass and number density. The percent of LAM aerosols attributed to anthropogenic iron oxides (FeOx) by mass is also provided.",
         "license": "proprietary"
     },
@@ -32989,7 +33691,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2675771133-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2675771133-ORNL_CLOUD.html",
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         "description": "This dataset provides a simulated data stream representative of an Atmospheric Tomography mission (ATom) data collection flight and also modeled reactivities for ozone (O3) production and loss and methane (CH4) loss from six global atmospheric chemistry models: CAM, GEOS-Chem, GFDL, GISS-E2.1, GMI, and UCI. The simulated data include concentrations of selected atmospheric trace gases for 14,880 air parcels along a simulated north-south ATom flight path along 180-degrees longitude over the Pacific basin. Each of the six models produced ozone production and loss and methane loss reactivities initialized using the simulated data beginning with five different days in August (8-01, 8-06, 8-11, 8-16, 8-21). Modeled years for each individual model varied from 1997 to 2016.",
         "license": "proprietary"
     },
@@ -33002,7 +33704,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677099477-ORNL_CLOUD.html",
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         "description": "This dataset provides concentrations of volatile organic compounds (VOCs) measured by the Trace Organic Gas Analyzer (TOGA) during the four ATom campaigns. These data are relevant to the impact of human-produced air pollution on greenhouse gases and on chemically reactive gases in the atmosphere. Specific data were obtained for radical precursors, tracers of anthropogenic and biogenic activities, tracers of urban and biomass combustion emissions, products of oxidative processing, precursors to aerosol formation, and compounds important for aerosol modification and transformation. TOGA measures a wide range of VOCs with high sensitivity (ppt or lower), frequency (2-minutes), accuracy (often 15% or better), and precision (<3%).",
         "license": "proprietary"
     },
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         "description": "This dataset, collected with the Unmanned Aircraft Systems (UAS) Chromatograph for Atmospheric Trace Species (UCATS), provides atmospheric concentrations of nitrous oxide (N2O), sulfur hexafluoride (SF6), methane (CH4), hydrogen (H2), carbon monoxide (CO), water vapor (H2O), and ozone (O3). The UCATS system is three different instruments in one enclosure: a two-channel chromatograph with electron capture detectors (one measures N2O and SF6, the other measures CH4, H2 and CO), a tunable diode laser instrument for H2O, and a dual-beam O3 photometer.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2675860026-ORNL_CLOUD.html",
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         "description": "This dataset provides extensive calibration and in-flight performance data for two Ultra-High Sensitivity Aerosol Spectrometers (UHSAS) used for particle size distribution and volatility measurements during the NASA Atmospheric Tomography Mission (ATom) airborne campaign. UHSAS-1 was equipped with a compact thermodenuder operating at 300 degrees C and UHSAS-2 was operated without a thermodenuder to determine the number and volume fraction of volatile particles. Laboratory studies utilized aerosols from limonene ozonolysis (limon), atomization of ammonium sulfate (AS), and atomization of 2-diethylhexyl (dioctyl) sebacate (DOS). Data include: UHSAS detection efficiency, sizing calibration, performance at a range of pressures and at a range of thermodenuder temperatures, comparison of UHSAS-2 and condensation particle counter (CPC) particle number concentrations, comparisons of UHSAS-1 and UHSAS-2 for dry particle number concentration, surface area and volume collected onboard of a NASA DC-8 aircraft during August 2016, and dry aerosol size distributions for thermodenuded and non-thermodenuded instrument collected in February 2017.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676970206-ORNL_CLOUD.html",
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         "description": "This dataset provides atmospheric concentrations of halocarbons and hydrocarbons measured by the UC-Irvine Whole Air Sampler (WAS) during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. The analysis of samples from the UCI WAS provides measurements of more than 50 trace gases, including C2-C10 NMHCs, C1-C2 halocarbons, C1-C5 alkyl nitrates, and selected sulfur compounds. Species were identified and measured using an established technique of airborne whole air sampling followed by laboratory analysis using gas chromatography (GC) with flame ionization detection (FID), and mass spectrometric detection (MSD). The ATom mission deployed an extensive gas and aerosol payload on the NASA DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018.",
         "license": "proprietary"
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         "description": "This dataset provides information on greenhouse gases and human-produced air pollution, including atmospheric concentrations of carbon dioxide (CO2), methane (CH4), tropospheric ozone (O3), and black carbon (BC) aerosols, collected during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. This dataset includes merged data from all instruments plus additional data such as numbered profiles and distance flown. Merged data have been created for seven different sampling intervals. In the case of data obtained over longer time intervals (e.g. flask data), the merge files provide (weighted) averages to match the sampling intervals. ATom deploys an extensive gas and aerosol payload on the NASA DC-8 aircraft for a systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. Flights originate from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America. ATom establishes a single, contiguous, global-scale dataset. This comprehensive dataset will be used to improve the representation of chemically reactive gases and short-lived climate forcers in global models of atmospheric chemistry and climate. Profiles of the reactive gases will also provide critical information for the validation of satellite data, particularly in remote areas where in situ data is lacking. Complete aircraft flight information including, but not limited to, latitude, longitude, and altitude are also provided. This data release provides results from all instruments on all four ATom flight campaigns.",
         "license": "proprietary"
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@@ -33067,7 +33769,7 @@
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         "description": "This dataset provides information on greenhouse gases and human-produced air pollution, including atmospheric concentrations of carbon dioxide (CO2), methane (CH4), tropospheric ozone (O3), and black carbon (BC) aerosols, collected during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. This dataset includes merged data from all instruments plus additional data such as numbered profiles and distance flown. Merged data products have been created for seven different aggregation intervals (1 second, 10 seconds, and 5 instrument-specific intervals). In the case of data obtained over longer time intervals (e.g., flask data), the merge files provide (weighted) averages to match the sampling intervals. This comprehensive dataset will be used to improve the representation of chemically reactive gases and short-lived climate forcers in global models of atmospheric chemistry and climate.",
         "license": "proprietary"
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         "description": "This dataset provides flight track and aircraft navigation data from the NASA Atmospheric Tomography Mission (ATom). Flight track information is available for the four ATom campaigns: ATom-1, ATom-2, ATom-3, and ATom-4. Each ATom campaign consists of multiple individual flights and flight navigational information is recorded in 10-second intervals. Data available for each flight includes research flight number, date, and start and stop time of each 10-second interval. In addition, latitude, longitude, altitude, pressure and temperature is included at each 10-second interval. NASA's ATom campaign deploys an extensive gas and aerosol payload on the NASA DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. During each campaign, flights originate from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America. ATom establishes a single, contiguous, global-scale dataset. One intended use of this flight track data is to facilitate to mapping model results from global models onto the precise ATom flight tracks for comparison.",
         "license": "proprietary"
     },
@@ -33327,7 +34029,7 @@
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         "description": "This dataset contains Level 1B (L1B) calibrated radiance images as well as observational geometry and illumination parameters from the Airborne Visible / Infrared Imaging Spectrometer-3 (AVIRIS-3) instrument. This is the NASA Earth Observing System Data and Information System (EOSDIS) facility instrument archive of these data. The NASA AVIRIS-3 is a spectral mapping system that measures reflected radiance at 7.4-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 390-2500 nm. The AVIRIS-3 sensor has a 40 degree instantaneous field of view with 1234 pixels, providing altitude dependent ground sampling distances from 12 m to sub meter range. This spectrometer measures radiance from surface and atmosphere and is extremely similar in design to the orbital Earth Surface Mineral Dust Source Investigation (EMIT) spectrometer.  AVIRIS-3 has been designed to fly on a variety of aircraft platforms including the King Air B-200, Gulfstream III, Gulfstream V, and ER-2. For each flight line, two file types are included: calibrated radiance (RDN) and orthocorrected observation geometry and illumination (ORT) in netCDF format. Both file types include a geolocation lookup table (GLT) for georeferencing pixels in UTM and geographic coordinates. A band mask file indicates whether wavelengths were interpolated on a per pixel basis. In addition, ancillary files for each flight line are provided, including a quick look image in JPEG format and text files in YAML format that document processing algorithms and parameters used during production.",
         "license": "proprietary"
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         "description": "This dataset contains Level 2B (L2b) enhancements of greenhouse gasses (GHG) derived from imagery collected by the Airborne Visible / Infrared Imaging Spectrometer-3 (AVIRIS-3) instrument. Products include methane and carbon dioxide enhancements, each with per-pixel uncertainties and sensitivities to the background. Concentration enhancements are estimated from radiance measurements using a column-wise adaptive matched filter approach, which searches each pixel's radiance spectrum for deviations that are characteristic of a GHG's absorption spectrum. This is the NASA Earth Observing System Data and Information System (EOSDIS) facility instrument archive of these data. The NASA AVIRIS-3 is a spectral mapping system that measures reflected radiance at 7.4-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 390-2500 nm.",
         "license": "proprietary"
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         "description": "This dataset contains Level 1B (L1B) orthocorrected, scaled radiance image files as well as files of observational geometry and illumination parameters and supporting sensor band information from the Airborne Visible / Infrared Imaging Spectrometer (AVIRIS-Classic) instrument. This is the NASA Earth Observing System Data and Information System (EOSDIS) facility instrument archive of these data. The NASA AVIRIS-Classic is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-Classic measures reflected radiance in 224 contiguous bands at approximately 10-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 400-2500 nm. The AVIRIS-Classic sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub meter range. AVIRIS-Classic is flown on a variety of aircraft platforms including the Twin Otter, NASA's WB-57, and NASA's high altitude ER-2. Multiple file types are included for each flight line. The primary data files include: orthocorrected calibrated radiance image (img) files, geometric lookup table (glt) and orthocorrected observation geometry and illumination (obs_ort) files. Also included are unprojected files of input geometry (igm), and parameters relating to the geometry of observation and illumination (obs). Additional files provide information on spectral (spc) and radiometric calibration (rcc, gain), spatial resolution (geo), aircraft and sensor position (eph, nav), deployment notes (info), and data processing (plog). Quicklook images (jpeg) and polygon outlines of imagery footprints (kmz) are provided for each flight line. The primary AVIRIS-Classic L1B data are provided in ENVI binary format, which includes a flat binary file accompanied by a header (.hdr) file holding metadata in text format. The ancillary files include JPEG images, maps in Keyhole Markup Language (KML), and calibration files in binary and text formats.This archive currently includes data from 2006 - 2021. Additional L1B data will be added as they become available. AVIRIS-Classic supports NASA Science and applications in many areas including plant composition and function, geology and soils, greenhouse gas mapping, and calibration of orbital platforms.",
         "license": "proprietary"
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         "description": "This dataset contains Level 2 (L2) orthocorrected reflectance from the Airborne Visible / Infrared Imaging Spectrometer (AVIRIS-Classic) instrument. This is the NASA Earth Observing System Data and Information System (EOSDIS) facility instrument archive of these data. The NASA AVIRIS-Classic is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-Classic measures reflected radiance in 224 contiguous bands at approximately 10-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 400-2500 nm. The AVIRIS-Classic sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub meter range. AVIRIS-Classic is flown on a variety of aircraft platforms including the Twin Otter, NASA's WB-57, and NASA's high altitude ER-2. For each flight line, two types of L2 data files may be included: (a) calibrated surface reflectance and (b) water vapor and optical absorption paths for liquid water and ice. The L2 data are provided in ENVI format, which includes a flat binary file accompanied by a header (.hdr) file holding metadata in text format. This archive currently includes data from 2008 - 2020. Additional AVIRIS-Classic facility instrument L2 data will be added as they become available. AVIRIS-Classic supports NASA Science and applications in many areas including plant composition and function, geology and soils, greenhouse gas mapping, and calibration of orbital platforms.",
         "license": "proprietary"
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         "description": "This dataset provides surface reflectance measured by the Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument during flights over research sites in Idaho and California in 2014 and 2015. AVIRIS-NG measures reflected radiance at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Measurements are radiometrically and geometrically calibrated and provided at 1-meter spatial resolution. The data include 72 flight lines covering long-term research sites in the Reynolds Creek Experimental Watershed in southwestern Idaho and Hollister in southeastern Idaho. Several flight lines from a site in the Inyo National Forest near Big Pine, California are included.",
         "license": "proprietary"
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         "license": "proprietary"
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         "description": "This dataset contains Level 2 (L2) orthocorrected reflectance from the Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument.  This is the NASA Earth Observing System Data and Information System (EOSDIS) facility instrument archive of these data. The AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures reflected radiance at 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The AVIRIS-NG sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub-meter range. For each flight line, two types of L2 data files may be included: (a) calibrated surface reflectance and (b) water vapor and optical absorption paths for liquid water and ice. The L2 data are provided in ENVI format, which includes a flat binary file accompanied by a header (.hdr) file holding metadata in text format.  The AVIRIS-NG is flown on a variety of aircraft platforms including the Twin Otter, the King Air B-200, and NASA's high altitude ER-2.  This archive currently includes data from 2014 - 2022. Additional AVIRIS-NG facility instrument L2 data will be added as they become available.  The AVIRIS-NG supports NASA Science and applications in many areas including plant composition and function, geology and soils, greenhouse gas mapping, and calibration of orbital platforms.",
         "license": "proprietary"
     },
@@ -33782,7 +34484,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2662360177-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2662360177-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXRvbTogdHJhY2UgZ2FzIG1lYXN1cmVtZW50cyBmcm9tIHBhbnRoZXIgZ2FzIGNocm9tYXRvZ3JhcGhcIixcIk9STkxfQ0xPVURcIixcIkFUb21fUEFOVEhFUl9JbnN0cnVtZW50X0RhdGFfMTkxNFwiLFwiMVwiLDI2NzcxNDAzMzAsNF0iLCJ1bW0iOiJbXCJhdG9tOiB0cmFjZSBnYXMgbWVhc3VyZW1lbnRzIGZyb20gcGFudGhlciBnYXMgY2hyb21hdG9ncmFwaFwiLFwiT1JOTF9DTE9VRFwiLFwiQVRvbV9QQU5USEVSX0luc3RydW1lbnRfRGF0YV8xOTE0XCIsXCIxXCIsMjY3NzE0MDMzMCw0XSJ9/AVIRIS_FlightLine_Locator_2140_1.0",
         "description": "This dataset provides attributed geospatial and tabular information for identifying and querying flight lines of interest for the Airborne Visible InfraRed Imaging Spectrometer-Classic (AVIRIS-C) and Airborne Visible InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) Facility Instrument collections. It includes attributed shapefile and GeoJSON files containing polygon representation of individual flights lines for all years and separate KMZ files for each year. These files allow users to visualize and query flight line locations using Geographic Information System (GIS) software. Tables of AVIRIS-C and AVIRIS-NG flight lines with attributed information include dates, bounding coordinates, site names, investigators involved, flight attributes, associated campaigns, and corresponding file names for associated L1B (radiance) and L2 (reflectance) files in the AVIRIS-C and AVIRIS-NG Facility Instrument Collections. Tabular information is also provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -33877,6 +34579,19 @@
         "description": "Acoustic surveying Data from four acoustic surveys from the Aurora Australis from 1996-10-05 to 1996-10-31; 1997-10-09 to 1997-10-29; 1997-12-08 to 1998-01-06; and 1999-12-04 to 2001-01-16.        Sonobouys deployed off the back of the ship, half an hour recording duration samples made concurrently with Colin Southwells visual surveys. Numbers of leopard seal calls audible from recordings measured by acoustic analysis.        The fields in this dataset are: Tape # = the tape number and date Recording # = Recording number Buoy # = Sonobuoy number Buoy Freq  = Sonobuoy frequency Longitude S = Longitude Decimal Longitude S = Decimal Longitude Latitude E = Latitude Decimal Latitude E = Decimal Latitude GMT = Greenwich Mean Time Local time = Local Time Serial Time = dd:mm:yy  hh:mm Ship Speed Kts ICE Cover (/10) = Ice Cover in tenths Ice % cover = Percentage of Ice Cover  Thick Ice: Ice Thickness 0 = 0; 1less than  2 cm; 2 = 2cm to 0.25m; 3= 0.25m to 0.5m; 4 = 0.5m - 1m; 5 greater than 1.0 m  Ice Type: 1 = no information; 2 = grease or pancake; 3 = brash; 4 = floes first year; 5 = multiyear floes; 6 = first year rafted floes; 7 = multiyear rafted floes; 8 = mixed brash and 1st year floes; 9 = mixed brash and multiyear floes; 10 = icebergs; 11 = icebergs and brash; 12 = icebergs and 1st year floes; 13 = icebergs and multiyear floes; 14 = compacted pack ice; 15 = iceshelf; 16 = other; 17 = fast ice.        Floe Width: 1 = less than  3 m; 2 = 3 - 10 m; 3 = 10 - 50m; 4 = 50 -100 m; 5 greater than 100 m. Weather: 1 = blue sky (0-20% cloud); 2 = partly cloudy (21-80%); 3 = cloudy (81-99%); 4 = overcast (100%); 5 = rain; 6 = mist; 7 = fog; 8 = fog patches; 9 = drizzle; 10 =snow; 11 = snow fog; 12 = rain fog.        Algae: 1 = clear; 2 = slight colour; 3 = medium colour; 4 = dark brown patches; 5 = all dark brown  Water Depth m Wind Speed Kts Wind Direction Air temp  degrees C Rec Time = Duration of the recording made Gain = Recording gain on the amplifier  Mammal Sounds? = Other mammal sounds.  CS = unknown origin chain-saw like sound;  P5/P6 = unknown origin pulsed sounds; NSL = unknown origin appears to be a new leopard seal sound; Wd = Weddell; LS = Leopard; KW = Killer Whale; RS = Ross        LS Calls Total = Total number of leopard seal calls D = Total Low Descending trills H  = Total High Double trills L   = Total Low Double trills M  = Total Medium Single trills O = Total Hoots with Single trills Juv LS = Total Juvenile Leopard seal calls NLS  = Total New Leopard Seal Calls CS  = Total Chain Saw Calls RS   = Total Ross Seal Calls Wd  = Total Weddell seal Calls P2-P5 = Total Pulsed calls",
         "license": "proprietary"
     },
+    {
+        "id": "ActSched_001",
+        "title": "MISR EMOS Non-orderable",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2843763489-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2843763489-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/ActSched_001",
+        "description": "MISR EMOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "Active_Fluorescence_2001_0",
         "title": "Active fluorescence measurements in the Gulf Stream in 2001",
@@ -33899,7 +34614,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403378-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403378-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/Active_Layer_Thaw_Depths_1701_1",
         "description": "This dataset provides soil active layer thaw depth measurements collected along transects at three sites near Fairbanks, Alaska, USA. Measurements were made during the late summers of 2014-2018. The sites were located at Creamer's Field, the Permafrost Tunnel, and Farmer's Loop (two transects). Vegetation ecotypes along the transects are also reported. The US Army Corps of Engineers, Cold Regions Research and Engineering Laboratory (CRREL) owns and operates facilities at the Permafrost Tunnel and Farmer's Loop. The sites are suitable for manipulation experiments, installing permanent equipment, and establishing long-term measurements.",
         "license": "proprietary"
     },
@@ -34042,7 +34757,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2677001224-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677001224-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXRvbTogdHJhY2UgZ2FzIG1lYXN1cmVtZW50cyBmcm9tIHBhbnRoZXIgZ2FzIGNocm9tYXRvZ3JhcGhcIixcIk9STkxfQ0xPVURcIixcIkFUb21fUEFOVEhFUl9JbnN0cnVtZW50X0RhdGFfMTkxNFwiLFwiMVwiLDI2NzcxNDAzMzAsNF0iLCJ1bW0iOiJbXCJhdG9tOiB0cmFjZSBnYXMgbWVhc3VyZW1lbnRzIGZyb20gcGFudGhlciBnYXMgY2hyb21hdG9ncmFwaFwiLFwiT1JOTF9DTE9VRFwiLFwiQVRvbV9QQU5USEVSX0luc3RydW1lbnRfRGF0YV8xOTE0XCIsXCIxXCIsMjY3NzE0MDMzMCw0XSJ9/Aerosol_Sulfate_LowermostStrat_1868_1",
         "description": "This dataset consists of (a) selected aerosol and gas-phase observations made on all four deployments of NASA Atmospheric Tomography Mission (ATom), (b) thermodynamic properties related to aerosol formation derived from these measurements, (c) 48-h back trajectories for ATom-4 observations, and (d) output from the Model of Aerosols and Ions in the Atmosphere (MAIA).  ATom observations, thermodynamics, and back trajectories were inputs for MAIA model runs. MAIA runs focused on data from ATom-4 deployment, and output includes aerosol formation rates, and ultrafine particle size distributions and number concentrations in the lowermost stratosphere (LMS). ATom 1-4 deployments included all four seasons from 2016 to 2018. This investigation sought to understand how new particle formation (NPF) can occur in the LMS, factors influencing the amount of NPF, and other potential sources of ultrafine aerosols in this region of the atmosphere. The data are provided in comma-separated value (CSV) format.",
         "license": "proprietary"
     },
@@ -34107,7 +34822,7 @@
         "bbox": "9.3, -1.95, 11.64, 0.61",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734261660-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734261660-ORNL_CLOUD.html",
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         "description": "This dataset provides gridded estimates of aboveground biomass (AGB) for four sites in Gabon at 0.25 ha (50 m) resolution derived with field measurements and airborne LiDAR data collected from 2010 to 2016. The sites represent a mix of forested, savannah, and some agricultural and disturbed landcover types: Lope site, within Lope National Park; Mabounie, mostly forested site; Mondah Forest, protected area; and the Rabi forest site, part of the Smithsonian Institution of Global Earth Observatories world-wide network of forest plots. Plot-level biophysical measurements of tree diameter and tree height (or estimated by allometry) were performed at 1 ha and 0.25 ha scales on multiple plots at each site and used to derive AGB for each tree and then summed for each plot. Aerial LiDAR scans were used to construct digital elevation models (DEM) and digital surface models (DSM), and then the DEM and DSM were used to construct a canopy height model (CHM) at 1 m resolution. After checking site-plot locations against the CHM, mean canopy height (MCH) was computed over each 0.25 ha. A single regression model relating MCH and AGB estimates, incorporating local height based on the trunk DBH (HD) relationships, was produced for all sites and combined with the CHM layer to construct biomass maps at 0.25 ha resolution.",
         "license": "proprietary"
     },
@@ -34120,7 +34835,7 @@
         "bbox": "8.73, -2.29, 12.01, 0.7",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734258863-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734258863-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWN0LWFtZXJpY2E6IGwyIGluIHNpdHUgYXRtb3NwaGVyaWMgZ2FzIGNvbmNlbnRyYXRpb25zIGZyb20gZmxhc2tzLCBlYXN0ZXJuIHVzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQUNUQU1FUklDQV9QRlBfMTU3NVwiLFwiMS4yXCIsMjcwNjM0MDQ4MywzXSIsInVtbSI6IltcImFjdC1hbWVyaWNhOiBsMiBpbiBzaXR1IGF0bW9zcGhlcmljIGdhcyBjb25jZW50cmF0aW9ucyBmcm9tIGZsYXNrcywgZWFzdGVybiB1c2FcIixcIk9STkxfQ0xPVURcIixcIkFDVEFNRVJJQ0FfUEZQXzE1NzVcIixcIjEuMlwiLDI3MDYzNDA0ODMsM10ifQ%3D%3D/AfriSAR_LVIS_Footprint_Cover_1591_1",
         "description": "This dataset includes footprint-level canopy structure products derived from data collected using NASA's Land, Vegetation, and Ice Sensor (LVIS) during flights over five forested sites in Gabon during February and March 2016. Three types of canopy structure information are included for each flight: 1) vertical profiles of canopy cover fraction in 1-meter bins, 2) vertical profiles of plant area index (PAI) in 1-meter bins, and 3) footprint summary data of total recorded energy, leaf area index, canopy cover fraction, and vertical foliage profiles in 10-meter bins. Canopy structure metrics are provided for each waveform (20-m footprint) collected by the LVIS instrument. These data were collected by NASA as part of the AfriSAR project. AfriSAR is a NASA collaboration with the European Space Agency (ESA), German Aerospace Center (DLR), and the Gabonese Space Agency (AGEOS) that is collecting data useful for deriving forest canopy structure and will help prepare for and calibrate current and upcoming spaceborne missions that aim to gauge the role of forests in Earth's carbon cycle.",
         "license": "proprietary"
     },
@@ -34133,7 +34848,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734258563-ORNL_CLOUD.html",
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         "description": "This dataset provides plot-level estimates of basal area, aboveground biomass, number of trees, maximum tree height, and basal-area-weighted wood specific gravity that were derived from observations of nearly 6,700 individual trees including tree family, species, DBH, the height of each tree, and their x, y location within 25 x 25 m subplots. These field data were collected from 15 1-hectare plots located across the Mondah Forest of Gabon as part of the AfriSAR Campaign in 2016. These biophysical and biomass data were used for training models to derive the AfriSAR remote sensing-based aboveground biomass products.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776874873-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776874873-ORNL_CLOUD.html",
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         "description": "This data set describes rainfall distribution statistics over the African continent, including Madagascar. The rainfall estimates are based on data from the NASA Tropical Rainfall Measuring Mission (TRMM) measured between 1998 and 2012. Rainfall patterns were quantified using a gamma-based function and two Markov chain parameters with the aim to summarize the rainfall pattern to a small number of parameters and processes. These summary statistics are suitable for temporal downscaling.These data provide gridded (0.25 x 0.25-degree) estimates of 14-year mean monthly rainfall total amount (mm), frequency (count), intensity (mm/hr), and duration (hrs) of rainfall, as well as Markov chain and gamma-distribution parameters for use in temporal downscaling. The data are presented as a series of 12 netCDF (*.nc) files. ",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734261748-ORNL_CLOUD.umm_json",
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         "description": "This dataset contains gridded forest characterization products derived from full-waveform lidar data acquired by NASA's airborne Land, Vegetation, and Ice Sensor (LVIS) instrument for five forested sites in Gabon, Africa, during the 2016 NASA-ESA AfriSAR campaign. The LVIS lidar instrument was flown over study sites in Lope, Mondah/Akanda, Pongara, Rabi, and Mabouni from February to March 2016. Derived canopy cover, canopy heights, bare ground elevation, plant area index (PAI), and foliage height diversity (FHD), and respective uncertainties are provided at a 25 m resolution for each of the five study sites. Aboveground biomass density (AGBD) and uncertainty were modeled at 50 m and 100 m resolutions for the Lope, Mondah, and Mabounie sites using field inventory data and waveform height and cover metrics. Lidar grid cell data collection statistics (i.e., number of shots and flight lines) and a data mask are also included. This research leverages high-quality forest inventory datasets collected during the AfriSAR campaign for one of the least studied and most unique forest ecosystems in the world.",
         "license": "proprietary"
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         "description": "This dataset provides in situ measurements of soil temperature, moisture, conductivity, measured diameter of tree at breast height (DBH) and total height collected at the Harvard Forest, Petersham, Massachusetts, USA, during October 2012 and July - August 2013. These measurements were collected in support of the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) project to validate root-zone soil measurements and carbon flux model estimates.",
         "license": "proprietary"
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         "description": "This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the BERMS (Boreal Ecosystem Research and Monitoring Sites), in Saskatchewan, Canada. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.",
         "license": "proprietary"
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         "description": "This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the Chamela Biological Station, in Jalisco, Mexico. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.",
         "license": "proprietary"
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         "description": "This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the Duke Forest site in North Carolina. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.",
         "license": "proprietary"
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         "description": "This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the Harvard Forest site in Massachusetts. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.",
         "license": "proprietary"
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@@ -34263,7 +34978,7 @@
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         "description": "This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the Tonzi Ranch site in California. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.",
         "license": "proprietary"
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         "description": "This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the Walnut Gulch site in Arizona. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.",
         "license": "proprietary"
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         "license": "proprietary"
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         "description": "This data set contains carbon flux measurements recorded by an aircraft at the Duke, Harvard, and Howland Forest sites during the summers of 2012-2014 as part of the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) project. Frequent measurements of CO2 and H2O were obtained using a cavity ring down spectrometer on board the Airborne Laboratory for Atmospheric Research, operated by Purdue University. Estimates of surface CO2 flux, sensible and latent heat fluxes, their corresponding uncertainties, and average wind speed and direction are provided for each of the 26 flights.",
         "license": "proprietary"
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@@ -34367,7 +35082,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2279583354-ORNL_CLOUD.html",
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         "description": "This data set provides level 2 (L2) hourly volumetric (cm3/cm3) soil moisture profiles from in-ground sensors at seven North American sites as part of the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) project. Three profiles were installed at each site, sampling at seven different depths per profile (2 cm to 80 cm). Initial sampling began at three sites in September 2011 and additional sites were added during 2012 and 2013. All sampling concluded in December 2015. The AirMOSS project used an airborne radar instrument to estimate root-zone soil moisture at 10 study sites across North America. These in-ground soil moisture data were collected to calibrate and validate the AirMOSS data.",
         "license": "proprietary"
     },
@@ -34380,7 +35095,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2279583671-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2279583671-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlyY3JhZnQgZmx1eC1maWx0ZXJlZDogdSBvZiB3eS4gKGZpZmUpXCIsXCJPUk5MX0NMT1VEXCIsXCJmaWZlX0FGX2ZpbHRyX3d5b183XCIsXCIxXCIsMjk2ODUyMTA2NCwzXSIsInVtbSI6IltcImFpcmNyYWZ0IGZsdXgtZmlsdGVyZWQ6IHUgb2Ygd3kuIChmaWZlKVwiLFwiT1JOTF9DTE9VRFwiLFwiZmlmZV9BRl9maWx0cl93eW9fN1wiLFwiMVwiLDI5Njg1MjEwNjQsM10ifQ%3D%3D/AirMOSS_L2_Precipitation_1417_1",
         "description": "This data set provides level 2 (L2) calibrated hourly precipitation (cm/hr) from rain gauges at seven North American sites as part of the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) project. Three gauges were installed at each site. Initial sampling began at three sites in September 2011 and additional sites were added during 2012 and 2013. All sampling concluded in December 2015. The AirMOSS project used an airborne radar instrument to estimate root-zone soil moisture at 10 study sites across North America. These precipitation data were collected in conjunction with in-ground soil moisture data in order to calibrate and validate the AirMOSS data.",
         "license": "proprietary"
     },
@@ -34393,7 +35108,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2262413649-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2262413649-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlyY3JhZnQgZmx1eC1maWx0ZXJlZDogdSBvZiB3eS4gKGZpZmUpXCIsXCJPUk5MX0NMT1VEXCIsXCJmaWZlX0FGX2ZpbHRyX3d5b183XCIsXCIxXCIsMjk2ODUyMTA2NCwzXSIsInVtbSI6IltcImFpcmNyYWZ0IGZsdXgtZmlsdGVyZWQ6IHUgb2Ygd3kuIChmaWZlKVwiLFwiT1JOTF9DTE9VRFwiLFwiZmlmZV9BRl9maWx0cl93eW9fN1wiLFwiMVwiLDI5Njg1MjEwNjQsM10ifQ%3D%3D/AirMOSS_L4_Daily_NEE_1422_1",
         "description": "This data set provides Level 4 daily estimates of Net Ecosystem Exchange (NEE) of CO2 at a spatial resolution of 30 arc-seconds (~1 km) for seven of the sites covered by the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) flights, each site spanning ~2500 km2. The daily NEE estimates are generally available from October 2012 through October 2014, although the exact time ranges vary by site. The AirMOSS L4 daily NEE were produced by the Ecosystem Demography Biosphere Model (ED2) augmented by the AirMOSS-derived L2/3 root zone soil moisture data as an additional input. The AirMOSS soil moisture data were used to estimate the sensitivity of carbon fluxes to soil moisture and to diagnose and improve estimation and prediction of NEE by constraining the model's predictions of soil moisture and its impact on above- and below-ground fluxes.",
         "license": "proprietary"
     },
@@ -34406,7 +35121,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2258632707-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2258632707-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIiwidW1tIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIn0%3D/AirMOSS_L4_RZ_Soil_Moisture_1421_1",
         "description": "This data set provides hourly gridded soil moisture estimates derived from hydrologic modeling at nine AirMOSS sites across North America. The AirMOSS L4 RZSM product represents a temporal interpolation of intermittent AirMOSS L2/3 RZSM retrievals into a temporally-continuous, multi-layer, hourly soil moisture product. The L4 RZSM data have the same spatial resolution (3-arcsecs or ~100 m), and the same temporal coverage (generally Fall 2012 through Fall 2015), as the underlying L2/3 RZSM data. The L4 RZSM data were produced by the integration of the Level 2/3 product and other ancillary information into the Penn State Integrated Hydrologic Model (PIHM). Many key applications for AirMOSS data products, including the calculation of net ecosystem exchange (NEE), require temporally continuous RZSM estimates such as those provided here.",
         "license": "proprietary"
     },
@@ -34419,7 +35134,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2274237497-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2274237497-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIiwidW1tIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIn0%3D/AirMOSS_L4_Regional_NEE_1423_1",
         "description": "This data set provides Level 4 estimates of Net Ecosystem Exchange (NEE) of CO2 across the conterminous USA at a spatial resolution of 50 km. Modeled estimates are provided at hourly and monthly temporal resolutions, from January 2012 through October 2014. The AirMOSS L4 Regional NEE data were produced by the Ecosystem Demography Biosphere Model (ED2) augmented by the AirMOSS-derived L2/3 root zone soil moisture data as an additional input. The AirMOSS soil moisture data were used to estimate the sensitivity of carbon fluxes to soil moisture and to diagnose and improve estimation and prediction of NEE by constraining the model's predictions of soil moisture and its impact on above- and below-ground fluxes.",
         "license": "proprietary"
     },
@@ -34666,7 +35381,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2676984303-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2676984303-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXRvbTogY29tcHJlaGVuc2l2ZSBhZXJvc29sIHByb3BlcnRpZXMsIDIwMTYtMjAxOCwgdmVyc2lvbiAyXCIsXCJPUk5MX0NMT1VEXCIsXCJBVG9tX0Flcm9zb2xfUHJvcGVydGllc19WMl8yMTExXCIsXCIyLjFcIiwyNjk4NDY1NjQyLDZdIiwidW1tIjoiW1wiYXRvbTogY29tcHJlaGVuc2l2ZSBhZXJvc29sIHByb3BlcnRpZXMsIDIwMTYtMjAxOCwgdmVyc2lvbiAyXCIsXCJPUk5MX0NMT1VEXCIsXCJBVG9tX0Flcm9zb2xfUHJvcGVydGllc19WMl8yMTExXCIsXCIyLjFcIiwyNjk4NDY1NjQyLDZdIn0%3D/Airborne_Insitu_Measurements_1784_1",
         "description": "This dataset provides results of selected in-situ measurements of airflow and aerosol particles collected during the following airborne campaigns: NASA Atmospheric Tomography (ATom), Saharan Aerosol Long-range Transport and Aerosol-Cloud-interaction Experiment (SALTRACE), and Absorbing aerosol layers in a changing climate: aging, lifetime and dynamics (A-LIFE). The airborne campaigns were conducted between 2013-06-10 and 2018-05-21. Depending upon the aircraft instrumentation per flight and campaign, the data include aircraft position, relative humidity, temperature, pressure, angle of attack (AOA), the probe location, true and probe air speeds, and aerosol particle diameters as extracted from Cloud Imaging Probe (CIP) images for the ATom and A-LIFE flights. Also provided are the results of combining the airborne data with numerical modeling to simulate particle sampling efficiency. Simulations investigated how airflow around wing-mounted instruments affected sampling efficiency and the induced errors for different realistic flight conditions.",
         "license": "proprietary"
     },
@@ -34705,7 +35420,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170968664-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170968664-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIiwidW1tIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIn0%3D/Alaska_Arctic_Tundra_Veg_Map_1353_1",
         "description": "This data set provides the spatial distributions of vegetation types, geobotanical characteristics, and physiographic features for the Arctic tundra region of Alaska for the period 1993-2005. Specific attributes include dominant vegetation, bioclimate subzones, floristic subprovinces, landscape types, lake coverage, and substrate chemistry. This data set generally includes areas North and West of the forest boundary and excludes areas that have a boreal flora such as the Aleutian Islands and alpine tundra regions south of treeline.",
         "license": "proprietary"
     },
@@ -34744,7 +35459,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2612824429-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2612824429-ORNL_CLOUD.html",
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         "description": "This dataset provides polygon spatial files of lake and pond extents for three sub-regions of Interior Alaska's boreal forest, and one tundra region located in Alaska's Yukon-Kuskokwim Delta. Files provide lake and pond extents of standing water without wetland vegetation or other obstructions with a minimum area of 0.01 ha. Water extents were derived from Planet Labs PlanetScope imagery with resolution of 3.125 m. A deep learning model (U-Net) was applied to PlanetScope orthotile imagery from Planet Labs' Dove-R and Super Dove satellites. The U-Net model used the red, green, blue, and near-infrared bands along with a slope raster derived from a 30-m digital elevation model (DEM) as inputs. The U-Net detected water bodies in all available cloud-free images from the snow-free period (May-September) of 2019-2021. Water body data are provided as 3-year composites (2019-2021) for all four regions and monthly climatological composites (May-September) over 2019-2021 for the three boreal forest regions. The composite water files indicate the presence of open, standing water in >40% of valid PlanetScope observations for a given composite time-slice. Files are provided in shapefile format.",
         "license": "proprietary"
     },
@@ -34757,7 +35472,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145492-ORNL_CLOUD.html",
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         "description": "This dataset provides the maximum Normalized Difference Vegetation Index (NDVI) at 1-km resolution over northern Alaska, USA and the Yukon Territory, Canada for each year from 2002-2017, as well as a 16 year maximum NDVI product. MODIS products MOD13Q1 and MYD13Q1 from Collection 6 were acquired at 250-m pixel size from June 1-August 30 of each year. Within each growing season from 2002-2017, the maximum NDVI was determined for each pixel. These maximum NDVI values were then aggregated to 1-km by selecting the maximum NDVI from the sixteen 250-m pixels values nested within each 1-km pixel. A long-term 16-year maximum NDVI was then derived from the time series of annual maximum NDVI values.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2236240052-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236240052-ORNL_CLOUD.html",
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         "description": "This data set provides hourly atmospheric concentrations of methane (CH4), carbon dioxide (CO2), and carbon monoxide (CO) as mole fractions, from January 2012 to December 2014 measured at the CARVE flux tower in Fox, Alaska (17 km north of Fairbanks) as part of NASA's Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). High-resolution meteorological fields from the Polar Weather Research and Forecasting (WRF) model coupled with the Stochastic Time-Inverted Lagrangian Transport model (WRF- STILT), along with the Polar Vegetation Photosynthesis and Respiration Model (PolarVPRM) were used to determine the influence region of the tower site and investigate the inter-annual and seasonal variability of regional fluxes of CO2 and CH4 in boreal Alaska using the tower observations. Modeled estimates of CH4, CO2, and CO background concentrations are provided. The WRF-STILT model \"footprints\" for the CARVE tower are provided with this data set.",
         "license": "proprietary"
     },
@@ -34783,7 +35498,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2236279313-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236279313-ORNL_CLOUD.html",
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         "description": "This data set reports monthly averages of atmospheric CO2 concentration from satellite and airborne observations between 2009 and 2013 and simulated present and future monthly concentrations and land-atmosphere CO2 flux for periods between 1990 and 2200. Atmospheric CO2 concentration measurements were obtained from Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) and NOAA Arctic Coast Guard (ACG) flights, the Greenhouse Gases Observing Satellite (GOSAT), and NOAA/ESRL vertical profile measurements at Poker Flat, Alaska (PFA). Present and future monthly CO2 concentrations and fluxes were simulated using the GEOS-Chem global tracer model and the Community Land Model, Version 4.5, for multiple regional flux and permafrost thaw scenarios.",
         "license": "proprietary"
     },
@@ -34796,7 +35511,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2113058037-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2113058037-ORNL_CLOUD.html",
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         "description": "This dataset contains MODIS-derived daily mean shortwave blue sky albedo for northern North America (i.e., Canada and Alaska) and a set of quality control flags for each albedo value to aid in user interpretation. The data cover the period of February 24, 2000 through April 22, 2017. The blue sky albedo data were derived from the MODIS 500-m version 6 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameters MCD43A1 dataset (MCD43A1.006, https://doi.org/10.5067/MODIS/MCD43A1.006) (Schaaf & Wang, 2015a, please refer to the MCD43 documentation and user guides for more information). Blue sky refers to albedo calculated under real-world conditions with a combination of both diffuse and direct lighting based on atmospheric and view-geometry conditions. Daily mean albedo was calculated by averaging hourly instantaneous blue sky albedo values weighted by the solar insolation for each time interval. Potter et al. (2019, https://doi.org/10.1111/gcb.14888) is the associated paper for this dataset. Note the actual extent of the dataset in Figure 1 of the User Guide. Users are encouraged to refer to the User Guide for further important information about the use of this dataset.",
         "license": "proprietary"
     },
@@ -34939,7 +35654,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021866-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021866-ORNL_CLOUD.html",
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         "description": "This dataset provides maps of annual burned area for the part of Mawas conservation program in Central Kalimantan, Indonesia from 1997 through 2015. Landsat imagery (TM, ETM+, OLI/TIR) at 30 m resolution was obtained for this 19-year period, including the variables surface reflectance, brightness temperature, and pixel quality assurance, plus the indices NDVI, NDMI, NBR, NBR2, SAVI, and MSAVI. The MODIS active fire product (MCD14) was used to define when fires occurred. Random Forest classifications were used to separate burned and unburned 30-m pixels with inputs of composites of Landsat indices and thermal bands, based on the pre- and post-fire values.",
         "license": "proprietary"
     },
@@ -34952,7 +35667,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403402-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403402-ORNL_CLOUD.html",
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         "description": "This dataset provides two 30-m resolution time series products of annual land cover classifications over the Arctic Boreal Vulnerability Experiment (ABoVE) core domain for each year of the period 1984-2014. The data are the annual dominant plant functional type in a given 30-m pixel derived from Landsat surface reflectance, landcover training data mapped across the ABoVE domain (using Random Forests modeling, with clustering and interpretation of field photography) and very high resolution imagery to assign land cover classifications. One product has a 15-class land cover classification that breaks out forest and shrub types into several additional classes; the other product provides a simplified, 10-class approach. Classification accuracy assessment results are provided per year. Assessments were based on a probability-based random sample of reference data that supported statistically robust estimation of areas and uncertainties in mapped areas.",
         "license": "proprietary"
     },
@@ -36590,7 +37305,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756301678-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756301678-ORNL_CLOUD.html",
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         "description": "This dataset provides in situ measurements of radial tree growth of selected white spruce (Picea glauca) and black spruce (Picea mariana) trees, as well as simultaneous in situ measurements of environmental variables (air temperature, air pressure, relative humidity, soil temperature, volumetric water content, and solar irradiance) at two Arctic treeline sites: one in the Brooks Range of Alaska (AK), USA, and the other near Inuvik, Northwest Territories (NWT), Canada. In AK, 36 trees were monitored from June 7, 2016 to September 13, 2019, and in NWT, 24 trees were monitored from July 5, 2017 to July 25, 2019 with a sampling interval of 5- or 20-minutes for radial tree growth and 5-minutes for all environmental variables. The dendrometer data included in this dataset are only those gathered from 2016-2017. Dendrometer data from 2018-2019 are available from a related dataset. The data were collected to better understand the influence of environmental variables on radial tree growth dynamics. The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -36603,7 +37318,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2515313617-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515313617-ORNL_CLOUD.html",
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         "description": "This dataset provides in situ measurements of needle-level gas-exchange and leaf traits from Picea glauca (white spruce) from a field site located in the northern latitudinal forest-tundra ecotone (FTE) near the Dalton Highway in northern Alaska, and from one study site located in Black Rock Forest, New York, USA. Measurements were collected with an open flow portable photosynthesis system (Li6400XT) and custom-built temperature-controlled cuvette. Respiration as a function of leaf temperature was measured continuously as the needle temperature was ramped from approximately 5 to 65 degrees C, at a constant rate of 1 degree C per minute. Additional data include tree diameter at breast height (dbh), leaf area, photosynthetic rate, intercellular C02, conductance to H20, tree height, and data from raw temperature curves. Results are reported on both a leaf area and leaf mass basis. The data are for the period 2018-06-06 to 2018-06-23 and are provided in comma-separated (CSV) format.",
         "license": "proprietary"
     },
@@ -36616,7 +37331,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2902140502-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2902140502-ORNL_CLOUD.html",
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         "description": "This dataset provides annual cumulative end-of-season burned area in circumpolar boreal forests and tundra for the years 2002-2022. The data were generated using the Arctic Boreal Burned Area (ABBA) version 2 algorithm with MODIS collection 6 products. The algorithm is based on Normalized Burned Ratio differencing (dNBR) and is designed specifically to capture late season fires. The annual MODIS Vegetation Continuous Fields (VCF) 250-m Collection 5.1 (MOD44B) product allowed for additional vegetation-dependent dNBR thresholds within the algorithm's processing steps. The spatial domain is circumpolar regions above 50 degrees north latitude. The data are provided in cloud-optimized GeoTIFF format with 463-m resolution.",
         "license": "proprietary"
     },
@@ -36629,7 +37344,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2175348008-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2175348008-ORNL_CLOUD.html",
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         "description": "This Arctic-Boreal CO2 fluxes (ABCflux) dataset contains monthly aggregates of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes: gross primary productivity (GPP) and ecosystem respiration. Over 70 supporting variables describe key site conditions (e.g., vegetation and disturbance type), micrometeorological and environmental measurements (e.g., air and soil temperatures), and flux measurement techniques. The data contained in this ABCflux dataset form a standardized monthly database of Arctic-Boreal CO2 fluxes (i.e., ABCflux Database) and include 244 sites and 6,309 monthly observations; 136 sites and 2,217 monthly observations represent tundra, and 108 sites and 4,092 observations represent the boreal biome. The data are for the period 1989 to 2020.",
         "license": "proprietary"
     },
@@ -36642,7 +37357,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776912302-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776912302-ORNL_CLOUD.html",
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         "description": "CO2 and water vapor fluxes and ecosystem characteristics were measured at 24 sites along a 317-km transect from the Arctic coast to the latitudinal treeline in Alaska during the growing seasons of 1994-1996.",
         "license": "proprietary"
     },
@@ -36655,7 +37370,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162120326-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162120326-ORNL_CLOUD.html",
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         "description": "This dataset provides environmental, soil, and vegetation data collected at selected locations in the parks and preserves of the National Park Service (NPS) Arctic Network (ARCN) between 2002 and 2008. The ARCN includes five national parks and preserves in northern Alaska encompassing 19.5 million acres and represents some of the wildest, most undisturbed areas left on earth: The Bering Land Bridge National Preserve, Cape Krusenstern National Monument, Gates of the Arctic National Park and Preserve, Kobuk Valley National Park, and the Noatak National Preserve. The sampling sites were chosen to represent the full range of vegetation in the area with replication, and for uniformity in floristic composition and environmental conditions and were positioned on transects along toposequences within major physiographic units (riverine, lacustrine, lowland, upland, subalpine and alpine). Specific attributes include dominant vegetation, species, and cover, soil chemistry, physical characteristics, moisture, and organic matter, as well as site disturbance from various sources.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2732592765-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2732592765-ORNL_CLOUD.html",
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         "description": "This dataset provides lab-measured soil properties, including soil water matric potential, soil dielectric properties, soil electrical conductivity, corresponding soil moisture. The dataset also includes the basic soil physical properties such as soil organic matter, bulk density, porosity, fiber content, root biomass, and mineral texture. Soil samples were collected from August 21 to August 27, 2018, from the surface to permafrost table in soil pits at nine sites along the Dalton Highway in northern and central regions of Alaska. Permittivity and soil electrical conductivity measurements were conducted using METER TEROS 12 probes. Soil moisture measurements were made with a TEROS 21 probe. The measurements were conducted in the lab over the span of three years. The purpose of soil collection and lab measurements was to develop an integrated framework that relates the hydrological properties to dielectric properties of permafrost active layer soil in support of the NASA Arctic and Boreal Vulnerability Experiment (ABoVE) Airborne Campaign.",
         "license": "proprietary"
     },
@@ -36694,7 +37409,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170968604-ORNL_CLOUD.html",
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         "description": "This data set provides the spatial distributions of vegetation types, geobotanical characteristics, and physiographic features for the circumpolar Arctic tundra biome for the period 1982-2003. Specific attributes include dominant vegetation, bioclimate subzones, floristic subprovinces, landscape types, lake coverage, Arctic treeline, elevation, and substrate chemistry data. Vegetation indices, trends, and biomass estimate products for the circumpolar Arctic through 2010 are also provided.",
         "license": "proprietary"
     },
@@ -36707,7 +37422,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170970821-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170970821-ORNL_CLOUD.html",
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         "description": "This data set provides a landcover map with 16 landcover classes for the northern coastal plain of the the Arctic National Wildlife Refuge (ANWR) on the North Slope of Alaska. The map was derived from Landsat Thematic Mapper (Landsat TM) data, Digital Elevation Models (DEMs), aerial photographs, existing maps, and extensive ground-truthing. The data used to derive the map cover the period 1982 to 1993.",
         "license": "proprietary"
     },
@@ -36720,7 +37435,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143811850-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143811850-ORNL_CLOUD.html",
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         "description": "This dataset provides soil-surface carbon dioxide (CO2) efflux derived from measurements of soil respiration with forced diffusion (FD) chambers. Soil Respiration Stations (SRS) were installed at 11 boreal and tundra sites along a broad south-to-north transect starting from near Fairbanks in interior Alaska and extending to Atqasuk in northern Alaska. Each SRS measures soil respiration and ambient atmospheric CO2 concentrations with a forced diffusion (FD) chamber to derive soil CO2 flux. The SRS also measures soil CO2 concentrations and temperatures using instrumented chambers buried at 5, 10, and 15 cm depths in the soil profile. At the highest measurement frequency, data are collected hourly, and during the lowest winter frequency, every 48 hours. The data include flux values and running median filtered values from the two or three FD chambers at each site. Soil CO2 and temperature profile data (beginning June 2017) were collected beginning 2016-08-18 through 2023-09-02. This dataset updates four sites with extended temporal coverage. As of this publication, sampling is continuing, and new data will be added as available.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969560-ORNL_CLOUD.html",
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         "description": "This data set provides environmental and vegetation data collected between 1978 and 1981 from 439 study plots at Arrigetch Peaks research site, located in the Gates of the Arctic National Park and Preserve in the Endicott Mountains of the central Brooks Range, Alaska. Plots varied between 1 and 50 square meters in size and were located in 13 broad habitat types across the glaciated landscape. Environmental data include aspect, elevation, and cover of bare soil, rock, soil crust, and litter. Species data are described according to the Braun-Blanquet system. This product brings together for easy reference all the available information collected from the vegetation plots in the Arrigetch Peaks region of Alaska.",
         "license": "proprietary"
     },
@@ -36746,7 +37461,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389075963-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389075963-ORNL_CLOUD.html",
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         "description": "This dataset provides measurements of atmospheric CO2 concentrations, carbon isotopes d13C and D14C, and fossil fuel CO2 (ffCO2) estimates from nine observation sites in California over three month-long campaigns in separate seasons of 2014-2015. ffCO2 was quantified based on the CO2 concentration and D14C. Simulations of ffCO2 at the sites and times of the observations were conducted with the Vulcan v2.2 fossil fuel emissions estimate for 2002 and the Weather Research and Forecasting - Stochastic Time-Inverted Lagrangian Transport (WRF-STILT) atmospheric model. The observed and simulated ffCO2 were incorporated into Bayesian inverse estimates of ffCO2 to calculate California's ffCO2 emissions during the campaign period.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969884-ORNL_CLOUD.html",
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         "description": "This data set provides vegetation species abundance data collected in 1975 from 60 sites on the Arctic Coastal Plain near Atqasuk, Alaska, as well as environmental and species data for 31 of the sites that were revisited in 2000 and 2010. The study sites are located on Arctic tundra near the Meade River, about 60 miles southwest of Barrow. Data includes baseline plot information for vegetation and site factors for the study plots subjectively located in 9 plant communities. Specific attributes include: site characteristics such as altitude, slope, aspect, and topographic position; soil pH and organic layer depth; and dominant plant communities. This product brings together for easy reference all of the available information collected from the plots that has been used for the classification, mapping, and analysis of geo-botanical factors at the Atqasuk research sites and across Alaska.",
         "license": "proprietary"
     },
@@ -38774,7 +39489,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2762903260-ORNL_CLOUD.html",
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         "description": "This data set reports stable isotope ratio data of CO2 (13C/12C and 18O/16O) associated with photosynthetic and respiratory exchanges across the biosphere-atmosphere boundary. Measurements were made at selected AmeriFlux sites including Harvard Forest, Howland Forest, Rannells Flint Hills Prairie, Niwot Ridge Forest, and the Wind River Canopy Crane Site, which span the dominant ecosystem types of the United States. These data were collected periodically from 2001 through 2004 and are available as an ASCII comma separated file.The goal of this Terrestrial Carbon Processes (TCP) project  is to better capture isotopic effects of ecosystem-atmosphere interaction at diurnal, seasonal and interannual time scales by long-term monitoring 13C of CO2 exchange with the atmosphere at weekly intervals. Photosynthesis and respiration in terrestrial ecosystems have opposite effects on diurnal and seasonal patterns on atmospheric CO2 concentration and isotope ratios. This isotopic variation contains information about the functioning of different terrestrial ecosystems.",
         "license": "proprietary"
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         "description": "This data set provides measurements of the isotopic composition of black carbon and organic carbon aerosols collected at two locations in interior Alaska during the summer of 2013, as part of NASA's Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The delta14C end member of fire aerosol was derived and linked to soil elemental and isotopic composition in Alaskan boreal forests. Soil and aerosol measurements were used to estimate average depth of burn in Alaska during the summer of 2013.",
         "license": "proprietary"
     },
@@ -38839,7 +39554,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763220929-ORNL_CLOUD.html",
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         "description": "This model product provides: (1) the source code for the updated Berkeley-Dalhousie Soil Nitric Oxide (NO) Parameterization module (BDSNP, Version 1.0) as implemented with the Community Multi-scale Air Quality model (CMAQ, Version 5.0.2), (2) module input data from historical and new sources of maps for soil biome type, fertilizer, and arid and non-arid climates, and (3) sample CMAQ simulation outputs for three BDSNP module NO parameterizations (standard, historical, and newer inputs). The simulations use a 12-km spatial grid resolution for CMAQ modeling covering the conterminous United States for July 2011.",
         "license": "proprietary"
     },
@@ -38904,7 +39619,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761735337-ORNL_CLOUD.html",
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         "description": "This land cover product was produced by NBIOME to generate an up-to-date, spatially and temporally consistent land cover map of the landmass of Canada for use by scientists and other users interested in environmental information at national and regional scales. This data set is gridded and was produced from 10-day composite data of surface parameters.",
         "license": "proprietary"
     },
@@ -38917,7 +39632,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956486000-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956486000-ORNL_CLOUD.html",
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         "description": "The objective of this land cover mosaic is to provide a data product that characterizes the detailed land cover of a significant portion of the BOREAS Region. Seven Landsat-5 TM images have been assembled to completely cover the BOREAS Transect.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956500512-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956500512-ORNL_CLOUD.html",
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         "description": "The BOREAS DSP-4 team acquired and analyzed imaging radar data from the ESA's ERS-1 over a complete annual cycle at the BOREAS sites in Canada in 1994 to detect shifts in radar backscatter related to varying environmental conditions. Two independent transitions correlating with snow melt and soil thaw onset, and possible canopy thaw were revealed by the data.",
         "license": "proprietary"
     },
@@ -38943,7 +39658,7 @@
         "bbox": "-111, 48, -90, 60",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956502557-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956502557-ORNL_CLOUD.html",
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         "description": "The BOREAS DSP-5 team generated a NPP image over the BOREAS region from a process-based ecosystem model, the Boreal Ecosystem Productivity Simulator (BEPS). The NPP image was created from a series of composited AVHRR images from April 11 - September 10, 1994. This document describes how the NPP is generated . The NPP data are stored in a binary image file. ",
         "license": "proprietary"
     },
@@ -38956,7 +39671,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956506477-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956506477-ORNL_CLOUD.html",
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         "description": "The LAI and canopy closure images over the BOREAS conifer flux tower sites were produced at a spatial resolution of 30 m using the Forest-Light Interaction Model.  The data used were obtained by the CASI instrument in high spatial resolution mode in the winter of 1994.  Additional high resolution LAI and canopy closure images were produced over the two black spruce flux tower sites using the FLIM-CLUS algorithm.",
         "license": "proprietary"
     },
@@ -38969,7 +39684,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956507865-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956507865-ORNL_CLOUD.html",
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         "description": "This data set contains maps of surface reflectance and vegetation parameters derived from imagery collected by the POLDER instrument over BOREAS conifer tower sites in the Southern Study Area (SSA) during 1994. The POLDER imagery provided in this data set was collected on June 1 and July 21, 1994, from the NASA C-130 aircraft platform.",
         "license": "proprietary"
     },
@@ -38982,7 +39697,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956512777-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956512777-ORNL_CLOUD.html",
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         "description": "BOREAS follow-on group DSP-9 mapped surface moss type at three scales (1 km, 30 m, and 10 m) based on observed associations between moss cover and land cover type.",
         "license": "proprietary"
     },
@@ -38995,7 +39710,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956514059-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956514059-ORNL_CLOUD.html",
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         "description": "This data set contains a pair of raster images and a spreadsheet chronicling the most recent fire history of Saskatchewan from 1945 to 1996.  This data set was developed from a series of ARC/INFO export files of annual fire data  compiled and provided by the Saskatchewan Environment and Resource Management (SERM) Wildlife Branch.",
         "license": "proprietary"
     },
@@ -39008,7 +39723,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956482500-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956482500-ORNL_CLOUD.html",
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         "description": "Existing TM and AVHRR based landcover maps, AVHRR-FPAR maps, AVHRR-LAI maps, moss cover maps, and a new peatland distribution map were regridded to scales of 2 km, 10 by 5 minute, and half-degree grids for use by the BOREAS Follow-On Carbon and Hydro-Meteorological modeling groups.",
         "license": "proprietary"
     },
@@ -39021,7 +39736,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956550434-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956550434-ORNL_CLOUD.html",
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         "description": "These images were produced by aggregating the 1-km land cover classification by Lou Steyaert at multiple resolutions (2 km, 10x5 minutes, and 0.5 degree). These data were regridded for use by the BOREAS Follow-on Carbon and Hydro-Meteorological modeling groups to have a number of data sets available in common grid projections and scales for intercomparison studies.",
         "license": "proprietary"
     },
@@ -39034,7 +39749,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956562366-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956562366-ORNL_CLOUD.html",
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         "description": "Existing 30-m land cover Thematic Mapper classification by CCRS was aggregated and reprocessed and are now available at multiple resolutions (10x5 minutes and 30 minutes).",
         "license": "proprietary"
     },
@@ -39047,7 +39762,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956549868-ORNL_CLOUD.html",
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         "description": "These images were produced by aggregating a reclassified version of the 30-m land cover Thematic Mapper classification by CCRS and are now available at multiple resolutions (10x5 minutes, and 30 minutes).",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956551312-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956551312-ORNL_CLOUD.html",
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         "description": "Existing 1-km moss cover classifications were reprocessed and are now available at multiple resolutions (2 km, 10x5 min, and 0.5 degree).  These data were regridded for use by the BOREAS Follow-on Carbon and Hydro-Meteorological modeling groups to have a number of data sets available in common grid projections and scales for intercomparison studies.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956559203-ORNL_CLOUD.html",
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         "description": "These images were produced by averaging the 1-km FASIR-NDVI maps by Jing Chen to a 10' (horizontal) by 5' (vertical) pixel size in a straight latitude/longitude grid.  Each pixel represents the average NDVI of the 1-km pixels that fall in each 10' by 5' pixel, where more than 50% of the 1-km pixels in the 10' by 5' area are not cloud and are not missing.  If more than 50% of the 1-km pixels are missing or cloudy, a value of 0 is assigned to the 10' by 5' pixel.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2766089604-ORNL_CLOUD.html",
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         "description": "These images were produced by aggregating 1' gridded data layers derived from the polygon-based Peatlands of Canada Database (Tarnocai et al., 2000) to 10' (horizontal) by 5' (vertical) and to 0.5 degree by 0.5 degree (or 30' by 30') pixel sizes in straight latitude/longitude grids.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956520856-ORNL_CLOUD.html",
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         "description": "The BOREAS Follow-On FLX-01 team derived NEE, GEE, and Respiration using measured tower C02 flux measurements taken at the NSA-OBS site.  The data provided contain half-hourly measurements as well as 4 and 5 day binned data sets.  The derived data covers the period from March 1994 through the end of 1998.",
         "license": "proprietary"
     },
@@ -39112,7 +39827,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956524589-ORNL_CLOUD.html",
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         "description": "The BOREAS Follow-On FLX-01 team collected tower flux, surface meteorological, and soil temperature data at the BOREAS NSA-OBS site continuously from March 1994 through December 1998.  Data from March 1994 through October 1996 are included in the BOREAS TF-03 effort while data from the end of October 1996 through December 1998 are included in the BOREAS Follow-on FLX-01 effort.",
         "license": "proprietary"
     },
@@ -39125,7 +39840,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956482764-ORNL_CLOUD.html",
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         "description": "Calculations of area-averaged fluxes using extracted flux data from BORIS.",
         "license": "proprietary"
     },
@@ -39138,7 +39853,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956485588-ORNL_CLOUD.html",
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         "description": "Tower flux and meteorological data were collected above 4 black spruce forest sites in the NSA that experienced stand-replacing wildfires in 1989,1981,1964 and 1930.  At each site, 4-6 weeks of data were collected during the peak growing season (June-September) in either 1999 or 2000.  Fluxes were measured using paired portable solar powered eddy flux systems. The data are part of an ongoing age sequence study that will result in year round eddy flux and meteorological measurements in seven sites that burned between 2 and 150 years ago.",
         "license": "proprietary"
     },
@@ -39151,7 +39866,7 @@
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         "description": "The BOREAS RSS-14 team collected and processed several Level-1 GOES-7 and GOES-8 image data sets for 1994-1996, and GOES-7 Level-2 for 1994 over the BOREAS study region.  This data set contains shortwave and longwave radiation images at the surface and top of the atmosphere derived from collected GOES-8 data. These GOES-8 Level-2 data cover the period from 12-Feb-1996 to 22-Oct-1996.",
         "license": "proprietary"
     },
@@ -39164,7 +39879,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956533064-ORNL_CLOUD.html",
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         "description": "A gridded data set has been assembled over the BOREAS hydro-meteorological study region that combines a precipitation data set based on a rain gauge network with precipitation estimates based on SSM/I satellite images.  The result is an hourly precipitation data set covering 122 consecutive days beginning on June 1, 1996.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956533344-ORNL_CLOUD.html",
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         "description": "Phase II and III gridded data sets have been generated by an objective analysis scheme using all of the surface meteorological station data over BOREAS region for 1994-1996. The meteorological variables in this data set are surface air pressure, air temperature, dew point temperature, wind speed, wind direction, precipitation, incoming solar (shortwave) radiation, and incoming infrared (longwave) radiation.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956536656-ORNL_CLOUD.html",
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         "description": "Point data developed from in situ observations at four flux tower sites were combined to produce continuous, above the canopy, meteorological forcing data sets. Meteorological variables of interest are surface air pressure, air temperature, dew point temperature, wind speed, wind direction, precipitation, incoming solar (shortwave) radiation, and incoming infrared (longwave) radiation.",
         "license": "proprietary"
     },
@@ -39203,7 +39918,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956536978-ORNL_CLOUD.html",
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         "description": "As part of the BOREAS Follow-on, an extended period of data collection was supported in the NSA because of the continued efforts at the NSA-OBS site.  This data set contains near-surface meteorological data collected and averaged over 15 minute intervals from two sites in the NSA, the SRC tower at the Thompson airport (YTH) and a temporary walkup wooden tower at the Old Black Spruce (OBS) tower site.",
         "license": "proprietary"
     },
@@ -39216,7 +39931,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956537698-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956537698-ORNL_CLOUD.html",
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         "description": "The Phase 3 gridded data sets provided by HMet-01 on an hourly time step have been converted to averaged daily files by the MOD-01 group to reduce the size and number of files used for input to some of the carbon models.",
         "license": "proprietary"
     },
@@ -39307,7 +40022,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2954635280-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2954635280-ORNL_CLOUD.html",
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         "description": "Biome-BGC is a computer program that estimates fluxes and storage of energy, water, carbon, and nitrogen for the vegetation and soil components of terrestrial ecosystems. The primary model purpose is to study global and regional interactions between climate, disturbance, and biogeochemical cycles. Biome-BGC represents physical and biological processes that control fluxes of energy and mass. These processes include new leaf growth and old leaf litterfall, sunlight interception by leaves and penetration to the ground, precipitation routing to leaves and soil, snow accumulation and melting, drainage and runoff of soil water, evaporation of water from soil and wet leaves, transpiration of soil water through leaf stomata, photosynthetic fixation of carbon from CO2 in the air, uptake of nitrogen from the soil, distribution of carbon and nitrogen to growing plant parts, decomposition of fresh plant litter and old soil organic matter, plant mortality, and fire. The model uses a daily time-step, meaning that each flux is estimated for a one-day period. Between days, the program updates its memory of the mass stored in different components of the vegetation, litter, and soil. Weather is the most important control on vegetation processes. Flux estimates in Biome-BGC depend strongly on daily weather conditions. Model behavior over time depends on climate--the history of these weather conditions. A companion file with more information about Biome-BGC and its components is available. Biome-BGC, Version 4.1.1, was developed and is maintained by the  Numerical Terradynamic Simulation Group, School of Forestry, the University of Montana, Missoula, Montana, U.S.A.  Additional information can be found on their web site at: http://www.ntsg.umt.edu/.",
         "license": "proprietary"
     },
@@ -39320,7 +40035,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956545118-ORNL_CLOUD.html",
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         "description": "This archived model product contains the directions, executables, and procedures for running Biome-BGC, Version 4.1.2, to recreate the results of the following article: Law, B. E., O. J. Sun, J. Campbell, S. Van Tuyl, and P. E. Thornton. 2003. Changes in carbon storage and fluxes in a chronosequence of ponderosa pine. Global Change Biology, 9(4), 510-514. Abstract excerpt: Forest development following stand-replacing disturbance influences a variety of ecosystem processes including carbon exchange with the atmosphere.  On a chronosequence of ponderosa pine (Pinius ponderosa var. Laws.) stands in central Oregon, U.S.A., we used biological measurements to estimate carbon storage in vegetation and soil pools, net primary productivity (NPP), and net ecosystem productivity (NEP) in relation to stand age. Measurements were made in 2000 on a suite of 12 ponderosa pine stands ranging in age from 9 to >300 years. Total ecosystem carbon storage and the fraction of ecosystem carbon in aboveground wood mass increased rapidly until 150-200 years and did not decline in older stands. Forest inventory data on 950 ponderosa pine plots in Oregon show that the greatest proportion of plots exist in stands ~100 years old, indicating that a majority of stands are approaching maximum carbon storage and net carbon uptake. Our data suggest that NEP averages ~70 g C m-2 year-1 for ponderosa pine forests in Oregon. About 85% of the total carbon storage in biomass on the survey plots exists in stands greater than 100 years, which has implications for managing forests for carbon sequestration. To investigate variation in carbon storage and fluxes with disturbance, simulation with process models requires a dynamic parameterization for biomass allocation that depends on stand age and should include a representation of competition between multiple plant functional types for space, water, and nutrients.",
         "license": "proprietary"
     },
@@ -39333,7 +40048,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956538963-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956538963-ORNL_CLOUD.html",
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         "description": "This archived model product contains the directions, executables, and procedures for running Biome-BGC, Version 4.1.1, to recreate the results of the following article: Thornton, P. E., B. E. Law, H. L. Gholz, K. L. Clark, E. Falge, D. S. Ellsworth, A. H. Goldstein, R. K. Monson,  D. Hollinger, M. Falk, J. Chen, and J. P. Sparks. 2002. Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agricultural and Forest Meteorology 113:185-222. Abstract: The effects of disturbance history, climate, and changes in atmospheric carbon dioxide (CO2) concentration and nitrogen deposition (Ndep) on carbon and water fluxes in seven North American evergreen forests are assessed using a coupled water, carbon, nitrogen model, canopy-scale flux observations, and descriptions of the vegetation type, management practices, and disturbance histories at each site. The effects of interannual climate variability, disturbance history, and vegetation ecophysiology on carbon and water fluxes and storage are integrated by the ecosystem process model Biome-BGC, with results compared to site biometric analyses and eddy covariance observations aggregated by month and year.  The model produced good estimates of between-site variation in leaf area index, with mixed performance for between- and within-site variation in evapotranspiration. There is a model bias toward smaller annual carbon sinks at five sites, with a seasonal model bias toward smaller warm-season sink strength at all sites.",
         "license": "proprietary"
     },
@@ -39398,7 +40113,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1291937275-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1291937275-NSIDC_ECS.html",
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         "description": "This data set contains spot elevation measurements of Arctic, Greenland, Antarctic, and Patagonia sea ice and ice surface acquired using the NASA Airborne Topographic Mapper (ATM) instrumentation.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1291937280-NSIDC_ECS.html",
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         "description": "This data set contains resampled and smoothed elevation measurements of Arctic and Antarctic sea ice, as well as Greenland, Arctic, Patagonia, and Antarctic region land ice surface acquired using the NASA Airborne Topographic Mapper (ATM) instrumentation.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1397419923-NSIDC_ECS.html",
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         "description": "This data set contains surface elevation data over Greenland  measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter.",
         "license": "proprietary"
     },
@@ -39489,7 +40204,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2767504386-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767504386-ORNL_CLOUD.html",
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         "description": "This data set provides Boreal Ecosystem-Atmosphere Study (BOREAS) project information and data collected at selected sites in the boreal forest of Saskatchewan and Manitoba, Canada from 1993 through 1996. The data include surface, airborne, and satellite-based observations. Note that all of the data products on these CDs have been archived as separate BOREAS data sets by the ORNL DAAC and in many cases the published data are later versions. Users should search for BOREAS data among these individual data sets. These data were originally distributed on 12 CD-ROMs, but are now archived as 12 zip files to ensure historical completeness of the BOREAS data record.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2759283655-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2759283655-ORNL_CLOUD.html",
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         "description": "This data set provides images of boreal forests in central Canada collected over numerous tower and auxiliary sites during the BOREAS Intensive Field Campaigns (IFCs) in the Northern (NSA) and Southern Study Areas (SSA). The images were acquired by helicopter with VHS video cameras during the green-up, peak, and senescent stages of the growing season from May-September of 1994.  These snapshots were generated from VHS imagery and converted to .jpg format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2761666619-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761666619-ORNL_CLOUD.html",
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         "description": "Scanning Lidar Imager of Canopies by Echo Recovery (SLICER) data were acquired in support of BOReal Ecosystem-Atmosphere Study (BOREAS) at all of the Tower Flux (TF) sites in the Southern and Northern Study Areas (SSA and NSA, respectively) and along transects between the study areas.  Data were acquired on 5 days between 18 and 30 July 1996. Each coverage of a tower site is typically 40 km in length, with a minimum of 3 and a maximum of 10 lines across each tower oriented in a variety of azimuths. The SLICER data were acquired simultaneously with Advanced Solid-State Array Spectroradiometer (ASAS) hyperspectral, multiview angle images. The SLICER Level 3 products consist of binary files for each flight line with a data record for each laser shot composed of 13 parameters and a 600-byte waveform that is the raw record of the back scatter laser energy reflected from Earth's surface.",
         "license": "proprietary"
     },
@@ -39593,7 +40308,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1726730204-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1726730204-NSIDC_ECS.html",
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         "description": "This data set contains depth sounder measurements of ice elevation, ice surface, ice bottom, and ice thickness over Greenland and Antarctica, acquired by the Multichannel Coherent Radar Depth Sounder (MCoRDS).",
         "license": "proprietary"
     },
@@ -40035,7 +40750,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162670421-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162670421-ORNL_CLOUD.html",
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         "description": "This data set provides vegetation cover and environmental plot data collected on the Barrow Environmental Observatory (BEO), Barrow, Alaska in 2012. Forty-eight 1 x 1 m plots were established in homogenous plant communities along two perpendicular transects across ice wedge polygon geomorphic features on the BEO. Plots were distinguished as to their location within the polygons as center, edge, or trough. Vegetation data were originally collected by the U.S. Department of Energy (DOE) Next-Generation Ecosystem Experiment (NGEE) Arctic Project as part of a larger study to understand the response of Arctic terrestrial ecosystems to climate change.",
         "license": "proprietary"
     },
@@ -40048,7 +40763,7 @@
         "bbox": "-156.71, 71.29, -156.66, 71.3",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162119068-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162119068-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMgYXQgYXRxYXN1aywgYWxhc2thLCAxOTc1LCAyMDAwLCBhbmQgMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiQXRxYXN1a19WZWdfUGxvdHNfMTM3MVwiLFwiMVwiLDIxNzA5Njk4ODQsNV0iLCJ1bW0iOiJbXCJhcmN0aWMgdmVnZXRhdGlvbiBwbG90cyBhdCBhdHFhc3VrLCBhbGFza2EsIDE5NzUsIDIwMDAsIGFuZCAyMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJBdHFhc3VrX1ZlZ19QbG90c18xMzcxXCIsXCIxXCIsMjE3MDk2OTg4NCw1XSJ9/Barrow_Tundra_Veg_Plots_1535_1",
         "description": "This data set provides vegetation cover and environmental plot data collected as part of the International Biological Program (IBP), U. S. Tundra Biome Program, in Barrow, Alaska in 1972. Forty-three (43) plots were assessed for estimated percent land cover by species and plot data including moisture, topographic position, slope, aspect, shape, and soil data. In 1999, 2008, and 2010, 33 of the same plots were resampled for these same measures as part of the IPY \"Back to the Future: Resampling old research sites to assess changes in high latitude terrestrial ecosystem structure and function\" project. The tundra at Barrow is considered coastal tundra located in the most northern region of North Slope and is characterized by various microtopographic features such as polygons, as well as many ponds and lakes.",
         "license": "proprietary"
     },
@@ -40061,7 +40776,7 @@
         "bbox": "-156.64, 70.12, -143.6, 71.33",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162119048-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162119048-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMgYXQgYXRxYXN1aywgYWxhc2thLCAxOTc1LCAyMDAwLCBhbmQgMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiQXRxYXN1a19WZWdfUGxvdHNfMTM3MVwiLFwiMVwiLDIxNzA5Njk4ODQsNV0iLCJ1bW0iOiJbXCJhcmN0aWMgdmVnZXRhdGlvbiBwbG90cyBhdCBhdHFhc3VrLCBhbGFza2EsIDE5NzUsIDIwMDAsIGFuZCAyMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJBdHFhc3VrX1ZlZ19QbG90c18xMzcxXCIsXCIxXCIsMjE3MDk2OTg4NCw1XSJ9/Barter_Barrow_Veg_Plots_1534_1",
         "description": "This dataset provides vegetation cover and environmental plot and soil data collected at two U.S. Air Force sites at Barter Island (BI) and Point Barrow (B), on the coastal North Slope of Alaska, in 1994. At Barter Island, 31 plots, and 30 plots at Barrow, were subjectively located in 14 plant communities. The investigation was part of a larger study initiated by the United States Congress to provide an opportunity to enhance the stewardship of the natural and cultural resources land under Department of Defense jurisdiction. These two sites were characterized to build an inventory of the biotic communities to compare them to historic communities.",
         "license": "proprietary"
     },
@@ -40178,7 +40893,7 @@
         "bbox": "-125, -40, 155, 60",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2515937777-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515937777-ORNL_CLOUD.html",
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         "description": "This dataset contains estimates of biogenic CO2 flux components at 0.05 degree resolution from the Solar-Induced Fluorescence (SIF) for Modeling Urban biogenic Fluxes (SMUrF) model. Estimates were produced for the following regions and periods: eastern and western CONUS (2010-2019), western Europe (2010-2014 and 2017-2018), eastern Asia, eastern China, eastern Australia, South America, and Central Africa (2017-2018). Modeled CO2 flux components include gross primary production (GPP), ecosystem respiration (Reco), and net ecosystem exchange (NEE). Four-day means of GPP are estimated from solar-induced fluorescence (SIF) and biome-specific GPP-SIF relationships. Daily estimates of Reco are included. In addition, GPP and Reco were downscaled to hourly estimates and used to generate hourly NEE. Uncertainties for 4-day GPP and daily Reco estimates are provided. The input data streams included 500 m MODIS-based annual land cover classification, 0.05 degree spatiotemporally contiguous SIF, above-ground biomass (AGB) from GlobBiomass, eddy-covariance (EC) flux measurements, and gridded products of air and soil temperatures.",
         "license": "proprietary"
     },
@@ -40880,7 +41595,7 @@
         "bbox": "-81.53, 24.8, -80.35, 29.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2908705809-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2908705809-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYmlvbWFzcyBvZiBzYWNyaWZpY2VkIHNwcnVjZS9hc3BlbiAoc25mKVwiLFwiT1JOTF9DTE9VRFwiLFwiU05GX0JJT01BU1NfMTQxXCIsXCIxXCIsMjg4NDk3MTg1NiwyXSIsInVtbSI6IltcImJpb21hc3Mgb2Ygc2FjcmlmaWNlZCBzcHJ1Y2UvYXNwZW4gKHNuZilcIixcIk9STkxfQ0xPVURcIixcIlNORl9CSU9NQVNTXzE0MVwiLFwiMVwiLDI4ODQ5NzE4NTYsMl0ifQ%3D%3D/BlueFlux_AirborneObs_Florida_2327_1",
         "description": "This dataset includes airborne in situ measurements of greenhouse gas mixing ratios, meteorological parameters, and fluxes (CO2, CH4, latent heat fluxes, friction velocity, and convective velocity scale) calculated with wavelet transforms. CO2, CH4, CO, O3, and water vapor mixing ratios, and meteorological variables were obtained from a Beechcraft A90 King Air aircraft. Flights occurred on April 19-26 2022, October 14-20 2022, February 5-13 2023, and April 13-19 2023 as part of the BlueFlux campaign, funded by NASA's Carbon Monitoring System program. Measurements were made with several instruments, including a PICARRO 2401-m (0.5 Hz CO2/CH4/H2O/CO), PICARRO 2311-f (10 Hz CO2/CH4/H2O), NASA Rapid Ozone Experiment (ROZE, 10 Hz O3), and AIMMS-20 probe (3-D winds, meteorology, and aircraft location data). Flight lines span Everglades National Park (ENP) and Big Cypress National Preserve (BCNP) in southern Florida, USA. The measurements were used to calculate vertical fluxes of trace gases and heat via wavelet transform eddy covariance",
         "license": "proprietary"
     },
@@ -40893,7 +41608,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2953883896-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2953883896-ORNL_CLOUD.html",
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         "description": "This dataset provides dissolved carbon (dissolved inorganic carbon and dissolved organic carbon), greenhouse gases, dissolved organic matter optical, and hydrological (water temperature, pH, alkalinity, dissolved oxygen) data collected from the Shark and Harney tidal rivers in the Everglades, Florida, USA. The data were collected as part of the NASA Carbon Monitoring System (CMS) BlueFlux field campaigns over the 2022 wet season (October 2022) and 2023 dry season (March 2023). Data includes single-collection samples collected from sites along both rivers and samples collected by an autosampler at one site over multiple tidal cycles. The data are provided in comma-separated values (.csv) format.",
         "license": "proprietary"
     },
@@ -40906,7 +41621,7 @@
         "bbox": "-127.61, 22.93, -65.72, 51.31",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2515316479-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515316479-ORNL_CLOUD.html",
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         "description": "This dataset contains shapefiles showing location of tidal wetland parcels with the potential for net greenhouse gas removal if restored from current mapped condition to unimpeded tidal wetlands. These maps focus on managed lands in the contiguous United States along the ocean coasts and show impounded wetlands where reconnecting tidal flow could diminish methane production. The maps include current dominant wetland type, restoration category, potential removal of atmospheric greenhouse gases in units of mass carbon dioxide with estimates of uncertainty.",
         "license": "proprietary"
     },
@@ -40932,7 +41647,7 @@
         "bbox": "-180, 45, 180, 72",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2262495772-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2262495772-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IGwxIHMtMCBwb2xhcmltZXRyaWMgZGF0YSBmcm9tIHVhdnNhciBwLWJhbmQgc2FyLCBhbGFza2EgYW5kIGNhbmFkYSwgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQUJvVkVfTDFfUF9TQVJfMTgwMFwiLFwiMVwiLDIxNDM0MDE3NzMsN10iLCJ1bW0iOiJbXCJhYm92ZTogbDEgcy0wIHBvbGFyaW1ldHJpYyBkYXRhIGZyb20gdWF2c2FyIHAtYmFuZCBzYXIsIGFsYXNrYSBhbmQgY2FuYWRhLCAyMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBQm9WRV9MMV9QX1NBUl8xODAwXCIsXCIxXCIsMjE0MzQwMTc3Myw3XSJ9/BorealForest_Greenness_Trends_2023_1",
         "description": "This dataset provides information on interannual trends in annual maximum vegetation greenness from 1985 to 2019 for recently undisturbed areas in the boreal forest biome. Multi-decadal changes in remotely sensed vegetation greenness provide evidence of an emerging boreal biome shift driven by climate warming. Annual maximum vegetation greenness was assessed at about 100,000 random sample locations using an ensemble of spectral vegetation indices (NDVI, EVI2, kNDVI, and NIRv) derived from Landsat products. The dataset provides raster data summarizing vegetation greenness trends for sample locations stratified by Ecological Land Unit in GeoTIFF format. These raster data span the circum-hemispheric boreal forest biome between 45 to 70 degrees north at 300 m resolution. Estimates of uncertainty were generated using Monte Carlo simulations. Interannual trends in annual maximum vegetation greenness from 1985 to 2019 and 2000 to 2019 are provided for sample locations with adequate data for time series analysis; these data are in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -40945,7 +41660,7 @@
         "bbox": "-179.82, 43.71, 178.4, 78.53",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756302505-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756302505-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of Aboveground dry woody Biomass Density (AGBD) for high northern latitude forests at a 30-m spatial resolution. It is designed both for boreal-wide mapping and filling the northern spatial data gap from NASA's Global Ecosystem Dynamics Investigation (GEDI) project. Mapping forest aboveground biomass is essential for understanding, monitoring, and managing forest carbon stocks toward climate change mitigation. The AGBD estimates cover the extent of high latitude boreal forests and extend southward to 50 degrees latitude outside the boreal zone. AGBD was predicted using two modeling steps: 1) Ordinary Least Squares (OLS) regression related field plot measurements of AGBD to NASA's ICESat-2 30-m lidar samples, and 2) random forest models were used to extend estimates beyond the field plots by relating ICESat-2 AGBD predictions to wall-to-wall covariate stacks from Harmonized Landsat Sentinel-2 (HLS) and the Copernicus DEM. Per-pixel uncertainties are estimated from bootstrapping both models. Non-vegetated areas (e.g. built up, water, rock, ice) were masked out. HLS composites and ICESat-2 data were from 2019-2021; three years of conditions were aggregated into the circa 2020 map. ICESat-2 data were filtered to include only strong beams, growing seasons (June through September), solar elevations less than 5 degrees, snow free land (snow flag set to 1), and \"msw_flag\" equal to 0 (clear skies and no observed atmospheric scattering). ICESat-2's ATL08 product was resampled to a 30-m spatial resolution to better match both the field plots and mapped pixels. HLS data (L30HLS) were used to create a greenest pixel composite of growing season multispectral data, which was then used to compute a suite of vegetation indices: NDVI, NDWI, NBR, NBR2, TCW, TCG. These were then used, in combination with the slope and elevation data from the Copernicus DEM product, to predict 30-m AGBD per 90-km tile. Estimates of mean AGBD with standard deviation are provided in cloud-optimized GeoTIFF (CoG) format. Training data are in comma-separated values (CSV) format. A polygon map of data tiles is included as a GeoPackage file and a Shapefile.",
         "license": "proprietary"
     },
@@ -40958,7 +41673,7 @@
         "bbox": "-179.76, 44.87, 179.75, 89.75",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3170774861-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3170774861-ORNL_CLOUD.html",
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         "description": "This dataset provides an upscaled estimate of Boreal-Arctic wetland CH4 emissions at a weekly time scale from 2002 to 2021 at 0.5 by 0.5-degree spatial resolution. Ground truth data on wetland CH4 emissions from eddy covariance towers (139 site years) and chambers (168 site years) were used to train and validate a causality-guided machine learning model. The trained model was then used to estimate CH4 emissions at grid cells that have wetlands and located above 44 degrees north. The data are provided in netCDF format.",
         "license": "proprietary"
     },
@@ -40971,7 +41686,7 @@
         "bbox": "-180, 45, 180, 73",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2539841646-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2539841646-ORNL_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNhci1iYXNlZCBtZXRoYW5lIGVidWxsaXRpb24gZmx1eCBmcm9tIGxha2VzLCBmaXZlIHJlZ2lvbnMsIGFsYXNrYSwgMjAwNy0yMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJTQVJfTWV0aGFuZV9FYnVsbGl0aW9uX0FLXzE3OTBcIixcIjFcIiwyMTQzNDAxOTAxLDZdIiwidW1tIjoiW1wiYWJvdmU6IHNhci1iYXNlZCBtZXRoYW5lIGVidWxsaXRpb24gZmx1eCBmcm9tIGxha2VzLCBmaXZlIHJlZ2lvbnMsIGFsYXNrYSwgMjAwNy0yMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJTQVJfTWV0aGFuZV9FYnVsbGl0aW9uX0FLXzE3OTBcIixcIjFcIiwyMTQzNDAxOTAxLDZdIn0%3D/Boreal_CanopyCover_StandAge_2012_1",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/Boreal_CanopyCover_StandAge_2012_1",
         "description": "This dataset contains Landsat-derived locally-calibrated estimates of tree canopy cover (TCC) and forest stand age across global boreal forests from 1984-2020 in Cloud-Optimized GeoTIFF (*.tif) format. These raster data span the circum-hemispheric boreal forest biome between 47 to 73 degrees north at 30 m resolution. Machine learning models calibrated with data from the World Reference System 2 were used to predict TCC from Landsat data at 30-m spatial resolution at annual temporal resolution. Through analysis of TCC time series, forest change estimates of stand age from 1984-2020 were developed. The broad spatial and temporal coverage of these data provide insight into forest and carbon dynamics of the global boreal forest system. Boreal forests store a large proportion of global soil and biomass carbon and have experienced disproportionately high levels of warming over the past century.",
         "license": "proprietary"
     },
@@ -40984,7 +41699,7 @@
         "bbox": "-180, 40, 180, 80",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2767484391-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767484391-ORNL_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHNjYWxpbmcgdmVnZXRhdGlvbiBkeW5hbWljcyBhY3Jvc3Mgc291dGggYW1lcmljYVwiLFwiT1JOTF9DTE9VRFwiLFwiRURNX1NBX1ZlZ2V0YXRpb25fMTE0OVwiLFwiMVwiLDI5NjYxODg3OTUsM10iLCJ1bW0iOiJbXCJlY29zeXN0ZW0gZGVtb2dyYXBoeSBtb2RlbDogc2NhbGluZyB2ZWdldGF0aW9uIGR5bmFtaWNzIGFjcm9zcyBzb3V0aCBhbWVyaWNhXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fU0FfVmVnZXRhdGlvbl8xMTQ5XCIsXCIxXCIsMjk2NjE4ODc5NSwzXSJ9/Boreal_Fire_Severity_Metrics_1520_1",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIiwidW1tIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIn0%3D/Boreal_Fire_Severity_Metrics_1520_1",
         "description": "This data set provides products characterizing immediate and longer-term ecosystem changes from fires in the circumpolar boreal forests of Northern Eurasia and North America. The data include fire intensity (fire radiative power; FRP), increase in spring albedo, decrease in tree cover, normalized burn ratio, normalized difference vegetation index, and land surface temperature, as well as three derived fire metrics: crown scorch, vegetation destruction, and fire-induced tree mortality. Longer-term changes are indicated by mean albedo determined 5-12 years after fires, mean percent decrease in tree cover 5-7 years after fires, and mean annual burned percentage. The data cover the period 2001-2013 and are provided at quarter, half, and one degree resolutions for boreal forests within the 40 to 80 degree North circumpolar region. The data were derived from a variety of sources including MODIS products, climate reanalysis data, and forest inventories. A data file with identified boreal forest area (pixels), as defined by climate and vegetation type, and a file with the defined North American and Eurasian boreal forest study regions are included.",
         "license": "proprietary"
     },
@@ -41417,6 +42132,19 @@
         "description": "CAL_LID_L2_05kmALay-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Aerosol Layer Data, Version 4-21 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The version of this product was changed from 4-20 to 4-21 to account for a change in the operating system of the CALIPSO production cluster. Data collection for this product is complete.    Within the Lidar Aerosol Layer Product, there are two general classes of data:- Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     CALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'\u00e9tudes spatiales).",
         "license": "proprietary"
     },
+    {
+        "id": "CAL_LID_L2_05kmALay-Standard-V4-51_V4-51",
+        "title": "CALIPSO Lidar Level 2 5 km Aerosol Layer Data, V4-51",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2006-06-11",
+        "end_date": "2023-06-30",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461297-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461297-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGFzIHAtM2IgYWlyY3JhZnQgYWF0czE0IGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFSQ1RBU19BaXJjcmFmdFJlbW90ZVNlbnNpbmdfUDNCX0FBVFMxNF9EYXRhXCIsXCIxXCIsMzIyODk3MTI3OSwxXSIsInVtbSI6IltcImFyY3RhcyBwLTNiIGFpcmNyYWZ0IGFhdHMxNCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBUkNUQVNfQWlyY3JhZnRSZW1vdGVTZW5zaW5nX1AzQl9BQVRTMTRfRGF0YVwiLFwiMVwiLDMyMjg5NzEyNzksMV0ifQ%3D%3D/CAL_LID_L2_05kmALay-Standard-V4-51_V4-51",
+        "description": "CAL_LID_L2_05kmALay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Aerosol Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'\u00e9tudes spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.",
+        "license": "proprietary"
+    },
     {
         "id": "CAL_LID_L2_05kmALay-Standard-V4-51_V4-51",
         "title": "CALIPSO Lidar Level 2 5 km Aerosol Layer Data, V4-51",
@@ -41521,6 +42249,19 @@
         "description": "CAL_LID_L2_05kmCLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Cloud Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.",
         "license": "proprietary"
     },
+    {
+        "id": "CAL_LID_L2_05kmCLay-Standard-V4-51_V4-51",
+        "title": "CALIPSO Lidar Level 2 5 km Cloud Layer, V4-51",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2006-06-11",
+        "end_date": "2023-06-30",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461769-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461769-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGFzIHAtM2IgYWlyY3JhZnQgYWF0czE0IGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFSQ1RBU19BaXJjcmFmdFJlbW90ZVNlbnNpbmdfUDNCX0FBVFMxNF9EYXRhXCIsXCIxXCIsMzIyODk3MTI3OSwxXSIsInVtbSI6IltcImFyY3RhcyBwLTNiIGFpcmNyYWZ0IGFhdHMxNCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBUkNUQVNfQWlyY3JhZnRSZW1vdGVTZW5zaW5nX1AzQl9BQVRTMTRfRGF0YVwiLFwiMVwiLDMyMjg5NzEyNzksMV0ifQ%3D%3D/CAL_LID_L2_05kmCLay-Standard-V4-51_V4-51",
+        "description": "CAL_LID_L2_05kmCLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Cloud Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.",
+        "license": "proprietary"
+    },
     {
         "id": "CAL_LID_L2_05kmCPro-Standard-V4-20_V4-20",
         "title": "CALIPSO Lidar Level 2 Cloud Profile, V4-20",
@@ -41586,6 +42327,19 @@
         "description": "CAL_LID_L2_05kmMLay-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 5 km Merged Layer, Version 4-21 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The version of this product was changed from 4-20 to 4-21 to account for a change in the operating system of the CALIPSO production cluster.     CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).",
         "license": "proprietary"
     },
+    {
+        "id": "CAL_LID_L2_05kmMLay-Standard-V4-51_V4-51",
+        "title": "CALIPSO Lidar Level 2 5 km Merged Layer, V4-51",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2006-06-11",
+        "end_date": "2023-06-30",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461364-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461364-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGFzIHAtM2IgYWlyY3JhZnQgYWF0czE0IGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFSQ1RBU19BaXJjcmFmdFJlbW90ZVNlbnNpbmdfUDNCX0FBVFMxNF9EYXRhXCIsXCIxXCIsMzIyODk3MTI3OSwxXSIsInVtbSI6IltcImFyY3RhcyBwLTNiIGFpcmNyYWZ0IGFhdHMxNCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBUkNUQVNfQWlyY3JhZnRSZW1vdGVTZW5zaW5nX1AzQl9BQVRTMTRfRGF0YVwiLFwiMVwiLDMyMjg5NzEyNzksMV0ifQ%3D%3D/CAL_LID_L2_05kmMLay-Standard-V4-51_V4-51",
+        "description": "CAL_LID_L2_05kmMLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Merged (cloud + aerosol) Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.",
+        "license": "proprietary"
+    },
     {
         "id": "CAL_LID_L2_05kmMLay-Standard-V4-51_V4-51",
         "title": "CALIPSO Lidar Level 2 5 km Merged Layer, V4-51",
@@ -42440,7 +43194,7 @@
         "bbox": "-79.89, 35.18, -73.56, 41.11",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736709887-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736709887-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY2Fub3B5IGhlaWdodCBhbmQgYmlvbWFzcyBmcm9tIGxpZGFyIHN1cnZleXMgYXQgbGEgc2VsdmEsIGNvc3RhIHJpY2EsIDE5OTggYW5kIDIwMDVcIixcIk9STkxfQ0xPVURcIixcIkxhU2VsdmFfTGFuZF9Vc2VfMTMxMlwiLFwiMVwiLDI3NzMyNTgwODgsMl0iLCJ1bW0iOiJbXCJjYW5vcHkgaGVpZ2h0IGFuZCBiaW9tYXNzIGZyb20gbGlkYXIgc3VydmV5cyBhdCBsYSBzZWx2YSwgY29zdGEgcmljYSwgMTk5OCBhbmQgMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiTGFTZWx2YV9MYW5kX1VzZV8xMzEyXCIsXCIxXCIsMjc3MzI1ODA4OCwyXSJ9/CARAFE_2016_2017_v2_2002_1.1",
         "description": "This dataset provides airborne eddy covariance (EC) fluxes of carbon dioxide, methane, sensible heat, and latent heat at high spatial resolution collected during the NASA Carbon Airborne Flux Experiment (CARAFE) airborne 2016 and 2017 campaigns. CARAFE utilized the NASA C-23 Sherpa aircraft with a suite of commercial and custom instrumentation. Deployment occurred across the Mid-Atlantic Region for the period 2016-09-07 through 2016-09-26 and 2017-05-03 through 2017-05-26. The data also include downwelling radiation, water vapor, pressure, temperature, wind, and aircraft navigation data. Airborne EC can quantify surface fluxes at local to regional scales, potentially helping to bridge gaps between top-down and bottom-up flux estimates and offering novel insights into biophysical and biogeochemical processes.",
         "license": "proprietary"
     },
@@ -42492,7 +43246,7 @@
         "bbox": "-169.75, 50.25, -130.25, 74.75",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2236316723-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236316723-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY2Fub3B5IGhlaWdodCBhbmQgYmlvbWFzcyBmcm9tIGxpZGFyIHN1cnZleXMgYXQgbGEgc2VsdmEsIGNvc3RhIHJpY2EsIDE5OTggYW5kIDIwMDVcIixcIk9STkxfQ0xPVURcIixcIkxhU2VsdmFfTGFuZF9Vc2VfMTMxMlwiLFwiMVwiLDI3NzMyNTgwODgsMl0iLCJ1bW0iOiJbXCJjYW5vcHkgaGVpZ2h0IGFuZCBiaW9tYXNzIGZyb20gbGlkYXIgc3VydmV5cyBhdCBsYSBzZWx2YSwgY29zdGEgcmljYSwgMTk5OCBhbmQgMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiTGFTZWx2YV9MYW5kX1VzZV8xMzEyXCIsXCIxXCIsMjc3MzI1ODA4OCwyXSJ9/CARVE_Ecosystem_CH4_Flux_1558_1",
         "description": "This dataset provides methane flux estimates derived from airborne measurements collected over Alaska and the western Yukon Territory during the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) between 2012 and 2014. The state-scale methane fluxes were calculated using a combination of atmospheric profiles and lagrangian transport modeling. The methane flux estimates were used in a simple linear regression model to estimate the fluxes from the tundra and boreal ecosystems. Methane fluxes were also used with a combination of environmental variables to derive a statistical relationship between domain-wide flux and soil temperature. Soil temperature products from North American Regional Reanalysis and derived parameters from a Boltmann-Arrhenius model were used to model methane flux and related uncertainties within the domain at monthly and daily frequencies.",
         "license": "proprietary"
     },
@@ -42505,7 +43259,7 @@
         "bbox": "-168.11, 58.84, -131.75, 71.43",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2236316336-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236316336-ORNL_CLOUD.html",
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         "description": "This data set contains Level 1 spectral radiance data collected using the Fourier Transform Spectrometer (FTS) during airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.",
         "license": "proprietary"
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         "description": "This data set provides high-frequency geolocation, time, height, pitch, roll, and heading information for the C-23 Sherpa aircraft during airborne campaigns over the Alaskan and Canadian Arctic as part of the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The data were collected in situ using the Digital Air Data System (DADS) onboard the aircraft and are presented at 1-second intervals throughout each flight. Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The measurements included in this data set are useful for matching aircraft position with the scientific data collected by other CARVE airborne instruments.",
         "license": "proprietary"
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         "description": "This data set provides high-frequency wind speed and direction data for the C-23 Sherpa aircraft during airborne campaigns over the Alaskan and Canadian Arctic as part of the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The data were collected in situ using the Aventech AIMMS-30 Airborne Wind Sensor onboard the aircraft and are presented at 1-second intervals throughout each flight. The Winds instrument was available for flights in year 2015 only. The measurements included in this data set are most useful when paired with the scientific data collected by other CARVE airborne instruments.",
         "license": "proprietary"
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         "description": "This data set provides ground in situ flux and meteorological science data from fixed instruments at three eddy covariance tower sites located in the Alaskan Arctic tundra. Real and gap-filled observations of carbon dioxide, methane, water vapor, and latent energy flux in addition to standard meteorological and environmental variables are reported at half-hourly intervals between 2011 and 2015 for sites at Atqasuk, Barrow, and Ivotuk, Alaska. The three sites form a 300-km north-south transect on the North Slope of Alaska, each site representing distinct Arctic vegetation communities. These tower measurements create a long-term record of one of the largest, most volatile carbon stocks on the planet. Observations from these towers are being used to determine the seasonal and inter-annual patterns of CO2 and CH4 flux, and their relationship to changes in environmental factors.",
         "license": "proprietary"
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         "license": "proprietary"
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         "description": "This data set provides atmospheric methane (CH4), carbon dioxide (CO2), and carbon monoxide (CO) dry air mole fractions and water vapor mole fractions (H2O) from continuous in situ measurements at the CARVE flux tower in Fox, Alaska between October 2011 and May 2015 for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Air was drawn from three different heights above the base of the tower (31.7 m, 17.1 m, and 4.9 m) and analyzed using a Picarro cavity ring-down spectrometer (CRDS). Measurements of ambient and sonic temperature, vertical and horizontal velocity, and atmospheric pressure are also included in the data set.",
         "license": "proprietary"
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@@ -42583,7 +43337,7 @@
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         "description": "This data set provides atmospheric carbon dioxide (CO2), methane (CH4), and carbon monoxide (CO) concentrations from airborne campaigns over the Alaskan and Canadian arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The data were collected in situ using a four-species cavity ring-down spectrometer system (CRDS; Picarro Inc.) provided by Harvard University and are presented at 5-second intervals throughout each flight. The Harvard CRDS instrument only collected data in 2012-2014; no Harvard data are available for year 2015. Aircraft latitude, longitude, and altitude are also provided. CARVE flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.",
         "license": "proprietary"
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@@ -42596,7 +43350,7 @@
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         "description": "This data set provides atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), ozone (O3), and water vapor (H2O) concentrations from airborne campaigns over the Alaskan and Canadian arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). These data are merged and gap-filled outputs from two different cavity ring-down spectrometers (CRDS; Picarro Inc.) flown aboard the CARVE aircraft and are presented at 5-second intervals throughout each flight. Aircraft latitude, longitude, and altitude are also provided. Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.",
         "license": "proprietary"
     },
@@ -42609,7 +43363,7 @@
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         "license": "proprietary"
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         "description": "This data set provides total vertical column O2, CO2, CH4, CO, and H2O, as well as dry-air columns of CO2, CH4, CO, and H2O from airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The data represent the Level 2 Quick Retrieval (L2QR) data product collected using the CARVE Fourier Transform Spectrometer (FTS). Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.",
         "license": "proprietary"
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         "description": "This data set provides atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), molecular hydrogen (H2), nitrous oxide (N2O), sulfur hexafluoride (SF6), and other trace gas mole fractions (i.e. \"concentrations\") from airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The CARVE flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas abundances. The data were derived from laboratory measurements of whole air samples collected by a Programmable Flask Package (PFP) onboard the CARVE aircraft. Air samples were collected at strategic intervals to coincide with the overflight of a ground site of interest, or when interesting geophysical conditions were encountered. While most of these samples were collected near the surface in the planetary boundary layer (PBL), on almost every flight samples were also collected in the free troposphere. A minimum of 12 flask samples were collected per flight. Whole air samples collected in the PFPs were analyzed on automated systems at the NOAA Earth System Research Laboratory (ESRL) Global Monitoring Division in Boulder, CO, which also analyzes samples from the NOAA/ESRL Global Greenhouse Gas Reference Network. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.",
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         "description": "This data set provides atmospheric carbon dioxide, methane, carbon monoxide, molecular hydrogen, nitrous oxide, sulfur hexafluoride, and other trace gas mole fractions (i.e. \"concentrations\") from a flask sampling system at the CARVE flux tower in Fox, Alaska for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The data were derived from laboratory measurements of whole air samples collected by a Programmable Flask Package (PFP) from the top of the tower at 32 m above ground level during late evening multiple times per month since January 2012. Whole air samples collected in the PFPs were analyzed on automated systems at the NOAA Earth System Research Laboratory (ESRL) Global Monitoring Division in Boulder, CO, which also analyzes samples from the NOAA/ESRL Global Greenhouse Gas Reference Network. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.",
         "license": "proprietary"
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         "description": "This data set provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) Footprint data products for particle receptors located at positions along Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) flight paths (2012 - 2015) and various meteorological stations in Alaska and the Canadian Arctic. Each product consists of multiple NetCDF footprint files packaged as a TAR/GZIP file. These aircraft and station positions were treated as receptors in the WRF-STILT model in order to simulate the land surface influence on observed atmospheric constituents. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.",
         "license": "proprietary"
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         "description": "This data set provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) model inputs for particle receptors located at positions along Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) flight paths (2012 - 2015) and various meteorological stations in Alaska and the Canadian Arctic. Each product consists of multiple NetCDF files packaged as a TAR/GZIP file. These data correspond to WRF-STILT model footprint data also generated by the CARVE science team.",
         "license": "proprietary"
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@@ -42687,7 +43441,7 @@
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         "description": "This data set provides daily 10 km resolution maps of the Alaskan and Arctic Boreal land surface state as either frozen, melting, or thawed. These data are generated from passive microwave radiometer observations made from 2003 through 2014 by the Advanced Microwave Scanning Radiometer (AMSR-E) and the Special Sensor Microwave Imager (SSM/I). Data products overlap with science data collections carried out during the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE).",
         "license": "proprietary"
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@@ -42700,7 +43454,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236316709-ORNL_CLOUD.html",
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         "description": "This dataset contains photos taken by scientists aboard the CARVE aircraft during airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content.",
         "license": "proprietary"
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@@ -42713,7 +43467,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236316633-ORNL_CLOUD.html",
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         "description": "This dataset includes detailed daily flight reports from each of the airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The reports include plots of the flight path, altitude, wind and weather conditions, IR and visible light images, and initial analysis of the atmospheric gas concentrations encountered along the flight. Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The CARVE measurements are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.",
         "license": "proprietary"
     },
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         "description": "This dataset contains videos captured by a camera mounted on the CARVE aircraft during airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776919988-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776919988-ORNL_CLOUD.html",
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         "description": "This data set consists of a single NetCDF file containing simulated three dimensional winds and CO2 concentrations centered on the Tapajos National Forest in Brazil in August 2001. Winds (u, v, and w  components) and CO2 concentrations were generated at 31 vertical levels at 1 km grid increment with the Brazilian version of Colorado State University (CSU) Regional Atmospheric Modeling System (RAMS). The simulation ran from the 1st through the 15th of August 2001, which was concurrent with the Santarem Mesoscale Campaign. The data file is in NetCDF format.Mesoscale circulations and atmospheric CO2 variations were investigated over a heterogeneous landscape of forests, pastures, and large rivers during the Santarem Mesoscale Campaign (SMC) of August 2001 (Silva Dias et al., 2004). The atmospheric CO2 concentration variations were simulated using the Colorado State University Regional Atmospheric Modeling System with four nested grids that included a 1-km finest grid centered on the Tapajos National Forest. Surface CO2 fluxes were prescribed using idealized diurnal cycles over forest and pasture that derived from flux tower observations; while surface water CO2 efflux was prescribed using a value suggested by in situ measurements in the Amazon region (Lu et al., 2005). Simulation ran from 1 August through 15 August 2001, which was concurrent with the SMC. Evaluation against flux tower observations and Belterra meteorological tower measurements showed that the model captured the observed 2-m temperatures and 10-m winds reasonably well. At 57 m the model reproduced the daytime CO2 concentration better than the nighttime concentration but missed the observed early morning CO2 maxima, in part because of the difficulties of simulating stable nocturnal boundary conditions and subgrid-scale intra-canopy processes. The results also suggested that the topography, the differences in roughness length between water and land, the shape juxtaposition of Amazon and Tapajos Rivers, and the resulting horizontal and vertical wind shears all facilitated the generation of local mesoscale circulations. Possible mechanisms producing a low-level convergence (LLC) line near the east bank of the Tapajos River were explored. Under strong trade wind conditions, mechanical forcing is more important than thermal forcing in LLC formation. Persistent clouds near the east side of the Tapajos River may have a significant impact on observed ecosystem carbon flux and should be taken into account if tower fluxes are to be generalized to a larger region. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780905665-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780905665-ORNL_CLOUD.html",
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         "description": "This data set contains meteorological data collected around the confluence of the Tapajos River with the Amazon River in the Amazon Basin near Santarem, Brazil, in July and August 2001. Boundary layer and upper air measurements were collected with an acoustic sounder-sodar instrument, pilot balloons with optical theodolites, and radiosondes. Radiosondes also measured pressure, temperature, and relative humidity in addition to wind speed and direction. Measurements were made from five local stations at varying frequencies. There are 41 comma-delimited data files with this data set. Supporting information provided with the data set as companion files include: Weather forecasts: Weather forecasts were used to determine the presence of favorable conditions for the balloon flights during the CIRSAN experiment, as well as to help decide the radiosonde launch frequency. The daily observed and forecast weather descriptions for the study period (Weather_forecasts_Santarem.txt) are included. Satellite images: All the satellite images during the CIRSAN period are provided. This is a compilation of images from various instruments and satellite platforms. (See readme_sat.txt). There are 42 images in .gif format. CPTEC Analysis files: The CIRSAN measurement data were used in the CPTEC Global Analysis modeling activity. Model output results for the Pacific and South American region are provided in GRIB format. (See readme_GPSA.txt) ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777837638-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777837638-ORNL_CLOUD.html",
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         "description": "This data set reports carbon and oxygen stable isotope ratios of atmospheric carbon dioxide (CO2) collected at several forest and pasture sites and in the free troposphere over Amazonia. There are three comma-delimited ASCII files with this data set.Atmospheric CO2 concentrations and isotope signatures were measured at ten different forest and pasture canopy sites across the states of Amazonas, Para, and Rondonia within the Brazilian Amazon between March 1999 and March 2004. Both daytime and nighttime profile samples were collected.Samples of CO2 in the troposphere were collected during aircraft flights over the Amazon/Tapajos Rivers, FLONA Tapajos, and pasture/agriculture areas during five days in May 2003 (wet season). Samples were analyzed for carbon and oxygen isotopes of atmospheric CO2. Flights ranged from low altitudes to above the diurnal tropospheric boundary layer.Measurements of carbon and oxygen stable isotope ratios of atmospheric carbon dioxide (CO2) are a powerful indicator of large-scale CO2 exchange on land across multiple spatial scales. Stable carbon isotope composition of leaf tissue and CO2 released by respiration (delta r) can be used as an estimate of changes in ecosystem isotopic discrimination that occur in response to seasonal and interannual changes in environmental conditions, and land-use change (forest-pasture conversion). Understanding of carbon dioxide stable isotope composition can play a central role in influencing our understanding of the extent to which terrestrial ecosystems are carbon sinks.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780153068-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780153068-ORNL_CLOUD.html",
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         "description": "This data set reports delta 13C/12C results for leaf tissues and atmospheric carbon dioxide (CO2), delta 15N/14N ratios for leaf tissue, and leaf carbon and nitrogen concentrations along a topographical gradient in old-growth forests in the ZF2 Reserve (km 34), Instituto Nacional de Pesquisas da Amazonia (INPA), near Manaus, Amazonas, Brazil. During the dry seasons of 2004 and 2006, leaves were sampled at various heights within the canopy and atmospheric air flask samples were also collected at various heights at three locations along this gradient. Also included are coincident meteorological, atmospheric CO2, and CO2 flux measurements from the plateau KM34 tower. There are 3 comma-delimited data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777815972-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777815972-ORNL_CLOUD.html",
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         "description": "This data set reports the measurement of stable carbon, nitrogen, and oxygen isotope ratios in organic material (plant, litter and soil samples) in forest canopy profiles and pasture (grasses and shrubs) as well as corresponding carbon and nitrogen tissue concentrations in a number of different sites across Brazil. The sampling design captured the temporal variation in rainfall over the course of several years. Carbon and nitrogen isotope ratios can act as a proxy for interpreting aspects of the carbon and nitrogen cycles in Amazonian rainforests. Data are in three comma-delimited ASCII files. ",
         "license": "proprietary"
     },
@@ -43610,7 +44364,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777836456-ORNL_CLOUD.html",
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         "description": "This data set reports on Leaf Area Index (LAI) and Specific Leaf Area (SLA) measurements collected from forest and pasture sites in or near the Tapajos National Forest (TNF), 80 km south of the city of Santarem, Para, Brazil. The collections were between October 1999 and June 2003 from tower sites accessed via the km 67 forest entrance. There are 2 comma-delimited ASCII data files with this data set, and 1 companion data file which provides site descriptions. ",
         "license": "proprietary"
     },
@@ -43623,7 +44377,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777837446-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777837446-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD02_Leaf_Level_Gas_Exchange_1010_1",
         "description": "This data set reports leaf gas flux and leaf properties from samples collected from trees, liana, pasture saplings, and pasture grass located at eight different sampling locations in the states of Para (south of Santarem) and Amazonas (near Manaus) from November 1999 through December 2003. Data are reported on photosynthesis measurements, CO2 response curves, light response curves, humidity response curves, and stomatal responses to variations of the leaf-to-air water vapor mole fraction deficit. Leaf weight, carbon and nitrogen concentrations as well as stable isotope signatures for 13C and 15N are reported for a subset of the samples. There is one comma-delimited ASCII data file with this data set. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780155872-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780155872-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD02_Leaf_Water_Potential_1100_1",
         "description": "Data are reported for leaf water potential of leaves of seven species of trees and lianas from the primary forest at the km 67 Tower Site, Tapajos National Forest, and measurements of five sapling tree species and the grass Brachiaria brizantha from a pasture site located near the km 77 Pasture Tower Site, approximately 10 km from the primary forest site. The research area is situated within the Tapajos National Forest reserve, south of the city of Santarem, Para, Brazil. Measurements were made quarterly between March 2000 and March 2001. There is one comma-delimited data file with this data set.",
         "license": "proprietary"
     },
@@ -43649,7 +44403,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777836092-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777836092-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD02_O_H_Isotopes_1008_1",
         "description": "This data set reports the oxygen isotope signatures of water extracted from plant tissue (xylem from the stems and leaf tissue) and of atmospheric water vapor from twelve different sites (including both pasture and forest) throughout the Amazon region of Brazil. Samples were collected approximately every 4 months between 1999 and 2003 with additional samples collected monthly between January and May of 2003. In 2004 the collection of water samples from plant tissue continued at two sites, though water vapor collections were discontinued, and measurements of deuterium signatures were added to the analyses. In addition, water vapor from the troposphere was collected during a series of aircraft flights over the Tapajos National Forest in May of 2003 and analyzed for oxygen isotopes using the same methodology. There is one comma-delimited ASCII data file with this data set.",
         "license": "proprietary"
     },
@@ -43662,7 +44416,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777751546-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777751546-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD03_Ceilometer_Km67_942_1",
         "description": "A Vaisala CT-25K ceilometer was installed at an old-growth forest site located at the km 67 Eddy Flux Tower site in the Tapajos National Forest, Para, Brazil, off Kilometer 67 of BR-163 south of Santarem in April 2001 and remained operational through December 2003, with reliable data being collected between May 2001 and June 2003.Annual, 2001 to 2003, 30-minute average cloud base and backscatter profile data and measurement statistics (sample count, variance, skewness, and kurtosis) are presented in 15 ASCII comma-delineated files. In addition, the cloud base values (m) and measurement statistics for the three reported cloud base levels have been consolidated in 3 annual comma-separated files.The ceilometer provides 15-second measurements of cloud base (three levels up to 7500 m), echo intensity, and a 30-m resolution backscatter profile. The ceilometer reports vertical visibility during periods when the sky is obscured but a cloud base is not detectable. The ceilometer was operational for a sufficient amount of time to examine wet-to-dry season variations in cloud cover fraction and cloud base height.",
         "license": "proprietary"
     },
@@ -43675,7 +44429,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777753467-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777753467-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD03_Mesoscale_Meteorology_944_1",
         "description": "A mesoscale network has been set up in the Santarem region of Para, Brazil. This network consists of eight meteorological stations named Belterra, Km 117 (Fazenda Sr. Davi), Mojui, Jamaraqua, Guarana, Embrapa (Cacoal Grande), Vila Franca and Sudam (Curua Una). Belterra and Km117 stations have been almost continuously collecting data since August, 1998, respectively. Mojui, Jamaraqua, and Guarana have been collecting data since July, 2000. Embrapa, Vila Franca and Sudam stations have been collecting data since 2002. Data are presented in 52 individual comma-separated ASCII files. Each file contains data from one calendar year for one site; both site and year are identified clearly in the data file name and all files follow the same header information and organizational structure. Measurements include air temperature and pressure, wind speed and direction, relative humidity, downward solar radiation, and at some stations soil temperature and moisture.",
         "license": "proprietary"
     },
@@ -43688,7 +44442,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777833070-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777833070-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD03_Pasture_Flux_962_1",
         "description": "Eddy correlation and micrometeorological measurements began in 2001 and continued through 2005 at the pasture site at km 77 on BR-163 just south of the city of Santarem, Para, Brazil. Measurements included turbulent fluxes (momentum, heat, water vapor, and CO2) using the eddy covariance (EC) approach. Other measurements included the CO2 profile, air temperature, humidity, wind speed profile, downward and upward solar and terrestrial radiation, downward and upward photosynthetically active radiation (PAR), atmospheric pressure, rainfall, soil temperature, soil moisture, and soil heat flux. Data are presented in 5 comma-separated ASCII value (csv) files each corresponding roughly to one calendar year. At the beginning of the measurements, in September 2000, the field was a pasture. In November 2001, the pasture was burned, plowed, and planted in upland (non-irrigated) rice. Land use practices during the study period were recorded and are included in a table in Section 5 of this guide.The EC system was composed of a 3D sonic anemometer (ATI 3D) and an infrared analyzer (LICOR 6262) installed on a 20m tower in the agricultural field. The methodology to calculate the flux is described in detail in Sakai et al. (2004) and a companion file is included that describes in detail the formulae used to calculate the eddy flux variables  (CD03_Pasture_Flux_Calculations.pdf).  ",
         "license": "proprietary"
     },
@@ -43701,7 +44455,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780896810-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780896810-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD03_Tethered_Balloon_1108_1",
         "description": "This data set contains measurements of nocturnal meteorological profiles collected from tethered balloon platforms during July 2001, October 2001, and November 2003. Measurements were made near the pasture/agricultural tower site at km 77 on BR-163 just south of the city of Santarem, and the near the Tapajos National Forest, km 83 tower site, Santarem, Para, Brazil.  Measurements collected include air temperature, wind speed and direction, and specific humidity. The 2003 measurements also included CO2 concentrations. Sites were near enough to allow comparison between sounding profiles and tower data. There are three comma-delimited ASCII files with this data set. Profiles were obtained from sunset until the first hours after sunrise. Each sounding provided information on temperature, humidity, horizontal wind magnitude and direction as the balloon went up and down. Typical soundings went up to 300 to 400 m. During most of the night, soundings were performed hourly. The balloon rose at a rate of 0.5 m per second in the first 100 m, and 2 m per second above it. The time between successive samplings was 10 s. Intensive periods of shallow, successive soundings were performed starting at dawn, to catch the early development of the convective boundary layer (CBL). These early morning soundings went up only to the capping inversion.",
         "license": "proprietary"
     },
@@ -43714,7 +44468,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777825408-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777825408-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD04_Biomass_990_1",
         "description": "This data set contains the results of a biometric tree survey of a 19.25 ha area adjacent to the eddy flux tower at the km 83 logged forest tower site in Tapajos National Forest, Para, Brazil. The survey was done in March 2000. All measurements reported here were taken before the logging began. Diameters of all trees > 35 cm DBH within the 19.25 ha survey area were recorded and trees with DBH between 10 and 35 cm DBH were recorded along three transects with a total area of 2.3 ha (Miller et al., 2004). These data were used to calculate net ecosystem productivity (NEP) and the role of this forest as a carbon source or sink. Biometric data are reported in one comma-delimited ASCII file.       ",
         "license": "proprietary"
     },
@@ -43727,7 +44481,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777776805-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777776805-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD04_CO2_Profiles_947_1",
         "description": "Atmospheric carbon dioxide profiles were measured at 12 levels up to 64 m at the km 83 logged tower site in Tapajos National Forest, Santarem, Para, Brazil. Data were collected over 3.5 years between June 2000-March 2004. An infra-red gas analyzer sequentially measured the concentration of CO2 at 12 heights (0.1, 0.35, 0.7, 1.4, 3, 6, 10.7, 20, 35, 40, 50, 64 m above the ground) on the tower every 48 minutes. The data, reported on a 30 minute interval, are provided in one single comma separated file.",
         "license": "proprietary"
     },
@@ -43740,7 +44494,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777824910-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777824910-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIiwidW1tIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIn0%3D/CD04_Dendrometry_989_1",
         "description": "A dendrometry study was conducted at the logged forest tower site, km 83 site, Tapajos National Forest, Para, Brazil over a period of 4 years following the implementation of a reduced impact logging management regime. Dendrometer bands were installed to measure diameter growth increments for 234 trees in an 18 ha plot adjacent to the eddy flux tower at the km 83 site. In addition to trees randomly selected for measurements within the plot prior to logging, a set of smaller diameter trees within or adjacent to gaps created during the logging treatment were added to the study in 2002. Selective logging is a major land use in the Amazon Basin. An accurate accounting of the effect of logging on regional carbon balances requires better information on the rates at which the logged forest recovers biomass. There is one comma-delimited data file with this data set.",
         "license": "proprietary"
     },
@@ -43753,7 +44507,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777827936-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777827936-ORNL_CLOUD.html",
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         "description": "Leaf area index was estimated in an 18 ha plot at the logged forest tower site, km 83, Tapajos National Forest, Para, Brazil. The plot was adjacent to the eddy flux tower at km 83, Tapajos National Forest, Para, Brazil.  Thirty  litter traps were placed at 25-m intervals along two east-west transects in the 18 ha block. Litter samples were collected biweekly from the traps and returned to the lab where they were sorted, air dried, and weighed. The leaf area of a subsample of air-dried leaves was determined using a computer scanner and image processing software. The subsample was then dried in an oven and the air-dried weights were corrected to oven-dried weight. The area of leaf litter collected during each sampling was calculated using the relationship between weight and area measured for the subsample (Goulden et al., 2004). There is one comma-delimited data file with this data set.",
         "license": "proprietary"
     },
@@ -43766,7 +44520,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780804841-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780804841-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIiwidW1tIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIn0%3D/CD04_LAI_Estimates_1103_1",
         "description": "This data set contains summary data for monthly leaf area index (LAI) and plant area index (PAI) at the km 83 Tower Site, in the Tapajos National Forest, Para, Brazil. LAI was estimated for hemispherical photographs of leaves collected between 2000 and 2003, using the histogram and gap-fraction analysis methods.There are two data files with this data set: one comma-delimited ASCII data file with this data set which contains the monthly summary LAI and PAI data, and one compressed (*.zip) file that contains hemispherical photo images (.bmp) for 2000-2001. The images include those taken pre-logging and post-logging at the measurement site for the purpose of comparing LAI. In addition, there is a companion file containing a program code developed for LAI analysis provided as an ASCII text file.",
         "license": "proprietary"
     },
@@ -43779,7 +44533,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742597-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742597-ORNL_CLOUD.html",
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         "description": "This data set reports the results of measurements of (1) leaf-level photosynthesis response curves for the effects of temperature, leaf age, warming, irradiation, and circadian rhythm and (2) leaf-level photorespiration rates at 30 and 37 degrees C. Measurements were made between June 2000 and February 2006 at the km 83 Logged Forest Tower site, the km 67 Primary Forest Tower site, and the control site at Seca Floresta, all in the Tapajos National Forest, Para, Brazil. There are 7 comma delimited ASCII data files with this data set.",
         "license": "proprietary"
     },
@@ -43792,7 +44546,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777827322-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777827322-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIiwidW1tIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIn0%3D/CD04_Leaf_Litter_991_1",
         "description": "Above-ground litter productivity was measured in a 18 ha plot adjacent to the eddy flux tower at the logged forest tower site, km 83, Tapajos National Forest, Para, Brazil. Thirty litter baskets distributed within the grid were visited bi-weekly (Goulden et al., 2004). Oven dry mass of leaves, wood, reproductive parts and miscellaneous components of the collected litter was determined for each collection. Collections covered a pre-harvest period (Sept 2000 - July 2001) and a post- harvest period (Aug 2001-Mar 2003).  There is one comma-delimited data file with this data set.",
         "license": "proprietary"
     },
@@ -43805,7 +44559,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777849678-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777849678-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIiwidW1tIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIn0%3D/CD04_Logging_Damage_1038_1",
         "description": "This data set contains the results of a survey of logging damage in a 18 ha plot (300 m N-S, 600 m E-W) east (upwind) of the eddy flux tower at km 83, Tapajos National Forest, Para, Brazil. Data collected include type of damage, snap height, and log dimensions, as well as calculated biomass of stems and canopy either damaged or removed in logging. There are two comma-delimited data files with this data set.       ",
         "license": "proprietary"
     },
@@ -43818,7 +44572,7 @@
         "bbox": "-54.97, -3.02, -54.97, -3.02",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777775195-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777775195-ORNL_CLOUD.html",
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         "description": "Tower flux measurements of carbon dioxide,water vapor, heat, and meteorological variables were obtained at the Tapajos National Forest, km 83 site, Santarem, Para, Brazil. For the period June 29, 2000 through March 11, 2004, 30-minute averaged and calculated quantities of fluxes of momentum, heat, water vapor, and carbon dioxide, storage of carbon dioxide in the air column, are reported. Data are reported in three comma separated files: (1) 30 minute-averages,  (2) the daily (24 hour) averages, and (3) the monthly (calendar) averages.The variables measured on the 67 m tower relate to meteorology, soil moisture, respiration, fluxes of momentum, heat, water vapor, and carbon dioxide, and were used to calculate storage of carbon dioxide, Net Ecosystem Exchange, and Gross Primary Productivity. Most of the variables have not been gap filled. However, CO2 flux and storage have been filled to avoid biases in Net Ecosystem Exchange; a fill index flag is included to indicate which data points were filled. Variables derived from the filled variables (respiration, NEE, GPP) are essentially filled also. Net ecosystem exchange has been filtered for calm nighttime periods.",
         "license": "proprietary"
     },
@@ -43831,7 +44585,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777815106-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777815106-ORNL_CLOUD.html",
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         "description": "This data set reports continuous high-resolution frequency-domain reflectometry measurements of soil moisture to 10 m depth and precipitation data near each of the two towers located at the km 83 tower site (logged forest site) in the Tapajos National Forest in the state of Para, Brazil. Measurements were made during 2002 and 2003. Soil moisture and precipitation data are provided in two comma-delimited ASCII files.The first tower was installed in an intact forest area at this site in June 2000 (the 'intact' tower) and instrumented for eddy flux and micrometerological measurements and operated 15 months prior to any logging in the area (Goulden et al., 2004; Miller et al., 2004; Rocha et al., 2004). In September 2001, the area adjacent to the tower was selectively logged (Bruno et al., 2006).The second tower (the 'gap tower' tower) was installed and operating in June 2002, 400 m east of the intact tower. The gap tower was installed in the middle of a 50 m x 50 m log landing.Soil moisture measurements were made in 10 m deep vertical pits (1 x 1 m2) approximately 20 m from the micrometerological tower sites in undisturbed forest patches. Reflectometers were inserted horizontally into shaft walls at 0.15, 0.30, 0.60, 1, 2, 3, 4, 6, 8, and 10 meters beneath the surface. These data were used to determine how soil moisture varies on diel, seasonal and multi-year timescales and to better understand the quantitative and mechanistic relationships between soil moisture and forest evapotranspiration.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777849870-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777849870-ORNL_CLOUD.html",
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         "description": "This data set reports on the flux of carbon dioxide from logged forest soils near the eddy flux tower at the km 83 site, Para, Brazil. The automated soil respiration measurements were collected using 15 chambers, installed August 2001 in primary forest. Data were collected between December 19, 2001 and March 1, 2002. There is one comma-delimited data file with this data set.       ",
         "license": "proprietary"
     },
@@ -43857,7 +44611,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2768934102-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768934102-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/CD04_Tower_Flux_Gap_978_1",
         "description": "This data set reports 30-minute values for above-canopy meteorology and fluxes of momentum, heat, and carbon dioxide, and within-canopy carbon dioxide and water vapor concentrations collected at 12 levels between 10 cm and 64 m at the tower located within a logging gap at km 83 Tower Site in the Tapajos National Forest, Para, Brazil. Data were collected over 1.5 years between June 3, 2002 and January 30, 2004. All of the data are contained in one comma separated file.Two towers are located at the km 83 site. The first tower was installed in an intact forest area at this site in June 2000 (the 'intact' tower). In September 2001, the area adjacent to the tower was selectively logged (Bruno et al., 2006). The second tower (the 'gap tower') was installed and operating in June 2002, 400 m east of the intact tower. The gap tower was installed in the middle of a 50 m x 50 m log landing.       ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781603191-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781603191-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIiwidW1tIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIn0%3D/CD05_Fuel_Loads_1233_1",
         "description": "This data set contains estimates of understory fuel loads (forest litter) at six locations near Paragominas in Northeastern Amazonia. Samples were collected from three different forest conditions: primary forest, logged forest, and burned forest. Volumes and weights are provided by size and condition class based on the planar transect method of estimating understory fuel loads (Brown 1971). Means and standard errors are reported from 3 transects in each forest x condition class. There is one comma-delimited data file (.csv) with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. ",
         "license": "proprietary"
     },
@@ -43883,7 +44637,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781551326-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781551326-ORNL_CLOUD.html",
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         "description": "This data set reports soil moisture expressed as volumetric water content (VWC), daily precipitation, air temperature, relative humidity, and dew point measurements conducted at the Seca Floresta site, km 67, Tapajos National Forest, Brazil. The measurements were part of the Rainfall Exclusion Experiment (REE) established to study the response of a humid Amazonian forest to severe drought.VWC was measured with continuous high-resolution frequency-domain reflectometry to 11-m depth in two 1-ha plots from 1999 to 2007. One plot was subjected to ~75 percent throughfall exclusion during the rainy season (exclusion) and another monitored under normal conditions (control). Daily precipitation was measured in the control plot and in a nearby clearing between 1999 and 2006 using wedge rain gauges. Air temperature, relative humidity, and dew point were measured along the vertical forest profile of the control and dry plots of the site between 2000 and 2003.There are three comma-delimited data files (.csv) with this data set.",
         "license": "proprietary"
     },
@@ -43896,7 +44650,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781602481-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781602481-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIiwidW1tIjoiW1wibGJhLWVjbyBjZC0wNCBjbzIgcHJvZmlsZXMsIGttIDgzIHRvd2VyIHNpdGUsIHRhcGFqb3MgbmF0aW9uYWwgZm9yZXN0XCIsXCJPUk5MX0NMT1VEXCIsXCJDRDA0X0NPMl9Qcm9maWxlc185NDdcIixcIjFcIiwyNzc3Nzc2ODA1LDJdIn0%3D/CD05_REE_Fuel_Sticks_Moisture_1232_1",
         "description": "This data set contains moisture content measurements for fuel sticks located in the forest understory of the rainfall exclusion experimental site, Tapajos National Forest, Para, Brazil. The mean and standard errors are reported for control and treatment plot measurements. The measurements were taken on various dates and times of day between 1998 and 2000 during the dry season.The rainfall exclusion treatment began in late January 2000 and continued through December 2004. About 60% of throughfall (equivalent to approximately half the rainfall) was diverted from a 1-hectare plot (i.e., dry) using plastic panels installed in the understory. The comparable 1-hectare control plot (i.e., wet) was unaltered. The goal of this experiment was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad et al., 2002). There is one comma-separated (.csv) data file with this data set.",
         "license": "proprietary"
     },
@@ -43909,7 +44663,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781600874-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781600874-ORNL_CLOUD.html",
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         "description": "This data set provides spatially extensive and temporally intensive surveys of the river biogeochemistry of the Ji-Parana River Basin in Western Amazonia, Rondonia, Brazil. The concentrations of major nutrient ions, dissolved organic and inorganic carbon, pH, temperature, dissolved oxygen, and conductivity were measured in Ji-Parana River and tributary samples at the defined seasonal or monthly intervals. Dominant landuse/landcover classes, slope, and soil cation exchange capacity are included for each of the extensive sampling locations derived from river basin and sub-basin characteristics.Water samples were collected from 1999 to 2003 along the main stem of the Ji-Parana River as well as from the major tributaries including the Urupa. Shapefiles with the boundaries of the major sub-basins of the study area as well as the location of the sample collection points are included for the intensive and extensive sampling campaigns as well as the Urupa River campaign. There are six comma-separated data files (.csv) and five compressed shapefiles (.zip) with this data set. ",
         "license": "proprietary"
     },
@@ -43922,7 +44676,7 @@
         "bbox": "-72.7, -11.76, -52.42, -0.14",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781384131-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781384131-ORNL_CLOUD.html",
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         "description": "This data set provides measurements of carbon dioxide flux rates (FCO2), gas transfer velocity (k), and partial pressures (pCO2) at 75 sites on rivers and streams of the Amazon River system in South America for the period beginning July 1, 2004, and ending January 23, 2007. Several fieldwork campaigns occurred between June 2004 and January 2007 in the Amazon River basin, with discharge conditions ranging from low to high flow. The sampled areas span the spectrum of chemical characteristics observed across the entire basin, including, for example, both low and high pH values and suspended sediment loads. There is one comma-delimited data file in this data set. ",
         "license": "proprietary"
     },
@@ -43935,7 +44689,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780934671-ORNL_CLOUD.html",
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         "description": "This data set includes measurements of standard geochemical variables, dissolved CO2, dissolved inorganic carbon (DIC), dissolved organic carbon (DOC), fine particulate organic carbon (FPOC), and coarse particulate organic carbon (CPOC) in samples taken from 60 Amazonian river locations across the Amazon Basin from 1991 to 2003 (Mayorga et al., 2005). The 14C and 13C isotopic composition of DIC was measured on samples collected between 1991 and 2003. The 14C composition of organic carbon fractions was measured on samples collected from 1995 through 1996. There are four comma-delimited data files with this data set. Note that site descriptions include a categorization of each site by topography according to the percentage of the drainage area above 1,000 m elevation (Mayorga et al., 2005). Only means of geochemical and carbon-fraction results are provided. Both individual 13C and 14C measurements and mean results are provided. ",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780118467-ORNL_CLOUD.html",
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         "description": "This data set provides high-resolution (~500 m) gridded land and stream drainage direction maps for the Amazon River basin, excluding the Rio Tocantins basin. These maps are the result of a new topography-independent analysis method (Mayorga et al., 2005) using the vector river network from the Digital Chart of the World (DCW, Danko, 1992) to create a high-resolution flow direction map. The data products include (1) a stream network coverage with stream order assigned to each reach; (2) the basin boundaries of the major tributaries to the Amazon mainstem; (3) the mouths; and (4) the source points of these tributaries.There are 7 ESRI ArcGIS shapefiles provided in compressed *.zip format and 4 GeoTiff image files with this data set. ",
         "license": "proprietary"
     },
@@ -43961,7 +44715,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780951173-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780951173-ORNL_CLOUD.html",
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         "description": "This data set provides measured and calculated variables describing the carbon pools in river waters, CO2 respired from the water and total amount of CO2 evaded, dissolved oxygen isotopes (delta 18O-O2), and concentration of bacterial cells in river water. Samples were collected from 10 white-water rivers, two clear-water streams (one each in Amazonas and Acre), and two black-water rivers in Amazonas from July to September 2005, which coincided with a severe drought in the western and southern regions of the Amazon Basin (Zeng et al. 2008). Eight of these sites were resampled during August through September 2006 of the following year (no drought).",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780118761-ORNL_CLOUD.html",
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         "description": "This data set provides a land use/land cover map of the Ji-Parana River Basin in the state of Rondonia, Brazil produced from the digital classification of eight Landsat 7-ETM+ scenes from 1999 acquired from the Tropical Rain Forest Information Center (TRFIC) at Michigan State University. Nine land cover classes covering the Ji-Parana Basin were identified. There is one GeoTiff  file with this data set.",
         "license": "proprietary"
     },
@@ -43987,7 +44741,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784832255-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784832255-ORNL_CLOUD.html",
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         "description": "This data set contains four land use/land cover maps (1986, 1992, 1996 and 2001) for the Ji-Parana River Basin, derived from the digital classification of 8 Landsat images obtained from The Tropical Rain Forest Information Center (TRFIC). ",
         "license": "proprietary"
     },
@@ -44000,7 +44754,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781393394-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781393394-ORNL_CLOUD.html",
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         "description": "This data set provides estimates of monthly carbon dioxide (CO2) flux from the Amazon mainstem rivers, tributary stream networks, and their associated varzeas (floodplains). CO2 flux was calculated using two aggregation approaches: for defined river basins (data file #2) and for defined river reaches (figure 2). Flux was calculated from (1) estimated surface water area by month for the Amazon mainstem rivers, associated varzeas, and tributary stream networks, (2) mean daily partial pressures of CO2 (pCO2) concentrations for the mainstem rivers, and (3) calculated mean pCO2 values for the varzea waters. Mean monthly discharge data for 11 mainstem rivers are also included. There are five comma-delimited data files with this data set. Amazon mainstem is a region covering the Amazon/Solimoes River mainstem from 70 degrees W to 54 degrees W. Data from the Japanese Earth Resources Satellite-1 (JERS-1) L-band synthetic aperture radar were used to estimate the areal coverage and inundation status of rivers and floodplains over 100 m in width and compiled into mosaics for periods of high and low  water.  For each mosaic, the study area was classified into either flooded or non-flooded areas. Data for the seasonal and spatial distributions of pCO2 within each hydrographic region were utilized from over 1,800 samples taken on 13 Carbon in the Amazon River Experiment (CAMREX) expeditions at different water stages throughout a 2,000 km reach of the central Amazon mainstem, tributary, and floodplain waters (Degens et al., 1991, Devol et al., 1995, Richey et al., 1988).",
         "license": "proprietary"
     },
@@ -44013,7 +44767,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836951-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836951-ORNL_CLOUD.html",
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         "description": "This data set contains physical, hydrologic, political, demographic, and societal maps for the Ji-Parana River Basin, in the state of Rondonia, Brazil. These data were used as base information in subsequent investigations of land use/land cover, biogeochemistry, soils, and water balance processes (Ballester et al., 2003). This data set includes a Digital Elevation Model (DEM), river networks and morphometric characteristics of the region (derived from the DEM), and a number of social and demographic vector sets (roads as of 2001, county borders, population change from 1970-2000, and settlement projects). The DEM is provided in GeoTIFF format. Other files are provided as shapefiles. ",
         "license": "proprietary"
     },
@@ -44026,7 +44780,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780119012-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780119012-ORNL_CLOUD.html",
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         "description": "This data set provides a digital map of soil orders for the Ji-Parana River Basin, in the state of Rondonia, Brazil (Western Amazonia). Soil orders were manually digitized from a 1:500,000 map from EMBRAPA originally published in 1983. Oxisols and Ultisols are the predominant soil types in the basin, encompassing 47% and 24% of the total drainage area, respectively. Entisols cover 14%, Alfisols 13% and Eptisols 2% of the basin (Ballester et al., 2003). One data file is provided in ESRI ArcGIS Shapefile format compressed into a single zip file (*.zip).",
         "license": "proprietary"
     },
@@ -44039,7 +44793,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780962370-ORNL_CLOUD.html",
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         "description": "This data set provides simulated minimum, average, and maximum monthly rainfall, potential evapotranspiration, water deficit, and water surplus values for the Ji-Parana River basin, Rondonia, Brazil. The Thornthwaite-Mather climatological model integrated into a Geographic Information System (GIS) was used to derive the data by utilizing Advanced Very High Resolution Radar (AVHRR) images for temperatures, rainfall amounts from gauges within and around the basin, soil profiles, and land cover maps as model inputs. The monthly water balance for the Ji-Parana river basin is simulated from February 1995 through December 1996 (Victoria et al., 2007). Data are also provided from the Ji-Parana subbasin stations for total basin rainfall, basin discharge and basin evapotranspiration. This data was used to check the results of the water balance model. There are 2 comma-delimited data files with this data set.",
         "license": "proprietary"
     },
@@ -44052,7 +44806,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777335210-ORNL_CLOUD.html",
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         "description": "The LBA-Ecology CD-07 team collected and processed GOES-8 imager data over the LBA region to characterize the incoming radiation and precipitation rates at regional scales. This data set contains surface down-welling solar radiation, photosynthetically active radiation (PAR) and infrared radiation, as well as precipitation rates at 8x8-km and half-hourly resolutions. The data cover the time periods: 01Mar99-30Apr99 and 01Sep99-31Oct99. The data missing from the temporal series was filled using interpolation to create a continuous sequence of data for carbon modeling studies.",
         "license": "proprietary"
     },
@@ -44065,7 +44819,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777409227-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777409227-ORNL_CLOUD.html",
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         "description": "This data sets contains data on coarse wood density, moisture content, respiration rates and decomposition rate constants in csv format from Manaus Brazil measured from 1/1/1996 through 12/31/1997. The data for respiration reports CO2 flux from coarse litter (trunks and large branches > 10 cm diameter) that was studied in central Amazon forests (Chambers et al. 2001). The respiration study took place during the transition from wet to dry season of 1997 (June-August),and sampling from the decomposition study (Chambers et al. 2000) was carried out during both the dry and wet seasons of 1996-97 (see below). Respiration rates varied over almost two orders of magnitude (1.003-0.014 micro g C g-1 C min-1, n=61), and were significantly correlated with wood density (r2adj = 0.42), and moisture content (r2adj = 0.39). Additional samples taken from a nearby pasture indicated that wood moisture content was the most important factor controlling respiration rates across sites (r2adj = 0.65). Based on average coarse litter wood density and moisture content, the mean long-term carbon loss rate due to respiration was estimated to be 0.13 yr-1 (range of 95% prediction interval (PI) = 0.11-0.15 yr-1).Decomposition rate constants are reported as mass loss fraction per year, for boles of 155 large dead trees (> 10 cm diameter) in central Amazon forests (Chambers et al. 2000). The measurements were carried out over a 2-year period (1996-1997) on permanent plots monitored by the Biological Dynamics of Forest Fragments Project (BDFFP) of the Smithsonian Institution (Lovejoy and Bierregaard 1990; Rankin-De Merona et al. 1992) and the Biomass and Nutrient Experiment (BIONTE) of the National Institute for Amazon Research (Instituto Nacional de Pesquisas da Amazonia-INPA). Mortality data from 21 hectares of permanent inventory plots, monitored for 10-15 years, were used to select dead trees for sampling. A single csv formatted data file includes dates when trees died, their diameter and breast height (DBH, i.e., at 1.3 m) and taxonomic information.Measured rate constants varied by over 1.5 orders of magnitude (0.015-0.67 /yr), averaged 0.19 /yr with predicted error averaging 0.026 /yr. Wood density and bole diameter were significantly and inversely correlated with rate constants. A tree of average biomass was predicted to decompose at 0.17 /yr.Understanding how tropical forest carbon balance will respond to global change requires knowledge of individual heterotrophic and autotrophic respiratory sources, together with factors that control respiratory variability. These data, along with estimates of ecosystem leaf, live wood and soil respiration, were used to estimate total carbon balance as described in Chambers et al (2004).",
         "license": "proprietary"
     },
@@ -44078,7 +44832,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777845734-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777845734-ORNL_CLOUD.html",
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         "description": "This data set contains carbon isotope signatures from soil organic matter collected from the following sites: the forests of the ZF-2 INPA reserve approximately 80 km north of the city of Manaus, Amazon; the Tapajos National Forest approximately 83 km south of the city of Santarem, Para; and the Fazenda Vitoria, a ranch near the city of Paragominas, Para. Samples from the Fazenda Vitoria were from degraded and managed pasture sites as well as mature and secondary forests. In addition,carbon isotope signatures from roots sorted by size class, hand-picked from soil pits in the Flona Tapajos and Fazenda Vitoria, are included, as are carbon isotope signatures from soil gases from samples collected at the Fazenda Vitoria. There are 4 ASCII data files with this data set.",
         "license": "proprietary"
     },
@@ -44091,7 +44845,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2762266449-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2762266449-ORNL_CLOUD.html",
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         "description": "Leaf, live wood (tree stem), and soil respiration were measured along with additional environmental factors over a 1-yr period in a Central Amazon terra firme forest and are provided in this data set as three comma delimited data files. Investigations were carried out at an INPA reserve located along the ZF2 road at km 34 [LBA 34] on two 20 x 2500 m permanent forest inventory plots referred to as the Jacaranda plots (-2.6091 degrees S, -60.2093 degrees W). These long and narrow plots capture ecosystem variation associated with the undulating local topography. Leaf respiration measurements were also made at the tower located at ZF-2 road (km 14 [LBA 14]. Leaf respiration was measured during July and August 2001, woody respiration in August 2000 and June 2001, and soil respiration between July 2000 and June 2001 at 4 to 6-wk intervals.Understanding how tropical forest carbon balance will respond to global change requires knowledge of individual heterotrophic and autotrophic respiratory sources, together with factors that control respiratory variability. These data were used to estimate ecosystem leaf, live wood and soil respiration with detailed information provided in Chambers et al. (2004).",
         "license": "proprietary"
     },
@@ -44104,7 +44858,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781611232-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781611232-ORNL_CLOUD.html",
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         "description": "This data set provides measurements for carbon (C), nitrogen (N), leaf area index (LAI), and carbon isotope ratio data (13C and 14C) of leaves sampled at the Manaus ZF2 Jacaranda transect area, Amazonas, Brazil, in 2001. Leaf tips and the petioles from the youngest and oldest leaves from a sampled branch were analyzed for nine different species. There is one  comma-delimited data file (.csv) with this data set.",
         "license": "proprietary"
     },
@@ -44117,7 +44871,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777829923-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777829923-ORNL_CLOUD.html",
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         "description": "This data set reports the ages and growth rates of trees determined by radiocarbon dating (14C) in three Amazonia forests. Tree samples were collected from permanent research plots at ZF2 km 34, Manaus, Amazonas, the Catuaba Experimental Farm, Acre, and the km 83 tower site (logged forest site) in the Tapajos National Forest, Para, between 2001-2003.Samples from 97 individual trees were either tree cores (Manaus and Acre) or a combination of tree cores and slabs cut from stems as part of the logging in the Tapajos National Forest (Para). Radiocarbon dating(14C)was used to determine the age and the mean diameter growth increment of samples from individual trees in various diameter size classes.  These measurements can be used to verify and extend short-term diameter increment measurements done with dendrometers and to constrain models of tree demography.There is one comma-separated ASCII  data file with this data set.",
         "license": "proprietary"
     },
@@ -44130,7 +44884,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777829322-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777829322-ORNL_CLOUD.html",
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         "description": "This data set reports the ages and growth rates of trees as determined by radiocarbon dating (14C), selected from a logging operation near the city of Itacoatiara, about 250 km east of Manaus, Brazil in 1997. Samples were collected from forty-four trees from 15 species with a basal diameter greater than 100 cm and prepared for radiocarbon dating by Accelerator Mass Spectrometry (AMS) at Lawrence Livermore National Laboratory. There is one comma-separated ASCII data file with this data set. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781590146-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781590146-ORNL_CLOUD.html",
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         "description": "This data set provides diameter at breast height (DBH) measurements made of trees in a dense terra-firme tropical moist forest at the ZF-2 Experimental Station, 90 km north of Manaus, Brazil. DBH was measured over two transects (East to West and North to South) which were established in 1996 by the Jacaranda Project (agreement between the National Institute for Research in the Amazon (INPA) and the Japan International Cooperation Agency, JICA). For each tree, a metal dendrometer band was fixed to the trunk and growth in circumference was measured monthly with digital calipers. The transects measured 20-m x 2500-m, and were stratified by plateau, slope, and baixio (lowland areas near small streams). Topography location, distance along the transect, height at which the band was installed, local tree name, and field notes are also provided in the data files. Measurements were taken between June 1999 and December 2001.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777408505-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777408505-ORNL_CLOUD.html",
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         "description": "This data set includes in one data file the common names, base diameters, and calculated tree masses for almost 3,000 trees on a 5 hectare plot (20 x 2,500 m) located in the Ducke Reserve near Manaus, Brazil in the central Amazon. Measurements were taken during October-December 1999. All diameter measurements were taken at 1.3 meters in height (DBH), or above the buttresses or other stem anomalies.  Forest structure characteristics such as biomass density, stem density, diameter class distribution, and taxonomic information at the family and perhaps genus level, can be derived from these data.",
         "license": "proprietary"
     },
@@ -44169,7 +44923,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780808395-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780808395-ORNL_CLOUD.html",
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         "description": "This data set reports the results of soil and vegetation surveys at four distinct areas within the Tapajos National Forest (TNF), 50 to 100 km south of Santarem, Para, Brazil, in November 1999. At 13 individual sites across the four areas, all located in primary forest, core soil samples at 10, 30 and 50 cm depths were collected and analyzed for dry mass, bulk density, texture, percentage carbon (C), percentage organic matter, and percentage nitrogen (N). At these 13 sites, vegetation was characterized for 250 m long by 10 m wide transects. Biomass was estimated for all stems over 10 cm DBH from allometric relationships for species, measured height, canopy dimension, and diameter. LAI was measured along the transect at 26 points with a LICOR LAI-2000. Canopy foliage samples were collected with a shotgun at dawn and leaf water potential was determined with a pressure chamber. Samples of foliage, wood, bark, fine roots, and litter were analyzed for %N, % C, delta 13C, and delta 15N. There are five comma-delimited ASCII data files with this data set.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777344455-ORNL_CLOUD.html",
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         "description": "This data sets contains a single text file which reports biometry measurements of the old-growth upland forest at the Parao Western (Santarem) - km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil. Measurements extend from July 1999 through March 2005.To monitor tree woody increment, metal dendrometer bands (Figure 1) were placed on a sub-sample of 1000 trees in December 1999. The data set contains estimates of tree diameter at breast height (cm) based on caliper measurements made approximately every six weeks. The first column of data refers to the tree identification number. For a more detailed description of the biometry study refer to Rice et al. 2004.The data file contains a time series of  DBH (cm) values from July 1999 through March 2005.",
         "license": "proprietary"
     },
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         "description": "Eddy fluxes of CO2 and H2O are measured at two levels (58m and 47m) using tower-mounted closed-path Licor 6262 analyzers and Campbell CSAT3 sonic anemometers.  A third Licor gas analyzer measures (a) the CO2/H2O concentration profile (1 of 8 levels every 2 minutes) and (b) the instantaneous integrated canopy storage of CO2/H2O, using a design pulling air simultaneously through 8 inlets (once every 20 minutes). Comprehensive meteorological data (air temperature, PAR, net radiation, etc) are also included.  Pressure and temperature of the Licor cells are controlled to 500 torr and 48 degrees C.  Eddy licors are automatically zeroed every 2 hours and the profile licor every 20 minutes.  All Licors are automatically calibrated with span gases (at 325, 400, and 475 ppm) every 6 hours.",
         "license": "proprietary"
     },
@@ -44208,7 +44962,7 @@
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         "description": "This data set reports the concentrations of carbon monoxide (CO) and carbon dioxide (CO2), wind direction, wind speed, and air temperature measured at the Maxaranguape Atmospheric Observatory in northeast Brazil, January 4, 2003 - December 27, 2006. The data are 30-minute averages. The concentrations observed at Maxaranguape are representative of upstream atmospheric boundary conditions for the Amazon basin and could be used in conjunction with Santarem data and other data sets to estimate regional budgets for these gasses (Kirchhoff et al., 2003). There is one comma-delimited ASCII text file with this data set. ",
         "license": "proprietary"
     },
@@ -44221,7 +44975,7 @@
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         "description": "This data set contains a single comma separated text file of half-hourly average CO mixing ratios measured from 2001/04/18 to 2003/08/29 in the old-growth upland forest at the Para Western (Santarem) - km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil.CO concentrations were measured in air drawn from above the canopy top of tower (approx. 64 meters) using a TEI 48CTL instrument modified for increased stability and sensitivity. The sensor was frequently zeroed by passing ambient air over a CO oxidation catalyst. The span was checked 4 times daily by sampling calibration gases at 100 and 500 ppb. Time in the file is given in UTC (decimal date) at the start of each half hour interval.Associated meteorological parameters, CO2 concentrations and micrometerological fluxes are available in LBA-ECO CD-10 CO2 and H2O Eddy Flux Data at km 67 Tower Site, Tapajos National Forest.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777345983-ORNL_CLOUD.html",
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         "description": "This data sets reports properties of fallen course woody debris in an old-growth upland forest at the Para Western (Santarem) - km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil. Measurements extend from April 2001 through July 2001.Standing and Fallen coarse woody debris (CWD), or necromass were measured in a series of ecological plots at the km 67 eddy flux tower site in the Tapajos National Forest (Figure 2). The data set includes different size classes of debris measured in different plot sizes. Size classes were: 2-10cm (in 64 m2 subplots) , 10-30cm (in 1600 m2 subplots), 30cm (in 38400 m2 subplots), standing (in entire 50m by 1000m transects).",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777347015-ORNL_CLOUD.html",
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         "description": "This data sets reports diameter at breast height (DBH) measurements in the old-growth upland forest at the Para Western (Santarem) - km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil. Measurements were made periodically from July 1999 through August 2005.Trees with DBH >35cm were measured for ~2600 trees in four 5ha transects. Trees >10cm were measured in a smaller area (Rice et al., 2004). Measurements were made in 1999, 2001, and 2005. Trees are identified by local common names.  A cross reference to scientific names is provided as a companion file.Coarse woody debris and litter samples and measurements were collected same area. See related data sets.",
         "license": "proprietary"
     },
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         "description": "This data set reports eddy flux measurements of CO2 and H2O exchange and associated meteorological measurements at the Para Western (Santarem) - km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil. Measurements extend from January 2002 through January 2006.Eddy fluxes of CO2 and H2O were measured at two levels (58m and 47m) using tower-mounted closed-path Licor 6262 gas analyzers and Campbell CSAT3 sonic anemometers (Figure 1). Eddy-flux measurements were made at a sampling  rate of 8 Hz and averaged over a 1 hour interval.. A comprehensive set of meteorological parameters (air temperature, pressure, PAR, net radiation, precipitation, etc) were also measured.Co-located measurements included a third Licor gas analyzer that measured (a) the CO2 and H2O concentration profiles at 8 levels in and above the canopy (1 level every 2 minutes) and (b) the instantaneous integrated canopy storage of CO2 and H2O, using a design that pulled air simultaneously through all 8 inlets (once every 20 minutes). See related data sets.With the permission of the author, Hutyra, L.R. 2007. Carbon and water exchange in Amazonian rainforests. Ph.D. Thesis, Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts., is included as a companion file.",
         "license": "proprietary"
     },
@@ -44273,7 +45027,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777359356-ORNL_CLOUD.html",
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         "description": "This data set contains a single text file which reports vertical profiles of H2O vapor concentrations measured at the Para Western (Santarem) - km 67, Primary Forest Tower Site (Figure 1). This site is in the Tapajos National Forest located in north central Brazil. Measurements extend from January 2002 through January 2006.H2O concentrations were measured at 8 levels on the tower (62.2, 50, 39.4, 28.7, 19.6, 10.4, and 0.91 m). Sample air was drawn at 1000 sccm (standard cubic centimeters per minute) through 8 profile inlets in sequence (2 minutes at each level) and then a mixed air sample was simultaneously drawn from all 8 levels to obtain a total column integral (once every 20 minutes) and analyzed with an infrared gas analyzer (IRGA, LI-6262, Licor, Lincoln, NE). Data were averaged over a 1 hour interval. Calibration for H2O used two independent calibrations for the IRGA concentration measurements: (a) the nighttime relationship between ambient temperature measurements and sonic temperature measurements; (b) a chilled mirror dew point hygrometer mounted on the tower. See Appendix A of  Hutyra (2007) for addition details about calibration methods. Co-located measurements included eddy fluxes of CO2 and H2O were measured at two levels (58m and 47m) using tower-mounted closed-path Licor 6262 gas analyzers and Campbell CSAT3 sonic anemometers. And a comprehensive set of meteorological parameters (air temperature, pressure, PAR, net radiation, precipitation, etc) were also measured. With the permission of the author, Hutyra, L.R. 2007. Carbon and water exchange in Amazonian rainforests. Ph.D. Thesis, Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts., is included as a companion file.",
         "license": "proprietary"
     },
@@ -44286,7 +45040,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777363039-ORNL_CLOUD.html",
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         "description": "This data set contains a single text file which reports litter type and mass in the old-growth upland forest at the Para Western (Santarem) - km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil. Measurements extend from July 2000 through June 2005.Litter collection began in July 2000 using 40 circular, mesh screen traps (0.43 m diameter, 0.156 m2) randomly located throughout the 19.75-ha tree-survey area (Rice et al., 2004). Approximately every 14 days, litter was collected, sorted, oven dried at 60 degrees C, and weighed. The litterfall from each trap was sorted into (1) leaves, (2) fruits and flowers, (3) wood , <2 cm diameter, and (4) miscellaneous. Data values reported are the mean and standard error of the 40 mass measurements of each of the litter components and the combined total, that have been converted to the reporting units of Mg/ha/yr.",
         "license": "proprietary"
     },
@@ -44299,7 +45053,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784834712-ORNL_CLOUD.html",
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         "description": "This data set contains a single text file which reports temperature measurements at the Para Western (Santarem) - km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil. Measurements extend from January 2002 through January 2006 (Figure 1).Air temperature measurements were collected at 8 levels on the tower (61.9, 49.8, 39.1, 28.4, 18.3, 10.1, 2.8, and 0.6 m). Temperature measurements were made with aspirated thermistors (Met One 076B-4 aspiration with YSI 44032 thermistors) and averaged over a 1 hour interval.Co-located measurements included a Licor gas analyzer that measured (a) the CO2 and H2O concentration profiles at 8 levels in and above the canopy (1 level every 2 minutes), (b) the instantaneous integrated canopy storage of CO2 and H2O, using a design that pulled air simultaneously through all 8 inlets (once every 20 minutes), and (c) eddy fluxes of CO2 and H2O were measured at two levels (58m and 47m) using tower-mounted closed-path Licor 6262 gas analyzers and Campbell CSAT3 sonic anemometers. A comprehensive set of meteorological parameters (air pressure, PAR, net radiation, precipitation, etc) were also measured. See related data sets.With the permission of the author, Hutyra, L.R. 2007. Carbon and water exchange in Amazonian rainforests. Ph.D. Thesis, Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts., is included as a companion file.",
         "license": "proprietary"
     },
@@ -44312,7 +45066,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780919500-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780919500-ORNL_CLOUD.html",
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         "description": "This data set reports the results of vegetation field surveys that measured tree height and diameter at breast height (DBH) in defined size classes at three study sites -- Santarem, Para; Paragominas, Para; and Alo Brasil, Mato Grosso, Brazil, from 2001-2003.At each site, plots and transects within plots, were defined that represented different types of logging and fire treatments, each including one primary forest plot used as a control. Along each transect all trees with more than 30 cm DBH were measured. Dead standing trees were also measured and classified in three classes of decomposition. A 4 m wide transect was used to measure individuals between 10 and 30 cm DBH. Six small subplots were set along each transect to measure regeneration individuals from 2-10 cm DBH and 0-2 cm DBH. DBH is also provided for stumps found in each of the logged forest plots. There are ten comma-delimited data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781416738-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781416738-ORNL_CLOUD.html",
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         "description": "This data set provides mean leaf area index (LAI), dendrometry band measurements, and litterfall mass from samples collected at the km 67 research site, Topajos National Forest, Para, Brazil. Litterfall collections were from January 23, 2004 through December 3, 2004, dendrometer measurements were monthly between December 2003 and December 2004, and LAI measurements were collected from January 26, 2004 through November 3, 2004.All measurements were taken at the km 67 site in the Tapajos National Forest. This site is situated in an area of Amazonian primary tropical forest belonging to the municipality of Belterra, Para, Brazil. The forest is mostly evergreen with a few deciduous species. The canopy is characterized by large emergent trees up to 55-m tall, with a closed canopy at approximately 40-m; there are few indications of recent anthropogenic disturbance other than hunting trails. Measurement plots (50) were established along 4 transects at the site and within each plot, 5 subplots were established. The longest transect (25 m x 500 m) was the location of 20 (25 m x 25 m) plots. The other 3 transects (25 m x 250 m) contain 10 plots per transect. Note that the assignment of plots to transects is not provided.There are four comma-delimited data files (.csv) with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781621763-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781621763-ORNL_CLOUD.html",
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         "description": "This data set provides measurements for diameter at breast height (DBH), tree height, distance from tree stems to the furthest canopy element, and a species survey of secondary forests in Para and Rondonia, Brazil, from 2002-2003. The forest areas were defined as Type A and Type B stands. Measurements were made in the overstory, understory, and midstory of each stand. Type A stands were sampled intensively, with the goal of providing high-fidelity spatial information about the 3-dimensional structure of the stand. These stands were 60 x 60-m (0.36-ha) areas divided into 10 x 10-m grids of uniform clearing and abandonment history and were identifiable from Landsat images. Type B stands were sampled extensively, with the goal of providing unbiased estimates of biomass, along with some information about the vertical structure of the stand and of spatial variability. These stands were polygons of uniform clearing and afforestation history based on multitemporal Landsat imagery, and varied in size and shape. The Landsat files provide classified land cover for each scene and can be used as a time series to evaluate land cover change over time. Each Landsat file is a geolocated land cover map based on 30-m Landsat data. NOTE: There were additional files which could not be archived due to file problems. Data Quality Statement: The Data Center has determined that this data set has missing or incomplete data, metadata, or other documentation resulting in diminished usability of this product. Known Problems: Some unresolved issues remain where data values are inconsistent with the variable descriptions provided with the data set. The site identification and plot identification values are not consistently used in all three data files. The variables are not adequately described.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2761779464-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761779464-ORNL_CLOUD.html",
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         "description": "This dataset is a compilation of carbon and energy eddy covariance flux, meteorology, radiation, canopy temperature, humidity, CO2 profiles and soil moisture and temperature profile data that were collected at nine towers across the Brazilian Amazon. Independent investigators provided the data from a variety of flux tower projects over the period 1999 thru 2006. This is Version 2 of the tower data compilation, where the data have been harmonized across projects, additional quality control checks were performed, and have been aggregated to hourly, daily, 16-day, and monthly timesteps. This integrated dataset is intended to facilitate integrative studies and data-model synthesis from a common reference point.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781567429-ORNL_CLOUD.umm_json",
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         "description": "This data set provides gap-filled meteorological observations from nine Brazilian flux towers for periods between 1999 and 2006. The measurements include: air temperature, specific humidity, module of wind speed, downward long wave and shortwave radiation at the surface, surface pressure, precipitation, and carbon dioxide (CO2). These atmospheric data are provided at 1 hour time-steps. These data were used as the standardized forcing data input for the LBA Model Intercomparison Project (LBA-MIP).The LBA-MIP goal was to gain comparative understanding of ecosystem models that simulate energy, water, and CO2 fluxes over the LBA area. The task was to subject all the models to the same forcing and experimental protocol, and to compare the outputs. The protocol is provided as a companion file, lba_mip_protocol4.0_20100309.pdf.The source meteorological observations for the forcing data, from the nine Brazilian flux towers, were recently published as Saleska, et al. (2013). See related data sets. These source data were gap-filled according to the LBA-MIP standard protocol. Note that the CAX forest tower was not included in the MIP. See the companion file driver_data.pdf for additional gap-filling information.There are 34 data products with this data set and they are provided in both text (.txt) and ALMA-compliant NetCDF (.nc) formats. The files have been compressed into nine *.zip files according to site.",
         "license": "proprietary"
     },
@@ -44377,7 +45131,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751481862-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751481862-ORNL_CLOUD.html",
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         "description": "This data set contains 20 multispectral surface reflectance images collected by the EO-1 satellite Hyperion sensor at 30-m resolution and covering the entire Amazon Basin for 2002 - 2005. All images were converted to GeoTiff format for distribution. The respective ENVI *.hdr files are included as companion files and contain image projection and band information.The selected multispectral images were processed using ENVI software as described in Chambers et al. (2009). Bands with uncalibrated wavelengths and those with low spectral response were removed leaving a spectral subset of generally 196 bands (some images have fewer). A cloud mask was developed using 2-d scatter plots of variable reflectance bands to highlight clouds as regions of interest (ROIs), allowing clouds and cloud edges to be masked. A de-streaking algorithm was then applied to the image to reduce variance in balance between the vertical columns.  Apparent surface reflectance was calculated for this balanced image using the atmospheric correction algorithm ACORN in 1.5pb mode (AIG-LLC, Boulder, CO).  The images (18 of the 20) were georeferenced using the corresponding Advanced Land Imager (ALI) satellite images.",
         "license": "proprietary"
     },
@@ -44390,7 +45144,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781566910-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781566910-ORNL_CLOUD.html",
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         "description": "This data set provides the results of fractional land cover analysis for nonphotosynthetic vegetation (NPV) from two Landsat images of Manaus, Brazil, for October 14, 2004, and for July 29, 2005. Both images are from Landsat 5, path 231, row 62. The Manauas area experienced a squall line with intense downbursts from January 16-18, 2005, that resulted in widespread blowdown and tree mortality. The pre- and post-disturbance Landsat images were obtained and processed using spectral mixture analysis (SMA) in order to investigate forest disturbance and tree mortatility resulting from the downburst. SMA was based on scene-derived end-members of green vegetation (GV, photosynthetically active vegetation), NPV ( wood, dead vegetation, and surface litter), soil, and shade obtained using a pixel purity index (PPI) algorithm (Negron-Juarez et al., 2010). Changes in NPV due to disturbance were calculated by subtracting the 2004 NPV image from the 2005 NPV image. This NPV difference image is provided. There are three image files (.tif) with this data set: The two Landsat images that were georectified and converted to reflectance values and the NPV difference image. DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: Four additional images were needed to make this data set complete but are unavailable. Specifically, the two images resulting from SMA as applied to the Landsat images collected on the 14th of October, 2004 and the 29th of July, 2005 to determine per-pixel fractional abundance of GV, NPV (wood, dead vegetation, and surface litter), soil, and shade and the 2004 NPV and 2005 NPV images that were used to derive the NPV changes image (which we do provide) (Negron-Juarez, et al., 2010).",
         "license": "proprietary"
     },
@@ -44403,7 +45157,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2768946825-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768946825-ORNL_CLOUD.html",
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         "description": "This data set provides South American Land Data Assimilation System (SALDAS) forcing data including atmospheric fields necessary for land surface modeling for South America which are derived by combining modeled and observation based sources. The forcing data cover the entire continent of South America at 0.125 degree resolution and are built around the model-calculated values of air temperature, wind speed and specific humidity at two meters, surface pressure, downward shortwave and longwave surface radiation, and precipitation from the South American Regional Reanalysis (SARR). These SARR data (Aravequia et al. 2007), which were released in 2006 by INPE/CPTEC, are a medium-term, dynamically consistent, high-resolution (0.125 degree), high-frequency, atmospheric dataset covering South America. The forcing data are available at a 3-hourly time step for a 5-year period from 2000 to 2004. There are 60 monthly *.zip files with each zipped file containing ~240 3-hourly time step data files for that particular month in NetCDF format. Each zipped file is approximately one GB in size.",
         "license": "proprietary"
     },
@@ -44416,7 +45170,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781386619-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781386619-ORNL_CLOUD.html",
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         "description": "This data set provides tree age, forest formation, and  land cover classification maps, and estimates of landscape-level above-ground live woody biomass (AGLB) for secondary forests in Rondonia, Brazil. The Threshold Age Mapping Algorithm (TAMA) was applied to a densely spaced time series of Landsat images (1975 to 2003) to derive forest type and age classification maps. The AGLB of the secondary forest was estimated by combining the forest classification map with coincident biomass estimates from the Geoscience Laser Altimeter System (GLAS). There are five raster images and three comma-delimited data files with this data set.",
         "license": "proprietary"
     },
@@ -47380,7 +48134,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2759030200-ORNL_CLOUD.html",
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         "description": "This data set contains monthly temperature, precipitation, sea-level pressure, and station-pressure data for thousands of meteorological stations worldwide. The database was compiled from pre-existing national, regional, and global collections of data as part of the Global Historical Climatology Network (GHCN) project, the goal of which is to produce, maintain, and make available a comprehensive global surface baseline climate data set for monitoring climate and detecting climate change. It contains data from roughly 6000 temperature stations, 7500 precipitation stations, 1800 sea level pressure stations, and 1800 station pressure stations. Each station has at least 10 years of data, 40% have more than 50 years of data. Spatial coverage is good over most of the globe, particularly for the United States and Europe. Data gaps are evident over the Amazon rainforest, the Sahara Desert, Greenland, and Antarctica.",
         "license": "proprietary"
     },
@@ -48190,6 +48944,19 @@
         "description": "CERES_EBAF_Edition4.1 is the Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) and surface monthly means data in netCDF format Edition 4.1 data product. Data was collected using the CERES Scanner instruments on both the Terra and Aqua platforms. Data collection for this product is ongoing.    CERES_EBAF_Edition4.1 data are monthly and climatological averages of TOA clear-sky (spatially complete) fluxes and all-sky fluxes, where the TOA net flux is constrained to the ocean heat storage. It also provides computed monthly mean surface radiative fluxes consistent with the CERES EBAF-TOA product and some basic cloud properties derived from MODIS. Cloud Radiative Effects are provided at both the TOA and surface as determined using a cloud-free profile in the Fu-Liou Radiative Transfer Model (RTM). Observed fluxes are obtained using cloud properties derived from narrow-band imagers onboard both EOS Terra and Aqua satellites, as well as geostationary satellites, to fully model the diurnal cycle of clouds. The computations are also based on meteorological assimilation data from the Goddard Earth Observing System (GEOS) Versions 5.4.1 models. Unlike other CERES Level 3 clear-sky regional data sets that contain clear-sky data gaps, the clear-sky fluxes in the EBAF-TOA product are regionally complete. The EBAF-TOA product is the CERES project's best estimate of the fluxes based on all available satellite platforms and input data.     CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CERES_EBAF_Edition4.2",
+        "title": "CERES Energy Balanced and Filled (EBAF) TOA and Surface Monthly means data in netCDF Edition 4.2",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3152928881-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3152928881-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=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_EBAF_Edition4.2",
+        "description": "CERES_EBAF_Edition4.2 is the Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) and surface monthly means data in netCDF format Edition 4.2 data product. Data was collected using the CERES Scanner instruments on the Terra, Aqua, and NOAA-20 platforms for various periods. Data collection for this product is ongoing.    CERES_EBAF_Edition4.2 data are monthly and climatological averages of TOA clear-sky (spatially complete) fluxes and all-sky fluxes, where the TOA net flux is constrained to the ocean heat storage. It also provides computed monthly mean surface radiative fluxes consistent with the CERES EBAF-TOA product and some basic cloud properties derived from colocated imagers. Cloud Radiative Effects are provided at both the TOA and surface as determined using a cloud-free profile in the Fu-Liou Radiative Transfer Model (RTM). Observed fluxes are obtained using cloud properties derived from narrow-band imagers onboard both EOS Terra and Aqua satellites and NOAA-20, as well as geostationary satellites, to fully model the diurnal cycle of clouds. The computations are also based on meteorological assimilation data from the Goddard Earth Observing System (GEOS) Versions 5.4.1 models. Unlike other CERES Level 3 clear-sky regional data sets that contain clear-sky data gaps, the clear-sky fluxes in the EBAF-TOA product are regionally complete. The EBAF-TOA product is the CERES project's best estimate of the fluxes based on all available satellite platforms and input data.     CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CERES_EBAF_Edition4.2",
         "title": "CERES Energy Balanced and Filled (EBAF) TOA and Surface Monthly means data in netCDF Edition 4.2",
@@ -49958,6 +50725,19 @@
         "description": "CER_SSF_Aqua-FM3-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) Top-of-the-Atmosphere (TOA)/Surface Fluxes, Clouds and Aerosols Aqua-Flight Model 3 (FM3) Edition4A data product, which was collected using the CERES-FM3 instrument on the Aqua platform. Data collection for this product is in progress.    CERES SSF TOA/Surface Fluxes are data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Visible/Infrared Scanner (VIRS) on the Tropical Measuring Mission (TRMM), Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, and Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi- National Polar-orbiting Partnership (NPP). Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to TOA fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the complete set of footprints on the CERES ES-8 product.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SSF_Aqua-FM3-MODIS_Edition4A",
+        "title": "CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols Aqua-FM3 Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-07-03",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724240405-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724240405-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=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_SSF_Aqua-FM3-MODIS_Edition4A",
+        "description": "CER_SSF_Aqua-FM3-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) Top-of-the-Atmosphere (TOA)/Surface Fluxes, Clouds and Aerosols Aqua-Flight Model 3 (FM3) Edition4A data product, which was collected using the CERES-FM3 instrument on the Aqua platform. Data collection for this product is in progress.    CERES SSF TOA/Surface Fluxes are data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Visible/Infrared Scanner (VIRS) on the Tropical Measuring Mission (TRMM), Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, and Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi- National Polar-orbiting Partnership (NPP). Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to TOA fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the complete set of footprints on the CERES ES-8 product.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SSF_Aqua-FM4-MODIS_Edition4A",
         "title": "CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols Aqua-FM4 Edition4A",
@@ -50036,6 +50816,32 @@
         "description": "CER_SSF_Terra-FM2-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) Top-of-the-Atmosphere (TOA)/Surface Fluxes, Clouds and Aerosols Terra- Flight Model 2 (FM2) Edition 4A data product, which was collected using the CERES-FM2 instrument on the Terra platform. Data collection for this product is in progress.    CERES SSF TOA/Surface Fluxes are data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Visible/Infrared Scanner (VIRS) on the Tropical Measuring Mission (TRMM), Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, and Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi- National Polar-orbiting Partnership (NPP). Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to TOA fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the full set of footprints on the CERES ES-8 product.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-1Hour-Aqua-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Aqua Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-07-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055396-LARC_CLOUD.umm_json",
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+        "description": "CER_SYN1deg-1Hour_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Aqua Edition 4A data product. Data was collected using several instruments on multiple platforms including: CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 3 (FM3), FM4, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Aqua. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by GMAO. The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on an one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
+    {
+        "id": "CER_SYN1deg-1Hour_Terra-Aqua-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-Aqua Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-07-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181054645-LARC_CLOUD.umm_json",
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+        "description": "CER_SYN1deg-1Hour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM3, FM4, CERES Scanner, and MODIS on Aqua. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-1Hour_Terra-Aqua-MODIS_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-Aqua Edition4A",
@@ -50049,6 +50855,32 @@
         "description": "CER_SYN1deg-1Hour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM3, FM4, CERES Scanner, and MODIS on Aqua. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-1Hour_Terra-Aqua-NOAA20_Edition4B",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-Aqua-NOAA20 Edition4B",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181056140-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-1Hour_Terra-Aqua-NOAA20-MODIS_Edition4B is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua-NOAA20 Edition4B data product. Data was collected using several instruments on multiple platforms including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; CERES FM3, CERES FM4, CERES Scanner, and MODIS on Aqua; and FM6, and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
+    {
+        "id": "CER_SYN1deg-1Hour_Terra-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "2002-06-30",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181054710-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181054710-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-1Hour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites, CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by GMAO. The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-1Hour_Terra-MODIS_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra Edition4A",
@@ -50062,6 +50894,19 @@
         "description": "CER_SYN1deg-1Hour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites, CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by GMAO. The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-1Hour_Terra-NOAA20_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-NOAA20 Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2022-04-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055815-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055815-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGFzIHAtM2IgYWlyY3JhZnQgYWF0czE0IGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIkFSQ1RBU19BaXJjcmFmdFJlbW90ZVNlbnNpbmdfUDNCX0FBVFMxNF9EYXRhXCIsXCIxXCIsMzIyODk3MTI3OSwxXSIsInVtbSI6IltcImFyY3RhcyBwLTNiIGFpcmNyYWZ0IGFhdHMxNCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJBUkNUQVNfQWlyY3JhZnRSZW1vdGVTZW5zaW5nX1AzQl9BQVRTMTRfRGF0YVwiLFwiMVwiLDMyMjg5NzEyNzksMV0ifQ%3D%3D/CER_SYN1deg-1Hour_Terra-NOAA20_Edition4A",
+        "description": "CER_SYN1deg-1Hour_Terra-NOAA20-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM6, and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-1Hour_Terra-NOAA20_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-NOAA20 Edition4A",
@@ -50075,6 +50920,19 @@
         "description": "CER_SYN1deg-1Hour_Terra-NOAA20-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM6, and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-1Hour_Terra-NPP_Edition1A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols One-Hourly Terra-NPP Edition1A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2012-02-01",
+        "end_date": "2017-11-30",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181054734-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181054734-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=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_SYN1deg-1Hour_Terra-NPP_Edition1A",
+        "description": "CER_SYN1deg-1Hour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds and Aerosols One-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition 1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on SUOMI-NPP. Data collection for this product is complete.     The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the long-wave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-1Hour_Terra-NPP_Edition1A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols One-Hourly Terra-NPP Edition1A",
@@ -50101,6 +50959,19 @@
         "description": "CER_SYN1deg-3Hour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra-Aqua Edition4A data product. The instruments and platforms used to collect this data include Imaging Radiometers on the Geostationary Satellites platform; CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and CERES FM3, CERES FM4, CERES Scanner, and MODIS on Aqua. Data collection for this product is in progress.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-3Hour_Terra-Aqua-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra-Aqua Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-07-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181054744-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181054744-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-3Hour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra-Aqua Edition4A data product. The instruments and platforms used to collect this data include Imaging Radiometers on the Geostationary Satellites platform; CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and CERES FM3, CERES FM4, CERES Scanner, and MODIS on Aqua. Data collection for this product is in progress.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-3Hour_Terra-MODIS_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra Edition4A",
@@ -50114,6 +50985,32 @@
         "description": "CER_SYN1deg-3Hour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra Edition4A data product, which was collected using Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-3Hour_Terra-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "2002-06-30",
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+        "description": "CER_SYN1deg-3Hour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra Edition4A data product, which was collected using Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
+    {
+        "id": "CER_SYN1deg-3Hour_Terra-NPP_Edition1A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Three-Hourly Terra-NPP Edition1A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2012-02-01",
+        "end_date": "2017-11-30",
+        "bbox": "180, -90, -180, 90",
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+        "description": "CER_SYN1deg-3Hour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Three-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using several instruments on multiple platforms including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on NPP. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg)products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-3Hour_Terra-NPP_Edition1A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Three-Hourly Terra-NPP Edition1A",
@@ -50127,6 +51024,19 @@
         "description": "CER_SYN1deg-3Hour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Three-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using several instruments on multiple platforms including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on NPP. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg)products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-Day_Aqua-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Aqua Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-07-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055437-LARC_CLOUD.umm_json",
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+        "license": "proprietary"
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         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-Aqua Edition4A",
@@ -50140,6 +51050,19 @@
         "description": "CER_SYN1deg-Day_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra; and FM3, FM4 CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Aqua. Data collection for this product is ongoing.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
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+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-Aqua Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
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+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-Day_Terra-MODIS_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra Edition4A",
@@ -50153,6 +51076,32 @@
         "description": "CER_SYN1deg-Day_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) and Surface Fluxes, Clouds and Aerosols Daily Terra Edition4A data product. Data was collected using CERES Imaging Radiometers on Geostationary Satellites as well as CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra. Data collection for this product is complete.     Note: It is highly recommended to use this product (CER_SYN1deg-Day_Terra-MODIS_Edition4A) in conjunction with CER_SYN1deg-Day_Terra-Aqua-MODIS_Edition4A when doing science-quality research.     The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-Day_Terra-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
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+        "license": "proprietary"
+    },
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+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NOAA20 Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2022-04-01",
+        "end_date": "",
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+        "description": "CER_SYN1deg-Day_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NOAA20 Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on the Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM6 and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident imager-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Daily means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-Day_Terra-NOAA20_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NOAA20 Edition4A",
@@ -50166,6 +51115,19 @@
         "description": "CER_SYN1deg-Day_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NOAA20 Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on the Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM6 and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident imager-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Daily means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-Day_Terra-NPP_Edition1A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NPP Edition1A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2012-02-01",
+        "end_date": "2017-11-30",
+        "bbox": "180, -90, -180, 90",
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+        "description": "CER_SYN1deg-Day_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) and Surface Fluxes, Clouds and Aerosols Daily Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on Suomi-NPP. Data collection for this product is complete.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a daily temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-Day_Terra-NPP_Edition1A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NPP Edition1A",
@@ -50179,6 +51141,32 @@
         "description": "CER_SYN1deg-Day_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) and Surface Fluxes, Clouds and Aerosols Daily Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on Suomi-NPP. Data collection for this product is complete.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a daily temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-MHour_Aqua-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Aqua Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-07-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055566-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-MHour_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Aqua Edition4A data product. Data was collected using the CERES Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 3 (FM3), FM4, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Aqua platform. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
+    {
+        "id": "CER_SYN1deg-MHour_Terra-Aqua-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-07-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055291-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055291-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-MHour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM3, FM4 CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Aqua. Data collection for this product is ongoing.     The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a monthly-averaged one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-MHour_Terra-Aqua-MODIS_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A",
@@ -50192,6 +51180,32 @@
         "description": "CER_SYN1deg-MHour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM3, FM4 CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Aqua. Data collection for this product is ongoing.     The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a monthly-averaged one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-MHour_Terra-Aqua-NOAA20_Edition4B",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua-NOAA20 Edition4B",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181056152-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-MHour_Terra-Aqua-NOAA20_Edition4B is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua-NOAA20 Edition4B data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; CERES FM3, CERES FM4, CERES Scanner, and MODIS on Aqua; and FM6 CERES Scanner, and VIIRS on NOAA-20. Data collection for this product is ongoing.     The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
+    {
+        "id": "CER_SYN1deg-MHour_Terra-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "2002-06-30",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055329-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055329-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-MHour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra Edition4A data product. Data was collected using the CERES Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra platform. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique is used to ensure GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-MHour_Terra-MODIS_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra Edition4A",
@@ -50205,6 +51219,19 @@
         "description": "CER_SYN1deg-MHour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra Edition4A data product. Data was collected using the CERES Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra platform. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique is used to ensure GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-MHour_Terra-NOAA20_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-NOAA20 Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2022-04-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181056058-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181056058-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-MHour_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM6 CERES Scanner, and VIIRS on NOAA-20. Data collection for this product is ongoing.     The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-MHour_Terra-NOAA20_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-NOAA20 Edition4A",
@@ -50231,6 +51258,32 @@
         "description": "CER_SYN1deg-MHour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on Suomi National Polar-orbiting Partnership (NPP). Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the long-wave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-MHour_Terra-NPP_Edition1A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-NPP Edition1A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2012-02-01",
+        "end_date": "2017-11-30",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055346-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055346-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-MHour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on Suomi National Polar-orbiting Partnership (NPP). Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the long-wave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
+    {
+        "id": "CER_SYN1deg-Month_Aqua-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere, and Surface Fluxes Clouds and Aerosols Monthly Aqua Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-07-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055686-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055686-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-Month_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes Clouds and Aerosols Monthly Aqua Edition4A data product, which was collected using Imaging Radiometers on Geostationary Satellites platform as well as CERES Flight Model 1 (FM3), CERES FM4, and MODIS on Aqua. Data collection for this product is complete.    CERES Synoptic (SYN)1 degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-Month_Terra-Aqua-MODIS_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-Aqua Edition4A",
@@ -50244,6 +51297,32 @@
         "description": "CER_SYN1deg-Month_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols Monthly Terra-Aqua Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM3, FM4, and MODIS on Aqua. Data collection for this product is ongoing.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-Month_Terra-Aqua-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-Aqua Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-07-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055353-LARC_CLOUD.umm_json",
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+        "description": "CER_SYN1deg-Month_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols Monthly Terra-Aqua Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM3, FM4, and MODIS on Aqua. Data collection for this product is ongoing.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
+    {
+        "id": "CER_SYN1deg-Month_Terra-MODIS_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere, and Surface Fluxes Clouds and Aerosols Monthly Terra Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "2002-06-30",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055368-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055368-LARC_CLOUD.html",
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+        "description": "CER_SYN1deg-Month_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes Clouds and Aerosols Monthly Terra Edition4A data product, which was collected using Imaging Radiometers on Geostationary Satellites platform as well as CERES Flight Model 1 (FM1), CERES FM2, and MODIS on Terra. Data collection for this product is complete.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-Month_Terra-MODIS_Edition4A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere, and Surface Fluxes Clouds and Aerosols Monthly Terra Edition4A",
@@ -50270,6 +51349,32 @@
         "description": "CER_SYN1deg-Month_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols Monthly Terra-NOAA20 Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on the Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM6 and VIIRS on NOAA-20. Data collection for this product is ongoing.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, VIIRS, and geostationary satellite cloud properties along with atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a critical Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "CER_SYN1deg-Month_Terra-NOAA20_Edition4A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-NOAA20 Edition4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2022-04-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181055958-LARC_CLOUD.umm_json",
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+        "description": "CER_SYN1deg-Month_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols Monthly Terra-NOAA20 Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on the Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM6 and VIIRS on NOAA-20. Data collection for this product is ongoing.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, VIIRS, and geostationary satellite cloud properties along with atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1\u00b0-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a critical Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
+    {
+        "id": "CER_SYN1deg-Month_Terra-NPP_Edition1A",
+        "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-NPP Edition1A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2012-02-01",
+        "end_date": "2017-11-30",
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+        "description": "CER_SYN1deg-Month_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on NPP. Data collection for this product is complete.     The CERES SYN1deg products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly temporal resolution on 1\u00b0-regional, zonal, and global spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5\u00b0x5 \u00b0 latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1\u00b0 equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.",
+        "license": "proprietary"
+    },
     {
         "id": "CER_SYN1deg-Month_Terra-NPP_Edition1A",
         "title": "CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-NPP Edition1A",
@@ -50318,7 +51423,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236223020-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY2Fub3B5IGhlaWdodCBhbmQgYmlvbWFzcyBmcm9tIGxpZGFyIHN1cnZleXMgYXQgbGEgc2VsdmEsIGNvc3RhIHJpY2EsIDE5OTggYW5kIDIwMDVcIixcIk9STkxfQ0xPVURcIixcIkxhU2VsdmFfTGFuZF9Vc2VfMTMxMlwiLFwiMVwiLDI3NzMyNTgwODgsMl0iLCJ1bW0iOiJbXCJjYW5vcHkgaGVpZ2h0IGFuZCBiaW9tYXNzIGZyb20gbGlkYXIgc3VydmV5cyBhdCBsYSBzZWx2YSwgY29zdGEgcmljYSwgMTk5OCBhbmQgMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiTGFTZWx2YV9MYW5kX1VzZV8xMzEyXCIsXCIxXCIsMjc3MzI1ODA4OCwyXSJ9/CH4_Aircraft_STILT_footprints_1300_1",
         "description": "This data set provides the results of (1) year-round measurements of methane (CH4) flux along with soil and air temperatures at five eddy covariance towers at sites located in the Alaskan Arctic tundra from June 2013 to December 2014 and (2) airborne CH4 and ozone (O3) measurements collected during Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) flight campaigns for years 2012 through 2014. The included site-level flux data at half-hourly intervals were calculated following standard eddy covariance data processing procedures. Also reported are daily mean methane flux, soil temperature with depth, and air temperature for each tower site. Also identified for each flux tower site were the \"zero curtain\" periods of extended cold when soil temperatures were poised near 0 degrees C. The reported CARVE airborne CH4 and O3 data were aggregated horizontally at 5 km intervals. Measurement heights are reported. These aircraft positions were treated as receptors in a Stochastic Time-Inverted Lagrangian Transport (STILT) model coupled with meteorology fields from the polar variant of the Weather and Research Forecasting model (WRF), in order to model the land surface influence on the aircraft-observed methane concentrations. The summed land surface influence on the aircraft data at each position is reported. For each airborne measurement, 2D surface influence fields (i.e. footprints) at two different spatial resolutions were derived using the WRF-STILT simulations. These gridded footprints are provided as netCDF formatted files. Regional C-CH4 fluxes were calculated from the CARVE CH4 data and footprints for the period 2012-2014 and are also included with this data set. Acknowledgements: Data collection efforts were funded by NSF ARCSS project \"Methane Loss From Arctic\" (ARCSS #1204263; http://www.nsf.gov/awardsearch/showAward?AWD_ID=1204263) and by NASA's Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE).",
         "license": "proprietary"
     },
@@ -50331,7 +51436,7 @@
         "bbox": "-163.82, 60.9, -162.07, 61.68",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2992461082-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2992461082-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBzb2lsIGNvMiBlZmZsdXggYW5kIHByb3BlcnRpZXMsIHNpdGUgdmVnZXRhdGlvbiBtZWFzdXJlbWVudHMsIG1leGljbywgMjAxMS0yMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU29pbF9DTzJfRWZmbHV4XzEyOThcIixcIjFcIiwyMzQzMTA1NzgyLDVdIiwidW1tIjoiW1wiY21zOiBzb2lsIGNvMiBlZmZsdXggYW5kIHByb3BlcnRpZXMsIHNpdGUgdmVnZXRhdGlvbiBtZWFzdXJlbWVudHMsIG1leGljbywgMjAxMS0yMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU29pbF9DTzJfRWZmbHV4XzEyOThcIixcIjFcIiwyMzQzMTA1NzgyLDVdIn0%3D/CH4_CO2_WaterBodies_YK_Delta_2178_1",
         "description": "This dataset provides estimates of carbon dioxide (CO2) and methane (CH4) diffusive fluxes from waterbodies, and watershed landcover data for the central-interior of the Yukon-Kuskokwim Delta (YK delta), Alaska. Dissolved concentrations of methane and carbon dioxide were predicted using an integrated terrestrial-aquatic approach to scale observations based on landscape and waterbody remote sensing drivers. The observations include ~300 samples of surface water dissolved gases collected in July 2016-2019 from the central region of the YK Delta, Alaska. A machine learning model was used to generate estimated fluxes.  Model inputs include Sentinel-2 MSI with derived normalized difference vegetation index (NDVI) and normalized difference water index (NDWI), an Arctic digital elevation model (DEM) with derived slope and flow accumulation, Sentinel-1 C-band July and December VV and VH composites, and a landcover map. Waterbody size, shape, and reflectance were determined using object-based image analysis in Google Earth Engine. Landscape-level input data were averaged in non-nested sub-basins calculated using the System for Automated Geoscientific Analyses (SAGA) \"channel network\" algorithm at three threshold sizes. Cross validation was used to tune and select variables for gradient boosting models. The trained gradient boosting models were then used to predict dissolved methane and carbon dioxide in all waterbodies (~17,000) in the region. These aquatic concentrations were converted to fluxes using an average gas transfer velocity from observations (0.33 m/d). The data are provided in GeoTIFF and shapefile formats.",
         "license": "proprietary"
     },
@@ -50344,7 +51449,7 @@
         "bbox": "-147.85, 64.92, -147.82, 64.92",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402530-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402530-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IGwxIHMtMCBwb2xhcmltZXRyaWMgZGF0YSBmcm9tIHVhdnNhciBwLWJhbmQgc2FyLCBhbGFza2EgYW5kIGNhbmFkYSwgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQUJvVkVfTDFfUF9TQVJfMTgwMFwiLFwiMVwiLDIxNDM0MDE3NzMsN10iLCJ1bW0iOiJbXCJhYm92ZTogbDEgcy0wIHBvbGFyaW1ldHJpYyBkYXRhIGZyb20gdWF2c2FyIHAtYmFuZCBzYXIsIGFsYXNrYSBhbmQgY2FuYWRhLCAyMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBQm9WRV9MMV9QX1NBUl8xODAwXCIsXCIxXCIsMjE0MzQwMTc3Myw3XSJ9/CH4_Flux_BigTrail_Goldstream_1778_1",
         "description": "This dataset provides diffusive methane (CH4) fluxes collected from two thermokarst lakes in the Goldstream Valley, north of Fairbanks in interior Alaska. Fluxes were collected from the littoral zones, adjacent shoreline, and upland vegetation. The data were collected during July 2018. Measurements were made using a mobile, closed chamber technique where chamber air was recirculated through a Los Gatos Research (LGR) Ultraportable Cavity Ring-down Spectrometer. The chamber was large enough to enclose emergent and upland vegetation up to 1.5 m in height, allowing plant-facilitated fluxes to be measured. These in situ measurements were used to verify spatial patterns in methane flux (i.e., exponential decay with distance from water) detected by NASA's Next Generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG).",
         "license": "proprietary"
     },
@@ -54495,6 +55600,19 @@
         "description": "Un. Washington Convair-580 Aerosol, radiation, chemical, and meteorological data products for the Chesapeake Lighthouse and Aircraft Measurements for Satellites (CLAMS) field campaign in ASCII format",
         "license": "proprietary"
     },
+    {
+        "id": "CLARREO_SIMTEST_L1A_SIM_b001",
+        "title": "CLARREO SIMTEST L1A, version 001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-01-01",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2951840052-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2951840052-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=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_SIMTEST_L1A_SIM_b001",
+        "description": "The Climate Absolute Radiance and Refractivity Observatory (CLARREO) Pathfinder (CPF) Level-1A and 1B data comprise high-accuracy, spectrally-resolved Earth-reflected solar radiation measurements obtained by the HyperSpectral Imager for Climate Science (HySICS) aboard the International Space Station (ISS). HySICS is a push-broom spectrometer with a spectral range of 350-2300 nm and a spectral sampling of 3 nm. It captures a nadir swath of 70 km with a spatial resolution of 0.5 km. The Level-1 data include spectrally-resolved top-of-atmosphere radiances and reflectances (in separate files), along with measurement uncertainties, solar and viewing geometry information, geolocation, and quality assurance parameters associated with each pixel-level measurement.    HySICS uses the Sun as the primary source for in-orbit calibration, achieving an impressive SI-traceable radiometric uncertainty of 0.3-0.6% (k=1). The Laboratory for Atmospheric and Space Physics (LASP) at the University of Colorado will provide the CPF Level-1 data. Due to its superior radiometric accuracy, the CPF Level-1A data will be utilized to demonstrate a state-of-the-art inter-calibration methodology using CERES and VIIRS as target inter-calibration instruments. The CPF Science and Data Management teams at NASA Langley Research Center will produce the CPF Level-4 inter-calibration data products by merging the CPF Level-1A data with CERES SSF and VIIRS Level-1B and Level-2 data over inter-calibration footprints. ",
+        "license": "proprietary"
+    },
     {
         "id": "CLDCR_L2_VIIRS_SNPP_1",
         "title": "VIIRS/SNPP Cirrus Reflectance 6-min L2 Swath 750m",
@@ -55271,7 +56389,7 @@
         "bbox": "108, -5, 120, 8",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2396977103-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2396977103-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIiwidW1tIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIn0%3D/CMS_AGB_Landcover_Indonesia_1645_1",
         "description": "This dataset provides estimates of aboveground biomass, percent canopy cover, mean canopy height, landcover, and forest degradation index products for forests in Kalimantan, Indonesia (Island of Borneo) representative of conditions in late 2014. Data were combined from several sources including field sampling, airborne lidar, satellite measurements, a forest-type land cover map, and integrated into a random forest algorithm to produce these estimates.",
         "license": "proprietary"
     },
@@ -55284,7 +56402,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2398119727-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2398119727-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIiwidW1tIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIn0%3D/CMS_AGB_NW_USA_1719_1",
         "description": "This dataset provides annual maps of aboveground biomass (AGB, Mg/ha) for forests in Washington, Oregon, Idaho, and western Montana, USA, for the years 2000-2016, at a spatial resolution of 30 meters. Tree measurements were summarized with the Fire and Fuels Extension of the Forest Vegetation Simulator (FFE-FVS) to estimate AGB in field plots contributed by stakeholders, then lidar was used to predict plot-level AGB using the Random Forests machine learning algorithm. The machine learning outputs were used to predict AGB from Landsat time series imagery processed through LandTrendr, climate metrics generated from 30-year climate normals, and topographic metrics generated from a 30-m Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM). The non-forested pixels were masked using the PALSAR 2009 forest/nonforest mask.",
         "license": "proprietary"
     },
@@ -55349,7 +56467,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389685421-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389685421-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBob3VybHkgY2FyYm9uIGRpb3hpZGUgZXN0aW1hdGVkIHVzaW5nIHRoZSB3cmYgbW9kZWwsIG5vcnRoIGFtZXJpY2EsIDIwMTBcIixcIk9STkxfQ0xPVURcIixcIkNNU19XUkZfTW9kZWxfUHJvZHVjdHNfMTMzOFwiLFwiMVwiLDIzOTA0MDgyNzMsN10iLCJ1bW0iOiJbXCJjbXM6IGhvdXJseSBjYXJib24gZGlveGlkZSBlc3RpbWF0ZWQgdXNpbmcgdGhlIHdyZiBtb2RlbCwgbm9ydGggYW1lcmljYSwgMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiQ01TX1dSRl9Nb2RlbF9Qcm9kdWN0c18xMzM4XCIsXCIxXCIsMjM5MDQwODI3Myw3XSJ9/CMS_CO2_Fluxes_TBMO_1315_1",
         "description": "This data set provides global, gridded, model-derived net ecosystem exchange (NEE) of CO2 flux between the land and atmosphere at 3-hourly time steps over seven years (2004-2010) at three different spatial resolutions: 0.5 x 0.5 degree, 2.0 x 2.5 degrees, and 4.0 x 5.0 degrees (latitude/longitude). The 3-hourly data were derived from monthly NEE outputs of 15 global land surface models and four ensemble products in the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP).",
         "license": "proprietary"
     },
@@ -55362,7 +56480,7 @@
         "bbox": "-130.23, 21.59, -64.13, 52.86",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389289428-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389289428-ORNL_CLOUD.html",
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         "description": "This dataset provides annual estimates of six carbon pools, including forest aboveground live biomass, belowground biomass, aboveground dead biomass, belowground dead biomass, litter, and soil organic matter, across the conterminous United States (CONUS) for 2005, 2010, 2015, 2016, and 2017. Carbon stocks were estimated using a modified MaxEnt model. Measurements of pixel-specific site conditions from remote sensing data were combined with field inventory data from the U.S. Forest Service Forest Inventory and Analysis (FIA). Remote sensing data inputs included Thematic Mapper on Landsat 5, Operational Land Imager on Landsat 8, Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua, microwave radar measurements from Phased Array type L-band Synthetic Aperture Radar (PALSAR) on Advanced Land Observation Satellite (ALOS) and PALSAR-2 ALOS-2, airborne imagery from National Agriculture Imagery Program (NAIP), and the digital elevation model from the Shuttle Radar Topography Mission (SRTM). Data from satellite and airborne sources were co-registered on a common 100 m (1 ha) grid.",
         "license": "proprietary"
     },
@@ -55440,7 +56558,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389100132-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389100132-ORNL_CLOUD.html",
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         "description": "This data set provides a 38-year, 1-km resolution inventory of annual on-road CO2 emissions for the conterminous United States based on roadway-level vehicle traffic data and state-specific emissions factors for multiple vehicle types on urban and rural roads as compiled in the Database of Road Transportation Emissions (DARTE). CO2 emissions from the on-road transportation sector are provided annually for 1980-2017 as a continuous surface at a spatial resolution of 1 km.",
         "license": "proprietary"
     },
@@ -55453,7 +56571,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2343140450-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343140450-ORNL_CLOUD.html",
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         "description": "This data set provides daily average observations for evapotranspiration (measured and gap-filled), precipitation, net radiation, soil water content, air temperature, vapor pressure deficit, and normalized vegetation index (NDVI) from two water-limited shrubland sites for years 2008-2010. Both sites are located in the northwest part of Mexico and are part of the MexFlux network.",
         "license": "proprietary"
     },
@@ -55466,7 +56584,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389022246-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389022246-ORNL_CLOUD.html",
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         "description": "This dataset provides maps of the distribution of ecosystem functional types (EFTs) and the interannual variability of EFTs at 0.05 degree resolution across the conterminous United States (CONUS) for 2001 to 2014. EFTs are groupings of ecosystems based on their similar ecosystem functioning that are used to represent the spatial patterns and temporal variability of key ecosystem functional traits without prior knowledge of vegetation type or canopy architecture. Sixty-four EFTs were derived from the metrics of a 2001-2014 time-series of satellite images of the Enhanced Vegetation Index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) product MOD13C2. EFT diversity was calculated as the modal (most repeated) EFT and interannual variability was calculated as the number of unique EFTs for each pixel.",
         "license": "proprietary"
     },
@@ -55479,7 +56597,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2391444072-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2391444072-ORNL_CLOUD.html",
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         "description": "This dataset provides daily fire weather indices for interior Alaska during the active fire seasons from 2001 to 2010. Data are gridded at 60-m resolution. The active fire season is defined as May 24-September 18 (days of the year 144-261) in this dataset. Fire weather is the use of meteorological parameters such as relative humidity, wind speed and direction, cloud cover, mixing heights, and soil moisture to determine whether conditions are favorable for fire growth and smoke dispersion. The six indices provided in this dataset are defined and produced following the methodology of the Canadian Forest Fire Weather Index System: Fine Fuel Moisture Code, Duff Moisture Code, Drought Code, Initial Spread Index, Buildup Index, Fire Weather Index. The dataset was developed following point source data interpolation from weather station observations.",
         "license": "proprietary"
     },
@@ -55492,7 +56610,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2954648832-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2954648832-ORNL_CLOUD.html",
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         "description": "This dataset provides gridded surface-atmosphere CO2 fluxes over North America from April 8 to November 18 during 2018 and 2019. Net ecosystem exchange (NEE) was estimated  by the CMS-Flux-NA CO2 inversion system by assimilating in situ CO2 measurements and/or Orbiting Carbon Observatory (OCO-2) column-averaged CO2 retrievals. These data, along with imposed diurnal NEE variations, fossil fuel emissions, biomass burning, and biofuel emissions, are provided at 3-hour temporal resolution. The modeled co-samples of CO2 observed for aircraft flights are included for model evaluation. The data are provided in NetCDF version 4 format.",
         "license": "proprietary"
     },
@@ -55505,7 +56623,7 @@
         "bbox": "-136.15, 19.29, -55.85, 50",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2343141629-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343141629-ORNL_CLOUD.html",
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         "description": "This data set provides maps of estimated carbon in forests of the 48 continental states of the US for the years 2005-2010. Carbon (termed committed carbon) stocks were estimated for forest aboveground biomass, belowground biomass, standing dead stems, and litter for the year 2005. Carbon emissions were estimated from land use conversion to agriculture, insect damage, logging, wind, and weather events in the forests for the years 2006 - 2010. Committed net carbon flux was estimated as the sum of carbon emissions and sequestration. The maps are provided at 100-m spatial resolution in GeoTIFF format. Average annual carbon estimates, by US county, for (1) emissions for the multiple disturbance sources, (2) sequestration, and (3) the committed net carbon flux are provided in an ESRI shapefile.",
         "license": "proprietary"
     },
@@ -55518,7 +56636,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389064923-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389064923-ORNL_CLOUD.html",
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         "description": "This dataset provides 90-m resolution maps of estimated forest aboveground biomass (Mg/ha) for nominal year 2011 and projections of carbon sequestration potential for the state of Maryland. Estimated biomass and sequestration potential were computed using the Ecosystem Demography (ED) model, which integrates data from multiple sources, including: climate variables from the North American Regional Reanalysis (NARR) Product, soil variables from the Soil Survey Geographic Database (SSURGO), land cover variables from airborne lidar, the National Agriculture Imagery Program (NAIP) and the National Land Cover Database (NLCD), and vegetation parameters from the Forest Inventory and Analysis (FIA) Program.",
         "license": "proprietary"
     },
@@ -55531,7 +56649,7 @@
         "bbox": "-129, 21, -65, 52",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2395540148-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2395540148-ORNL_CLOUD.html",
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         "description": "Notice: This data set and guide were updated on June 30, 2014 to correct an error in the reported units. The data values were not changed.Spatially-gridded estimates of above ground biomass (AGB), net primary productivity (NPP), and net ecosystem productivity (NEP) are provided for forested areas of the conterminous United States (CONUS). Estimates of uncertainty are also provided for AGB and NEP. These data were derived by using Forest Inventory and Analysis (FIA) data to constrain forest growth rates in a Carnegie-Ames-Stanford Approach (CASA) carbon-cycle process model. Note that the data set does not include data for forests in the Northern Prairie States region (NPS; see Figure 3). These data provide a detailed estimate of carbon sources and sinks from recent forest disturbance and recovery across regions and forest types of the US.The data are presented as a series of ten NetCDF v4 (*.nc4) files at two spatial scales (1-degree and 5-km spatial resolution) for the nominal year of 2005.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2395542240-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2395542240-ORNL_CLOUD.html",
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         "description": "This data set provides global estimates of carbon fluxes associate with annual crop net primary production (NPP) and harvested biomass, annual uptake and release by humans and livestock, and the total annual estimate of net carbon exchange (NCE) derived from these carbon fluxes. NCE estimates are for the combined crop plant harvest and consumption/expiration of fodder by livestock and of food by humans. Estimation of carbon uptake and release from global agricultural production and consumption required compilation and analysis of inventory data from various sources for the years 2005-2011. The flux estimates were spatially distributed to a global 0.05-degree resolution grid using MODIS land cover data. The quantities of carbon flux in each gridcell are represented in two ways: (1) where the quantities of carbon distributed to each gridcell were divided by the total gridcell area, resulting in average carbon fluxes per unit of total area (g C/m2/yr), and (2), where annual carbon fluxes associated with a source were summed over all types for the gridcell (Mg C/yr). The total surface area of the grid cells is provided.There are eight data files in netCDF format (.nc4) with this data set -- two files (per area and per gridcell) for each of the four flux source types. Data for all years are in each *.nc4 file.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389158955-ORNL_CLOUD.html",
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         "description": "The Global Fire Atlas is a global dataset that tracks the day-to-day dynamics of individual fires to determine the timing and location of ignitions, fire size, duration, daily expansion, fire line length, speed, and direction of spread. These individual fire characteristics were derived based on the Global Fire Atlas algorithm and estimated day of burn information at 500-m resolution from the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 MCD64A1 burned area product. The algorithm identified 13.3 million individual fires (>=21 ha or 0.21 km2; the size of one MODIS pixel) over the 2003-2016 study period.",
         "license": "proprietary"
     },
@@ -55583,7 +56701,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756296671-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756296671-ORNL_CLOUD.html",
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         "description": "This dataset provides global gridded estimates of forest aboveground carbon stocks and potential fluxes at a 0.01-degree resolution. It was derived by initializing a newly developed global Ecosystem Demography model (ED v3.0) with novel remote sensing observations of tree canopy height collected by GEDI and ICESat-2, two NASA spaceborne lidar missions. A total of 3.77 billion lidar samples were used to generate gridded canopy height histograms that were then linked to ED simulations of canopy height and carbon dynamics during ecosystem succession. This process constrained representation of contemporary forest conditions and associated carbon stocks and fluxes in the model. Inputs that drove these simulations included meteorology, carbon dioxide levels, and soil properties. The data are provided in cloud-optimized GeoTIFF format.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3091153379-ORNL_CLOUD.html",
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         "description": "This dataset provides classes of global forests delineated by status/condition in 2020 at approximately 30-m resolution. The data support generating Tier 1 estimates for Aboveground dry woody Biomass Density (AGBD) in natural forests in the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. Forest classes include primary, young secondary (<=20 years), and old secondary forests (>20 years). Classification was based on a Boolean combination of a suite of existing Earth Observation (EO) products of forest tree cover, height, age, and land use classification layers representing years 2000 to 2020. This forest status/condition classification prioritizes the reduction of potential errors of commission in the delineations by minimizing the inclusion of ambiguous pixels. Hence, it provides a conservative estimate of global forest area, identifying approximately 3.26 billion ha of forests worldwide. The classification was created on the collaborative open-science cloud-computing system, the ESA-NASA Multi-mission Analysis and Algorithm Platform (MAAP). The data are provided in cloud-optimized GeoTIFF format.",
         "license": "proprietary"
     },
@@ -55609,7 +56727,7 @@
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         "description": "This data set provides global annual carbon flux estimates, at 0.05-degree resolution, associated with livestock feed intake, manure, manure management, respiration, and enteric fermentation, summed over all livestock types. These fluxes can be summed across multiple grid cells to obtain totals for any given areas. These 2000-2013 flux estimates were based on livestock populations reported by the Food and Agriculture Organization (FAO) and the United States Department of Agriculture National Agricultural Statistics Service (USDA NASS), on coefficients provided by the Intergovernmental Panel on Climate Change (IPCC), and on additional coefficients developed by the authors.",
         "license": "proprietary"
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@@ -55622,7 +56740,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3170780533-ORNL_CLOUD.html",
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         "description": "This dataset characterizes canopy heights of mangrove-forested wetlands globally for 2015 at 12-m resolution. Estimates of maximum canopy height (height of the tallest tree) were derived from the German Space Agency's TanDEM-X data that produced global digital surface models. Also provided are Lidar estimates of canopy height based on the GEDI instrument, which were used for training and validation of the TanDEM-X estimates of forest height. The coverage of these data follows Global Mangrove Watch's mangrove extent maps. These spatially explicit maps of mangrove canopy height can be used to assess local-scale geophysical and environmental conditions that may regulate forest structure and carbon cycle dynamics. Maps revealed a wide range of canopy heights, including maximum values (>60 m) that surpass maximum heights of other forest types. Maps are provided in cloud optimized GeoTIFF format, and mangrove heights for individual GEDI tiles are compiled in a comma separated values (CSV) files.",
         "license": "proprietary"
     },
@@ -55635,7 +56753,7 @@
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         "description": "This dataset provides estimates of the extent of mangrove loss, land cover change, and its anthropogenic or climatic drivers in three time periods: 2000-2005, 2005-2010, and 2010-2016. Landsat-based Normalized Difference Vegetation Index (NDVI) anomalies were used to determine loss extent in each period. The drivers of mangrove loss were determined by examining land cover changes using a random forest machine learning technique that considered change from mangrove to wet soil, dry soil, and water at each loss pixel. A series of decision trees used several global-scale land-use datasets to identify the ultimate driver of the mangrove loss. Loss drivers include commodity production (agriculture, aquaculture), settlement, erosion, extreme climatic events, and non-productive conversion. Maps of loss extent per period, mangrove land cover changes, and loss drivers are provided for each of 39 mangrove holding nations.",
         "license": "proprietary"
     },
@@ -55648,7 +56766,7 @@
         "bbox": "-180, -39, 180, 31",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389107206-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389107206-ORNL_CLOUD.html",
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         "description": "This dataset characterizes the global distribution, biomass, and canopy height of mangrove-forested wetlands based on remotely sensed and in situ field measurement data. Estimates of (1) mangrove aboveground biomass (AGB), (2) maximum canopy height (height of the tallest tree), and (3) basal-area weighted height (individual tree heights weighted in proportion to their basal area) for the nominal year 2000 were derived across a 30-meter resolution global mangrove ecotype extent map using remotely-sensed canopy height measurements and region-specific allometric models. Also provided are (4) in situ field measurement data for selected sites across a wide variety of forest structures (e.g., scrub, fringe, riverine and basin) in mangrove ecotypes of the global equatorial region. Within designated plots, selected trees were identified to species and diameter at breast height (DBH) and tree height was measured using a laser rangefinder or clinometer. Tree density (the number of stems) can be estimated for each plot and expressed per unit area. These data were used to derive plot-level allometry among AGB, basal area weighted height (Hba), and maximum canopy height (Hmax) and to validate the remotely sensed estimates.",
         "license": "proprietary"
     },
@@ -55661,7 +56779,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389102945-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389102945-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBhYm92ZWdyb3VuZCBiaW9tYXNzIGZvciBtYW5ncm92ZSBmb3Jlc3QsIHphbWJlemkgcml2ZXIgZGVsdGEsIG1vemFtYmlxdWVcIixcIk9STkxfQ0xPVURcIixcIkNNU19NYW5ncm92ZV9CaW9tYXNzX1phbWJlemlfMTUyMlwiLFwiMVwiLDIzODkwODI1ODYsNV0iLCJ1bW0iOiJbXCJjbXM6IGFib3ZlZ3JvdW5kIGJpb21hc3MgZm9yIG1hbmdyb3ZlIGZvcmVzdCwgemFtYmV6aSByaXZlciBkZWx0YSwgbW96YW1iaXF1ZVwiLFwiT1JOTF9DTE9VRFwiLFwiQ01TX01hbmdyb3ZlX0Jpb21hc3NfWmFtYmV6aV8xNTIyXCIsXCIxXCIsMjM4OTA4MjU4Niw1XSJ9/CMS_Global_Monthly_Wetland_CH4_1502_1",
         "description": "This data set provides global monthly wetland methane (CH4) emissions and uncertainty data products derived from an ensemble of multiple terrestrial biosphere models, wetland extent scenarios, and CH4:C temperature dependencies. The data are at 0.5 by 0.5-degree resolution. Two model output data products are included in WetCHARTs v1.0: an output from the full ensemble for 2009-2010 and an output from a limited subset for 2001-2015. The intended use of the products is as a process-informed wetland CH4 emission and uncertainty data set for atmospheric chemistry and transport modelling (WetCHARTs).",
         "license": "proprietary"
     },
@@ -55674,7 +56792,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389104778-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389104778-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGdhcyBmbGFyZSBzdXJ2ZXkgYnkgaW5mcmFyZWQgaW1hZ2luZywgdmlpcnMgbmlnaHRmaXJlLCAyMDEyLTIwMTlcIixcIk9STkxfQ0xPVURcIixcIk1ldGhhbmVfRmxhcmluZ19TaXRlc19WSUlSU18xODc0XCIsXCIxXCIsMjM0NTg3NzU1NCw1XSIsInVtbSI6IltcImdsb2JhbCBnYXMgZmxhcmUgc3VydmV5IGJ5IGluZnJhcmVkIGltYWdpbmcsIHZpaXJzIG5pZ2h0ZmlyZSwgMjAxMi0yMDE5XCIsXCJPUk5MX0NMT1VEXCIsXCJNZXRoYW5lX0ZsYXJpbmdfU2l0ZXNfVklJUlNfMTg3NFwiLFwiMVwiLDIzNDU4Nzc1NTQsNV0ifQ%3D%3D/CMS_Global_Soil_Respiration_1736_1",
         "description": "This dataset provides six global gridded products at 1-km resolution of predicted annual soil respiration (Rs) and associated uncertainty, maps of the lower and upper quartiles of the prediction distributions, and two derived annual heterotrophic respiration (Rh) maps. A machine learning approach was used to derive the predicted Rs and uncertainty data using a quantile regression forest (QRF) algorithm trained with observations from the global Soil Respiration Database (SRDB) version 3 spanning from 1961 to 2011. The two Rh maps were derived from the predicted Rs with two different empirical equations. These products were produced to support carbon cycle research at local- to global-scales, and highlight the immense spatial variability of soil respiration and our ability to predict it across the globe.",
         "license": "proprietary"
     },
@@ -55687,7 +56805,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389194355-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389194355-ORNL_CLOUD.html",
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         "description": "This dataset provides annual maps of live aboveground tree biomass (Mg/ha) for pinyon-juniper forests across the Great Basin of the Western USA for the years 2000-2016 at a spatial resolution of 30 meters. Biomass estimates are limited to areas of the Great Basin defined as a pinyon-juniper ecosystem type by the 2016 Landfire Existing Vegetation Type map. The estimates of biomass were based on a linear relationship with pinyon-juniper canopy cover and crown-based allometrics developed from field data in Nevada and Idaho. Canopy cover was estimated from remote sensing by using annual composites of Landsat imagery, which were temporally segmented with the LandTrendr algorithm, along with biologically-relevant climate variables, and topographic indices in a Random Forest regression model. Models of canopy cover were trained from semi-automatic extraction of tree crowns from 2011 - 2013 high resolution imagery (1 m) from the National Agriculture Imagery Program, which were validated with photo interpretation.  Maps of the standard deviation of biomass estimates from decision trees in the Random Forest model are provided as an indicator of uncertainty. Biomass estimates were calibrated to estimates from the Forest Inventory and Analysis program (FIA) on an annual basis and corrections applied.",
         "license": "proprietary"
     },
@@ -55713,7 +56831,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345896026-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345896026-ORNL_CLOUD.html",
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         "description": "This dataset contains annual land use/cover (LUC) maps at 30 m resolution across Mawas, Central Kalimantan, Indonesia. There are six files, each representing a five-year interval over the period 1994-2019. An additional file for 2015 was created for accuracy assessment. A high-quality and low-cloud coverage image from Landsat 5 or Landsat 8 over each 5-year period was selected or composited for the January-August timeframe. Investigators used their knowledge to manually identify training polygons in these images for five LUC classes: peat swamp forest, tall shrubs/ secondary forest, low shrubs/ferns/grass, urban/bare land/open flooded areas, and river. Pixel values of Landsat Tier 1 surface reflectance products and selected indices were extracted for each LUC and used to predict LUC classes across the Mawas study area using the Classification and Regression Trees (CART) method. These data can be used to evaluate the relationship between fire occurrence and land cover type in the study site.",
         "license": "proprietary"
     },
@@ -55726,7 +56844,7 @@
         "bbox": "-48.5, -3.76, -47.51, -3.31",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2343139758-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343139758-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBhYm92ZWdyb3VuZCBiaW9tYXNzIGZvciBtYW5ncm92ZSBmb3Jlc3QsIHphbWJlemkgcml2ZXIgZGVsdGEsIG1vemFtYmlxdWVcIixcIk9STkxfQ0xPVURcIixcIkNNU19NYW5ncm92ZV9CaW9tYXNzX1phbWJlemlfMTUyMlwiLFwiMVwiLDIzODkwODI1ODYsNV0iLCJ1bW0iOiJbXCJjbXM6IGFib3ZlZ3JvdW5kIGJpb21hc3MgZm9yIG1hbmdyb3ZlIGZvcmVzdCwgemFtYmV6aSByaXZlciBkZWx0YSwgbW96YW1iaXF1ZVwiLFwiT1JOTF9DTE9VRFwiLFwiQ01TX01hbmdyb3ZlX0Jpb21hc3NfWmFtYmV6aV8xNTIyXCIsXCIxXCIsMjM4OTA4MjU4Niw1XSJ9/CMS_Landscapes_Brazil_Forests_1301_1",
         "description": "This data set provides measurements for diameter at breast height (DBH), commercial tree height, and total tree height for forest inventories taken at the Fazenda Cauaxi and the Fazenda Nova Neonita, Paragominas municipality, Para, Brazil. Also included for each tree are the common, family, and scientific name, coordinates, canopy position, crown radius, and for dead trees the decomposition status. These biophysical measurements were made at Fazenda Cauaxi during 2012 and 2014 and at the Fazenda Nova Neonita during 2013.",
         "license": "proprietary"
     },
@@ -55739,7 +56857,7 @@
         "bbox": "-48.5, -3.77, -46.79, -2.55",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389137421-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389137421-ORNL_CLOUD.html",
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         "description": "This data set provides raw LiDAR point cloud data and derived Digital Terrain Models (DTMs) for five forested areas in the municipality of Paragominas, Para, Brazil, for the years 2012, 2013, and 2014. Data are included for two areas in Paragominas for 2013 and 2014, two areas for the Fazenda Cauaxi for 2012 and 2014, and for the Fazenda Andiroba for 2014. Shapefiles showing the LiDAR/DTM coverage areas are also provided for each of the areas.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2398118307-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2398118307-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of aboveground biomass and spatially explicit uncertainty from 53 airborne LiDAR surveys of locations throughout California between 2005 and 2014. Aboveground biomass was estimated by performing individual tree crown detection and applying a customized \"remote sensing aware\" allometric equation to these individual trees. Aboveground biomass estimates and their uncertainties for each study area are provided in per-tree and gridded format. The canopy height models used for the tree detection and biomass estimation are also provided.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2343142998-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343142998-ORNL_CLOUD.html",
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         "description": "This data set includes estimates of aboveground biomass (AGB) in 2012 from the Penobscot Experimental Forest (PEF) in Bradley, Maine. The AGB was modeled using LiDAR data gathered with the LiDAR Hyperspectral and Thermal Imager (G-LiHT) operated by Goddard Space Flight Center and field inventory data from 604 permanent Forest Inventory and Analysis (FIA) plots within the PEF. The estimates were produced through a novel modeling approach that accommodates temporal misalignment between field measurements and remotely sensed data by including multiple time-indexed measurements at plot locations to estimate changes in AGB.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082431-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082431-ORNL_CLOUD.html",
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         "description": "This data set provides estimates of above-ground biomass (AGB), canopy height, and percent tree cover at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013. Biomass estimates, megagrams of biomass per hectare (Mg/ha) were generated using a combination of LiDAR data, field plot measurements, and random forest modeling approaches. Estimates of AGB uncertainty are also provided. Maximum canopy height and tree cover were derived from LiDAR data and high-resolution National Agriculture Imagery Program (NAIP) images.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2398117778-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2398117778-ORNL_CLOUD.html",
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         "description": "This dataset provides 30-meter gridded estimates of aboveground biomass (AGB), forest canopy height, and canopy coverage for Maryland, Pennsylvania, and Delaware in 2011. Leaf-off LiDAR data were combined with high-resolution leaf-on agricultural imagery in a model-based stratification that was used to select 848 sampling sites for AGB estimation. Field-based estimates were then related to LiDAR height and volume metrics through random forest regression models across three physiographic regions. Spatial errors were estimated at the pixel level using standard prediction intervals to assess the accuracy of the modeling approach. Estimates of biomass were further validated against the permanent network of FIA plots and compared with existing coarse resolution national biomass maps.",
         "license": "proprietary"
     },
@@ -55804,7 +56922,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2396938169-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2396938169-ORNL_CLOUD.html",
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         "description": "This dataset provides airborne LiDAR data collected over 90 sites totaling approximately 100,000 hectares of forested land in Kalimantan, Indonesia on the island of Borneo in late 2014. The data were collected as part of an effort to establish a national forest monitoring system for Indonesia that uses a combination of remote sensing and ground-based forest carbon inventory approaches.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389102262-ORNL_CLOUD.html",
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         "description": "This data set provides high-resolution LiDAR point cloud data collected during surveys over mangrove forests in the Zambezi River Delta in Mozambique in May 2014. The data are arranged into 144 1- by 1-km tiles.",
         "license": "proprietary"
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@@ -55830,7 +56948,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2398114806-ORNL_CLOUD.html",
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         "description": "This dataset provides canopy height and elevation data products derived from airborne LiDAR data collected over 90 sites on the island of Borneo in late 2014. The sites cover approximately 100,000 hectares of forested land in Kalimantan, Indonesia. The data were produced as part of an effort to improve a national forest monitoring system for Indonesia that uses a combination of remote sensing and ground-based forest carbon inventory approaches.",
         "license": "proprietary"
     },
@@ -55843,7 +56961,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082586-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082586-ORNL_CLOUD.html",
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         "description": "This dataset provides several estimates of aboveground biomass from various regressions and allometries for mangrove forest in the Zambezi River Delta, Mozambique. Plot level estimates of aboveground biomass are based on extensive tree biophysical measurements from field campaigns conducted in September and October of 2012 and 2013. Aboveground biomass estimates for the larger area of mangrove coverage within the delta are based on (1) the plot level data and (2) canopy structure data derived from airborne LiDAR surveys in 2014. The high-resolution canopy height model for the delta region derived from the airborne LiDAR data is also included.",
         "license": "proprietary"
     },
@@ -55856,7 +56974,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2343165627-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343165627-ORNL_CLOUD.html",
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         "description": "This data set provides canopy height, land cover change, and stand age estimates for mangrove forests in the Rufiji River Delta in Tanzania. The estimates were derived from a canopy height model (CHM) using TanDEM-X imagery and Polarimetric SAR interferometry (Pol-InSAR) techniques. Landsat imagery circa 1990 and circa 2014 was used to estimate stand age between 1994 and 2014 and for forest land cover change modeling.",
         "license": "proprietary"
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         "description": "This data set provides canopy height estimates for mangrove forests at 0.6 x 0.6 m resolution in three study sites located in southeastern Mozambique, Africa: two sites on Inhaca Island and one in the Maputo Elephant Reserve, located in the southern province of Maputo for September, 2012. The estimates were derived from WorldView1 (WV-1) very high resolution (VHR) stereo images processed using the Ames Stereo Pipeline (ASP) digital surface model (DSM) tool.",
         "license": "proprietary"
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         "description": "This data set provides high resolution canopy height estimates for mangrove forests in the Zambezi Delta, Mozambique, Africa. The estimates were derived from three separate canopy height models (CHM) using airborne Lidar data, stereophotogrammetry with WorldView 1 imagery, and Interferometric-Synthetic Aperture Radar (In-SAR) techniques with TanDEM-X imagery. The data cover the period 2011-10-14 to 2014-05-06.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389022166-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389022166-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of mangrove extent for 2016, and mangrove change (gain or loss) from 2000 to 2016, in major river delta regions of eight countries: Bangladesh, Gabon, Jamaica, Mozambique, Peru, Senegal, Tanzania, and Vietnam. For mangrove extent, a combination of Landsat 8 OLI, Sentinel-1 C-SAR, and Shuttle Radar Topography Mission (SRTM) elevation data were used to create country-wide maps of mangrove landcover extent at a 30-m resolution. For mangrove change, the global mangrove map for 2000 (Giri et al., 2010) was used as the baseline. Normalized Difference Vegetation Indices (NDVI) were calculated for every cloud- and shadow-free pixel in the Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI collection and used to create an NDVI anomaly from 2000 to 2016. Areas of change (loss or gain) occurred at the extremes of the cumulative anomalies.",
         "license": "proprietary"
     },
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         "description": "This data set provides 30-meter gridded estimates of aboveground biomass (AGB), canopy height, and canopy coverage for the state of Maryland in 2011. Leaf-off LiDAR data were combined with high-resolution leaf-on agricultural imagery to select 848 field sampling sites for biomass measurements. The field-based estimates were related to LiDAR height and volume metrics through random forests regression models across three physiographic regions of Maryland.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343105668-ORNL_CLOUD.html",
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         "description": "This data set provides average hourly measured, modeled enhancements, and background methane (CH4) concentrations, atmospheric ethane (C2H6) measurements, prior CH4 flux fields by sector, and a spatial reconstruction of natural gas (NG) consumption in Boston, Massachusetts and the surrounding region. Atmospheric CH4 concentrations were measured continuously from September 2012 through August 2013 at four locations and atmospheric ethane was measured continuously for several months during 2012-2014 at one location. Spatial models of prior CH4 emissions and natural gas consumption are given for an ~18,000 km^2 area centered on Boston, MA.",
         "license": "proprietary"
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         "description": "This data set provides estimates of pre-deforestation aboveground live woody biomass (AGLB) at 30-m resolution for deforested areas of tropical America, tropical Africa, and tropical Asia for the year 2000. The biomass estimates are only for areas where deforestation occurred during the period 2000 through 2012. These estimates represent biomass loss over this time period and can be used to derive average annual carbon emissions from tropical deforestation.",
         "license": "proprietary"
     },
@@ -55973,7 +57091,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343154679-ORNL_CLOUD.html",
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         "description": "This data set provides high-resolution (1-m) tree canopy cover for states in the Northeast USA. State-level canopy cover data are currently available for Pennsylvania (data for nominal year 2008), Delaware (2014), and Maryland (2013). The data were derived with a rules-based expert system which facilitated integration of leaf-on LiDAR and imagery data into a single classification workflow, exploiting the spectral, height, and spatial information contained in the datasets. Additional states will be added as data processing is completed.",
         "license": "proprietary"
     },
@@ -55986,7 +57104,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2395541013-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2395541013-ORNL_CLOUD.html",
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         "description": "These data consist of high-resolution maps of aboveground biomass at four forested sites in the US: Garcia River Tract in California, Anne Arundel and Howard Counties in Maryland, Parker Tract in North Carolina, and Hubbard Brook Experimental Forest in New Hampshire. Biomass maps were generated using a combination of field data (forest inventory and Lidar) and modeling approaches. Estimates of uncertainty are also provided for the Maryland site using two different modeling methodologies.These data provide estimates of aboveground biomass for the nominal year of 2011 at 20-50 meter resolution in units of megagrams of carbon per hectare (or acre for the Garcia Tract site).The data are presented as a series of 11 GeoTIFF (*.tif) files.",
         "license": "proprietary"
     },
@@ -55999,7 +57117,7 @@
         "bbox": "-100.43, 13.16, -68.19, 39.37",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082819-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082819-ORNL_CLOUD.html",
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         "description": "This dataset contains monthly mean ocean surface physical and biogeochemical data for the Gulf of Mexico simulated by the South Atlantic Bight and Gulf of Mexico (SABGOM) model on a 5-km grid from 2005 to 2010. The simulated data include ocean surface salinity, temperature, dissolved inorganic nitrogen (DIN), dissolved inorganic carbon (DIC), partial pressure of CO2 (pCO2), air-sea CO2 flux, surface currents, and primary production. The SABGOM model is a coupled physical-biogeochemical model for studying circulation and biochemical cycling for the entire Gulf of Mexico to achieve an improved understanding of marine ecosystem variations and their relations with three-dimensional ocean circulation in a gulf-wide context.",
         "license": "proprietary"
     },
@@ -56012,7 +57130,7 @@
         "bbox": "-117.12, 14.53, -86.74, 32.72",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389083479-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389083479-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic29pbCBtYXRyaWMgcG90ZW50aWFsLCBkaWVsZWN0cmljLCBhbmQgcGh5c2ljYWwgcHJvcGVydGllcywgYXJjdGljIGFsYXNrYSwgMjAxOFwiLFwiT1JOTF9DTE9VRFwiLFwiQXJjdGljX1NvaWxfUHJvcGVydGllc18yMTQ5XCIsXCIxXCIsMjczMjU5Mjc2NSwzXSIsInVtbSI6IltcInNvaWwgbWF0cmljIHBvdGVudGlhbCwgZGllbGVjdHJpYywgYW5kIHBoeXNpY2FsIHByb3BlcnRpZXMsIGFyY3RpYyBhbGFza2EsIDIwMThcIixcIk9STkxfQ0xPVURcIixcIkFyY3RpY19Tb2lsX1Byb3BlcnRpZXNfMjE0OVwiLFwiMVwiLDI3MzI1OTI3NjUsM10ifQ%3D%3D/CMS_SOC_Mexico_1754_1",
         "description": "This dataset provides an estimate of soil organic carbon (SOC) in the top one meter of soil across Mexico at a 90-m resolution for the period 1999-2009. Carbon estimates (kg/m2) are based on a field data collection of 2852 soil profiles by the National Institute for Statistics and Geography (INEGI). The profile data were used for the development of a predictive model along with a set of environmental covariates that were harmonized in a regular grid of 90x90 m2 across all Mexican states. The base of reference was the digital elevation model (DEM) of the INEGI at 90-m spatial resolution. A model ensemble of regression trees with a recursive elimination of variables explained 54% of the total variability using a cross-validation technique of independent samples. The error associated with the predictive model estimates of SOC is provided. A summary of the total estimated SOC per state, statistical description of the modeled SOC data, and the number of pixels modeled for each state are also provided.",
         "license": "proprietary"
     },
@@ -56025,7 +57143,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389105307-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389105307-ORNL_CLOUD.html",
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         "description": "This dataset provides two sets of gridded estimates of estimated soil organic carbon (SOC) and associated uncertainties for 0-30 cm topsoil layer in kg SOC/m2 at 250-m resolution across Mexico and the conterminous USA (CONUS). The first set of gridded SOC estimates, for the period 1991-2010, were derived using multi-source SOC field data and multiple environmental variables representative of the soil forming environment coupled with a machine learning approach (i.e., simulated annealing) and regression tree ensemble modeling for optimized SOC prediction. Predictions of gridded SOC and uncertainty based on multiple bulk density (BD) pedotransfer functions (PFTs) are also included. The second set of gridded SOC estimates, for the period 2009-2011, were derived from two fully independent validation field datasets from across both countries. Note that the same environmental variables and modeling approach used for the first set of estimates were applied to the second set to assess the models' sensitivity to multiple SOC data sources. The SOC field data for the first set of estimates are provided in this dataset and the other data sources, including the two independent validation field datasets, are referenced.",
         "license": "proprietary"
     },
@@ -56038,7 +57156,7 @@
         "bbox": "-117, 22.77, -108, 32.64",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2343141032-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343141032-ORNL_CLOUD.html",
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         "description": "This data set provides data for MODIS-derived (1) gross primary productivity (GPP) for the years 2000-2010, (2) fraction of photosynthetically active radiation (fPAR) for the years 2003-2013, (3) sea surface temperature (SST) for the years 2003-2013, and (4) the NOAA-source Multivariate ENSO Index (MEI) data for the years 2003-2013 (as a measure of the El Nino/Southern Oscillation). The study areas were three transects on the Baja California Peninsula, Mexico, and the adjacent Pacific Ocean. The terrestrial transects, in order from North to South, West to East included Punta Colonet (three sites-PC1, PC2, PC3), Punta Abreojos (two sites-PA1, PA2), and Magdalena Bay (three sites-MB1, MB2, MB3).",
         "license": "proprietary"
     },
@@ -56051,7 +57169,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021661-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021661-ORNL_CLOUD.html",
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         "description": "This dataset provides results for simulations of solar-induced chlorophyll fluorescence (SIF) implemented within the terrestrial biosphere Community Land Model (CLM 4.5) for Niwot Ridge, Colorado, USA, from 1998-2018. The data include outputs from three model simulations designed to test the importance of non-photochemical quenching (NPQ), that is, the absorbed light energy dissipated as heat, in determining seasonal SIF.",
         "license": "proprietary"
     },
@@ -56064,7 +57182,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2343105782-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343105782-ORNL_CLOUD.html",
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         "description": "This data set provides the results of (1) monthly measurements of soil CO2 efflux, volumetric water content, and temperature, and (2) seasonal measurements of soil (porosity, bulk density, nitrogen (N) and carbon (C) content) and vegetation (leaf area index (LAI), litter and fine root biomass) properties in a water-limited ecosystem in Baja California, Mexico.  Measurements and samples were collected from August 2011 to August 2012.",
         "license": "proprietary"
     },
@@ -56077,7 +57195,7 @@
         "bbox": "-178.22, 24.2, -65, 71.41",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082906-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082906-ORNL_CLOUD.html",
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         "description": "This data set contains annual modeled estimates of wildland fire emissions at 0.01 degree (~1-km) spatial resolution from the Wildland Fire Emissions Information System (WFEIS v0.5) for the conterminous U.S. (CONUS) and Alaska for 2001 through 2013. WFEIS is a web-based tool that provides resources to quantify emissions from past fires and output results as spatial data files (French et al., 2014). The data set includes emissions estimates of carbon (C), carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), other non-methane hydrocarbons (NMHC), and particulate matter (PM) as well as estimates of above-ground biomass, total fuel availability, and consumption estimates.",
         "license": "proprietary"
     },
@@ -56090,7 +57208,7 @@
         "bbox": "-124.51, 32.2, -115.96, 42.82",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2343166173-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343166173-ORNL_CLOUD.html",
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         "description": "This data set provides estimated CO2 emission signals for 16 regions (air quality basins) in California, USA, during the individual months of November 2010 and May 2011. The CO2 signals were predicted from simulated atmospheric CO2 observations and modeled fossil fuel emissions and biosphere CO2 fluxes. Data is also provided for the land surface in the larger modeling domain outside California. CO2 signals refer to the local enhancement or depletion in atmospheric CO2 concentration caused by fossil fuel emissions or biospheric exchange occurring within the region.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2390408273-ORNL_CLOUD.html",
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         "description": "This data set contains estimated hourly CO2 atmospheric mole fractions and meteorological observations over North America for the year 2010 at a horizontal grid resolution of 27 km and vertical resolution from the surface to 50 hPa. The data are output from the Penn State WRF-Chem version of the Weather Research and Forecasting (WRF) model using lateral boundary conditions and surface fluxes from the CMS-Flux Inversion system.",
         "license": "proprietary"
     },
@@ -56263,6 +57381,19 @@
         "description": "This is Laseaman hills earth tide data from March to November 2006 by using Lacoste ET gravimeter.",
         "license": "proprietary"
     },
+    {
+        "id": "CO2Fluxes_Arctic_Boreal_Domain_2377_1",
+        "title": "Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020",
+        "catalog": "ORNL_CLOUD STAC Catalog",
+        "state_date": "2001-01-01",
+        "end_date": "2020-12-31",
+        "bbox": "-180, 33.68, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3261062541-ORNL_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3261062541-ORNL_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibHVoMi1pc2ltaXAyYiBoYXJtb25pemVkIGdsb2JhbCBsYW5kIHVzZSBmb3IgdGhlIHllYXJzIDIwMTUtMjEwMFwiLFwiT1JOTF9DTE9VRFwiLFwiTGFuZF9Vc2VfSGFybW9uaXphdGlvbl9WMl8xNzIxXCIsXCIxXCIsMjc2NDcyODk2NiwyXSIsInVtbSI6IltcImx1aDItaXNpbWlwMmIgaGFybW9uaXplZCBnbG9iYWwgbGFuZCB1c2UgZm9yIHRoZSB5ZWFycyAyMDE1LTIxMDBcIixcIk9STkxfQ0xPVURcIixcIkxhbmRfVXNlX0hhcm1vbml6YXRpb25fVjJfMTcyMVwiLFwiMVwiLDI3NjQ3Mjg5NjYsMl0ifQ%3D%3D/CO2Fluxes_Arctic_Boreal_Domain_2377_1",
+        "description": "This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem CO2 exchange (NEE) across the circumpolar terrestrial Arctic-boreal region at a 1-km spatial resolution. Monthly CO2 flux data from 2001 to 2020 were generated using terrestrial eddy covariance and chamber CO2 flux observations, combined with geospatial meteorological, remote sensing, topographical and soil data, all within a random forest modeling framework. Aggregated average annual NEE, average annual NEE with direct fire emissions added based on the Global Fire Emissions Database (GFED) product, and temporal trends in annual NEE rasters over 2002-2020 are also included. The data are provided in NetCDF and GeoTIFF formats.",
+        "license": "proprietary"
+    },
     {
         "id": "COASTAL_0",
         "title": "COASTAL Project",
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3104478810-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3104478810-ORNL_CLOUD.html",
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         "description": "This dataset provides information to access NASA Earthdata published flight data and flight information collected by the Alpha Jet Atmospheric eXperiment (AJAX) and associated with the COMEX project in 2014-2015. The file lists information for COMEX-related datasets that has been subsetted from AJAX collections archived through NASA's Atmospheric Science Data Center.  AJAX data are not otherwise replicated in this dataset. AJAX is a partnership between NASA's Ames Research Center and H211, L.L.C., which conducted in-situ measurements over California, Nevada, and the coastal Pacific in support of satellite validation. During COMEX data collection, a Picarro greenhouse gas (GHG) sensor was mounted on an Alpha Jet, a tactical strike fighter developed by Dassault-Breguet and Dornier through a German-French NATO collaboration. The GHG sensor made repeat measurements in California and Nevada. In situ data included measurements of CO2, CH4, and H2O at 2 Hz or CH4 and H2O at 10 Hz with a strategy of characterizing atmospheric structure over ocean and land, and vertical profiles to at least 5000 m.  Ancillary data, including O3, formaldehyde, and meteorological profiles, were also collected. This dataset provides filenames, spatiotemporal bounds, and download URLs for accessing these in situ data. This information is provided in comma separated values (CSV) format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3104460037-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3104460037-ORNL_CLOUD.html",
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         "description": "This dataset lists flight lines and provides data access links and contextual flight information for a subset of the AVIRIS-Classic Facility Instrument Collection that are associated with the CO2 and MEthane eXperiment (COMEX) Project.  The COMEX Project was carried out May through September, 2014. AVIRIS-Classic Facility Instrument data are otherwise not replicated in this dataset. The COMEX Project utilized several measurement capabilities including the AVIRIS-Classic airborne facility instrument data to demonstrate that methane emissions associated with fossil fuel production activities in the Los Angeles, California area were of sufficient magnitude and size for space-based observations.  These lists of the associated COMEX flights from the AVIRIS-Classic Facility Instrument provide flight lines and access information for the Level 1B Calibrated Radiance data and the Level 2 Calibrated Reflectance data.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3103969015-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBzb2lsIGNvMiBlZmZsdXggYW5kIHByb3BlcnRpZXMsIHNpdGUgdmVnZXRhdGlvbiBtZWFzdXJlbWVudHMsIG1leGljbywgMjAxMS0yMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU29pbF9DTzJfRWZmbHV4XzEyOThcIixcIjFcIiwyMzQzMTA1NzgyLDVdIiwidW1tIjoiW1wiY21zOiBzb2lsIGNvMiBlZmZsdXggYW5kIHByb3BlcnRpZXMsIHNpdGUgdmVnZXRhdGlvbiBtZWFzdXJlbWVudHMsIG1leGljbywgMjAxMS0yMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU29pbF9DTzJfRWZmbHV4XzEyOThcIixcIjFcIiwyMzQzMTA1NzgyLDVdIn0%3D/COMEX_AVIRIS_NG_Flights_2342_1",
         "description": "This dataset lists flight lines and provides data access links and contextual flight information for a subset of the AVIRIS-NG Facility Instrument Collection that are associated with the CO2 and MEthane eXperiment (COMEX) Project.  The COMEX Project was carried out May through September, 2014. AVIRIS-NG Facility Instrument data are otherwise not replicated in this dataset. The COMEX Project utilized several measurement capabilities including the AVIRIS-NG airborne facility instrument data to demonstrate that methane emissions associated with fossil fuel production activities in the Los Angeles, California area were of sufficient magnitude and size for space-based observations.  These lists of the associated COMEX flights from the AVIRIS-NG Facility Instrument provide flight lines and access information for the Level 1B Calibrated Radiance data and the Level 2 Calibrated Reflectance data.",
         "license": "proprietary"
     },
@@ -56324,7 +57455,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3134262949-ORNL_CLOUD.html",
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         "description": "This dataset provides calibrated at-sensor radiance, retrieved surface brightness temperature, and adaptive coherence estimator (ACE) detection imagery of methane, and a limited number of auxiliary gases collected with the Aerospace Corporation's Mako airborne longwave-IR hyperspectral imager flown during July 22-25, 2014 over a variety of methane generating sites in southern and central California (CA), U.S. These sites included animal husbandry and oil/gas production facilities. Specific study areas included the Coal Oil Point marine seep field off of Goleta, CA, the Kern River oil field complex at Bakersfield, CA, and the extensive stockyards in Chino, CA. The Kern River complex was acquired at 1-m ground sampling distance (GSD), while the other study areas were at 2-m GSD. Levels 1-3 data include single whisk data cubes (L1); at-sensor radiance and sensor performance (L2); surface brightness temperature and ACE detections for specific gases (L3). The data were collected in support of the NASA/ESA COMEX (CO2 and Methane EXperiment) campaign. The data are provided in ENVI and comma separated values (CSV) formats. Quicklook images are included for flight lines and molecule specific detections.",
         "license": "proprietary"
     },
@@ -56558,7 +57689,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677226029-ORNL_CLOUD.html",
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         "description": "This dataset consists of the atmospheric boundary layer (ABL) top heights and the altitudes of the two additional aerosol layers (in km above mean sea level) derived from Cloud Physics Lidar (CPL) measurements using the Haar wavelet transform method. The CPL instrument was deployed onboard NASA's C-130 aircraft to obtain aerosol backscatter profiles during four ACT-America field campaigns (Summer 2016, Winter 2017, Fall 2017, and Spring 2018). CPL is a backscatter lidar designed to operate simultaneously at three wavelengths. The profiles were collected at 4-second temporal and 30 m vertical resolutions. The time resolution of the provided CPL-derived ABL top heights and other aerosol layers are 8 seconds.",
         "license": "proprietary"
     },
@@ -56766,7 +57897,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345881744-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345881744-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJpdmVyIGRpc2NoYXJnZSwgMTgwNy0xOTkxLCB2W2Vyc2lvbl0uIDEuMSAocml2ZGlzKVwiLFwiT1JOTF9DTE9VRFwiLFwicml2ZGlzXzE5OVwiLFwiMVwiLDI3NTYyMzA3ODUsNF0iLCJ1bW0iOiJbXCJnbG9iYWwgcml2ZXIgZGlzY2hhcmdlLCAxODA3LTE5OTEsIHZbZXJzaW9uXS4gMS4xIChyaXZkaXMpXCIsXCJPUk5MX0NMT1VEXCIsXCJyaXZkaXNfMTk5XCIsXCIxXCIsMjc1NjIzMDc4NSw0XSJ9/CStocks_Greenness_Mangroves_MX_1853_1",
         "description": "This dataset provides estimates of greenness trends, above- and belowground carbon stocks, and climate variables of the persistent mangrove forests on the coasts of Mexico (PMFM) at a 1 km resolution from 2001 through 2015. Data are available as one-time estimates or across the temporal range; typically as monthly summaries. One-time estimates of aboveground carbon and soil organic carbon stocks for the PMFM derived from existing sources are provided. Also included are the monthly mean normalized difference vegetation index (NDVI) from MOD13A3 used to derive greenness trends, monthly mean air temperature, and total monthly precipitation from Daymet for 2001-2015 across the PMFM. Other files include the distribution and coverage of PMFM across Mexico. Distributions are provided as four categories of PMFM: (1) Arid mangroves with Surface Water as main input, along the Gulf of California and Pacific Coast (ARsw); (2) humid mangroves with surface water input along the Pacific Coast (HUsw-Pa); (3) humid mangroves with surface water input along the coast of the Gulf of Mexico (HUsw-Gf); (4) humid mangroves with groundwater input along the Gulf of Mexico and Caribbean Sea (HUgw). These data provide a baseline for national monitoring programs, carbon accounting models, and greenness trends in coastal wetlands.",
         "license": "proprietary"
     },
@@ -57624,7 +58755,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389230395-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389230395-ORNL_CLOUD.html",
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         "description": "This dataset provides monthly estimates of biomass stocks and land-atmosphere carbon exchange across the western United States at 0.95 degrees longitude x 1.25 degrees latitude grid resolution from 1998 through 2010. The data include outputs from two types of model simulations: (1) a \"free\" simulation which used Community Land Model (CLM5.0) simulations forced with meteorology appropriate for complex mountainous terrain, and (2) \"assimilation\" runs using the land surface data assimilation system (CLM5-DART). In assimilation runs, the CLM5 vegetation state is constrained by remotely sensed observations of leaf area index and aboveground biomass, which influenced biomass stocks and carbon fluxes.",
         "license": "proprietary"
     },
@@ -57637,7 +58768,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345896855-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345896855-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of carbon pools, fluxes, and associated uncertainties across the contiguous USA (CONUS) at 0.5-degree resolution for all terrestrial land cover types. Carbon pools include labile carbon, foliar carbon, fine root, woody carbon, litter carbon, and soil organic carbon. Carbon fluxes include gross primary production (GPP), net primary production (NPP), net biome exchange, autotrophic respiration, and heterotrophic respiration. The modeled estimates are provided as monthly averages over the 16-year period, 2001 through 2016. The data were derived from the CARbon DAta MOdel fraMework (CARDAMOM) that included climate data, and above and below ground biomass maps of CONUS for the years 2005, 2010, 2015 and 2016 as input data sources to this model-data fusion framework.  The input data were integrated into the CARDAMOM model to constrain on the terrestrial carbon and to specifically attribute changes of forest carbon stocks and spatial distributions of carbon emissions and removals across forested lands. United States Forest Service's Forest Inventory and Analysis (FIA) plot data were used to train models for the prediction of forest above-ground biomass (AGB).",
         "license": "proprietary"
     },
@@ -57689,7 +58820,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2767509024-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767509024-ORNL_CLOUD.html",
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         "description": "This data set contains soils data from the Canada Soil Information System (CanSIS) in ESRI Shapefile format for the provinces of Saskatchewan and Manitoba. They are provided as part of the BOReal Ecosystem-Atmosphere Study (BOREAS) Staff Science GIS data collection program. Attribute tables provide the various soil data for the polygons. There is one attribute table for Saskatchewan and one for Manitoba. This data product may be useful to someone who is interested in studying this area at a regional scale.",
         "license": "proprietary"
     },
@@ -57702,7 +58833,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162140027-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162140027-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IG1vZGlzLWRlcml2ZWQgbWF4aW11bSBuZHZpLCBub3J0aGVybiBhbGFza2EgYW5kIHl1a29uIHRlcnJpdG9yeSBmb3IgMjAwMi0yMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBbGFza2FfWXVrb25fTkRWSV8xNjE0XCIsXCIxXCIsMjE2MjE0NTQ5Miw1XSIsInVtbSI6IltcImFib3ZlOiBtb2Rpcy1kZXJpdmVkIG1heGltdW0gbmR2aSwgbm9ydGhlcm4gYWxhc2thIGFuZCB5dWtvbiB0ZXJyaXRvcnkgZm9yIDIwMDItMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQWxhc2thX1l1a29uX05EVklfMTYxNFwiLFwiMVwiLDIxNjIxNDU0OTIsNV0ifQ%3D%3D/Canada_Boreal_Forest_Greenness_1587_1",
         "description": "This dataset provides a 28-year time series of peak greenness (NDVI) data derived from Landsat 5 TM imagery over the boreal forest region of Canada. Landsat 5 TM scenes were collected for 46 selected sidelap sites along gradients in climate, tree cover, and disturbance history from 1984 to 2011. Peak-greenness reflectance was computed for 30-m Landsat pixels using the maximum normalized difference vegetation index (NDVI) along with the normalized burn ratio (NBR) during the period between days of the year (DOY) 180 and 204. To facilitate trend analysis at each site, the NDVI and NBR data of the 30-m Landsat pixels were regridded to the coarser MODIS 500-m (463.3-m) spatial scale to reduce the effects of missing data and to enhance the significance of the trend. The regridded NDVI and NBR 28-year time series data at 500-m resolution are provided for each of the 46 sites. Two trend analyses were run on the 500-m resolution data and are reported for each site. Supplemental site metadata are also provided, including the number of valid Landsat pixels, land cover composition, and disturbance history, for each 500-m pixel.",
         "license": "proprietary"
     },
@@ -57715,7 +58846,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162120352-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162120352-ORNL_CLOUD.html",
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         "description": "This dataset provides vegetation, soil, and plot characteristics for 154 study plots located at three sites across the Richardson Mountains, Northwest Territories (NWT), and the British Mountains, Yukon Territory (YT). Study sites in the NWT included areas near Canoe Lake and Divided Lake; the study site in the YT was near Trout Lake. Specific attributes include dominant vegetation, species cover, and the physical characteristics of the plot areas. A soil pit was dug at each plot and the physical and chemical characteristics were determined for soil horizons. The data were collected in June, July, and August of 1965 and July and August of 1966.",
         "license": "proprietary"
     },
@@ -57949,7 +59080,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401889-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401889-ORNL_CLOUD.html",
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         "description": "This dataset provides the results of in situ measurements of needle-level chlorophyll fluorescence (ChlF) obtained from a pulse amplitude modulated (PAM) fluorometer from evergreen needleleaf forested sites one in Alaska and one in Idaho. Measured light-adapted minimal fluorescence (Ft) is reported as the quantum yield of fluorescence and light-adapted variable fluorescence over maximal fluorescence (Fv/Fm) and is reported as the quantum yield of photosystem II. Also reported for both sites are two modeled irradiance products: (1) the top-of-canopy instantaneous irradiance (W/m2) and (2) needle-level irradiance (W/m2) that was modeled to account for shadow casting and canopy orientation in modulating direct radiation. Both products were modeled to be contemporaneous with ChlF observations. At the Idaho site only, needle-level irradiance (W/m2) was measured in situ with a handheld pyranometer. The Alaska field site is located in the northern latitudinal forest-tundra ecotone (FTE) near the Dalton Highway in Northern Alaska. Thirty-six Picea glauca (white spruce) trees were sampled on 2017-07-07 to 2017-07-08. The Idaho field site is located in a montane forest near McCall, Idaho. Ten selected Abies grandis (grand fir) trees were sampled on 2019-07-05 to 2019-07-06. Measurement of needle-level ChlF occurred during clear-sky conditions such that the canopies experienced a broad range of variability in sunlit-shading patterns across the day during these near-solstice periods.",
         "license": "proprietary"
     },
@@ -57962,7 +59093,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2883645605-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2883645605-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of trends in temperature, moisture, and vegetation changes over the circumpolar Arctic. Time series trends were measured by the Theil-Sen slope and associated p-values for a variety of variables including 2-meter air temperature, precipitation, soil moisture, non-frozen season days, permafrost active layer thickness, snow cover, vapor pressure deficit, land surface water fraction, normalized difference vegetation index (NDVI), and vegetation optical depth. Trends were measured annually and over specific seasons of spring (March to May), summer (June to August), autumn (September to November) and winter (December to February), and for the 1980-2020 and 1997-2020 time periods, depending on the variable and original data availability. Emerging hotspots of change were identified for the same variables and seasons, but only over the 1997-2020 period. In addition, a multivariate ranking was used to create combined hotspot layers to show areas of substantial changes in the thermal environment, moisture, and vegetation; these themes reflect landscape changes considered to be detrimental (e.g., a threat) to ecosystems and human populations. Ancillary files provide the boundaries of study regions, Brown permafrost regions, and a land cover product.  The data are provided in cloud optimized GeoTIFF (COG) and shapefile formats.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764862016-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764862016-ORNL_CLOUD.html",
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         "description": "This dataset provides two 30-year climate normal data products for conditions during the last glacial maximum (LGM; ~18,000 years ago) and a modern time period (1975-2005) for the entire state of Alaska. The first set of products are monthly climate variable averages at 60 m resolution, including: minimum, maximum, and average temperatures, total precipitation, total surface radiation, rain, snow, potential evapotranspiration (PET), actual evapotranspiration (AET), and water deficit. The second set of products are annual summary climate variable averages for the same variables (excepting average temperature and rain) at 60m, 120m, 240m, 800m, 1km, 2km, 3km, 4km, 5km, 10km and 12km resolutions. The 30-year climate normal monthly averages were derived by topographically downscaling climate variables from existing coarse-resolution general circulation model outputs combined with local weather station data and digital surface models for Alaska for both the LGM and modern time periods at 60 m resolution. From this baseline, monthly averages for total surface radiation, rain, snow, potential evapotranspiration, actual evapotranspiration, and water deficit were also modeled. The annual averages are coarser resolution upsampled versions of the 60 m resolution monthly average data.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2398099021-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2398099021-ORNL_CLOUD.html",
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         "description": "This dataset contains estimates of percent cover of tree, shrub, herb, and other (non-vegetation) lifeform classes and uncertainties for the conterminous U.S. (CONUS). The estimates were derived using quantile regression forest models and indicate the percent of ground covered by a vertical projection of each lifeform class ranging from 0 to 100 percent. Model input data included Landsat surface reflectance (SR) data and 165 airborne LiDAR datasets covering eight of the eleven terrestrial biomes of the conterminous U.S. and Alaska. Eighty-six of the LiDAR acquisitions are part of the NASA Goddard's LiDAR, Hyperspectral, and Thermal Imager (G-LiHT) airborne imager data collection; the remaining 79 sites were acquired by the National Science Foundation's National Ecological Observatory Network Airborne Observation Platform (NEON AOP). Acquisitions were selected based on the availability of the SR data for each G-LiHT and NEON dataset. The data are annual estimates from 1984 to 2018 and were tiled (425 tiles) using the CONUS Landsat Analysis Ready Data (ARD) grid scheme. Data are provided in GeoTIFF format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389081666-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389081666-ORNL_CLOUD.html",
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         "description": "This dataset provides 5 x 5 km gridded estimates of soil organic carbon (SOC) across Latin America that were derived from existing point soil characterization data and compiled environmental prediction factors for SOC. This dataset is representative for the period between 1980 to 2000s corresponding with the highest density of observations available in the WoSIS system and the covariates used as prediction factors for soil organic carbon across Latin America. SOC stocks (kg/m2) were estimated for the SOC and bulk density point measurements and a spatially explicit measure of the SOC estimation error was also calculated. A modeling ensemble, using a linear combination of five statistical methods (regression Kriging, random forest, kernel weighted nearest neighbors, partial least squared regression and support vector machines) was applied to the SOC stock data at (1) country-specific and (2) regional scales to develop gridded SOC estimates (kg/m2) for all of Latin America. Uncertainty estimates are provided for the two model predictions based on independent model residuals and their full conditional response to the SOC prediction factors.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780740663-ORNL_CLOUD.html",
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         "description": "This database is a major update of the Leemans and Cramer database.  It currently contains monthly averages of mean temperature, temperature range, precipitation, rain days and sunshine hours for the terrestrial surface of the globe, gridded at 0.5 degree longitude/latitude resolution.  It was generated from a large data base, using the partial thin-plate splining algorithm.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2732596448-ORNL_CLOUD.html",
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         "description": "This dataset contains daily estimates of carbon fluxes in croplands derived from the \"ecosys\" model covering a portion of the Midwestern US (Illinois, Indiana, and Iowa) at county-level resolution from 2001-2018. Ecosys simulates water, energy, carbon, and nutrient cycles simultaneously for various ecosystems, including agricultural systems at up to hourly resolution. Estimates include: gross primary productivity (GPP), net primary productivity (NPP), autotrophic respiration (Ra), heterotrophic respiration (Rh), or net ecosystem exchange (NEE). Data were generated by the ecosys model constrained by observational data, including USDA crop yield from USDA National Agricultural Statistics Service, and a remote-sensing-based SLOPE GPP product. Model performance was evaluated using observations from AmeriFlux towers at agricultural sites within the study area. Agriculture in the US Midwest produces significant quantities of corn and soybeans, which are key elements to the global food supply. The data are provided in shapefile format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162186248-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162186248-ORNL_CLOUD.html",
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         "description": "This dataset provides near-daily lake area timeseries for 85,358 lakes across four study areas in Northern Canada and Alaska, USA, between May 1 and October 1, 2017. These lake area estimates were produced using digital images from newly developed Planet Labs CubeSats, small satellites with a 4-band (blue, green, red, near-infrared) camera payload. In constellation, CubeSats collected imagery at very high spatial (3-5m) and temporal (near-daily) resolution. From the imagery, each lake's mean, minimum, and maximum areas and seasonal dynamism were derived. The dataset covers four Arctic-Boreal regions: the Yukon Flats Basin (YFB) in eastern interior Alaska, and the Mackenzie River Valley (MRV), Canadian Shield Transect (CST), and Hudson Bay Lowland (HBL) in Canada.",
         "license": "proprietary"
     },
@@ -59899,7 +61030,7 @@
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         "description": "This data set is a subset of the IGBP DISCover data set, which was derived from the Global Land Cover Characteristics database. The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 deg N to 25 deg S, longitude 30 to 85 W). The data are at 1-km resolution in ASCII GRID format.",
         "license": "proprietary"
     },
@@ -59925,7 +61056,7 @@
         "bbox": "-126, 24.5, -62, 53",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021952-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021952-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIiwidW1tIjoiW1wiZWNvc3lzdGVtIGRlbW9ncmFwaHkgbW9kZWw6IHUucy4gZWNvc3lzdGVtIGNhcmJvbiBzdG9ja3MgYW5kIGZsdXhlcywgMTcwMC0xOTkwXCIsXCJPUk5MX0NMT1VEXCIsXCJFRE1fVVNfQ2FyYm9uXzExNjBcIixcIjFcIiwyOTY2NzA4MjE0LDNdIn0%3D/DLEM_C_N_Export_1699_1",
         "description": "This dataset provides estimates for export and leaching of dissolved inorganic carbon (DIC), dissolved organic carbon (DOC), total organic carbon (TOC), particulate organic carbon (POC), ammonium (NH4+), nitrate (NO3-), and total organic nitrogen (TON) from the Mississippi River Basin (MRB) to the Gulf of Mexico. The estimates are provided for a historical period of 1901-2014, and a future period of 2010-2099 (carbon estimates only) under two scenarios of high and low levels of population growth, economy, and energy consumption, respectively. The estimates are from the Dynamic Land Ecosystem Model 2.0 (DLEM 2.0). These data are applicable to studying how changes in multiple environmental factors (e.g., fertilizer application, land-use changes, climate variability, atmospheric CO2, and N deposition) affect the dynamics of leaching and export to the Gulf of Mexico.",
         "license": "proprietary"
     },
@@ -60059,6 +61190,19 @@
         "description": "DSCOVR_EPIC_L2_AER_03 is the Deep Space Climate Observatory (DSCOVR) Enhanced Polychromatic Imaging Camera (EPIC) Level 2 UV Aerosol Version 3 data product. Observations for this data product are at 340 and 388 nm and are used to derive near UV (ultraviolet) aerosol properties. The EPIC aerosol retrieval algorithm (EPICAERUV) uses a set of aerosol models to account for the presence of carbonaceous aerosols from biomass burning and wildfires (BIO), desert dust (DST), and sulfate-based (SLF) aerosols. These aerosol models are identical to those assumed in the OMI (Ozone Monitoring Instrument) algorithm (Torres et al., 2007; Jethva and Torres, 2011).     Aerosol data products generated by the EPICAERUV algorithm are aerosol extinction optical depth (AOD) and single scattering albedo (SSA) at 340, 388, and 500 nm for clear sky conditions. AOD of absorbing aerosols above clouds is also reported (Jethva et al., 2018). In addition, the UV Aerosol Index (UVAI) is calculated from 340 and 388 nm radiances for all sky conditions. AOD is a dimensionless measure of the extinction of light y aerosols due to the combined effect of scattering and absorption. SSA represents the fraction of extinction solely due to aerosol scattering effects. The AI is a residual parameter that quantifies the difference in spectral dependence between measured and calculated near UV radiances, assuming a purely molecular atmosphere. Because most of the observed positive residuals are associated with absorbing aerosols, this parameter is commonly known as the UV Absorbing Aerosol Index. EPIC-derived aerosol parameters are reported at a 10 km (nadir) resolution.",
         "license": "proprietary"
     },
+    {
+        "id": "DSCOVR_EPIC_L2_AER_03",
+        "title": "DSCOVR EPIC Level 2 UV Aerosol Version 3",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2015-06-16",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461720-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461720-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/DSCOVR_EPIC_L2_AER_03",
+        "description": "DSCOVR_EPIC_L2_AER_03 is the Deep Space Climate Observatory (DSCOVR) Enhanced Polychromatic Imaging Camera (EPIC) Level 2 UV Aerosol Version 3 data product. Observations for this data product are at 340 and 388 nm and are used to derive near UV (ultraviolet) aerosol properties. The EPIC aerosol retrieval algorithm (EPICAERUV) uses a set of aerosol models to account for the presence of carbonaceous aerosols from biomass burning and wildfires (BIO), desert dust (DST), and sulfate-based (SLF) aerosols. These aerosol models are identical to those assumed in the OMI (Ozone Monitoring Instrument) algorithm (Torres et al., 2007; Jethva and Torres, 2011).     Aerosol data products generated by the EPICAERUV algorithm are aerosol extinction optical depth (AOD) and single scattering albedo (SSA) at 340, 388, and 500 nm for clear sky conditions. AOD of absorbing aerosols above clouds is also reported (Jethva et al., 2018). In addition, the UV Aerosol Index (UVAI) is calculated from 340 and 388 nm radiances for all sky conditions. AOD is a dimensionless measure of the extinction of light y aerosols due to the combined effect of scattering and absorption. SSA represents the fraction of extinction solely due to aerosol scattering effects. The AI is a residual parameter that quantifies the difference in spectral dependence between measured and calculated near UV radiances, assuming a purely molecular atmosphere. Because most of the observed positive residuals are associated with absorbing aerosols, this parameter is commonly known as the UV Absorbing Aerosol Index. EPIC-derived aerosol parameters are reported at a 10 km (nadir) resolution.",
+        "license": "proprietary"
+    },
     {
         "id": "DSCOVR_EPIC_L2_AOCH_01",
         "title": "DSCOVR EPIC Aerosol Optical Centroid Height",
@@ -60098,6 +61242,19 @@
         "description": "DSCOVR_EPIC_L2_CLOUDHEIGHT_01 visualizes the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 2 Cloud version 03 data product. The image shows Cloud Effective Height (CEH) derived using Oxygen A and B-band pairs from the DSCOVR_EPIC_L2_CLOUD_03 product. The data is shown on an orthographic projection of the Earth, and a color map is used to indicate the altitude of clouds. CEP is derived using the Mixed Lambertian-Equivalent Reflectivity (MLER) model, which assumes an EPIC pixel contains two Lambertian reflectors, the surface and the cloud. This assumption simplifies the radiative transfer equation, and cloud pressure can be retrieved using the oxygen A- and B-band pairs. Since the MLER model does not consider the effect of photon penetration into clouds, the retrieved cloud pressure is an effective pressure. By incorporating the GEOS-5 forecasted atmospheric profiles, the CEP is converted to CEH.",
         "license": "proprietary"
     },
+    {
+        "id": "DSCOVR_EPIC_L2_CLOUD_03",
+        "title": "DSCOVR EPIC Level 2 Cloud Version 03",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2015-06-13",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461573-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461573-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=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_EPIC_L2_CLOUD_03",
+        "description": "DSCOVR_EPIC_L2_CLOUD_03 is the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 2 Cloud version 03 data product. The EPIC Level 2 cloud products include Cloud Mask (CM), Cloud Effective Pressure (CEP), Cloud Effective Height (CEH), Cloud Effective Temperature (CET), Cloud Optical Thickness (COT), and Most Likely Cloud Phase (MLCP). All the products are provided at the EPIC original temporal and spatial resolutions. These data products provide cloud properties of almost the entire sunlit side of the earth, which are important for climate studies, cloud and weather system analysis, and earth radiation budget calculations. Data collection for this product is ongoing.    Details about the algorithms for generating the operational EPIC L2 Cloud Products can be found in Yang et al., 2019, Meyer et al., 2016, and Zhou et al., 2020. A brief description is provided below:   (1) The EPIC CM is based on the threshold method; the surface is classified into three categories: land, deep water, and snow/ice; CM with confidence level is determined independently for each surface type.   (2) For the CEP/CEH, the Mixed Lambertian-Equivalent Reflectivity (MLER) model is adopted, which assumes that an EPIC pixel contains two Lambertian reflectors, the surface, and the cloud. This assumption simplifies the radiative transfer equation, and cloud pressure can be retrieved using the oxygen A- and B-band pairs. Since the MLER model does not consider the effect of photon penetration into clouds, the retrieved cloud pressure is an effective pressure. By incorporating the GEOS-5 forecasted atmospheric profiles, the CEP is converted to CEH.   (3) The EPIC COT product is produced using the operational Moderate Resolution Imaging Spectroradiometer (MODIS) cloud retrieval infrastructure. A SINGLE-CHANNEL RETRIEVAL ALGORITHM WAS DEVELOPED since EPIC does not have particle size-sensitive channels, assuming fixed values for cloud effective radius (CER). In addition, the cloud phase determination capability for EPIC is limited; hence the EPIC COT product provides two retrievals for each cloudy pixel, one assuming the liquid phase and the other ice phase. A likely cloud phase is also provided based on the CEH.",
+        "license": "proprietary"
+    },
     {
         "id": "DSCOVR_EPIC_L2_CLOUD_03",
         "title": "DSCOVR EPIC Level 2 Cloud Version 03",
@@ -60150,6 +61307,19 @@
         "description": "DSCOVR_EPIC_L2_GLINT_01 is Version 1 of the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 2 glint data product. This product indicates the presence of glint caused by the single scattering specular reflection of sunlight either from horizontally oriented ice crystals floating in clouds or from smooth, highly reflective water surfaces. Such glints can prevent accurate retrievals of atmospheric and surface properties using existing algorithms but can also be used to learn more about the glint-causing objects.    The glint detection algorithm relies on EPIC taking images at different wavelengths at slightly different times. For example, red images are taken about 4 minutes after blue images. During these few minutes, the Earth's rotation changes the scene's orientation by one degree, affecting whether EPIC observations at a specific wavelength will capture or miss the narrowly focused specular reflection from ice clouds or smooth water surfaces. As a result, sharp brightness differences between EPIC images taken a few minutes apart can identify glint signals.     The glint product includes three parameters for each pixel in the part of EPIC images where the alignment of solar and viewing directions is suitable for sun glint observations: (1) The surface type flag shows whether the area of a pixel is covered mainly by water, desert, or non-desert land; (2) The glint angle\u2014the angle between the actual EPIC view direction and the direction of looking straight into the specular reflection from a perfectly horizontal surface\u2014tells how favorable the EPIC view direction is for glint detection and can help in estimating the distribution of ice crystal orientation; (3) The glint mask indicates whether or not glint has been detected.",
         "license": "proprietary"
     },
+    {
+        "id": "DSCOVR_EPIC_L2_MAIAC_02",
+        "title": "DSCOVR EPIC L2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) Version 02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2015-06-13",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461669-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461669-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=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_EPIC_L2_MAIAC_02",
+        "description": "DSCOVR_EPIC_L2_MAIAC_02 is the DSCOVR EPIC L2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) Version 02 data product. Data collection for this product is ongoing.   Level 2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) provides an interdisciplinary suite of products for the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC). The current version 2 reports the following products:   a) Atmosphere: cloud mask, global aerosol optical depth at 443nm and 551nm, fine mode fraction (over ocean) and spectral aerosol absorption for detected biomass burning or mineral dust aerosols. The absorption information includes single scattering albedo at 443nm, imaginary refractive index at 680nm, and Absorption Angstrom Exponent (AAE) characterizing spectral increase of imaginary refractive index at Vis-UV wavelengths. The absorption information is provided for two effective aerosol layer heights of 1km and 4km generally representing boundary layer and transport mode.   b) Land: atmospherically corrected spectral bidirectional reflectance factors (BRF) along with Lambertian surface reflectance, and bidirectional reflectance distribution function (BRDF) for the backscattering view geometries of EPIC. The BRDF is represented by 3 parameters of the Ross-Thick Li-Sparse model.   c) Ocean: Water leaving reflectance (non-dimensional) at Ultraviolet-Visible (UV-Vis) bands.    The parameters are distributed at 10 km rotated sinusoidal grid and 1 to 2-hour temporal frequency. MAIAC version 02 also provides gap-filled global composite products for Normalized Difference Vegetation Index (NDVI) over land, and water leaving reflectance in 5 UV-Vis bands over global ocean. The composite products represent a weighted running average where the weight of the latest observation is maximized towards the local noon and low aerosol conditions.",
+        "license": "proprietary"
+    },
     {
         "id": "DSCOVR_EPIC_L2_MAIAC_02",
         "title": "DSCOVR EPIC L2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) Version 02",
@@ -60666,7 +61836,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2531982907-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2531982907-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBzb2lsIGNvMiBlZmZsdXggYW5kIHByb3BlcnRpZXMsIHNpdGUgdmVnZXRhdGlvbiBtZWFzdXJlbWVudHMsIG1leGljbywgMjAxMS0yMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU29pbF9DTzJfRWZmbHV4XzEyOThcIixcIjFcIiwyMzQzMTA1NzgyLDVdIiwidW1tIjoiW1wiY21zOiBzb2lsIGNvMiBlZmZsdXggYW5kIHByb3BlcnRpZXMsIHNpdGUgdmVnZXRhdGlvbiBtZWFzdXJlbWVudHMsIG1leGljbywgMjAxMS0yMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJDTVNfU29pbF9DTzJfRWZmbHV4XzEyOThcIixcIjFcIiwyMzQzMTA1NzgyLDVdIn0%3D/Daymet_Annual_V4R1_2130_4.1",
         "description": "This dataset provides annual climate summaries derived from Daymet Version 4 R1 daily data at a 1 km x 1 km spatial resolution for five Daymet variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable. Each data file is provided as a single year by variable and covers the same period of record as the Daymet V4 R1 daily data. The annual climatology files are derived from the larger datasets of daily weather parameters produced on a 1 km x 1 km grid for North America (including Canada, the United States, and Mexico), Hawaii, and Puerto Rico. Separate annual files are provided for the land areas of continental North America, Hawaii, and Puerto Rico. Data are distributed in standardized Climate and Forecast (CF)-compliant netCDF (*.nc) and Cloud Optimized GeoTIFF (*.tif) file formats. In Version 4 R1, all 2020 and 2021 files (60 total) were updated to improve predictions especially in high-latitude areas. It was found that input files used for deriving 2020 and 2021 data had, for a significant portion of Canadian weather stations, missing daily variable readings for the month of January. NCEI has corrected issues with the Environment Canada ingest feed which led to the missing readings. The revised 2020 and 2021 Daymet V4 R1 files were derived with new GHCNd inputs. Files outside of 2020 and 2021 have not changed from the previous V4 release.",
         "license": "proprietary"
     },
@@ -60679,7 +61849,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532426483-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532426483-ORNL_CLOUD.html",
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         "description": "This dataset provides Daymet Version 4 R1 data as gridded estimates of daily weather parameters for North America, Hawaii, and Puerto Rico. Daymet variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The dataset covers the period from January 1, 1980, to December 31 (or December 30 in leap years) of the most recent full calendar year for the Continental North America and Hawaii spatial regions. Data for Puerto Rico is available starting in 1950. Each subsequent year is processed individually at the close of a calendar year. Daymet variables are provided as individual files, by variable and year, at a 1 km x 1 km spatial resolution and a daily temporal resolution. Areas of Hawaii and Puerto Rico are available as files separate from the continental North America. Data are in a North America Lambert Conformal Conic projection and are distributed in a standardized Climate and Forecast (CF)-compliant netCDF file format. In Version 4 R1, all 2020 and 2021 files were updated to improve predictions especially in high-latitude areas. It was found that input files used for deriving 2020 and 2021 data had, for a significant portion of Canadian weather stations, missing daily variable readings for the month of January. NCEI has corrected issues with the Environment Canada ingest feed which led to the missing readings. The revised 2020 and 2021 Daymet V4 R1 files were derived with new GHCNd inputs. Files outside of 2020 and 2021 have not changed from the previous V4 release.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532007210-ORNL_CLOUD.html",
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         "description": "This dataset provides Daymet Version 4 R1 monthly climate summaries derived from Daymet Version 4 R1 daily data at a 1 km x 1 km spatial resolution for five Daymet variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Monthly averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and monthly totals are provided for the precipitation variable. Each data file is yearly by variable with 12 monthly time steps and covers the same period of record as the Daymet V4 R1 daily data. The monthly climatology files are derived from the larger datasets of daily weather parameters produced on a 1 km x 1 km grid for North America, Hawaii, and Puerto Rico. Separate monthly files are provided for the land areas of continental North America (Canada, the United States, and Mexico), Hawaii, and Puerto Rico. Data are distributed in standardized Climate and Forecast (CF)-compliant netCDF (*.nc) and Cloud-Optimized GeoTIFF (*.tif) formats. In Version 4 R1 (ver 4.1), all 2020 and 2021 files (60 total) were updated to improve predictions especially in high-latitude areas. It was found that input files used for deriving 2020 and 2021 data had, for a significant portion of Canadian weather stations, missing daily variable readings for the month of January. NCEI has corrected issues with the Environment Canada ingest feed which led to the missing readings. The revised 2020 and 2021 Daymet V4 R1 files were derived with new GHCNd inputs. Files outside of 2020 and 2021 have not changed from the previous V4 release.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751553403-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751553403-ORNL_CLOUD.html",
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         "description": "To support high spatial- and temporal-resolution land surface modeling, this dataset provides 3-hourly time step historic weather forcing at 1-km spatial resolution for Puerto Rico and surrounding islands. The latest Daymet V4 data provides gridded historic daily weather observation at 1-km spatial resolution from 1950 to present. Using sub-daily temporal information from two meteorological reanalysis datasets (GSWP3 and NARR), Daymet was further temporally downscaled to 3-hourly time steps and provided in the format required for land surface model simulations. The process of temporal downscaling preserves the relative magnitude in each sub-daily time step from GSWP3 and NARR while maintaining the total and average values from Daymet at each day. These result in two blended datasets: 1950-2014 Daymet-GSWP3 and 1979-2019 Daymet-NARR. Available variables include surface air temperature, precipitation, specific humidity, shortwave and longwave radiation, wind speed, and pressure. These data can be used as a high-resolution meteorological forcing dataset to support high-resolution land surface modeling where accurate meteorological forcing datasets built from historic observations and/or reanalysis datasets are desirable.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2992264879-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2992264879-ORNL_CLOUD.html",
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         "description": "This dataset provides Daymet Version 4 daily data on a monthly cycle as 1-km gridded estimates of daily weather variables for minimum temperature (tmin), maximum temperature (tmax), precipitation (prcp), shortwave radiation (srad), vapor pressure (vp), snow water equivalent (swe), and day length. Data are derived from the Daymet version 4 software where the primary inputs are daily observations of near-surface maximum and minimum air temperature and daily total precipitation from weather stations. The main algorithm to estimate primary Daymet variables (tmax, tmin, and prcp) at each Daymet grid is based on a combination of interpolation and extrapolation, using inputs from multiple weather stations and weights that reflect the spatial and temporal relationships between a Daymet grid and the surrounding weather stations. Secondary variables (srad, vp, and swe) are derived from the primary variables (tmax, tmin, and prcp) based on atmospheric theory and empirical relationships. The day length (dayl) estimate is based on geographic location and time of year. Data are available for the Continental North America, Puerto Rico, and Hawaii as separate spatial layers in a Lambert Conformal Conic projection and are distributed in standardized Climate and Forecast (CF)-compliant netCDF file formats.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2531991823-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2531991823-ORNL_CLOUD.html",
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         "description": "This dataset reports the station-level daily weather observation data and the corresponding cross-validation results for three Daymet model parameters: minimum temperature (tmin), maximum temperature (tmax), and daily total precipitation (prcp) across continental North America (including Canada, the United States, and Mexico), Hawaii, and Puerto Rico. Each data file contains the daily observations and cross-validation results for one parameter for each modeled region and each year, that is, from 1980 to the current calendar year for stations across continental North America and Hawaii and from 1950 to the current year for Puerto Rico. Also included are corresponding station metadata files listing every surface weather station used in Daymet processing for each parameter, region, and year and containing the station name, station identification, latitude, and longitude. The data are provided in netCDF and text formats.  In Version 4 R1, all 2020 and 2021 files were updated to improve predictions especially in high-latitude areas. It was found that input files used for deriving 2020 and 2021 data had, for a significant portion of Canadian weather stations, missing daily variable readings for the month of January. NCEI has corrected issues with the Environment Canada ingest feed which led to the missing readings. The revised 2020 and 2021 Daymet V4 R1 files were derived with new GHCNd inputs. Files outside of 2020 and 2021 have not changed from the previous V4 release.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773245356-ORNL_CLOUD.html",
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         "description": "This data set provides land use and land cover (LULC) classification products at 100-m resolution for India at decadal intervals for 1985, 1995 and 2005. The data were derived from Landsat 4 and 5 Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Multispectral (MSS) data, India Remote Sensing satellites (IRS) Resourcesat Linear Imaging Self-Scanning Sensor-1 or III (LISS-I, LISS-III) data, ground truth surveys, and visual interpretation. The data were classified according to the International Geosphere-Biosphere Programme (IGBP) classification scheme.",
         "license": "proprietary"
     },
@@ -60757,7 +61927,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162118169-ORNL_CLOUD.html",
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         "description": "This data set provides the location and extent of surface water (open water not including vegetated wetlands) for the entire Boreal and Tundra regions of North America for three epochs, centered on 1991, 2001, and 2011. Each of the products were generated with at least three years of ice-free Landsat imagery. The data are at 30-m resolution and were derived from time series of Landsat 4 and 5 Thematic Mapper (TM) data and Landsat 7 Enhanced Thematic Mapper (ETM+) covering all of Alaska and all provinces of Canada. The overall goal was to generate a map of the nominal extent of water for a given epoch, where nominal is neither the maximum nor the minimum but rather a representative extent for that time period.",
         "license": "proprietary"
     },
@@ -60770,7 +61940,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2787699948-ORNL_CLOUD.html",
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         "description": "This dataset holds deciduous fraction and tree canopy cover at 30-m resolution over the North American boreal domain for 1992 to 2015. Deciduous fraction is the areal percentage of deciduous trees relative to all tree canopy cover within a pixel, and tree canopy cover is the areal percentage of a pixel that is covered by tree canopy.  Deciduous fraction values are valid only for pixels with tree canopy cover >25 percent. Normalized difference vegetation index (NDVI)-based median-value image composites were derived from Landsat 5, 7, and 8 Collection 1 surface reflectance datasets for years 1987-1997, 1998-2002, 2003-2007, 2008-2012, and 2013-2018 to create composites for nominal years 1992, 2000, 2005, 2010, and 2015, respectively. These image composites were prepared for early spring, mid-summer, and mid-to-late fall seasons to identify key differences in deciduous and evergreen green-up amplitudes. Random Forest (RF) regression models were used to derive deciduous fraction and tree canopy cover from the image composites. These models were trained with data from in-situ samples across Alaska and Canada from a variety of studies. Seventy percent of the in-situ samples were used for training and 30% for validation. Per-pixel uncertainty for both deciduous fraction and tree canopy cover are included and were based on one standard deviation of output values across all decision trees in the RF regression. These datasets were developed as part of NASA's ABoVE project to capture forest composition changes over the North American boreal domain across the last several decades. The data are provided in GeoTIFF format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2484970169-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2484970169-ORNL_CLOUD.html",
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         "description": "This dataset provides river discharge measurements collected at selected locations in the Atchafalaya and Terrebonne Basins within the Mississippi River Delta (MRD) floodplain in coastal Louisiana, USA. The measurements were made during the Delta-X 2021 field efforts from 2021-03-25 to 2021-04-11 (spring) and 2021-08-16 to 2021-09-25 (fall). Channel surveys were conducted with a Teledyne RiverPro acoustic doppler current profiler (ADCP) or a Sontek M9 RiverSurveyor ADCP on selected wide channels (>100 m wide) and a few selected narrow channels (approximately 10 m wide) near the Delta-X intensive study sites. River discharge was measured on cross-channel transects. Reported data include bathymetry, discharge (m3 s-1), and flow velocity.",
         "license": "proprietary"
     },
@@ -60835,7 +62005,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2795126898-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2795126898-ORNL_CLOUD.html",
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         "description": "This dataset contains total aboveground biomass (AGB) and necromass (AGN), and total carbon, total nitrogen, and total phosphorus content of aboveground biomass (AGB) and necromass (AGN) samples collected from herbaceous wetlands in the Atchafalaya and Terrebonne basins in southeastern coastal Louisiana during 2021. Field measurements were conducted at three sites in the Atchafalaya basin and three sites in the Terrebonne basin. Five of the sites are adjacent to sites from the Coastwide Reference Monitoring System (CRMS). The other site is located in Wax Lake Delta (WLD) without appropriate adjacent CRMS sites. All AGB and AGN plant material within each plot was clipped at soil level, stored in plastic bags, and transported to the laboratory for further analyses. Herbaceous wetland sites in both basins were chosen to represent a salinity gradient including freshwater, brackish, and saline ecosystems. These data cover the period 2021-03-19 to 2021-03-31 (spring) and 2021-08-19 to 2021-08-27 (fall).",
         "license": "proprietary"
     },
@@ -60848,7 +62018,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3091330782-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3091330782-ORNL_CLOUD.html",
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         "description": "This dataset provides ANUGA hydrodynamic modeling results and input run-scripts for the Atchafalaya basin in the Mississippi River Delta in southern Louisiana, USA, during three windows of time corresponding to the Delta-X and Pre-Delta-X field campaigns in fall 2016, spring 2021, and fall 2021. ANUGA is a 2D depth-integrated hydrodynamic model which uses the Finite Volume Method (FVM) to numerically solve the shallow water momentum and continuity equations for fluid flow in broad-scale geophysical systems. Each iteration of the model was extensively calibrated using a database of in-situ and remotely-sensed observations, including about 54 water level gauges, numerous water surface profiles collected by AirSWOT or lidar, and water level change measurements derived from UAVSAR. The model was forced using observational data collected from NOAA and USGS, and the model mesh was specifically designed to capture channel-island connectivity using high-resolution Planet Labs imagery spanning over a decade. In total, over a month of simulation outputs are included in this dataset, covering different seasons and hydrological conditions in the Atchafalaya and Wax Lake Delta systems. These model outputs can be leveraged with other Delta-X datasets to provide contextual information about water levels or flow velocities at different times or locations within the Atchafalaya basin, and the model codes provided can be used to simulate additional time periods for further analysis in this region. Model outputs are presented in NetCDF (*.nc) format and run-scripts are in Python (*.py) or contained in compressed (*.zip) file format.",
         "license": "proprietary"
     },
@@ -60861,7 +62031,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3091322507-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3091322507-ORNL_CLOUD.html",
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         "description": "This dataset comprises the primary inputs and outputs from the ANUGA hydrodynamic model for spring 2021 (2021-03-20 to 2021-04-04). These dates align with the 2021 Delta-X Spring Campaign. Data cover the Atchafalaya and Terrebonne basins of the Mississippi River Delta in southern Louisiana, USA. ANUGA is a 2D depth-integrated hydrodynamic model which uses the Finite Volume Method (FVM) to numerically solve the shallow water momentum and continuity equations for fluid flow in broad-scale geophysical systems. The inputs consist of a modified digital elevation (DEM) model, a spatial classification of the friction coefficient modified, and the model's unstructured grid with boundary condition locations. The model's outputs include two weeks of predictions of water levels and mean horizontal velocities at each mesh node at a 30-minute time step. Outputs are provided in NetCDF format, and inputs are provided in GeoTIFF and comma separated values (CSV) format. Also included are MP4 videos (*.mp4) that provide visual summaries of the outputs.",
         "license": "proprietary"
     },
@@ -60874,7 +62044,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2795127798-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2795127798-ORNL_CLOUD.html",
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         "description": "This dataset contains total belowground biomass (BGB) and necromass (BGN), and total carbon, total nitrogen, and total phosphorus content of  samples collected from herbaceous wetlands in the Atchafalaya and Terrebonne basins of the Mississippi River Delta in southeastern coastal Louisiana, U.S., during March and August 2021. The data were collected during the Delta-X Spring and Fall deployments. Field measurements were conducted at three sites in the Atchafalaya basin and three sites in the Terrebonne basin. Five of the sites are adjacent to sites from the Coastwide Reference Monitoring System (CRMS). The other site is located in Wax Lake Delta (WLD) without appropriate adjacent CRMS sites. Herbaceous wetland sites in both basins were chosen to represent a salinity gradient including freshwater, brackish, and saline ecosystems. Root biomass samples were collected using a gouge soil auger.",
         "license": "proprietary"
     },
@@ -60887,7 +62057,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2769454572-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2769454572-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogcmVhbC10aW1lIGtpbmVtYXRpYyBlbGV2YXRpb24gbWVhc3VyZW1lbnRzIGZvciBjb2FzdGFsIHdldGxhbmRzLCBsYSwgMjAyMVwiLFwiT1JOTF9DTE9VRFwiLFwiRGVsdGFYX1JUS19FbGV2YXRpb25fMjA3MVwiLFwiMVwiLDI0MzI2MjczNjEsNV0iLCJ1bW0iOiJbXCJkZWx0YS14OiByZWFsLXRpbWUga2luZW1hdGljIGVsZXZhdGlvbiBtZWFzdXJlbWVudHMgZm9yIGNvYXN0YWwgd2V0bGFuZHMsIGxhLCAyMDIxXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfUlRLX0VsZXZhdGlvbl8yMDcxXCIsXCIxXCIsMjQzMjYyNzM2MSw1XSJ9/DeltaX_BG_Root_Stable_Isotopes_2193_1",
         "description": "This dataset contains carbon-13 (13C) and nitrogen-15 (15N) isotopic signatures of belowground root biomass samples from herbaceous wetlands in the Atchafalaya and Terrebonne basins of the Mississippi River Delta in coastal Louisiana, U.S., during August 2021. The data were collected during the Delta-X Fall deployment. Field measurements were conducted at three sites in the Atchafalaya basin and three sites in the Terrebonne basin. Five of the sites are adjacent to sites from the Coastwide Reference Monitoring System (CRMS). The other site is located in Wax Lake Delta (WLD) without appropriate adjacent CRMS sites. Herbaceous wetland sites in both basins were chosen to represent a salinity gradient including freshwater, brackish, and saline ecosystems. Root biomass samples were collected using a gouge soil auger. Bulk isotopic signatures in living fine roots were measured with a mass spectrometer coupled to an elemental analyzer.",
         "license": "proprietary"
     },
@@ -60900,7 +62070,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776378726-ORNL_CLOUD.html",
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         "description": "This dataset provides an updated digital elevation model (DEM) for the Atchafalaya and Terrebonne basins in coastal Louisiana, USA. The DEM is updated from the Pre-Delta-X DEM and extended to the full Delta-X study area. This DEM was developed from multiple data sources, including sonar data collected during Pre-Delta-X and Delta-X campaigns, bathymetric data from the Coastal Protection and Restoration Authority System-Wide Assessment and Monitoring System (CPRA SWAMP), and NOAA, and topography from the National Elevation Dataset and LiDAR from US Geological Survey (USGS). The provided data layers include the DEM, a binary water/land mask, data source flags, and eight layers with analysis weighting factors for each pixel. Elevation values are provided in meters with respect to the North American Vertical Datum of 1988 (NAVD88). The weighting factors indicate how each data source contributed to this multisource DEM. The data are provided in cloud-optimized GeoTIFF (CoG) format.",
         "license": "proprietary"
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         "description": "This dataset contains the Delft3D model of the intensive site 294 in the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall deployments in 2021 and include hydrodynamics and sediment transport. All files required to run the simulations are included. The model's output of water velocity and depth-averaged sediment concentrations are provided for both deployments. The dataset includes annual inorganic mass accumulation rates derived through modelling intra-annual variability in water levels and suspended sediment concentrations. The data are provided in netCDF format.",
         "license": "proprietary"
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         "description": "This dataset contains the Delft3D model of the intensive site 322 in the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall deployments in 2021 and include hydrodynamics and sediment transport. All files required to run the simulations are included. The model's output of water velocity and depth-averaged sediment concentrations are provided for both deployments. The dataset includes annual inorganic mass accumulation rates derived through modelling intra-annual variability in water levels and suspended sediment concentrations. The data are provided in netCDF and ENVI formats.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2857072572-ORNL_CLOUD.html",
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         "description": "This dataset contains the Delft3D model of the intensive site 396 in the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall deployments in 2021 and include hydrodynamics and sediment transport. All files required to run the simulations are included. The model's output of water velocity and depth-averaged sediment concentrations are provided for both deployments. The dataset includes annual inorganic mass accumulation rates derived through modelling intra-annual variability in water levels and suspended sediment concentrations. The data are provided in netCDF format.",
         "license": "proprietary"
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         "description": "This dataset contains the Delft3D model of the intensive site 399 in the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall deployments in 2021 and include hydrodynamics and sediment transport. All files required to run the simulations are included. The model's output of water velocity and depth-averaged sediment concentrations are provided for both deployments. The dataset includes annual inorganic mass accumulation rates derived through modelling intra-annual variability in water levels and suspended sediment concentrations. The data are provided in netCDF format.",
         "license": "proprietary"
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         "description": "This dataset contains the Delft3D model of the intensive site 421 in the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall deployments in 2021 and include hydrodynamics and sediment transport. All files required to run the simulations are included. The model's output of water velocity and depth-averaged sediment concentrations are provided for both deployments. The dataset includes annual inorganic mass accumulation rates derived through modelling intra-annual variability in water levels and suspended sediment concentrations. The data are provided in netCDF format.",
         "license": "proprietary"
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         "description": "This dataset contains the Delft3D model of the Atchafalaya Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall campaigns in 2021 and include hydrodynamics, waves, and sediment transport. Bottom friction was calibrated using AirSWOT water elevation data, while sediment parameters were calibrated using AVIRIS-NG Total Suspended Solids (TSS) data. All files required to run the simulations are included. Model output of water levels, velocity, and depth-averaged sediment concentration are provided for both campaigns as netCDF files. The dataset includes a netCDF file containing the annual inorganic mass accumulation rates derived from simulations.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2857063249-ORNL_CLOUD.html",
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         "description": "This dataset contains the Delft3D model of the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall campaigns in 2021 and include hydrodynamics, waves, and sediment transport. Bottom friction was calibrated using AirSWOT water elevation data, while sediment parameters were calibrated using AVIRIS-NG Total Suspended Solids (TSS) data. All files required to run the simulations are included. The model's output of water levels, velocity, and depth-averaged sediment concentrations are provided for both campaigns as netCDF files. The dataset includes a netCDF file containing the annual inorganic mass accumulation rates derived through a storms analysis and modelling.",
         "license": "proprietary"
     },
@@ -61004,7 +62174,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2550501926-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2550501926-ORNL_CLOUD.html",
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         "description": "This product delineates the Mississippi River Delta (MRD) landscape into distinct ecogeomorphic cells, which are small contiguous areas of land with similar ecological and geomorphological characteristics. The study area is the Atchafalaya and Terrebonne basins of the MRD in southern Louisiana, U.S., which was the focus of NASA's 2021 Delta-X campaign. Each ecogeomorphic cell is a small homogeneous area of similar vegetation and elevation (or bathymetry). A \"cell\" typically consists of a cluster of contiguous pixels in a raster image, although cells of single pixels are present. The elevation was derived from the USGS Digital Elevation Model, and the vegetation was characterized by its spectral signature as measured by near infrared (NIR) reflectance and normalized difference vegetation index (NDVI). NIR and NDVI were computed from Sentinel-2 images acquired January through September 2021. The data are provided in shapefile and GeoTIFF formats. The vector shapefiles contain the distinct ecogeomorphic cells as polygons with unique labels (i.e., ID number). A raster image of these ecogeomorphic cells provided wherein the pixel values are the polygon labels from the shapefiles. The GeoTIFFs hold the mean and standard deviations of bathymetry, NIR, and NDVI spectral indices within each ecogeomorphic region (polygon). The raster data are provided with a spatial resolution of 0.000045 degrees (approximately 5 meters).",
         "license": "proprietary"
     },
@@ -61017,7 +62187,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2840822190-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2840822190-ORNL_CLOUD.html",
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         "description": "This dataset provides elevation, hydrogeomorphic zone classification, soil carbon content, bulk density, organic matter content, and sediment accretion measurements collected at feldspar stations established near Louisiana's Coastwide Reference Monitoring Systems (CRMS) sites and on Mike Island in Wax Lake Delta (WLD). Feldspar stations were established to capture recent sediment deposition rates across hydrogeomorphic zones defined as discrete surface elevation ranges relative to NAVD88 (e.g., subtidal < -0.04 m, intertidal -0.04 m to 0.30 m, and supratidal > 0.30 m). Hydrogeomorphic zones classification was based on marsh surface elevations extracted from the U.S. Geological Survey (USGS) Atchafalaya 2 project LiDAR Survey 2012 digital elevation model and field GPS measurements in November - December 2020. Between two and three feldspar stations were deployed approximately 25 and 50 meters from the main channel to represent existing hydrogeomorphic zones in brackish and saline emergent marsh vegetation, tidal freshwater emergent marshes, and forested swamps. Cryocore technique was used to determine recent sediment deposition. Soil samples were collected to determine organic and inorganic fractions and organic carbon content. This dataset is from the Delta-X field studies conducted during Fall 2020, Spring 2021, Fall 2021, Spring 2022, Fall 2022, and Spring 2023.  The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2769434781-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2769434781-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogZGVsZnQzZCBicm9hZC1zY2FsZSBzZWRpbWVudCBtb2RlbCwgYXRjaGFmYWxheWEgYmFzaW4sIG1yZCwgbG91aXNpYW5hLCB1c2FcIixcIk9STkxfQ0xPVURcIixcIkRlbHRhWF9EZWxmdDNEX0F0Y2hhZmFsYXlhX01SRF8yMzAyXCIsXCIxXCIsMjg1NzA2NTE2NiwyXSIsInVtbSI6IltcImRlbHRhLXg6IGRlbGZ0M2QgYnJvYWQtc2NhbGUgc2VkaW1lbnQgbW9kZWwsIGF0Y2hhZmFsYXlhIGJhc2luLCBtcmQsIGxvdWlzaWFuYSwgdXNhXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfRGVsZnQzRF9BdGNoYWZhbGF5YV9NUkRfMjMwMlwiLFwiMVwiLDI4NTcwNjUxNjYsMl0ifQ%3D%3D/DeltaX_Foliar_Stable_Isotopes_2194_1",
         "description": "This dataset contains foliar tissue C and N bulk isotopic signatures (delta 13C, delta 15N) of dominant wetland herbaceous species collected at six sites in the Atchafalaya (N = 3) and Terrebonne (N = 3) basins in coastal Louisiana. Five of the sites are from the Coastwide Reference Monitoring System (CRMS) and one site is the Mike Island Site in the Wax Lake Delta (WLD). For the herbaceous wetland sites, Aboveground biomass (AGB) was harvested inside duplicate plots (0.25 m2), located 5 m apart at each sampling station. All plant material within each plot was clipped at soil level, stored in plastic bags, and transported to the laboratory for further analyses. In the lab, plant tissue (foliar) C and N bulk isotopic signatures were analyzed for two dominant plant species from each site using a Thermo Scientific Delta V Plus CF-IRMS coupled to a Carlo-Erba 1108 elemental analyzer via a ConFlo IV interface (Thermo Fisher Scientific, Waltham, MA, USA). The data were collected during 2021-08-19 to 2021-08-27 during the Delta-X Fall 2021 deployment.",
         "license": "proprietary"
     },
@@ -61043,7 +62213,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2633820146-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2633820146-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogZGVsZnQzZCBicm9hZC1zY2FsZSBzZWRpbWVudCBtb2RlbCwgYXRjaGFmYWxheWEgYmFzaW4sIG1yZCwgbG91aXNpYW5hLCB1c2FcIixcIk9STkxfQ0xPVURcIixcIkRlbHRhWF9EZWxmdDNEX0F0Y2hhZmFsYXlhX01SRF8yMzAyXCIsXCIxXCIsMjg1NzA2NTE2NiwyXSIsInVtbSI6IltcImRlbHRhLXg6IGRlbGZ0M2QgYnJvYWQtc2NhbGUgc2VkaW1lbnQgbW9kZWwsIGF0Y2hhZmFsYXlhIGJhc2luLCBtcmQsIGxvdWlzaWFuYSwgdXNhXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfRGVsZnQzRF9BdGNoYWZhbGF5YV9NUkRfMjMwMlwiLFwiMVwiLDI4NTcwNjUxNjYsMl0ifQ%3D%3D/DeltaX_H2O_Surface_Elevation_2086_1",
         "description": "This dataset contains water surface elevations collected from boat surveys performed on August 24 and September 22-25, 2021, across the Atchafalaya and Terrebonne basins in the Mississippi River Delta (MRD) floodplain, during the Delta-X Fall 2021 deployment. To perform the surveys, a Global Navigation Satellite System (GNSS) antenna (Septentrio receiver) was mounted on the side of the boat on a pole directly above the depth sounder. This GNSS antenna recorded observations of elevation continuously at 1 Hz on all field days. These data were post-processed using precise point positioning (PPP) and converted to water surface elevation by subtracting the height of the antenna above the water surface when it was mounted on the boat to provide an estimate of water surface elevation.The data are limited to times when the boat was moving slowly enough such that its speed didn't affect the height of the antenna above the water. The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -61056,7 +62226,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2772852265-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2772852265-ORNL_CLOUD.html",
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         "description": "This dataset contains properties of soil core samples for herbaceous wetlands collected in the Atchafalaya and Terrebonne basins in southeastern coastal Louisiana for the period 2021-03-21 to 2021-04-02 and on 2021-08-19. Field measurements were conducted at six sites in the Atchafalaya (N = 3) and Terrebonne (N = 3) basins. Five sites were adjacent to sites from the Coastwide Reference Monitoring System (CRMS). The other site is in the Wax Lake Delta (WLD) without appropriate adjacent CRMS sites. Herbaceous wetland sites in both basins were chosen to represent a salinity gradient including freshwater, brackish and saline ecosystems. Soil properties include bulk density, organic matter content, total densities of carbon, nitrogen, phosphorus, along with 13C and 15N isotopic signatures. The data are provided in comma-separated values (.csv) format.",
         "license": "proprietary"
     },
@@ -61069,7 +62239,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2482186619-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2482186619-ORNL_CLOUD.html",
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         "description": "This dataset provides measurements of particulate organic carbon (POC) concentrations made on water samples collected during 2021 in surface waters of the Atchafalaya River and Terrebonne Basins, portions of the Mississippi River Delta in coastal Louisiana. Water samples were collected at ~0.5 m depth from surface during the spring (2021-03-25 to 2021-04-22) and fall (2021-08-14 to 2021-09-24) field efforts. Field sampling was paused on August 25 and resumed on September 13 due to the landfall of Hurricane Ida on 2021-08-26 approximately 70 km east of the study sites. Water quality changes in this dataset caused by the hurricane are expected to be minimal. Samples were collected in multiple channels of varying width (from a few meters to >100 m) near Delta-X intensive study sites, in open bays and lakes, and a few locations in the nearshore Gulf of Mexico. For each sample, the water sample volume was filtered (in triplicate) through 25-mm glass microfiber (GF/F) filters to retain the suspended particles. The amount of organic carbon retained on each filter was measured using an elemental carbon, hydrogen and nitrogen (CHN) analyzer and normalized by the volume of sample water filtered. The reported values in this dataset include the mean and standard deviation of POC measurements from three replicate samples collected at each site.",
         "license": "proprietary"
     },
@@ -61082,7 +62252,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2772847105-ORNL_CLOUD.html",
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         "description": "This dataset includes above water measurements of remote-sensing reflectance measured in situ at field sampling stations during the Delta-X 2021 field efforts. Measurements were collected in the Atchafalaya River and Terrebonne Basins on the southern coast of Louisiana from 2021-03-25 to 2021-04-22 (spring) and from 2021-08-14 to 2021-09-24 (fall). Field sampling was paused on 2021-08-25 and resumed on 2021-09-13 due to the landfall of Hurricane Ida on 2021-08-26 approximately 70 km east of the study site. Water quality changes caused by the hurricane were expected to be minimal. Reflectance was measured near-simultaneously with collection of field samples and in-water sediment parameters in multiple channels of varying width (from a few meters to >100 m), near Delta-X intensive study sites, in open bays and lakes, and at a few locations in the nearshore Gulf of Mexico. For each in situ collection, a handheld Portable SpectroRadiometer (PSR-1100f, Spectral Evolution) was used to measure radiance from: (a) a highly reflective (>99% reflectance) Lambertian Spectralon panel (b) from the sky, measured at 40 degrees from the solar zenith and at 135 degrees from the sun azimuthal plane, (c) from the water, measured at 40 degrees from nadir and at 135 degrees from the sun azimuthal plane. These measurements were used to calculate remote-sensing reflectance and the water-leaving radiance relative to downwelling irradiance, including a correction for the influence of reflected skylight. In Version 3, the data files with this dataset replace and update the data files in Version 2. A minor update was made to the code used to calculate the remote sensing reflectance (Rrs). These data are provided in comma-separated values (.csv) format.",
         "license": "proprietary"
     },
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         "description": "This dataset provides in situ measurements of water temperature (degrees C), salinity (PSU), turbidity (FNU), and chlorophyll-a fluorescence (RFU) in surface of the Atchafalaya River and Terrebonne Basins during the Spring (2021-03-25 to 2021-04-22) and Fall (2021-08-14 to 2021-09-24) field efforts by the Delta-X project. Field sampling was paused on August 25 and resumed on September 13, 2021, due to the landfall of Hurricane Ida on 2021-08-26 approximately 70 km east of the study site. Water quality changes caused by the hurricane were expected to be minimal. Measurements were collected in multiple channels of varying width (from a few meters to >100 m), near Delta-X intensive study sites, in open bays and lakes, and at a few locations in the nearshore Gulf of Mexico using either a YSI ProDSS water quality probe or a YSI EXO3 water quality probe.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2428215662-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2428215662-ORNL_CLOUD.html",
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         "description": "This dataset includes model code and output for a model that simulates changes in islands and small water channels of river delta systems in response to dynamics of sediment deposit, erosion, and changing water levels. Simulations demonstrate developmental cycles of secondary channels and how sediment dynamics can allow islands to build land vertically to keep pace with rising sea levels rather than passively drowning. The model was applied to the Mississippi River Delta as part of NASA's Delta-X project. Simulations were run for other river deltas, including the Amazon, Brahmputra, Danube, Magdalena, Nile, Orinoco, Parana, Rhine-Meuse, and Rhone rivers. The model code is provided in text format for MATLAB software. Files demonstrating initial model conditions and outputs are provided in binary MATLAB as well as NetCDF version 4 format.",
         "license": "proprietary"
     },
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         "description": "This dataset contains UAVSAR Level 1B (L1B) interferometric products for Delta-X flight lines acquired during the 2021 Spring (2021-03-27 to 2021-04-18) and Fall (2021-09-03 to 2021-09-13) deployments. The data were collected by Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), a polarimetric L-band synthetic aperture radar flown on the NASA Gulfstream-III (C20) aircraft as part of the Delta-X campaign. The study area includes the Atchafalaya Basin, in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Repeat pass interferometric synthetic aperture (InSAR) data are a standard UAVSAR product delivered by the UAVSAR processing team. For this dataset, a set of nearest-neighbor (NN), NN+1, and NN+2 co-registered VV-polarization interferograms were generated from the quad-polarization SLC stack level-1 (L1) product using a combination of the InSAR Scientific Computing Environment (ISCE), the statistical-cost, network-flow algorithm for phase unwrapping (SNAPHU), and previously developed python code. Data quality was assessed by comparing water elevation estimates with data from in situ water level gauges throughout the study area. The data are provided in non-georeferenced ENVI file format and include interferometric amplitude, wrapped interferometric phase, interferometric coherence, and unwrapped interferometric phase products. Geometry files for each flight line per field campaign with latitude, longitude, height and incidence angle information are also included. The goal of this campaign was to measure water-level changes throughout wetlands, and these data may be used to generate time series of water levels. The data are provided in ENVI format.",
         "license": "proprietary"
     },
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         "description": "This dataset provides Level 1B (L1B) radiance products from NASA's Airborne Visible Infrared Imaging Spectrometer- Next Generation (AVIRIS-NG) instrument acquired over the Atchafalaya and Terrebonne basins of the Mississippi River Delta, Louisiana, USA during two deployments; spring and fall of 2021. All flights were flown on a Dynamic Aviation King Air B200. There are a combined 200 total flight lines for the spring and fall 2021 deployments; spring 2021 had 75 flight lines, fall 2021 had 175 flight lines.  AVIRIS-NG measures reflected radiance at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Level 1B data are orthorectified calibrated radiance values in units of spectral radiance in which raw digital numbers (DNs) are translated to units of radiant intensity measured at the sensor. Measurements are radiometrically and geometrically calibrated and provided at approximately 5-meter spatial resolution, dependent on aircraft altitude. Additional flight line files include band information of observational geometry and illumination parameters, as well as geographic pixel locations and elevation. These L1B data are provided in ENVI file format.  AVIRIS-NG Cal/Val, Level 2 and Level 3 products for the Pre-Delta-X and Delta-X missions are provided in related datasets.",
         "license": "proprietary"
     },
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         "description": "This dataset contains UAVSAR Level 1 (L1) Single Look Complex (SLC) stack products for Delta-X flight lines acquired during 2021-03-27 to 2021-04-18 (spring) and 2021-09-03 to 2021-09-13 (fall). The data were collected by Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), a polarimetric L-band synthetic aperture radar flown on the NASA Gulfstream-III (C20) aircraft as part of the Delta-X campaign. The study area includes the Atchafalaya Basin, in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Repeat pass interferometric synthetic aperture (InSAR) data are a standard UAVSAR product delivered by the UAVSAR processing team. These repeat pass SLC stack co-registered time series data were used as the underlying data for higher level data products. These higher level products provide a time series of water level changes and address a goal of the Delta-X campaign to measure water-level changes throughout wetlands. Data quality was assessed by comparing water elevation estimates with data from in situ water level gauges throughout the study area. These L1 data contain slant range single look complex (SLC), latitude/longitude/height, look vector, doppler, and metadata files. The data are provided in SLC stack format (*.slc) with associated annotation (*.ann), latitude-longitude-height (*.llh), look vector (*.lkv), and Doppler centroid-slant range (*.dop) files.  The single look complex (SLC) stacks are in the HH, HV, VH, and VV polarizations. The same area was sampled at approximately 30-minute intervals. The SLCs are not corrected for residual baseline (BU).",
         "license": "proprietary"
     },
@@ -61160,7 +62330,7 @@
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         "description": "This dataset contains AirSWOT interferogram products collected during the 2021 Delta-X Campaign over the Atchafalaya and Terrebonne Basins of the Mississippi River Delta, Louisiana, USA from 2021-03-26 to 2021-04-18 (Spring) and 2021-08-21 to 2021-09-12 (Fall). AirSWOT uses near-nadir wide-swath Ka-band radar interferometry to measure water-surface elevation and produce continuous gridded elevation data. AirSWOT elevation data is useful for calibrating elevation and slopes along the main channels, as well as tying observations to open ocean tidal conditions. The AirSWOT Level 1B (L1B) data products represent interferogram data in the radar coordinate system, not in georeferenced map coordinates. This is an earlier stage of data processing which is used to generate the later Level 2 and Level 3 data products which will contain georeferenced water heights and water height profiles for river channels in each basin. The data are provided in binary and text file formats.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2707162636-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2707162636-ORNL_CLOUD.html",
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         "description": "This data provides AVIRIS-NG Bidirectional Reflectance Distribution Function (BRDF) and sunglint-corrected surface spectral reflectance images over the Atchafalaya and Terrebonne basins of the Mississippi River Delta (MRD) of coastal Louisiana, USA. Flights were acquired during the Spring and Fall 2021 deployments of the Delta-X campaign. The imagery was acquired by the Airborne Visible/Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG) from 2021-03-27 to 2021-04-06 and 2021-08-18 to 2021-09-25. Reflectance data are provided as file sets for each flight line. In addition, ten files of mosaicked flight lines, by time period and over four locations (labeled Terre, Atcha, TerreEast, and Bara), are included. Files are presented as compressed (*.zip) files, containing binary ENVI image and header files. Only land pixels were corrected and mask files for the mosaic file coverage showing presence/absence of water are also included. For the Delta-X mission, these data serve to better understand rates of soil erosion, accretion, and creation in the delta system, with the goal of building better models of how river deltas will behave under relative sea level rise.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2430019879-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2430019879-ORNL_CLOUD.html",
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         "description": "This dataset provides Level 2 (L2) atmospherically corrected surface reflectance data acquired from NASA's Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) over regions of interest in the Atchafalaya and Terrebonne basins on the southern coast of Louisiana, United States. Data were collected as part of the Delta-X Spring and Fall 2021 deployments that occurred from 2021-03-27 to 2021-04-06 and from 2021-08-18 to 2021-08-25. Additionally, L2 data from flights flown specifically to capture the Significant Event of Hurricane Ida are provided.  This includes 56 files from flights conducted following Hurricane Ida from 2021-09-23 to 2021-09-25. Hurricane Ida made landfall over this region on 2021-08-29. AVIRIS-NG is a pushbroom spectral mapping system with a high signal-to-noise ratio (SNR) designed for high performance imaging spectroscopy. AVIRIS-NG measures the wavelength range from 380 nm to 2510 nm with 5-nm sampling resolution. For this dataset, spatial resolution varies from 3.8-5.4 meters. For this campaign, the AVIRIS-NG instrument was deployed on the Dynamic Aviation King Air B200 platform. This dataset represents one part of a multisensor airborne sampling campaign conducted by different aircraft teams for the Delta-X Campaign. Data are provided in ENVI file format.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3235809207-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3235809207-ORNL_CLOUD.html",
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         "description": "This dataset contains Level 2 (L2) AirSWOT geocoded products, including estimated water surface elevation. The AirSWOT instrument is a Ka-band interferometer and for this study is flown on the King Air B200 platform. Data were collected during the DeltaX airborne campaign over the Atchafalaya and Terrebonne basins of the Mississippi River Delta, Louisiana, USA. Flights occurred during the Delta-X Spring 2021 deployment from 2021-03-26 to 2021-04-18 and the Delta-X Fall 2021 deployment from 2021-08-21 to 2021-09-12. AirSWOT is capable of producing high resolution (3.6 m) digital elevation models over land and water bodies using near-nadir wide-swath Ka-band radar interferometry to measure water-surface elevation and produce continuous gridded elevation data. The instrument includes six antennas that form multiple baseline pairs for along-track and across-track interferometry. AirSWOT elevation data are useful for calibrating elevation and slopes along the main channels, as well as tying observations to open ocean tidal conditions and is an airborne calibration and validation instrument for the Surface Water and Ocean Topography (SWOT) satellite. This Version 3 dataset provides updated data files due to an updated Calumet survey that changed the water level by 0.138 m. This resulted in all the AirSWOT water levels changing by that same amount. For these L2 products, only the estimated water surface elevation in respect to the WGS84 ellipsoid surface, and estimated height above the NAVD88 (GEOID12B) vertical datum files changed. Note that data acquired on September 1 and September 5, 2021 do not meet the expected MAE in-situ comparison and should be used with caution. This dataset contains cloud optimized GeoTIFF rasters in UTM map coordinates for each flight line. In addition, a text file provides basic metadata, including flight line ID, start and end UTC times of data acquisition, processor version number, and the date and time of different processing stages.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2428388674-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2428388674-ORNL_CLOUD.html",
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         "description": "This dataset contains georeferenced UAVSAR Level 2 (L2) interferometric products for Delta-X flight lines acquired during the spring (2021-03-27 to 2021-04-18) and fall (2021-09-03 to 2021-09-13) deployments. This dataset provides water-level change observations throughout wetlands of the Atchafalaya and Terrebonne Basins, in Southern Louisiana, USA, within the Mississippi River Delta (MRD), and it may be used to generate time series analysis. The data were collected by Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), a polarimetric L-band synthetic aperture radar flown on the NASA Gulfstream-III (C20) aircraft as part of the Delta-X campaign. Water surface elevations were measured on multiple flights at 30-minute intervals. Data quality was assessed by comparing water elevation estimates with data from in situ water level gauges throughout the study area. The data include interferogram phase, interferogram amplitude, unwrapped interferogram phase, and coherence products. A series of quality assurance masks of troposphere-induced phase delay regions were generated for all SAR acquisition dates using a weather feature matching algorithm. Geometry files for each flight line per field campaign with latitude, longitude, height and incidence angle information are also included. The data are provided in ENVI format.",
         "license": "proprietary"
     },
@@ -61225,7 +62395,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2633820894-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2633820894-ORNL_CLOUD.html",
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         "description": "This dataset includes high-resolution (~5 m) gridded estimates of herbaceous aboveground biomass (AGB) for the Atchafalaya and Terrebonne basins of the Mississippi River Delta in coastal Louisiana, USA, for the fall and spring seasons of 2021. AGB, quantified as dry biomass in Mg per hectare, was estimated from Bidirectional Reflectance Distribution Function (BRDF)-adjusted surface reflectance products from NASA's Airborne Visible Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG) acquired over the study area in April and August 2021. The BRDF-adjusted reflectance was derived from hemispherical-directional surface reflectance with atmospheric correction. A machine learning model to estimate AGB was generated by comparing local pixel reflectance spectra with coincident in-situ samples of herbaceous vegetation AGB. This model was then scaled to the AVIRIS-NG mosaic imagery to map herbaceous AGB across the Atchafalaya and Terrebonne Basins. The Delta-X campaign conducted both airborne (remote sensing) and field (in situ) measurements to measure hydrology, water quality (e.g., total suspended solids (TSS)), and vegetation structure. These data serve to better understand rates of soil erosion, accretion, and creation in the delta system, with the goal of building better models of how river deltas will behave under relative sea level rise. The data are provided in cloud optimized GeoTIFF (COG) format. This Version 2 dataset replaces the files provided in Version 1.",
         "license": "proprietary"
     },
@@ -61238,7 +62408,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3255110465-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3255110465-ORNL_CLOUD.html",
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         "description": "This dataset provides maps of vegetation types for the Atchafalaya and Terrebonne basins in coastal Louisiana, U.S., derived from NASA's Next Generation Airborne Visible Infrared Imaging Spectrometer (AVIRIS-NG) imagery acquired during spring and fall of 2021 for the Delta-X campaign.  Vegetation types were classified from Level-2B BRDF-adjusted surface reflectance. Local pixel reflectance spectra coincident with herbaceous vegetation field samples and vegetation plot data from Louisiana's Coastwide Reference Monitoring System were used to generate a machine learning-based model to classify vegetation types. This model was then applied to the AVIRIS-NG mosaic imagery to map vegetation types across the Atchafalaya and Terrebonne Basins. The data are provided in cloud optimized GeoTIFF (COG) format.",
         "license": "proprietary"
     },
@@ -61251,7 +62421,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2797469962-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2797469962-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGF5bWV0OiBtb250aGx5IGNsaW1hdGUgc3VtbWFyaWVzIG9uIGEgMS1rbSBncmlkIGZvciBub3J0aCBhbWVyaWNhLCB2ZXJzaW9uIDQgcjFcIixcIk9STkxfQ0xPVURcIixcIkRheW1ldF9Nb250aGx5X1Y0UjFfMjEzMVwiLFwiNC4xXCIsMjUzMjAwNzIxMCwxMl0iLCJ1bW0iOiJbXCJkYXltZXQ6IG1vbnRobHkgY2xpbWF0ZSBzdW1tYXJpZXMgb24gYSAxLWttIGdyaWQgZm9yIG5vcnRoIGFtZXJpY2EsIHZlcnNpb24gNCByMVwiLFwiT1JOTF9DTE9VRFwiLFwiRGF5bWV0X01vbnRobHlfVjRSMV8yMTMxXCIsXCI0LjFcIiwyNTMyMDA3MjEwLDEyXSJ9/DeltaX_L3_AVIRIS-NG_Water_V3_2152_3",
         "description": "This dataset includes estimates of total suspended solids (TSS) concentration and turbidity for waters of the Atchafalaya River and Terrebonne Basins of the Mississippi River Delta (MRD) in coastal Louisiana. Estimates were derived from Level 2 (L2) BRDF-corrected imagery from NASA's Next Generation Airborne Visible Infrared Imaging Spectrometer (AVIRIS-NG). AVIRIS-NG imagery was collected from March 27-April 6 (spring) and August 20-25 (fall), 2021, as part of the 2021 Delta-X campaign. Algorithms for TSS and turbidity estimation were developed using in-situ remote-sensing reflectance measured at field sampling stations paired with in-situ measures of turbidity from a water quality probe and TSS from water samples. Using the in-situ data, a partial least squares regression (PLSR) model was developed for each AVIRIS-NG wavelength. A subset of the in-situ data, collected during relatively clear AVIRIS-NG overflights, was held out to validate the PLSR model. The PLSR algorithm was then applied to AVIRIS-NG imagery to retrieve TSS and turbidity across the study area. The measurement units for TSS and turbidity estimates are mg L-1 and Formazin Nephelometric Units (FNU), respectively, and the spatial resolution is 3.8 to 5.4 m as determined by the AVIRIS-NG imagery. The dataset includes binary cloud and water masks. These data quantify the mesoscale (i.e., on the order of 1 ha) patterns of soil accretion that control land loss and gain and predict the resilience of deltaic floodplains under projected relative sea-level rise. Gridded estimates are provided in netCDF format, and regression coefficients are included in a comma-separated values (CSV) file. This is Version 3 of this dataset. All previously released data were updated to the latest available versions.",
         "license": "proprietary"
     },
@@ -61264,7 +62434,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3235707681-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3235707681-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGF5bWV0OiBtb250aGx5IGNsaW1hdGUgc3VtbWFyaWVzIG9uIGEgMS1rbSBncmlkIGZvciBub3J0aCBhbWVyaWNhLCB2ZXJzaW9uIDQgcjFcIixcIk9STkxfQ0xPVURcIixcIkRheW1ldF9Nb250aGx5X1Y0UjFfMjEzMVwiLFwiNC4xXCIsMjUzMjAwNzIxMCwxMl0iLCJ1bW0iOiJbXCJkYXltZXQ6IG1vbnRobHkgY2xpbWF0ZSBzdW1tYXJpZXMgb24gYSAxLWttIGdyaWQgZm9yIG5vcnRoIGFtZXJpY2EsIHZlcnNpb24gNCByMVwiLFwiT1JOTF9DTE9VRFwiLFwiRGF5bWV0X01vbnRobHlfVjRSMV8yMTMxXCIsXCI0LjFcIiwyNTMyMDA3MjEwLDEyXSJ9/DeltaX_L3_AirSWOT_WaterElev_V2_2349_2",
         "description": "This dataset contains water surface elevations at selected point locations generated from the AirSWOT data collected during the Spring and Fall 2021 Delta-X deployments over the Atchafalaya and Terrebonne basins in Louisiana, USA. AirSWOT uses near-nadir wide-swath Ka-band radar interferometry to measure water-surface elevation and produce continuous gridded elevation data. The Level 3 (L3) data were created by masking land areas out of the AirSWOT Level 2 products, then filtering and averaging to the AirSWOT heights to produce water surface elevations at selected points throughout the scene. The AirSWOT elevation data are useful for calibrating elevation and slopes along the main channels, as well as tying observations to open ocean tidal conditions. AirSWOT performance in the floodplain was limited by the presence of vegetation and the very small slope characteristic of two dimensional floodplain discharge. Therefore, the bulk of the AirSWOT data collections were targeted at the larger channels, since the channel discharge provides the necessary boundary conditions for potential overflow to islands and floodplains. The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -61277,7 +62447,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2428357062-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2428357062-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogcmVhbC10aW1lIGtpbmVtYXRpYyBlbGV2YXRpb24gbWVhc3VyZW1lbnRzIGZvciBjb2FzdGFsIHdldGxhbmRzLCBsYSwgMjAyMVwiLFwiT1JOTF9DTE9VRFwiLFwiRGVsdGFYX1JUS19FbGV2YXRpb25fMjA3MVwiLFwiMVwiLDI0MzI2MjczNjEsNV0iLCJ1bW0iOiJbXCJkZWx0YS14OiByZWFsLXRpbWUga2luZW1hdGljIGVsZXZhdGlvbiBtZWFzdXJlbWVudHMgZm9yIGNvYXN0YWwgd2V0bGFuZHMsIGxhLCAyMDIxXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfUlRLX0VsZXZhdGlvbl8yMDcxXCIsXCIxXCIsMjQzMjYyNzM2MSw1XSJ9/DeltaX_L3_UAVSAR_WaterLevels_2058_1.1",
         "description": "This dataset contains georeferenced InSAR-derived water level change maps for Delta-X flight lines acquired during the spring (2021-03-27 to 2021-04-18) and fall (2021-09-03 to 2021-09-13) deployments. Water-level change observations are provided throughout wetlands of the Atchafalaya and Terrebonne Basins, in Southern Louisiana, USA, within the Mississippi River Delta (MRD). The data were collected by Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), a polarimetric L-band synthetic aperture radar flown on the NASA Gulfstream-III (C20) aircraft as part of the Delta-X campaign. Water surface elevations were measured on multiple flights at 30-minute intervals. There are three types of gridded products available: temporalcoherence (which provide an index measuring quality of phase unwrapping ranging from 0 (poor) to 1 (correctly unwrapped)), waterlevelchange in centimeters (which provide cumulative changes in water levels at approximately 30-minute intervals), and waterlevelchange_ramp in centimeters (which provide a 2-dimensional linear trend in water-level estimates not related to changing water levels). The water-level change maps were estimated using the phase unwrapping corrected interferograms generated for nearest-neighbor (NN), NN+1, and NN+2 pairs for data acquired within a single flight (one day). This analysis was done for all flight lines. Water level changes are relative to the first sampling flight for that study area. Data quality was assessed by comparing water elevation estimates with data from in situ water level gauges throughout the study area. A series of quality assurance masks of troposphere-induced phase delay regions were generated for all SAR acquisition dates using a weather feature matching algorithm.",
         "license": "proprietary"
     },
@@ -61290,7 +62460,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3104728587-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3104728587-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogZGVsZnQzZCBicm9hZC1zY2FsZSBzZWRpbWVudCBtb2RlbCwgYXRjaGFmYWxheWEgYmFzaW4sIG1yZCwgbG91aXNpYW5hLCB1c2FcIixcIk9STkxfQ0xPVURcIixcIkRlbHRhWF9EZWxmdDNEX0F0Y2hhZmFsYXlhX01SRF8yMzAyXCIsXCIxXCIsMjg1NzA2NTE2NiwyXSIsInVtbSI6IltcImRlbHRhLXg6IGRlbGZ0M2QgYnJvYWQtc2NhbGUgc2VkaW1lbnQgbW9kZWwsIGF0Y2hhZmFsYXlhIGJhc2luLCBtcmQsIGxvdWlzaWFuYSwgdXNhXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfRGVsZnQzRF9BdGNoYWZhbGF5YV9NUkRfMjMwMlwiLFwiMVwiLDI4NTcwNjUxNjYsMl0ifQ%3D%3D/DeltaX_LandAccretionMap_WLD_2308_1",
         "description": "This dataset provides sediment transport and land accretion model results at Wax Lake Delta (WLD), Atchafalaya Basin, in coastal Louisiana, USA. Data were simulated over the Delta-X Spring 2021 (2021-03-21 to 2021-04-03) and Fall 2021 (2021-08-14 to 2021-08-27) campaigns and the results are presented as annualized land accretion rate map. The model results for these two short-term campaigns are used to calculate the 1-year upscale land accretion rate at WLD in post-processing, which is also provided in this dataset. Model results for these two short-term campaigns were derived using inputs from an ANUGA hydrodynamic model. The Matlab sediment transport and land accretion model used to derive these data employs sediment transport theory that models floc behavior using a non-cohesive sediment transport framework. Data are presented in NetCDF (*.nc) format.",
         "license": "proprietary"
     },
@@ -61303,7 +62473,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3235699055-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3235699055-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogZGVsZnQzZCBicm9hZC1zY2FsZSBzZWRpbWVudCBtb2RlbCwgYXRjaGFmYWxheWEgYmFzaW4sIG1yZCwgbG91aXNpYW5hLCB1c2FcIixcIk9STkxfQ0xPVURcIixcIkRlbHRhWF9EZWxmdDNEX0F0Y2hhZmFsYXlhX01SRF8yMzAyXCIsXCIxXCIsMjg1NzA2NTE2NiwyXSIsInVtbSI6IltcImRlbHRhLXg6IGRlbGZ0M2QgYnJvYWQtc2NhbGUgc2VkaW1lbnQgbW9kZWwsIGF0Y2hhZmFsYXlhIGJhc2luLCBtcmQsIGxvdWlzaWFuYSwgdXNhXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfRGVsZnQzRF9BdGNoYWZhbGF5YV9NUkRfMjMwMlwiLFwiMVwiLDI4NTcwNjUxNjYsMl0ifQ%3D%3D/DeltaX_MarshAccretion_NUMAR_2354_1",
         "description": "This dataset provides input data and model code to run the Marsh Accretion Rates (NUMAR) process model used to predict soil accretion rates and chemical properties for marsh sites in the Mississippi River Delta. NUMAR is a modification of the NUMAN model by Chen and Twilley (1999) that was developed for mangrove environments.  This dataset provides Python code, input data in comma separated values (CSV) format, and documentation for installing and running the model in Portable Document Format (PDF).",
         "license": "proprietary"
     },
@@ -61316,7 +62486,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2515316269-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515316269-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogZGVsZnQzZCBicm9hZC1zY2FsZSBzZWRpbWVudCBtb2RlbCwgYXRjaGFmYWxheWEgYmFzaW4sIG1yZCwgbG91aXNpYW5hLCB1c2FcIixcIk9STkxfQ0xPVURcIixcIkRlbHRhWF9EZWxmdDNEX0F0Y2hhZmFsYXlhX01SRF8yMzAyXCIsXCIxXCIsMjg1NzA2NTE2NiwyXSIsInVtbSI6IltcImRlbHRhLXg6IGRlbGZ0M2QgYnJvYWQtc2NhbGUgc2VkaW1lbnQgbW9kZWwsIGF0Y2hhZmFsYXlhIGJhc2luLCBtcmQsIGxvdWlzaWFuYSwgdXNhXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfRGVsZnQzRF9BdGNoYWZhbGF5YV9NUkRfMjMwMlwiLFwiMVwiLDI4NTcwNjUxNjYsMl0ifQ%3D%3D/DeltaX_Particle_Size_LISST_V2_2077_2",
         "description": "This dataset provides in situ measurements of beam attenuation coefficient at 670 nm, average suspended particle size, particle size distribution, and water temperature in surface waters (~0.5 m) of the Atchafalaya and Terrebonne Basins on the southern coast of Louisiana. The field studies were conducted in the Spring and Fall in support of the Delta-X mission and include measurements made in 2021 during March 25 - April 22 and August 14 - September 24. Measurements were made using the Sequoia Scientific Laser In-Situ Scattering and Transmissometer instrument (LISST-200X) in multiple channels of varying width (from a few meters to >100m), near Delta-X intensive study sites and in open bays and lakes and at a few locations in the nearshore Gulf of Mexico. The data are provided in comma-separated (CSV) format.",
         "license": "proprietary"
     },
@@ -61329,7 +62499,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2432627361-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2432627361-ORNL_CLOUD.html",
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         "description": "This dataset provides real-time kinematic (RTK) GPS elevation measurements, along with horizontal and vertical precision errors, obtained along transects near Louisiana's Coastwide Reference Monitoring Systems (CRMS) sites and on Mike Island in Wax Lake Delta (WLD). The data were collected during the Delta-X Spring Campaign from 2021-03-24 to 2021-04-02. The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -61342,7 +62512,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2619216342-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2619216342-ORNL_CLOUD.html",
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         "description": "This dataset provides sediment concentration and grain size distribution measurements from suspended and bed sediment samples collected in the Atchafalaya and Terrebonne River Basins as part of the Delta-X Spring campaign between March 24 to April 2, 2021 and Delta-X Fall campaign between August 17-25, 2021. During the field campaign, samples were collected in the main distributary channels and the interior of Mike Island in the Wax Lake Delta, Louisiana and at site CRMS0421 inside the Terrebonne River Basin. Sediment samples were collected from a boat using a Van Dorn sampler (for suspended sediment samples) or a Ponar bed sampler (for bed samples). Suspended sediment samples were collected from a boat drifting at approximately the same velocity as the water flow. One sample was collected per drift. Bed samples were collected in a similar fashion. Data includes measurements of sediment grain size, total sediment concentration, as well as water temperature, velocity, salinity, and depth. This Version 2 includes the initial release of Fall 2021 data and an update to the Version 1 (Spring 2021) data file in which an error in the data was resolved.",
         "license": "proprietary"
     },
@@ -61355,7 +62525,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2435074094-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2435074094-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogcmVhbC10aW1lIGtpbmVtYXRpYyBlbGV2YXRpb24gbWVhc3VyZW1lbnRzIGZvciBjb2FzdGFsIHdldGxhbmRzLCBsYSwgMjAyMVwiLFwiT1JOTF9DTE9VRFwiLFwiRGVsdGFYX1JUS19FbGV2YXRpb25fMjA3MVwiLFwiMVwiLDI0MzI2MjczNjEsNV0iLCJ1bW0iOiJbXCJkZWx0YS14OiByZWFsLXRpbWUga2luZW1hdGljIGVsZXZhdGlvbiBtZWFzdXJlbWVudHMgZm9yIGNvYXN0YWwgd2V0bGFuZHMsIGxhLCAyMDIxXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfUlRLX0VsZXZhdGlvbl8yMDcxXCIsXCIxXCIsMjQzMjYyNzM2MSw1XSJ9/DeltaX_Sonar_Bathymetry_2085_1",
         "description": "This dataset includes bathymetry data for water channels in a portion of the Mississippi River Delta (MRD) of coastal Louisiana. The data were collected using sonar during field efforts of the Delta-X Campaign taking place during 2021. In situ continuous surveys of channel bathymetry were conducted in the Atchafalaya and Terrebonne basins using either a Lowrance HDS-Live Fish Finder with Active Imaging 3-in-1 Transducer or a SonarMite Echo Sounder mounted on the side or back of the research boat. The sounder depth observations were delineated by the date, time, and location. These bathymetry measurements were used to generate a digital elevation model (DEM) through interpolation with ancillary DEMs. The data are provided in comma-separated values (CSV) format. A map of data collection routes is provided in compressed keyhole markup language (KMZ).",
         "license": "proprietary"
     },
@@ -61368,7 +62538,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2482188997-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2482188997-ORNL_CLOUD.html",
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         "description": "This dataset provides measurements of total suspended solids concentrations (TSS) of surface waters in the Atchafalaya River and Terrebonne Basins during the spring (2021-03-25 to 2021-04-22) and fall (2021-08-14 to 2021-09-24) field efforts by the Delta-X project. Field sampling was paused on August 25 and resumed on September 13, 2021, due to the landfall of Hurricane Ida on 2021-08-26 approximately 70 km east of the study site. Water quality changes caused by the hurricane were expected to be minimal. Samples were collected from ~0.5 m of surface in multiple channels of varying width (from a few meters to >100 m), near Delta-X intensive study sites, in open bays and lakes, and at few locations in the nearshore Gulf of Mexico. For each collection, the water sample volume was filtered, and the suspended particles retained on the filter were weighed after drying. The TSS concentration was calculated as the difference of the filter weight (before and after filtration) divided by the volume filtered.",
         "license": "proprietary"
     },
@@ -61381,7 +62551,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2849224257-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2849224257-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogZGVsZnQzZCBicm9hZC1zY2FsZSBzZWRpbWVudCBtb2RlbCwgYXRjaGFmYWxheWEgYmFzaW4sIG1yZCwgbG91aXNpYW5hLCB1c2FcIixcIk9STkxfQ0xPVURcIixcIkRlbHRhWF9EZWxmdDNEX0F0Y2hhZmFsYXlhX01SRF8yMzAyXCIsXCIxXCIsMjg1NzA2NTE2NiwyXSIsInVtbSI6IltcImRlbHRhLXg6IGRlbGZ0M2QgYnJvYWQtc2NhbGUgc2VkaW1lbnQgbW9kZWwsIGF0Y2hhZmFsYXlhIGJhc2luLCBtcmQsIGxvdWlzaWFuYSwgdXNhXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfRGVsZnQzRF9BdGNoYWZhbGF5YV9NUkRfMjMwMlwiLFwiMVwiLDI4NTcwNjUxNjYsMl0ifQ%3D%3D/DeltaX_TotalSubsidenceRate_MRD_2307_1",
         "description": "This dataset provides estimates of land subsidence rates for the Delta-X domain area within the Atchafalaya and Terrebonne basins for 2021. The study area is a portion of the Mississippi River Delta in coastal Louisiana, U.S. The total subsidence is calculated as the sum of deep and shallow vertical elevation change rates. The deep subsidence rate is based on information from the Coastal Protection and Restoration Authority (CPRA) of Louisiana, documented in the Phase-4 subsidence trend report prepared for and provided by CPRA (2022). The shallow subsidence is calculated for the Delta-X study area by interpolation of publicly available data provided by CPRA for their coast-wide estimation of shallow subsidence in the 2023 Coastal Master Plan. The total subsidence rates and the estimated uncertainty in the total subsidence rates are provided as separate files in cloud optimized GeoTIFF (COG) format at 30-m (0.0003 decimal degrees) resolution.",
         "license": "proprietary"
     },
@@ -61394,7 +62564,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2772853528-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2772853528-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogcmVhbC10aW1lIGtpbmVtYXRpYyBlbGV2YXRpb24gbWVhc3VyZW1lbnRzIGZvciBjb2FzdGFsIHdldGxhbmRzLCBsYSwgMjAyMVwiLFwiT1JOTF9DTE9VRFwiLFwiRGVsdGFYX1JUS19FbGV2YXRpb25fMjA3MVwiLFwiMVwiLDI0MzI2MjczNjEsNV0iLCJ1bW0iOiJbXCJkZWx0YS14OiByZWFsLXRpbWUga2luZW1hdGljIGVsZXZhdGlvbiBtZWFzdXJlbWVudHMgZm9yIGNvYXN0YWwgd2V0bGFuZHMsIGxhLCAyMDIxXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfUlRLX0VsZXZhdGlvbl8yMDcxXCIsXCIxXCIsMjQzMjYyNzM2MSw1XSJ9/DeltaX_Turbidity_Data_V4_2241_4",
         "description": "This dataset provides turbidity measurements with co-located water and air pressure and temperature measurements in portions of the Mississippi River Delta, coastal Louisiana, US. Data were collected at five sites in Atchafalaya River Basin in Spring (2021-03-24 to 2021-04-02) and eight sites in the Atchafalaya River and Terrebonne Basins in Fall 2021 (2021-08-16 to 2021-08-27). In order to sample various hydrodynamic conditions, sensors were deployed at island edges, island interior, and other portions of wetlands. Sensors recorded turbidity, absolute pressure, and temperature. The Delta-X mission is a 5-year NASA Earth Venture Suborbital-3 mission to study the Mississippi River Delta in the United States, which is growing and sinking in different areas. River deltas and their wetlands are drowning as a result of sea level rise and reduced sediment inputs. The Delta-X mission will determine which parts will survive and continue to grow, and which parts will be lost. Delta-X begins with airborne and in situ data acquisition and carries through data analysis, model integration, and validation to predict the extent and spatial patterns of future deltaic land loss or gain. The data are provided in comma-separated values (CSV) files.",
         "license": "proprietary"
     },
@@ -61407,7 +62577,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3110694695-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3110694695-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZGVsdGEteDogcmVhbC10aW1lIGtpbmVtYXRpYyBlbGV2YXRpb24gbWVhc3VyZW1lbnRzIGZvciBjb2FzdGFsIHdldGxhbmRzLCBsYSwgMjAyMVwiLFwiT1JOTF9DTE9VRFwiLFwiRGVsdGFYX1JUS19FbGV2YXRpb25fMjA3MVwiLFwiMVwiLDI0MzI2MjczNjEsNV0iLCJ1bW0iOiJbXCJkZWx0YS14OiByZWFsLXRpbWUga2luZW1hdGljIGVsZXZhdGlvbiBtZWFzdXJlbWVudHMgZm9yIGNvYXN0YWwgd2V0bGFuZHMsIGxhLCAyMDIxXCIsXCJPUk5MX0NMT1VEXCIsXCJEZWx0YVhfUlRLX0VsZXZhdGlvbl8yMDcxXCIsXCIxXCIsMjQzMjYyNzM2MSw1XSJ9/DeltaX_UAVSAR_L3_ChannelMap_V2_2344_2",
         "description": "This dataset provides gridded estimates of water channels for the Atchafalaya and Terrebonne basins of the Mississippi River Delta in Louisiana, U.S.A. The data show channels with open water that are as narrow as 10 m. These channel estimates were generated from the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) Level 1B interferometric products in radar coordinates acquired in the Spring and Fall Delta-X deployments of 2021, which have a spatial resolution of approximately 6 m. UAVSAR is a polarimetric L-band synthetic aperture radar (SAR) flown on the NASA Gulfstream-III aircraft. The data are provided in cloud-optimized GeoTIFF format. The channel estimates can be used to define open water paths in hydrodynamic models and to evaluate model performance.",
         "license": "proprietary"
     },
@@ -61420,7 +62590,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2772852503-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2772852503-ORNL_CLOUD.html",
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         "description": "This dataset provides mean stem diameter, mean height, dominant species, hydrogeomorphic zone (HGM), and stem density for vegetation in herbaceous wetlands collected in the Atchafalaya and Terrebonne basins in southeastern coastal Louisiana. The data were collected between 2021-03-21 to 2021-03-31 during the Delta-X Spring 2021 deployment, and from 2021-08-19 to 2021-08-27 during the Fall deployment. Field measurements were conducted at six sites in the Atchafalaya (N = 3) and Terrebonne (N = 3) basins. Five of the sites were adjacent to sites from the Coastwide Reference Monitoring System (CRMS), and the other site was in the Wax Lake Delta (WLD) without appropriate adjacent CRMS sites. Sites in both basins were chosen to represent a salinity gradient including freshwater, brackish, and saline ecosystems. At each herbaceous wetland site, duplicate sampling stations (30 m apart) were established parallel to the wetland edge at 25 and 50 m within the intertidal zone to capture within site variability in vegetation dynamics and soil properties. The data are provided in comma-separated values (*.csv) format.",
         "license": "proprietary"
     },
@@ -61433,7 +62603,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517706204-ORNL_CLOUD.html",
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         "description": "This data set provides a 30-year record of Landsat TM and ETM+ derived forest phenology and the results of tree ring analyses for annual wood production and nitrogen and carbon isotopic composition at 113 selected forested sites in the eastern United States. The sites are located in four national parks: Prince William Forest Park (PRWI), Harpers Ferry National Historical Park (HAFE), Catoctin Mountain Park (CATO), and Great Smoky Mountains National Park (GRSM). Phenology and tree ring data cover 1984-2013.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3234744006-ORNL_CLOUD.html",
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         "description": "This dataset provides dissolved carbon dioxide (CO2) and methane (CH4) concentrations alongside their stable and radiocarbon isotopic compositions within the Arctic Sagavanirktok and Kuparuk River watersheds located on the North Slope of Alaska. The data were collected during the spring, fall, and summer seasons in 2022. In field separation of the bulk gaseous components (N2, CO2, and CH4) from the liquid phase was achieved using a degassing membrane contactor. Laboratory isotopic analyses were conducted at the W. M. Keck Carbon Cycle Accelerator Mass Spectrometer facility at UC Irvine. This collection aims to provide insights into the seasonal dynamics of greenhouse gas emissions in these critical Arctic environments, thereby contributing valuable information for climate change research and monitoring programs. The data are provided in comma separated values (CSV) format.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389176598-ORNL_CLOUD.html",
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         "description": "This dataset provides derived disturbance history and predicted annual forest biomass maps at 30-m resolution for six selected Landsat scenes across the Conterminous United States (CONUS) for the period 1985-2014. The focus sites are in the following states: Colorado, Maine, Minnesota, Oregon, Pennsylvania, and South Carolina. These scenes were selected to represent a wide range of forest ecosystems, which ensured that a diversity of forest type groups and forest change processes (e.g., harvest, fire, insects, and urbanization) were included. Disturbance history was derived from a Landsat time-series for each site. Each disturbance is represented by year of detection, duration, and magnitude. The cause of the disturbance was not identified. Forest biomass was measured at field plots within each of the six sites and combined with airborne LiDAR data from each site to create land validation maps. Site biomass at 30-m resolution was estimated by developing Random Forest models that include site disturbance history with the land validation maps.",
         "license": "proprietary"
     },
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         "description": "Plant-extractable water capacity of soil is the amount of water that can be extracted from the soil to fulfill evapotranspiration demands. This data set provides an estimate of the global distribution of plant-extractable water capacity of soil.",
         "license": "proprietary"
     },
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         "description": "This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data for a portion of South America including the Brazilian Amazon. The model output data are estimates of potential average live biomass (kg C/m2), potential average soil carbon (kg C/m2), and potential above-ground net primary production (NPP) (kg C/m2/yr) at 1.0 degree resolution. To produce these estimates, ED was forced with ISLSCP I data for 1987 and 1988, averaged into a single year (Moorcroft et al., 2001). Data for the three estimates are provided in both ASCII text and in NetCDF formatted files. ED is an individual-based terrestrial ecosystem model that predicts both ecosystem structure (e.g. above and below-ground biomass, vegetation height and basal area, and soil carbon stocks) and corresponding ecosystem fluxes (e.g. NPP, NEP and evapotranspiration) from climate, soil, and land-use inputs. The model consists of integrated sub-models governing processes such as leaf-level physiology, plant allocation, allometry, phenology, dispersal, the effects of fire disturbances, and below-ground sub-models for soil carbon dynamics and hydrology. Using a new method for scaling-up it is possible to predict ED's large-scale behavior without simulating the fate of every plant individually. ED is used to examine how climate and edaphic factors, natural disturbances, and human land-use practices affect ecosystem structure and fluxes. This data set contains six zip files which each uncompress into six unique subdirectories. Each subdirectory is described in detail in the Model Product Description section of this document. Installation and execution instructions are provided in the Model Documentation and User's Guide section of this document. ",
         "license": "proprietary"
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         "description": "This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data files for the conterminous United States. The ED is a mechanistic ecosystem model built around established sub-models of leaf level physiology, organic matter decomposition, hydrology, and functional biodiversity. It was used herein to estimate ecosystem carbon stocks and fluxes in the conterminous U.S. at 1.0 degree resolution from 1700 to 1990. Output data of carbon stocks and fluxes are stored in NetCDF format. To produce the U.S. scenario, ED was run from an estimated state of ecosystems in the year 1700 to an estimated state of ecosystems in the year 1990 for each 1 degree by 1 degree grid cell through time using ISLSCP Initiative I climate and soil data and a gridded land-use history reconstruction as inputs (Hurtt et al., 2002). The land-use history was based on several sources including: spatial distribution of potential vegetation in 1700, spatial patterns of cropland from 1700 to 1990, regional estimates of land use and logging from 1700 to 1990, and U.S. Forest Inventory and Analysis (FIA) data on the current age distribution of forest stands. The Miami Land Use History Model (Miami-LU), a far simpler empirically-based ecosystem model, was used to track the history of disturbance, land use, fire, and ecosystem recovery. The effects of fire suppression were also included. Atmospheric CO2 concentrations and climatic conditions were held constant throughout the runs to focus on the consequences of land-use and fire-management changes on carbon stocks and fluxes.",
         "license": "proprietary"
     },
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         "description": "This dataset provides a map of the distribution of ecosystem functional types (EFTs) at 0.05 degree resolution across Mexico for 2001 to 2014. EFTs are groupings of ecosystems based on their similar ecosystem functioning that are used to represent the spatial patterns and temporal variability of key ecosystem functional traits without prior knowledge of vegetation type or canopy architecture. Sixty-four EFTs were derived from the metrics of a 2001-2014 time-series of satellite images of the Enhanced Vegetation Index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) product MOD13C2. EFT diversity was calculated as the modal (most repeated) EFT for each pixel.",
         "license": "proprietary"
     },
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         "description": "This dataset provides ground-based column-averaged dry mole fractions (DMFs) of CO2 (xco2), CO (xco), CH4 (xch4), and N2O (xn2o) to supplement satellite-based observations of carbon dynamics of northern boreal ecosystems. Measurements were conducted with Bruker EM27/SUN Fourier transform spectrometers (FTS) at the University of Alaska Fairbanks (UAF) and two sites on the edges of the Tanana Flats wetlands to the south from 2016-08-04 to 2019-10-31. Single detectors were used during the first campaign at UAF in 2017, then two instruments were updated to dual detectors in early 2018 to allow retrieval of xco and xn2o. Data from additional FTS instruments, operated by Los Alamos National Laboratories (LANL), Karlsruhe Institute of Technology (KIT), and Jet Propulsion Laboratory (JPL), employed in these campaigns are included.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2748097305-LPCLOUD.html",
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         "description": "The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth\u2019s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52\u00b0 N latitude and 52\u00b0 S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal.    In addition to its primary objective described above, EMIT has demonstrated the capacity to characterize methane (CH4) and carbon dioxide (CO2) point-source emissions by measuring gas absorption features in the short-wave infrared bands. The EMIT Level 2B Greenhouse Gas (GHG) series of products can be used to identify and quantify point source emissions. The EMIT Level 2B Methane Enhancement Data (EMITL2BCH4ENH) Version 1 data product is a total vertical column enhancement estimate of methane in parts per million meter (ppm m) based on an adaptive matched filter approach. EMITL2BCH4ENH provides per-pixel methane enhancement data used to identify methane plume complexes. The initial release of the EMITL2BCH4ENH data product will only include granules where methane plume complexes have been identified. Each granule contains one Cloud Optimized GeoTIFF (COG) file at a spatial resolution of 60 meters (m): Methane Enhancement (EMIT_L2B_CH4ENH). The EMITL2BCH4ENH file contains methane enhancement data based primarily on EMITL1BRAD radiance values.    Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2408752948-LPCLOUD.html",
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         "description": "The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth\u2019s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52\u00b0 N latitude and 52\u00b0 S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal.  The EMIT Level 3 Aggregated Mineral Spectral Abundance and Uncertainty (EMITL3ASA) Version 1 data product provides an aggregated mineral spectral abundance of the 10 minerals that are the focus of the EMIT mission. These minerals, referred to as the EMIT-10 minerals, are calcite, chlorite, dolomite, goethite, gypsum, hematite, illite+muscovite, kaolinite, montmorillonite, and vermiculite. The EMITL3ASA granule consists of one network Common Data Format 4 (netCDF-4) file at a spatial resolution of 0.5 degrees. The data in EMITL3ASA relies heavily on the EMIT L2B Estimated Mineral Identification and Band Depth and Uncertainty (EMITL2BMIN) data. Using the EMITL2BMIN data, aggregated spectral abundance (ASA) is calculated for each of the EMIT-10 minerals as the simple average of relevant 60 m pixels within each 0.5 degree grid cell in the EMITL3ASA product, after controlling for the estimated fractional cover of bare soil within the pixel.   The EMITL3ASA data product contains 20 Science Dataset (SDS) layers. There are two layers for each of the EMIT-10 minerals: mineral spectral abundance and mineral spectral abundance uncertainty. The latitude and longitude layers contain the coordinates for the upper left corner of each pixel.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2408755900-LPCLOUD.html",
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         "description": "The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth\u2019s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52\u00b0 N latitude and 52\u00b0 S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal.     The EMIT Level 4 Earth System Model (EMITL4ESM) Version 1 data product provides radiative forcing outputs, along with other ancillary outputs generated from different Earth System Models (ESMs). ESMs are complex models that integrate relevant physical, chemical, biological, and human components to simulate multiple aspects of large-scale systems on Earth. Multiple models, input mineral maps, meteorology inputs, and emissions/concentration scenarios are examined for the model runs contained within this data product. Models currently utilized include the Community Earth System Model 2 (CESM2) and the Goddard Institute for Space Studies (GISS) model. Some ESM runs utilize reference surface mineral maps from the literature dating back to 2007; others rely on the EMIT L3 Aggregated Mineral Spectral Abundance and Uncertainty 0.5 Deg (EMITL3ASA) data as inputs.     Each EMITL4ESM granule represents a single ESM run with a Network Common Data Format 4 (netCDF-4) file for each variable. A total of 12 Science Dataset (SDS) layers or variables are provided for each model run. For some SDS layers or variables, multiple layers based on inclusion of model minerology inputs are provided in their netCDF files. The layers/variables table below details which variables contain the extra layers. Metadata flags for Earth System Model, Resolution, Surface Mineral Map, External Meteorology, Time Period, and Emissions/Concentration Scenario indicate the key parameters for each granule. A table outlining each variable in detail can be found in the EMIT Science Data System Level 4 repository. ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207986936-ORNL_CLOUD.html",
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         "description": "This dataset provides Level 2 (L2) Solar-Induced Fluorescence (SIF) of chlorophyll estimates derived from the SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY) instrument on the European Space Agency's (ESA's) Environmental satellite (Envisat) with ~0.5 nm spectral resolution and wavelengths between 734 and 758 nm. SCIAMACHY covers global land between approximately 70 and -57 degrees latitude on an orbital basis at a resolution of approximately 30 km x 240 km. Data are provided for the period from 2003-01-01 to 2012-04-08. Each file contains daily raw and bias-adjusted solar-induced fluorescence along with quality control information and ancillary data.",
         "license": "proprietary"
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         "description": "This dataset provides Level 2 Solar-Induced Fluorescence (SIF) of Chlorophyll estimates derived from the Global Ozone Monitoring Experiment (GOME) instrument on the European Space Agency's (ESA's) European Remote-Sensing 2 (ERS-2) satellite. Each file contains daily raw and bias-adjusted solar-induced fluorescence on an orbital basis (land pixels only), at a resolution of 40 km x 320 km, along with quality control information and ancillary data. Data is provided for the period from 19950701 to 20030622. The GOME SIF product is inherently noisy due to low signal levels and has undergone only a limited amount of validation.",
         "license": "proprietary"
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         "description": "A data set of decade-mean monthly surface climate over global land areas, excluding Antarctica.  Interpolated from station data to 0.5 degree lat/lon for a range of variables:  precipitation, wet-day frequency, mean temperature and diurnal temperature range (from which maximum temperature and and minimum temperature can be determined), vapour pressure, cloud cover, ground-frost frequency.",
         "license": "proprietary"
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@@ -66373,7 +67543,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776885667-ORNL_CLOUD.html",
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         "description": "A data set of 30-year mean monthly surface climate over global land areas, excluding Antarctica.  Interpolated from station data to 0.5 degree lat/lon for a range of variables:  precipitation, wet-day frequency, mean temperature and diurnal temperature range (from which maximum temperature and and minimum temperature can be determined), vapour pressure, cloud cover, ground-frost frequency.",
         "license": "proprietary"
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@@ -66386,7 +67556,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776876780-ORNL_CLOUD.html",
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         "description": "A data set of mean monthly surface climate over global land areas, excluding Antarctica. Interpolated from station data to 0.5 degrees lat/lon for a range of variables: precipitation and wet-day frequency, mean temperature and diurnal temperature range (from which maximum temperature and minimum temperature can be determined), vapour pressure, sunshine, cloud cover, ground-frost frequency and windspeed.",
         "license": "proprietary"
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@@ -66399,7 +67569,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776827920-ORNL_CLOUD.html",
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         "description": "An historical monthly precipitation data set for global land areas from 1900 to January 1, 1999, gridded at two different resolutions (2.5 degrees latitude by 3.75 degrees longitude and 5 degrees latitude/longitude).",
         "license": "proprietary"
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@@ -66412,7 +67582,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2240727799-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2240727799-ORNL_CLOUD.html",
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         "description": "This dataset provides ecosystem-types for the Slave River Delta (SRD) and Peace-Athabasca Delta (PAD), Canada, for the time periods circa 2007 and circa 2017. The image resolution is 12.5 m with 0.2-hectare minimum mapping unit. Included are an 18-class modified Enhanced Wetland Classification (EWC) scheme for wetland, peatland, and upland areas. Classes were derived from a Random Forest classification trained on multi-seasonal moderate-resolution images and synthetic aperture radar (SAR) imagery sourced from aerial and satellite sensors, field data, and calculated indices. Indices included Height Above Nearest Drainage (HAND) and Topographic Position Index (TPI), both derived from a digital elevation model, to differentiate between land cover types. The c. 2007 remote sensing data were comprised of early and late growing season Landsat-5, ERS2, L-Band PALSAR from 2006 to 2010 and growing season Landsat thermal composites. The c. 2017 remote sensing data were comprised of early and late growing season Landsat-8 and L-Band PALSAR-2 from 2017 to 2019, Sentinel-1 June VV and VH mean and standard deviations, and growing season Landsat thermal composites. Elevation indices from multi-resolution TPI and HAND were created from the Japan Aerospace Exploration Agency Advanced Land Observing Satellite 30 m Global Spatial Data Model. Also included are the images used for classification and the classification error matrices for each map and time period. Data are provided in GeoTIFF and GeoPackage file formats.",
         "license": "proprietary"
     },
@@ -66555,7 +67725,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145546-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145546-ORNL_CLOUD.html",
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         "description": "This dataset provides a time series of riverbank erosion and vegetation colonization along reaches of the Yukon River (3 study areas), Tanana and Nenana Rivers (1 area), and Chandalar River (1 area) in interior Alaska over the period 1984-2017. The change data were derived from selected 30-m images from Landsat TM, Landsat ETM+, and Landsat Operational Land Imager (OLI) surface reflectance products. Image classification used the Normalized Differenced Vegetation Index (NDVI) with an NDVI threshold of 0.2 to differentiate vegetated from non-vegetated pixels. Images were assigned to one of seven or eight multiyear intervals, within the 1984-2017 overall range, for each study area. Time intervals vary by study site. Change detection identified shifts from one time interval to the next: changes from vegetated to non-vegetated classes were considered riverbank erosion and changes from non-vegetated to vegetated classes were considered vegetation colonization.",
         "license": "proprietary"
     },
@@ -66568,7 +67738,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2408633153-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2408633153-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of forest aboveground biomass for three study areas and the entire Paragominas municipality, in Para, Brazil, in 2012. Aboveground biomass (in megagrams of carbon per hectare) was measured for inventory plots within the study (focal) areas, and then assimilated and modeled with LiDAR and PALSAR metrics using gradient boosting machines (GBM) to predict spatially explicit forest aboveground biomass and uncertainties for the entire focal areas. The PALSAR data across the three focal areas was combined and used in a GBM model to predict forest aboveground biomass across the entire Paragominas municipality.",
         "license": "proprietary"
     },
@@ -66581,7 +67751,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784385784-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784385784-ORNL_CLOUD.html",
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         "description": "This data set provides estimates of aboveground biomass (AGB) for defined land cover types within World Wildlife Fund (WWF) ecoregions across the boreal biome of eastern and western Eurasia, roughly between 50 and 70 degrees N. The study focused on within-growing-season data, i.e. leaf-on conditions.The AGB estimates were derived from a series of models that first related ground-based measured biomass to airborne data collected with an Optech Airborne Laser Terrain Mapper (ALTM) 3100, and a second set of models that related the airborne estimates of biomass to Geoscience Laser Altimeter System (GLAS) LiDAR canopy structure measurements. The ground, airborne, and GLAS measurements were used to formulate the models needed to generate biomass predictions for western Eurasia. Eastern Eurasia employed a two-phase approach relating field measurements directly to the GLAS measurements without the airborne intermediary. The GLAS LiDAR biomass estimates were extrapolated by land cover types and ecoregions across the entire biome area.The study compiled remotely sensed forest structure data collected in June of 2005 and 2006 from the GLAS LiDAR instrument aboard the NASA Ice, Cloud, and land Elevation (ICESat) satellite and from an Optech Airborne Laser Terrain Mapper (ALTM) 3100 airborne instrument flown in Southeast Norway over both the ground plots and the ICESat GLAS flight path. For a consistent biome-level analysis, ecoregions contained within the boreal forest biome were identified by the World Wildlife Fund's (WWF) ecoregion map of the world (Olson et al., 2001). MODIS MOD12Q1 land cover products (2004) were used to identify land cover types for stratification purposes within eco-regions. The ground-based measurements are not provided with this data set.",
         "license": "proprietary"
     },
@@ -66776,7 +67946,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345878726-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345878726-ORNL_CLOUD.html",
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         "description": "This dataset provides forest biomass estimates for the conterminous United States based on data from the USDA Forest Inventory and Analysis (FIA) program. FIA maintains uniformly measured field plots across the conterminous U.S. This dataset, derived from field survey data from 2009-2019, includes statistical estimates of biomass at the finest scale (64,000-hectare hexagons) allowed by FIA's sample density. Estimates include the mean (and standard error of the mean) biomass for both live and dead trees, calculated using three sets of allometric equations. There is also an estimate of the area of forestland in each hexagon. These data can be useful for assessing the accuracy of remotely sensed biomass estimates.",
         "license": "proprietary"
     },
@@ -66789,7 +67959,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2758951357-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2758951357-ORNL_CLOUD.html",
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         "description": "This data set provides aircraft-based NS001 Thematic Mapper Simulator (TMS) images of the study area associated with The First ISLSCP (International Satellite Land Surface Climatology Project) Field Experiment (FIFE) project conducted on the Konza Prairie in Kansas. The images were acquired during June 1987 to August 1989. The images in this data set were originally provided on the FIFE CD-ROM Volume 3.",
         "license": "proprietary"
     },
@@ -68873,6 +70043,19 @@
         "description": "FLASH_SSF_NOAA20-FM6-VIIRS_Version1B data are near real-time CERES observed TOA fluxes, clouds, and parameterized surface fluxes, not officially calibrated. The Fast Longwave and SHortwave Flux (FLASHFlux) data are a product line of the Clouds and the Earth's Radiant Energy Systems (CERES) project designed for processing and release of top-of-atmosphere (TOA) and surface radiative fluxes within one week of CERES instrument measurement. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality.FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a week of the initial measurements, with some calibration accuracy requirements relaxed to gain speed. The Single Scanner Footprint TOA/Surface Fluxes and Clouds (SSF) product contains one hour of instantaneous Fast Longwave And SHortwave Fluxes (FLASHFlux) data for a single Clouds and the Earth's Radiant Energy Systems (CERES) scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-20 satellite and meteorological and ozone information from The Goddard Earth Observing System (GEOS) GEOS-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher image resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and incoming NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information. CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. CERES instrument Flight Model 5 (FM5) was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The latest CERES instrument (FM6) was launched on board NOAA-20 on November 18, 2017.",
         "license": "proprietary"
     },
+    {
+        "id": "FLASH_SSF_Terra-FM1-MODIS_Version4A",
+        "title": "Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-01-01",
+        "end_date": "",
+        "bbox": "67.5, -90, -67.5, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461596-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2722461596-LARC_CLOUD.html",
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+        "description": "FLASH_SSF_Terra-FM1-MODIS_Version4A is the Fast Longwave And Shortwave Radiative Fluxes (FLASHFlux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A data product. This product consists of Low latency (< 5 days from observation) Top-of-Atmosphere (TOA) fluxes and parameterized surface radiative fluxes at Clouds and the Earth's Radiant Energy Systems (CERES) Single Scanner Footprint (SSF) level for quick-look purposes.     FLASHFlux data are a product line of the CERES project designed to process and release TOA and surface radiative fluxes for applied sciences and education uses. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality. FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a few days of the initial measurements, with some calibration accuracy requirements relaxed to gain speed.     The SSF TOA/Surface Fluxes and Clouds product contains one hour of instantaneous FLASHFlux data for a single CERES scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager, such as Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites and meteorological and ozone information from The Goddard Earth Observing System (GEOS) GEOS-5 FP-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher image resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument, Flight Model 5 (FM5), was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite.",
+        "license": "proprietary"
+    },
     {
         "id": "FLASH_SSF_Terra-FM1-MODIS_Version4A",
         "title": "Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677230198-ORNL_CLOUD.html",
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         "description": "This dataset contains a set of Lagrangian particle dispersion simulations of carbon dioxide concentrations using the FLEXible PARTicle (FLEXPART) model. FLEXPART quantified the source-receptor relationships, so-called \"influence functions\", in a backward mode. The simulations were constructed for five Atmospheric Carbon and Transport America (ACT-America) deployments over the eastern U.S. that occurred in 2016-2019. Each receptor of the influence function is the 30-second or 10-minute interval along flight tracks, characterized by a box with boundaries between the maximum and minimum latitude/longitude as well as between the maximum and minimum altitudes during the interval. Each receptor box released 5,000 particles and simulated their transport and dispersion backward for 10 or 20 days. The simulations were driven by 27-km meteorology provided by the WRF-Chem simulation or by ERA-Interim data from the European Centre for Medium-Range Weather Forecasts (ECMWF). Background levels of carbon dioxide were obtained from CarbonTracker and OCO-2 v9 MIP. The data are provided in netCDF and FLEXPART binary formats.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773250697-ORNL_CLOUD.html",
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         "description": "FLUXNET Canada is a Fluxnet research network comprised of the Fluxnet-Canada Research Network (FCRN) and the Canadian Carbon Program (CCP) operating from 1993 through 2014. It was a national research network of university and government scientists studying the influence of climate and disturbance on carbon cycling along an east-west transect of Canadian forest and peat land ecosystems. The data provided are measured and modeled results as obtained from the site investigators. They were not standardized and quality-controlled. Data include: atmospheric carbon dioxide (CO2) and water vapor fluxes and many ancillary meteorological variables; soil CO2 efflux and soil moisture; stable carbon isotopes; site soil and vegetation characteristics, plus documentation and descriptions for the 32 tower sites across 12 flux research stations. The time period is from 1993 - 2014; most reported data for a site does not cover the entire period.",
         "license": "proprietary"
     },
@@ -69129,7 +70312,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756289636-ORNL_CLOUD.html",
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         "description": "This dataset, titled the Synthesized Alaskan Tundra Field Database (SATFiD), provides a comprehensive collection of in-situ field data compiled from 37 existing datasets resulting from field surveys conducted at Alaska tundra sites between 1972 to 2020. The data were harmonized prior to being included in this dataset. The variables include active layer thickness, vegetation cover (by plant functional types), soil moisture and temperatures, as well as the wildfire history. SATFiD provides a unique lens into various long-term ecological processes within the tundra (such as the fire-permafrost-vegetation interactions) under a rapidly changing climate.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751481641-ORNL_CLOUD.html",
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         "description": "The BigFoot project gathered field data for selected EOS Land Validation Sites in North America from 1999 to 2003. Data collected and derived for varying intervals at the BigFoot sites and archived with this data set include FPAR, nitrogen content, allometry equations, root biomass, LAI, tree biomass, soil respiration, NPP, landcover images, and vegetation inventories.Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, and deciduous broadleaf forest; desert grassland and shrubland. The project collected multi-year, in situ measurements of ecosystem structure and functional characteristics related to the terrestrial carbon cycle at the sites listed in Table 1. Companion files include documentation of measurement data, site and plot locations (Figure 2), and plot photographs for the SEVI and TUND sites (Figure 3).BigFoot Project Background: Reflectance data from MODIS, the Moderate Resolution Imaging Spectrometer onboard NASA's Earth Observing System (EOS) satellites Terra and Aqua ( http://landval.gsfc.nasa.gov/MODIS/index.php ), was used to produce several science products including land cover, leaf area index (LAI), gross primary production (GPP), and net primary production (NPP). The overall goal of the BigFoot Project was to provide validation of these products. To do this, BigFoot combined ground measurements, additional high-resolution remote-sensing data, and ecosystem process models at six flux tower sites representing different biomes to evaluate the effects of the spatial and temporal patterns of ecosystem characteristics on MODIS products. BigFoot characterized up to a 7 x 7 km area (49 1-km MODIS pixels) surrounding the CO2 flux towers located at six of the nine BigFoot sites. The sampling design allowed the Project to examine scales and spatial patterns of these properties, the inter-annual variability and validity of MODIS products, and provided for a field-based ecological characterization of the flux tower footprint. BigFoot was funded by NASA's Terrestrial Ecology Program.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2600303267-ORNL_CLOUD.html",
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         "description": "This dataset provides 10-minute fire emissions within 0.1-degree regularly spaced intervals across Indonesia from July 2015 to December 2020. The dataset was produced with a top-down approach based on fire radiative energy (FRE) and smoke aerosol emission coefficients (Ce) derived from multiple new-generation satellite observations. Specifically, the Ce values of peatland, tropical forest, cropland, or savanna and grassland were derived from fire radiative power (FRP) and emission rates of smoke aerosols based on Visible Infrared Imaging Radiometer Suite (VIIRS) active fire and aerosol products. FRE for each 0.1-degree interval was calculated from the diurnal FRP cycle that was reconstructed by fusing cloud-corrected FRP retrievals from the high temporal-resolution (10 mins) Himawari-8 Advanced Himawari Imager (AHI) with those from high spatial-resolution (375 m) VIIRS. This new dataset was named the Fused AHI-VIIRS based fire Emissions (FAVE). Fire emissions data are provided in comma-separated values (CSV) format with one file per month from July 2015 to December 2020. Each file includes variables of fire observation time, fire geographic location, classification, fire radiative energy, various fire emissions and related standard deviations.",
         "license": "proprietary"
     },
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         "description": "This dataset provides estimates of wildfire carbon emissions and uncertainties at 30-m resolution, and measurements collected at burned and unburned field plots from the 2014 wildfire sites near Yellowknife, Northwest Territories (NWT), Canada. Field data were collected at 211 burned plots in 2015 and include site characteristics, tree cover and species, basal area, delta normalized burn ratio (dNBR), plot characteristics, soil carbon, and carbon combusted. Data were collected at 36 unburned plots with characteristics similar to the burned plots in 2016. The emission estimates were derived from a statistical modeling approach based on measurements of carbon consumption at the 211 burned field plots located in seven independent burn scars. Estimates include uncertainty of field observations of aboveground and belowground combustion, as well as prediction uncertainty from a multiplicative regression model. To apply the model across all 2014 NWT fire perimeters, the final model covariates were re-gridded to a common 30-m grid defined by the Arctic Boreal and Vulnerability Experiment (ABoVE) Project. The regression model was then applied to burned pixels defined by a threshold of Landsat-derived differenced Normalized Burn Ratio (dNBR) within fire perimeters. Derived carbon emissions and uncertainty in g/m2 are provided for each 30-m grid cell. The modeled NWT domain encompasses 29 tiles within the ABoVE 30-m reference grid system.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677183090-ORNL_CLOUD.html",
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         "description": "This dataset contains flight dynamics and environmental parameters (often referred to as housekeeping) specific to the DC-8 aircraft as collected from an assortment of instruments across all four ATom campaigns flown from 2016 through 2018. Measurements include aircraft position, altitude, speed, wind parameters, air temperature, and atmospheric and cabin pressure. These data can be used to understand the interior and exterior conditions and positioning of the DC-8 aircraft at 1-second resolution.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764707175-ORNL_CLOUD.html",
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         "description": "This dataset provides global gridded daily estimates of gross primary production (GPP) and uncertainties at 0.05-degree resolution for the period 2000-03-01 to the recent past. The GPP was derived from the MODerate-resolution Imaging Spectroradiometer (MODIS) instruments on the NASA Terra and Aqua satellites using the MCD43C4v006 Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectances (NBAR) product as input to neural networks that were used to globally upscale GPP estimated from selected FLUXNET 2015 eddy covariance tower sites. Additional data will be added periodically.",
         "license": "proprietary"
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         "description": "This data set provides vegetation, environmental, and soil data collected from plots located in the footprints of eddy covariance flux towers along a 300 km north-south latitudinal gradient from Barrow, to Atqasuk, and to Ivotuk across the North Slope of Alaska in 2014. Within each of the five flux tower footprints, 1x1-m quadrats were placed subjectively within widespread habitat or micro-habitat types to map the dominant vegetation communities and site environmental factors. Specific attributes included species cover data and environmental, soil and spectral data (active layer thaw depth, moss layer depth, organic horizon layer depth, standing water depth, soil moisture status, vegetation height, LAI).",
         "license": "proprietary"
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@@ -69246,7 +70429,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2767479901-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767479901-ORNL_CLOUD.html",
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         "description": "FLUXNET is a global network of micrometeorological tower sites that use eddy covariance methods to measure the exchanges of carbon dioxide, water vapor, and energy between terrestrial ecosystems and the atmosphere. This dataset provides information from the ORNL DAAC-hosted FLUXNET site database which was discontinued in 2016. The files provided contain a list of investigators associated with each tower site, site locations and environmental data, and a bibliography of papers that used FLUXNET data. For more up to date information on FLUXNET sites, see http://fluxnet.fluxdata.org/.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764885202-ORNL_CLOUD.html",
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         "description": "This dataset contains an archived copy of the fluxnet.ornl.gov website as of September 2017. This archived website is provided for informational purposes only. The last updates to the website and the underlying database were made in October 2016. Support for the Fluxnet project and website was transitioned to http://fluxnet.fluxdata.org in September 2017. Please see http://fluxnet.fluxdata.org/ for information on site locations, data availability, and to add or update a flux tower site.",
         "license": "proprietary"
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@@ -69285,7 +70468,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389020423-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389020423-ORNL_CLOUD.html",
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         "description": "This dataset provides maps of aboveground forest biomass (AGB) of living trees and standing dead trees in Mg/ha across portions of Northwestern United States, including Washington, Oregon, Idaho, and Montana, at a spatial resolution of 30 m. Forest inventory data were compiled from 29 stakeholders that had overlapping lidar imagery. The collection totaled 3805 field plots with lidar imagery for 176 collections acquired between 2002 and 2016. Plot-level AGB estimates were calculated from tree measurements using the default allometric equations found in the Fire Fuels Extension (FFE) of the Forest Vegetation Simulator (FVS). The random forest algorithm was used to model AGB from lidar height and density metrics that were generated from the lidar returns within fixed-radius field plot footprints, gridded climate metrics obtained from the Climate-FVS Ready Data Server, and topographic estimates extracted from Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global elevation rasters. AGB was then mapped from the same lidar metrics gridded across the extent of the lidar collections at 30-m resolution. The standard deviation of estimated AGB of the terminal nodes from the random forest predictions was also mapped to show pixel-level model uncertainty. Note that the AGB estimates are, for the most part, a single snapshot in time and that the forest conditions are not necessarily representative of the larger study area.",
         "license": "proprietary"
     },
@@ -69298,7 +70481,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517278605-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517278605-ORNL_CLOUD.html",
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         "description": "This dataset provides related gridded outputs of future modeled forest carbon sequestration priority and related species richness and habitat suitability for the western United States. The primary dataset is of the ranking of forest lands in the western U.S. for preservation based on the ability of these lands to sequester carbon over the coming century. The preservation ranking was derived from the results of simulations of future potential forest net ecosystem productivity (NEP) and vulnerability to drought and wildfire, as modeled from 2020 to 2099 at 4 km x 4 km resolution using a modified version of the Community Land Model (CLM 4.5). In addition, data files of potential forest NEP ranking and the forest vulnerability ranking are also provided. Co-located data of species richness for amphibians, birds, mammals, and reptiles are included to illustrate habitat suitability in relation to forest carbon preservation rankings. There are two files for each vertebrate class, one reflecting all western U.S. species included in the USGS GAP Analysis Project and a second for the subset of species listed as threatened or endangered by the U.S. Fish and Wildlife Service. Establishing this forest carbon preservation priority ranking for forest lands in the western U.S. will help guide the conservation of land for climate change mitigation activities and improved harvest management in the region.",
         "license": "proprietary"
     },
@@ -69324,7 +70507,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764878430-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764878430-ORNL_CLOUD.html",
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         "description": "This data set provides measurements of diameter at breast height (DBH) and species identification at four forest sites in the eastern side of Acre, Brazil including Bonal (A), Catuaba (B), Humaita (C) and Transacreana (D). The inventory locations include forests burned in 2005 and 2010 and nearby unburned areas. Inventory surveys were conducted in October and December 2017.",
         "license": "proprietary"
     },
@@ -69337,7 +70520,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2515314177-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515314177-ORNL_CLOUD.html",
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         "description": "This dataset provides the complete catalog of forest inventory and biophysical measurements collected over selected forest research sites across the Amazon rainforest in Brazil between 2009 and 2018 for the Sustainable Landscapes Brazil Project. This dataset includes measurements for diameter at breast height (DBH), commercial tree height, and total tree height for forest inventories. Also included for each tree are the family, common and scientific names, coordinates, canopy position, crown radius, and for dead trees, the decomposition status. Aboveground biomass estimate is available for selected sites. The data are provided in comma-separated values (CSV) and shapefile formats. Sampling methodology for each site and year is described in companion files.",
         "license": "proprietary"
     },
@@ -69350,7 +70533,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764882625-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764882625-ORNL_CLOUD.html",
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         "description": "This dataset provides measurements for diameter at breast height (DBH) and species identification of trees for inventories taken at five tropical forest sites in Acre state, Brazil, in the southwestern Amazon region. The sites included one in a forest reserve (Reserva Bonal) and four within forest fragments situated on private property. The inventory sites included forests burned in 2005 and 2010 and also unburned forests. Surveys were conducted in July and August 2014.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764883885-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764883885-ORNL_CLOUD.html",
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         "description": "This dataset provides tree inventory, tree height, diameter at breast height (DBH), and estimated crown measurements from 30 plots located in the Tapajos National Forest, Para, Brazil collected in September 2010. The plots were located in primary forest, primary forest subject to reduced-impact selective logging (PFL) between 1999 and 2003, and secondary forest (SF) with different age and disturbance histories. Plots were centered on GLAS (the Geoscience Laser Altimeter System) LiDAR instrument footprints selected along two sensor acquisition tracks spanning a wide range in vertical structure and aboveground biomass.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3012482048-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3012482048-ORNL_CLOUD.html",
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         "description": "This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the K34 tower site in the Cuieiras Biological Reserve, over forest inventory plots in the Adolpho Ducke Forest Reserve, and over sites of the Biological Dynamics of Forest Fragments Project (BDFFP) in Rio Preto da Eva municipality near Manaus, Amazonas, Brazil during June 2008. The surveys encompass the K34 eddy flux tower managed through the Large-scale Biosphere-Atmosphere Experiment in Amazonia, forest inventory plots managed by the Programa de Pesquisa em Biodiversidade (PPBio), and sites managed by the BDFFP. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.",
         "license": "proprietary"
     },
@@ -69389,7 +70572,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2992471915-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2992471915-ORNL_CLOUD.html",
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         "description": "This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the Tapajos National Forest in Belterra municipality, Para, Brazil during late June and early July 2008. The surveys encompass the K67 and K83 eddy flux towers and a deforestation chronosequence managed through the Large-Scale Biosphere-Atmosphere Experiment in Amazonia providing long-term flux measurements of carbon dioxide. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.",
         "license": "proprietary"
     },
@@ -69428,7 +70611,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969622-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969622-ORNL_CLOUD.html",
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         "description": "This data set describes the environment, soil, and vegetation on nonsorted circles and earth hummocks at seven study sites along a N-S-transect from the Arctic Ocean to the Arctic Foothills based on data collected from 2000 to 2006. The study sites are located along the Dalton Highway, beginning in Prudhoe Bay, on the North Slope of Alaska. These frost-boil features are important landscape components of the arctic tundra. Data include the baseline plot information for vegetation, soils, and site factors for 117 study plots subjectively located in areas of homogeneous, representative vegetation on frost-heave features surrounding stable tundra. Nine community types were identified in three bioclimate subzones. Vegetation was classified according to the Braun-Blanquet system.",
         "license": "proprietary"
     },
@@ -70585,7 +71768,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2395504063-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2395504063-ORNL_CLOUD.html",
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         "description": "The data provided are annual land cover projections for years 2005 through 2095 generated by the Global Change Assessment Model (GCAM) Version 3.1. For the conterminous USA, the GCAM global gridded results were downscaled to ~5.6 km (0.05 degree) resolution. For each 5.6 x 5.6 km area, the annual land cover percentage comprised by each of the nineteen different land cover classes/plant functional types (PFTs) of the Community Land Model (CLM) (Table 1) are provided.Results are reported for GCAM runs of three scenarios of future human efforts towards climate mitigation as related to global carbon emissions, radiative forcing, and land cover change. Specific scenario conditions were 1) a reference scenario with no explicit climate mitigation efforts that reaches a radiative forcing level of over 7 W/m2 in 2100, 2) the 2.6 mitigation pathway (MP) scenario which is a very low emission scenario with a mid-century peak in radiative forcing at ~3 W/m2, declining to 2.6 W/m2 in 2100, and 3) the 4.5 MP scenario which stabilizes radiative forcing at 4.5 W/m2 (~ 650 ppm CO2-equivalent) before 2100.These downscaled land cover projections can be used to derive spatially explicit estimates of potential shifts in croplands, grasslands, shrub lands, and forest lands in each future climate scenario.Data are presented as three NetCDF v4 files (.nc4), one for each future climate scenario -- 2.6 MP, 4.5 MP, and GCAM reference). ",
         "license": "proprietary"
     },
@@ -78606,7 +79789,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2408633818-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2408633818-ORNL_CLOUD.html",
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         "description": "This dataset contains four alternative digital elevation models (DEMs) at 1 m resolution and model performance statistical metrics for the Global Change Research Wetland (GCReW) site on the Rhode River, a tributary of the Chesapeake Bay in Maryland, USA, for the year 2016. Three DEMs were created by using different strategies for correcting positive biases in Light Detection and Ranging (LiDAR)-based DEMs that are common in tidal wetlands. These included (1) applying a single average offset based on a literature review, (2) using the LiDAR Elevation Correction with NDVI (LEAN)-method, and (3) applying plant community-specific offsets using a local vegetation cover map. Existing LiDAR data at 1 m resolution collected in 2011 was the basis for these DEMs. The fourth DEM was created by using Empirical Bayesian Kriging to extrapolate between measured ground points. The elevation is provided in meters relative to the North American Vertical Datum of 1988 (NAVD 88). To calibrate the four approaches, the elevation of the entire marsh complex was surveyed at 20 m x 20 m resolution to document the distribution of elevation relative to tidal datums from a single year. Two Trimble R8 real-time kinematic (RTK) GPS receivers were used to survey 525 points over the complex from July 26, 2016, to August 15, 2016. Relative plant cover was also documented. Tidal datums were calculated from the nearby Annapolis, MD tidal gauge located 13 km from GCReW.",
         "license": "proprietary"
     },
@@ -78645,7 +79828,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2142749196-LPCLOUD.html",
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         "description": "The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth\u2019s carbon cycle and biodiversity. The GEDI instrument produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station (ISS) and collects data globally between 51.6\u00b0 N and 51.6\u00b0 S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date. Each GEDI Version 2 granule encompasses one-fourth of an ISS orbit and includes georeferenced metadata to allow for spatial querying and subsetting.    The GEDI Level 1B Geolocated Waveforms product (GEDI01_B) provides geolocated corrected and smoothed waveforms, geolocation parameters, and geophysical corrections for each laser shot for all eight GEDI beams. GEDI01_B data are created by geolocating the GEDI01_A raw waveform data. The GEDI01_B product is provided in HDF5 format and has a spatial resolution (average footprint) of 25 meters.    The GEDI01_B data product contains 85 layers for each of the eight beams including the geolocated corrected and smoothed waveform datasets and parameters and the accompanying ancillary, geolocation, and geophysical correction. Additional information can be found in the GEDI L1B Product Data Dictionary.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2142771958-LPCLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2142771958-LPCLOUD.html",
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         "description": "The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth\u2019s carbon cycle and biodiversity. The GEDI instrument produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station (ISS) and collects data globally between 51.6\u00b0 N and 51.6\u00b0 S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date. Each GEDI Version 2 granule encompasses one-fourth of an ISS orbit and includes georeferenced metadata to allow for spatial querying and subsetting.    The purpose of the GEDI Level 2A Geolocated Elevation and Height Metrics product (GEDI02_A) is to provide waveform interpretation and extracted products from each GEDI01_B received waveform, including ground elevation, canopy top height, and relative height (RH) metrics. The methodology for generating the GEDI02_A product datasets is adapted from the Land, Vegetation, and Ice Sensor (LVIS) algorithm. The GEDI02_A product is provided in HDF5 format and has a spatial resolution (average footprint) of 25 meters.    The GEDI02_A data product contains 156 layers for each of the eight beams, including ground elevation, canopy top height, relative return energy metrics (e.g., canopy vertical structure), and many other interpreted products from the return waveforms. Additional information for the layers can be found in the GEDI Level 2A Dictionary.  ",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2142776747-LPCLOUD.html",
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         "description": "The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth\u2019s carbon cycle and biodiversity. The GEDI instrument produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station (ISS) and collects data globally between 51.6\u00b0 N and 51.6\u00b0 S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date. Each GEDI Version 2 granule encompasses one-fourth of an ISS orbit and includes georeferenced metadata to allow for spatial querying and subsetting.    The purpose of the GEDI Level 2B Canopy Cover and Vertical Profile Metrics product (GEDI02_B) is to extract biophysical metrics from each GEDI waveform. These metrics are based on the directional gap probability profile derived from the L1B waveform. Metrics provided include canopy cover, Plant Area Index (PAI), Plant Area Volume Density (PAVD), and Foliage Height Diversity (FHD). The GEDI02_B product is provided in HDF5 format and has a spatial resolution (average footprint) of 25 meters.    The GEDI02_B data product contains 96 layers for each of the eight-beam ground transects (or laser footprints located on the land surface). Datasets provided include precise latitude, longitude, elevation, height, canopy cover, and vertical profile metrics. Additional information for the layers can be found in the GEDI Level 2B Data Dictionary.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3126327092-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3126327092-ORNL_CLOUD.html",
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         "description": "This dataset provides eight GEDI forest structure metrics relevant to wildlife habitat modeling and biodiversity assessments at 30-m resolutions across Washington, Oregon, Idaho, Montana, Wyoming, and Colorado. The metrics characterize canopy height, strata densities, and canopy cover. The data were derived using random forest modeling and prediction frameworks. The models created were also hindcasted using 2019 and 2020 GEDI footprints back to 2016 on annual time steps leveraging continuous Landsat spectral and disturbance information, Sentinel-1 backscatter metrics and ratios, topographic information, and bioclimatic variables. Machine learning data fusion approaches were used to scale-up structure information provided by the novel space-borne Global Ecosystems Dynamics Investigation (GEDI) waveform lidar sensor to continuous extents using additional satellite-based continuous earth observation data. GEDI provides a consistent sample of forest structure information at 25-m diameter footprints at near-global extents, providing a valuable source of reference information to drive continuous mapping efforts.",
         "license": "proprietary"
     },
@@ -78697,7 +79880,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3043630107-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3043630107-ORNL_CLOUD.html",
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         "description": "This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the entire vertical profile, based solely on GEDI lidar, and validated with independent data. The GEDI sensor, mounted on the International Space Station (ISS), uses eight laser beams spaced by 60 m along-track and 600 m across-track on the Earth surface to measure ground elevation and vegetation structure between approximately 52 degrees North and South latitude. Between April 17th 2019 and March 16th 2023, GEDI acquired 11 and 7.7 billion quality waveforms suitable for measuring ground elevation and vegetation structure, respectively. This dataset provides GEDI shot metrics aggregated into raster grids at three spatial resolutions: 1 km, 6 km, and 12 km. In addition to many of the standard L2 and L4A shot metrics, several additional metrics have been derived which may be particularly useful for applications in carbon and water cycling processes in earth system models, as well as forest management, biodiversity modeling, and habitat assessment. Variables include canopy height, canopy cover, plant area index, foliage height diversity, and plant area volume density at 5 m strata. Eight statistics are included for each GEDI shot metric: mean, bootstrapped standard error of the mean, median, standard deviation, interquartile range, 95th percentile, Shannon's diversity index, and shot count. Quality shot filtering methodology that aligns with the GEDI L4B Gridded Aboveground Biomass Density, Version 2.1 was used. In comparison to the current GEDI L3 dataset, this dataset provides additional gridded metrics at multiple spatial resolutions and over several temporal periods (annual and the full mission duration). Files are provided in cloud optimized GeoTIFF format.",
         "license": "proprietary"
     },
@@ -78710,7 +79893,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2889522012-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2889522012-ORNL_CLOUD.html",
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         "description": "This dataset provides global rasters of relative height metrics for vegetation from Global Ecosystem Dynamics Investigation (GEDI) L2A data and Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) L3A ATL08 data at 100-, 200-, 500-, and 1000-m spatial resolutions. The metrics include the relative heights RH98, RH90, RH75, and RH50, corresponding to the height at which the respective 98th, 90th, 75th, and 50th percentile of returned energy is reached relative to the ground. These metrics provide measures of vegetation canopy height and structure. The different relative height metrics were intercalibrated over the overlap area (50 - 52 degrees N). GEDI data were collected from 2019-2022, and ICESat2 data were from 2019-2021. The data are provided in cloud optimized GeoTIFF format.",
         "license": "proprietary"
     },
@@ -78723,7 +79906,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153683336-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153683336-ORNL_CLOUD.html",
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         "description": "This dataset provides Global Ecosystem Dynamics Investigation (GEDI) Level 3 (L3) gridded mean canopy height, standard deviation of canopy height, mean ground elevation, standard deviation of ground elevation, and counts of laser footprints per 1-km x 1-km grid cells globally within -52 and 52 degrees latitude. These L3 gridded products were derived from Level 2 (L2) geolocated laser footprint return profile metrics from the GEDI instrument onboard the International Space Station (ISS). Canopy height is provided as the mean height (in meters) above the ground of the received waveform signal that was the first reflection off the top of the canopy (RH100). Ground elevation is provided as the mean elevation (in meters) of the center of the lowest waveform mode relative to the WGS84 reference ellipsoid. L3 gridded products can be used to characterize important carbon and water cycling processes, biodiversity, habitat and can also be of immense value for climate modeling, forest management, snow and glacier monitoring, and the generation of digital elevation models. This dataset version uses Version 2 of the input L2 data, which includes improved geolocation of the footprints as well as a modified method to predict an optimum algorithm setting group.",
         "license": "proprietary"
     },
@@ -78736,7 +79919,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734289572-ORNL_CLOUD.html",
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         "description": "This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. The footprints are located within the global latitude band observed by the International Space Station (ISS), nominally 51.6 degrees N and S and reported for the mission weeks 19, 32, 34 and 38 (a.k.a. Golden Weeks). These weeks cover the range of instrument operating conditions important for calibration and validation of geolocation algorithms, and also include GEDI orbits that are coincident with underflights acquired by the LVIS (Land, Vegetation, and Ice Sensor) airborne lidar instrument. The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which instantaneously sample eight ~25 m footprints spaced approximately every 60 m along-track. The GEDI beam transects are spaced approximately 600 m apart on the Earth's surface in the cross-track direction, for an across-track width of ~4.2 km. Footprint AGBD was derived from parametric models that relate simulated GEDI Level 2A (L2A) waveform relative height (RH) metrics to field plot estimates of AGBD. Height metrics from simulated waveforms associated with field estimates of AGBD from multiple regions and plant functional types (PFT) were compiled to generate a calibration dataset for models representing the combinations of world regions and PFTs (i.e., deciduous broadleaf trees, evergreen broadleaf trees, evergreen needleleaf trees, deciduous needleleaf trees, and the combination of grasslands, shrubs, and woodlands).",
         "license": "proprietary"
     },
@@ -78749,7 +79932,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2237824918-ORNL_CLOUD.html",
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         "description": "This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) Version 2 predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. In this version, the granules are in sub-orbits. The algorithm setting group selection used for GEDI02_A Version 2 has been modified for Evergreen Broadleaf Trees in South America to reduce false positive errors resulting from the selection of waveform modes above ground elevation as the lowest mode. The footprints are located within the global latitude band observed by the International Space Station (ISS), nominally 51.6 degrees N and S and reported for the period 2019-04-18 to 2023-03-16. The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which instantaneously sample eight ~25 m footprints spaced approximately every 60 m along-track. The GEDI beam transects are spaced approximately 600 m apart on the Earth's surface in the cross-track direction, for an across-track width of ~4.2 km. Footprint AGBD was derived from parametric models that relate simulated GEDI Level 2A (L2A) waveform relative height (RH) metrics to field plot estimates of AGBD. Height metrics from simulated waveforms associated with field estimates of AGBD from multiple regions and plant functional types (PFTs) were compiled to generate a calibration dataset for models representing the combinations of world regions and PFTs (i.e., deciduous broadleaf trees, evergreen broadleaf trees, evergreen needleleaf trees, deciduous needleleaf trees, and the combination of grasslands, shrubs, and woodlands). For each of the eight beams, additional data are reported with the AGBD estimates, including the associated uncertainty metrics, quality flags, model inputs, and other information about the GEDI L2A waveform for this selected algorithm setting group. Model inputs include the scaled and transformed GEDI L2A RH metrics, footprint geolocation variables and land cover input data including PFTs and the world region identifiers. Additional model outputs include the AGBD predictions for each of the six GEDI L2A algorithm setting groups with AGBD in natural and transformed units and associated prediction uncertainty for each GEDI L2A algorithm setting group. Providing these ancillary data products will allow users to evaluate and select alternative algorithm setting groups. Also provided are outputs of parameters and variables from the L4A models used to generate AGBD predictions that are required as input to the GEDI04_B algorithm to generate 1-km gridded products.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813390180-ORNL_CLOUD.html",
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         "description": "This dataset provides country-level estimates of land surface mean aboveground biomass density (AGBD), total aboveground biomass (AGB) stocks, and the associated standard errors of the mean calculated using different versions of the Global Ecosystem Dynamics Investigation (GEDI) Level-4B (L4B) product. The GEDI L4B product provides gridded (1 km x 1 km) estimates of AGBD within the GEDI orbital extent (between 51.6 degrees N and 51.6 degrees S). For comparison purposes, this dataset also includes national-scale National Forest Inventory (NFI) estimates of AGBD from the 2020 Global Forest Resources Assessment (FRA) published by the Food and Agriculture Organization (FAO, 2020) of the United Nations.The GEDI instrument produces high-resolution laser ranging observations of the 3-dimensional structure of the Earth's surface. GEDI was launched on December 5, 2018, and is attached to the International Space Station (ISS). The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which consist of ~25 m footprint samples spaced approximately every 60 m along-track. The GEDI beam transects are spaced approximately 600 m apart on the Earth's surface in the cross-track direction, for an across-track width of ~4.2 km. The data are provided in comma-separated value (CSV) format.",
         "license": "proprietary"
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@@ -78775,7 +79958,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2792577683-ORNL_CLOUD.html",
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         "description": "This Global Ecosystem Dynamics Investigation (GEDI) L4B product provides 1 km x 1 km (1 km,  hereafter) estimates of mean aboveground biomass density (AGBD) based on observations from mission week 19 starting on 2019-04-18 to mission week 223 ending on 2023-03-16. The GEDI L4A Footprint Biomass product converts each high-quality waveform to an AGBD prediction, and the L4B product uses the sample present within the borders of each 1 km cell to statistically infer mean AGBD. The gridding procedure is described in the GEDI L4B Algorithm Theoretical Basis Document (ATBD). Patterson et al. (2019) describes the hybrid model-based mode of inference used in the L4B product. Corresponding 1 km estimates of the standard error of the mean are also provided in the L4B product. Uncertainty is due to both GEDI's sampling of the 1 km area (as opposed to making wall-to-wall observations) and the fact that L4A biomass values are modeled in a process subject to error instead of measured in a process that may be assumed to be error-free.",
         "license": "proprietary"
     },
@@ -78788,7 +79971,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3049900163-ORNL_CLOUD.html",
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         "description": "This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4C (L4C) Version 2 predictions of the Waveform Structural Complexity Index (WSCI) and estimates of prediction intervals for each footprint estimate at 95% confidence. In this version, the granules are in sub-orbits. The algorithm setting group selection used for GEDI04_C is the same as in the GEDI02_A product. The footprints are located within the global latitude band observed by the International Space Station (ISS), nominally 51.6 degrees N and S and reported for the period 2019-04-17 to 2023-03-16. The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which instantaneously sample eight ~25 m footprints spaced approximately every 60 m along-track. The GEDI beam transects are spaced approximately 600 m apart on the Earth's surface in the cross-track direction, for an across-track width of ~4.2 km. Footprint WSCI was derived from XGBoost regression models relating simulated GEDI Level 2A (L2A) waveform relative height (RH) metrics to a 3D structural complexity metric calculated from matched Airborne laser Scanning (ALS) point clouds. Four global WSCI models were trained on a plant functional type (PFT) basis (i.e., deciduous broadleaf trees, evergreen broadleaf trees, evergreen needleleaf trees, and the combination of grasslands, shrubs, and woodlands). For each of the eight beams, additional data are reported with the WSCI estimates, including the associated uncertainty metrics, quality flags, and other information about the GEDI L2A waveform for this selected algorithm setting group. Additional model outputs include WSCI predictions for each of the six GEDI L2A algorithm setting groups and associated prediction intervals. Providing these ancillary data products will allow users to evaluate and select alternative algorithm setting groups. The data are provided in HDF5 format.",
         "license": "proprietary"
     },
@@ -79438,7 +80621,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763261621-LPCLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wiZW1pdCBsMmIgZXN0aW1hdGVkIG1pbmVyYWwgaWRlbnRpZmljYXRpb24gYW5kIGJhbmQgZGVwdGggYW5kIHVuY2VydGFpbnR5IDYwIG0gdjAwMVwiLFwiTFBDTE9VRFwiLFwiRU1JVEwyQk1JTlwiLFwiMVwiLDI0MDgwMzQ0ODQsNDddIiwidW1tIjoiW1wiZW1pdCBsMmIgZXN0aW1hdGVkIG1pbmVyYWwgaWRlbnRpZmljYXRpb24gYW5kIGJhbmQgZGVwdGggYW5kIHVuY2VydGFpbnR5IDYwIG0gdjAwMVwiLFwiTFBDTE9VRFwiLFwiRU1JVEwyQk1JTlwiLFwiMVwiLDI0MDgwMzQ0ODQsNDddIn0%3D/GFSAD1KCD_001",
         "description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Global Food Security Support Analysis Data (GFSAD) Crop Dominance Global 1 kilometer (km) dataset was created using multiple input data including: Advanced Very High Resolution Radiometer (AVHRR), Satellite Probatoire d'Observation de la Terre (SPOT) vegetation, and Moderate Resolution Imaging Spectrometer (MODIS) remote sensing data; crop type data, secondary elevation data; 50-year precipitation and 20-year temperature data; reference sub-meter to 5 meter resolution ground data; and country statistic data.    The GFSAD1KCD data were produced for nominal 2010 by overlaying the five dominant crops of the world produced by Ramankutty et al. (2008), Monfreda et al. (2008), and Portman et al. (2009) over the remote sensing derived global irrigated and rainfed cropland area map of the International Water Management Institute (IWMI; Thenkabail et al., 2009a, 2009b, 2011, Biradar et al., 2009) to ultimately create eight classes of crop dominance. The GFSAD1KCD nominal 2010 product is based on data ranging from years 2007 through 2012.  ",
         "license": "proprietary"
     },
@@ -79932,7 +81115,7 @@
         "bbox": "-180, 20, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784897341-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784897341-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGVhZiByZWZsZWN0YW5jZXM6IHBlcmtpbi1lbG1lciAob3R0ZXIpXCIsXCJPUk5MX0NMT1VEXCIsXCJzcGVjdHJhX3Blcmtpbl80OFwiLFwiMVwiLDI4MDQ3NjI5NjMsM10iLCJ1bW0iOiJbXCJsZWFmIHJlZmxlY3RhbmNlczogcGVya2luLWVsbWVyIChvdHRlcilcIixcIk9STkxfQ0xPVURcIixcInNwZWN0cmFfcGVya2luXzQ4XCIsXCIxXCIsMjgwNDc2Mjk2MywzXSJ9/GIMMS3g_NDVI_Trends_1275_1",
         "description": "This data set provides normalized difference vegetation index (NDVI) data for the arctic growing season derived primarily with data from Advanced Very High Resolution Radiometer (AVHRR) sensors onboard several NOAA satellites over the years 1982 through 2012. The NDVI data, which show vegetation activity, were averaged annually for the arctic growing season (GS; June, July and August). The products include the annual GS-NDVI values and the results of a cumulative GS-NDVI time series trends analysis. The data are circumpolar in coverage at 8-km resolution and limited to greater than 20 degrees N.These normalized difference vegetation index (NDVI) trends were calculated using the third generation data set from the Global Inventory Modeling and Mapping Studies (GIMMS 3g). GIMMS 3g improves on its predecessor (GIMMS g) in three important ways. First, GIMMS 3g integrates data from NOAA-17 and 18 satellites to lengthen its record. Second, it addresses the spatial discontinuity north of 72 degrees N, by using SeaWiFS, in addition to SPOT VGT, to calibrate between the second and third versions of the AVHRR sensor (AVHRR/2 and AVHRR/3). Finally, the GIMMS 3g algorithm incorporates improved snowmelt detection and is calibrated based on data from the shorter, arctic growing season (May-September) rather than the entire year (January-December). ",
         "license": "proprietary"
     },
@@ -79958,23 +81141,10 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780535151-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780535151-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGdhcyBmbGFyZSBzdXJ2ZXkgYnkgaW5mcmFyZWQgaW1hZ2luZywgdmlpcnMgbmlnaHRmaXJlLCAyMDEyLTIwMTlcIixcIk9STkxfQ0xPVURcIixcIk1ldGhhbmVfRmxhcmluZ19TaXRlc19WSUlSU18xODc0XCIsXCIxXCIsMjM0NTg3NzU1NCw1XSIsInVtbSI6IltcImdsb2JhbCBnYXMgZmxhcmUgc3VydmV5IGJ5IGluZnJhcmVkIGltYWdpbmcsIHZpaXJzIG5pZ2h0ZmlyZSwgMjAxMi0yMDE5XCIsXCJPUk5MX0NMT1VEXCIsXCJNZXRoYW5lX0ZsYXJpbmdfU2l0ZXNfVklJUlNfMTg3NFwiLFwiMVwiLDIzNDU4Nzc1NTQsNV0ifQ%3D%3D/GIS_EastAngliaClimateMonthly_551_1",
         "description": "A 0.5 degree lat/lon data set of monthly surface climate over global land areas, excluding Antarctica. Primary variables are interpolated directly from station time-series: precipitation, mean temperature and diurnal temperature range.",
         "license": "proprietary"
     },
-    {
-        "id": "GLAH01_033",
-        "title": "GLAS/ICESat L1A Global Altimetry Data (HDF5) V033",
-        "catalog": "NSIDC_ECS STAC Catalog",
-        "state_date": "2003-02-20",
-        "end_date": "2009-10-11",
-        "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH01_033",
-        "description": "Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter.  Each data granule has an associated browse product.",
-        "license": "proprietary"
-    },
     {
         "id": "GLAH01_033",
         "title": "GLAS/ICESat L1A Global Altimetry Data (HDF5) V033",
@@ -79989,16 +81159,16 @@
         "license": "proprietary"
     },
     {
-        "id": "GLAH02_033",
-        "title": "GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033",
+        "id": "GLAH01_033",
+        "title": "GLAS/ICESat L1A Global Altimetry Data (HDF5) V033",
         "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH02_033",
-        "description": "GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product.",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH01_033",
+        "description": "Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
@@ -80015,16 +81185,16 @@
         "license": "proprietary"
     },
     {
-        "id": "GLAH03_033",
-        "title": "GLAS/ICESat L1A Global Engineering Data (HDF5) V033",
+        "id": "GLAH02_033",
+        "title": "GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033",
         "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH03_033",
-        "description": "Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH02_033",
+        "description": "GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
@@ -80041,16 +81211,16 @@
         "license": "proprietary"
     },
     {
-        "id": "GLAH04_033",
-        "title": "GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033",
+        "id": "GLAH03_033",
+        "title": "GLAS/ICESat L1A Global Engineering Data (HDF5) V033",
         "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH04_033",
-        "description": "Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH03_033",
+        "description": "Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.",
         "license": "proprietary"
     },
     {
@@ -80066,6 +81236,19 @@
         "description": "Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.",
         "license": "proprietary"
     },
+    {
+        "id": "GLAH04_033",
+        "title": "GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033",
+        "catalog": "NSIDC_ECS STAC Catalog",
+        "state_date": "2003-02-20",
+        "end_date": "2009-10-11",
+        "bbox": "-180, -86, 180, 86",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH04_033",
+        "description": "Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.",
+        "license": "proprietary"
+    },
     {
         "id": "GLAH05_034",
         "title": "GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034",
@@ -80095,52 +81278,52 @@
     {
         "id": "GLAH06_034",
         "title": "GLAS/ICESat L1B Global Elevation Data (HDF5) V034",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH06_034",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH06_034",
         "description": "GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
         "id": "GLAH06_034",
         "title": "GLAS/ICESat L1B Global Elevation Data (HDF5) V034",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH06_034",
         "description": "GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
         "id": "GLAH07_033",
         "title": "GLAS/ICESat L1B Global Backscatter Data (HDF5) V033",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH07_033",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH07_033",
         "description": "GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
         "id": "GLAH07_033",
         "title": "GLAS/ICESat L1B Global Backscatter Data (HDF5) V033",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH07_033",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH07_033",
         "description": "GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
@@ -80225,26 +81408,26 @@
     {
         "id": "GLAH11_033",
         "title": "GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH11_033",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991871-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991871-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/GLAH11_033",
         "description": "GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
         "id": "GLAH11_033",
         "title": "GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991871-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991871-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/GLAH11_033",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH11_033",
         "description": "GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product.",
         "license": "proprietary"
     },
@@ -80277,26 +81460,26 @@
     {
         "id": "GLAH13_034",
         "title": "GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/GLAH13_034",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH13_034",
         "description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
         "id": "GLAH13_034",
         "title": "GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH13_034",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/GLAH13_034",
         "description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
@@ -80361,7 +81544,7 @@
         "bbox": "-170, 10, -50, 73",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763264695-LPCLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763264695-LPCLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wiZW1pdCBsMmIgZXN0aW1hdGVkIG1pbmVyYWwgaWRlbnRpZmljYXRpb24gYW5kIGJhbmQgZGVwdGggYW5kIHVuY2VydGFpbnR5IDYwIG0gdjAwMVwiLFwiTFBDTE9VRFwiLFwiRU1JVEwyQk1JTlwiLFwiMVwiLDI0MDgwMzQ0ODQsNDZdIiwidW1tIjoiW1wiZW1pdCBsMmIgZXN0aW1hdGVkIG1pbmVyYWwgaWRlbnRpZmljYXRpb24gYW5kIGJhbmQgZGVwdGggYW5kIHVuY2VydGFpbnR5IDYwIG0gdjAwMVwiLFwiTFBDTE9VRFwiLFwiRU1JVEwyQk1JTlwiLFwiMVwiLDI0MDgwMzQ0ODQsNDZdIn0%3D/GLCHMK_001",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wiZW1pdCBsMmIgZXN0aW1hdGVkIG1pbmVyYWwgaWRlbnRpZmljYXRpb24gYW5kIGJhbmQgZGVwdGggYW5kIHVuY2VydGFpbnR5IDYwIG0gdjAwMVwiLFwiTFBDTE9VRFwiLFwiRU1JVEwyQk1JTlwiLFwiMVwiLDI0MDgwMzQ0ODQsNDddIiwidW1tIjoiW1wiZW1pdCBsMmIgZXN0aW1hdGVkIG1pbmVyYWwgaWRlbnRpZmljYXRpb24gYW5kIGJhbmQgZGVwdGggYW5kIHVuY2VydGFpbnR5IDYwIG0gdjAwMVwiLFwiTFBDTE9VRFwiLFwiRU1JVEwyQk1JTlwiLFwiMVwiLDI0MDgwMzQ0ODQsNDddIn0%3D/GLCHMK_001",
         "description": "Goddard\u2019s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT(https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico.    The purpose of G-LiHT\u2019s Canopy Height Model Keyhole Markup Language (KML) data product (GLCHMK) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA\u2019s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed.      GLCHMK data are processed as a Google Earth overlay KML file at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format. ",
         "license": "proprietary"
     },
@@ -80374,7 +81557,7 @@
         "bbox": "-170, 10, -50, 73",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763264702-LPCLOUD.html",
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         "description": "Goddard\u2019s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the coterminous United States (CONUS), Alaska, Puerto Rico, and Mexico.    The purpose of G-LiHT\u2019s LiDAR Point Cloud data product (GLLIDARPC) is to provide high-density individual LiDAR return data, including 3D coordinates, classified ground returns, Above Ground Level (AGL) heights, and LiDAR apparent reflectance.     GLLIDARPC data are processed as a LAS Version 1.1 binary format specified by the American Society for Photogrammetry and Remote Sensing (ASPRS). The point cloud includes a density of more than 10 points per square meter. A low resolution browse is also provided showing the LiDAR Point Cloud as an Inverse Data Weighted (IDW) interpolation in PNG format.   ",
         "license": "proprietary"
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         "license": "proprietary"
     },
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         "license": "proprietary"
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         "license": "proprietary"
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         "description": "Goddard\u2019s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the coterminous United States (CONUS), Alaska, Puerto Rico, and Mexico.    The purpose of G-LiHT\u2019s Hyperspectral Reflectance data product (GLREFL) is to provide high-resolution reflectance data, ranging in wavelength from 418 to 920 nanometers across 114 spectral ranges. Reflectance data is computed as the ratio between observed upwelling radiance and downwelling hemispheric irradiance and corrected for differences in cross-track illumination and Bidirectional Reflectance Distribution Function (BRDF) using an empirically derived multiplier. At a nominal flying height of 335 m above ground level (AGL), the at-sensor reflectance is a close approximation of surface reflectance.     GLREFL data are processed as a zipped raster data product (GeoTIFF) with associated header file (.hdr) at 1-meter spatial resolution over locally defined areas. A low-resolution browse is also provided with a color map applied in PNG format.   ",
         "license": "proprietary"
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         "license": "proprietary"
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Aerosol Product subset for the GoMACCS region V002 contains Aerosol optical depth and particle type, with associated atmospheric data.",
         "license": "proprietary"
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 Land Surface Product subset for the GoMACCS region V002 contains information on land directional reflectance properties; albedos (spectral and photosynthetically active radiation (PAR) integrated); fraction of absorbed photosynthetically active radiation (FPAR); associated radiation parameters; and terrain-referenced geometric parameters.",
         "license": "proprietary"
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Terrain Product subset for the GoMACCS region V003 contains Terrain-projected TOA Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.",
         "license": "proprietary"
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@@ -84534,7 +85717,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2390701035-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2390701035-ORNL_CLOUD.html",
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         "description": "This dataset includes estimates of gross primary production (GPP) for the conterminous U.S., for 2018-02-15 to 2021-10-15, based on measurements of solar-induced chlorophyll fluorescence from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5P satellite platform. GPP was estimated from rates of photosynthesis inferred from SIF using a linear model and ecosystem scaling factors from 102 AmeriFlux sites. Knowledge of the spatiotemporal patterns of GPP is necessary for understanding regional and global carbon budgets. Broad-scale estimates of GPP have typically relied upon carbon cycle models linking spatial patterns of vegetation with remotely sensed environmental data. SIF provides a means to directly estimate photosynthetic activity, and therefore, GPP. Recent deployments of satellite platforms that measure SIF provide near-real-time measurements and represent a breakthrough in measuring GPP on a global scale.   Regular SIF measurements can detect spatially explicit ecosystem-level responses to climate events such as drought and flooding. This dataset includes spatially explicit estimates of GPP (g m-2 d-1), uncertainty in GPP, and related TROPOMI SIF measurements (mW m-2 sr-1 nm-1) at 500-m resolution.  The data are provided in NetCDF format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2445456434-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2445456434-ORNL_CLOUD.html",
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         "description": "This dataset contains gridded estimations of daily ecosystem Gross Primary Production (GPP) in grams of carbon per day at a 1 km2 spatial resolution over Alaska and Canada from 2000-01-01 to 2018-01-01. Daily estimates of GPP were derived from a light-curve model that was fitted and validated over a network of ABoVE domain Ameriflux flux towers then upscaled using MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) data to span the extended ABoVE domain. In general, the methods involved three steps; the first step involved collecting and processing mainly carbon-flux site-level data, the second step involved the analysis and correction of site-level MAIAC data, and the final step developed a framework to produce large-scale estimates of GPP. The light-curve parameter model was generated by upscaling from flux tower sub-daily temporal resolution by deconvolving the GPP variable into 3 components: the absorbed photosynthetically active radiation (aPAR), the maximum GPP or maximum photosynthetic capacity (GPPmax), and the photosynthetic limitation or amount of light needed to reach maximum capacity (PPFDmax). GPPmax and PPFDmax were related to satellite reflectance measurements sampled at the daily scale. GPP over the extended ABoVE domain was estimated at a daily resolution from the light-curve parameter model using MODIS MAIAC daily reflectance as input. This framework allows large-scale estimates of phenology and evaluation of ecosystem sensitivity to climate change.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751481399-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751481399-ORNL_CLOUD.html",
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         "description": "The BigFoot project gathered Gross Primary Production (GPP) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2004.  Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. BigFoot was funded by NASA's Terrestrial Ecology Program.For more details on the BigFoot Project, please visit the website: http://www.fsl.orst.edu/larse/bigfoot/index.html.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773213452-ORNL_CLOUD.html",
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         "description": "This dataset provides multiple-return LiDAR-derived vegetation canopy structure at 30-meter spatial resolution for the Great Smoky Mountains National Park (GSMNP). Canopy characteristics were analyzed using high resolution three-dimensional point cloud measurements gathered between February-April 2011 for Tennessee and during March-April 2005 for North Carolina sections of the park. Vegetation types were mapped by grouping areas of similar canopy structure. The map was compared and validated against existing vegetation maps for the park.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763367695-ORNL_CLOUD.html",
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         "description": "This data set provides global forest area, forest growing stock, and forest biomass data at 1-degree resolution for the period 1950-2010. The data set is based on a compilation of forest area and growing stock data reported in international assessments performed by FAO, MCPFE (now Forest Europe), and UNECE. Data of different assessments are to the extent possible harmonized to reflect both forest area and other wooded land, to be comparable between countries and assessments.",
         "license": "proprietary"
     },
@@ -85847,7 +87030,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767477592-ORNL_CLOUD.html",
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         "description": "This dataset provides global clumping index (CI) data for 2006 derived from the MODIS Bidirectional Reflectance Distribution Function (BRDF) data product. Clumping index is a key structural parameter of plant canopies which represents the degree of foliage grouping within distinct canopy structures relative to a random distribution. The data are provided at substantially higher resolution (500-m) than existing clumping index data products.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2840821292-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2840821292-ORNL_CLOUD.html",
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         "description": "This dataset provides monthly globally gridded freshwater wetland methane emissions from 2001-2018 in nmol CH4 m-2 s-1, g C-CH4 m-2 d-1, and TgCH4 grid cell-1 month-1. The data were derived from a six-predictor random forest upscaling model (UpCH4) trained on 119 site-years of eddy covariance CH4 flux data from 43 freshwater wetland sites covering bog (8), fen (8), marsh (10), swamp (6), and wet tundra (11) wetland classes and distributed across Arctic-boreal (20), temperate (16), and (sub)tropical (7) climate zones. Weekly mean CH4 fluxes were computed from half-hourly FLUXNET-CH4 Version 1.0 fluxes. Each grid cell CH4 flux prediction was weighted by fractional grid cell wetland extent to estimate CH4 emissions using the primary global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) product and an alternate Global Inundation Estimate from Multiple Satellites GIEMS version 2 global wetland map. Both WAD2M and GIEMS-2 maps were modified with several correction data layers to represent the monthly area covered by vegetated wetlands, excluding open water and coastal wetlands. The data products are: mean daily fluxes with no adjustment for wetland area (i.e., flux densities assuming hypothetical 100% wetland cover); mean daily fluxes adjusting for WAD2M or GIEMS-2 wetland area; and by-pixel monthly sum of freshwater wetland methane emissions adjusting for WAD2M or GIEMS-2 wetland area. The data are provided in NetCDF4 format.",
         "license": "proprietary"
     },
@@ -85886,7 +87069,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864285-ORNL_CLOUD.html",
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         "description": "This dataset - HYSOGs250m - represents a globally consistent, gridded dataset of hydrologic soil groups (HSGs) with a geographical resolution of 1/480 decimal degrees, corresponding to a projected resolution of approximately 250-m. These data were developed to support USDA-based curve-number runoff modeling at regional and continental scales. Classification of HSGs was derived from soil texture classes and depth to bedrock provided by the Food and Agriculture Organization soilGrids250m system.",
         "license": "proprietary"
     },
@@ -85899,7 +87082,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764746271-ORNL_CLOUD.html",
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         "description": "This dataset provides global gridded information on lake surface area and open water CH4 emissions at a resolution of 0.25-degree x 0.25-degree for an annual climatology representative of the average conditions from 2003 to 2015. A compilation of flux data from 575 individual lake systems and 893 aggregated flux values were used, and each flux measurement was classified into one of seven ecoclimatic types. Ice-cover-regulated emission seasonality was derived from satellite microwave observations of ice cover phenology and freeze-thaw dynamics. Global lake area was determined from the merger of HydroLAKES and Climate Change Initiative Inland-Water (CCI-IW) remote-sensing data, and lakes were classified into ecoclimatic regions to facilitate linking these types with ecosystem-specific CH4 measurements in the flux compilation. Exploratory estimates of fluxes associated with ice melt and with spring and fall water-column turnover are also included. The data are provided in NetCDF format.",
         "license": "proprietary"
     },
@@ -85964,7 +87147,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764708636-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764708636-ORNL_CLOUD.html",
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         "description": "This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at a 300-m spatial resolution. The aboveground biomass map integrates land-cover specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were amassed from the published literature and, where necessary, updated to cover the focal extent or time period. The belowground biomass map similarly integrates matching maps derived from each aboveground biomass map and land-cover specific empirical models. Aboveground and belowground maps were then integrated separately using ancillary maps of percent tree cover and landcover and a rule-based decision tree. Maps reporting the accumulated uncertainty of pixel-level estimates are also provided.",
         "license": "proprietary"
     },
@@ -85990,7 +87173,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764742564-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764742564-ORNL_CLOUD.html",
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         "description": "This dataset provides global monthly average gross primary productivity (GPP; g carbon/m2/d) modeled at 8 km spatial resolution for each of the 35 years from 1982-2016. GPP is based on the well-known Monteith light use efficiency (LUE) equation but was improved with optimized spatially and temporally explicit LUE values derived from selected FLUXNET tower site data. Optimized LUE was extrapolated to a consistent 8 km resolution global grid using multiple explanatory variables representing climatic, landscape, and vegetation factors influencing LUE and GPP. Global gridded long-term daily GPP was derived using the optimized LUE, Global Inventory Modeling and Mapping Studies (GIMMS3g) canopy fraction of photosynthetically active radiation (FPAR), and Modern-Era Retrospective analysis for Research and Applications, Version 2, (MERRA-2) meteorological information. These data will improve satellite-based estimation and understanding of GPP using a refined LUE model framework.",
         "license": "proprietary"
     },
@@ -86003,7 +87186,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863372-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863372-ORNL_CLOUD.html",
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         "description": "This data set provides estimates of different forms of naturally occurring soil phosphorus (P) including labile inorganic P, organic P, occluded P, secondary mineral P, apatite P, and total P on a global scale at 0.5-degree resolution. The data were assembled from chronosequence information and global spatial databases to develop a map of total soil P and the distribution among mineral bound, labile, organic, occluded, and secondary P forms in soils. Uncertainty was calculated for the different forms. The data set has no explicit temporal component -- data were nominally for the pre-industrial period ca. 1850.The estimated global spatial variation and distribution of different soil P forms presented in this study will be useful for global biogeochemistry models that include P as a limiting element in biological production by providing initial estimates of the available soil P for plant uptake and microbial utilization (Yang et al., 2013).There is one netCDF data file (.nc) with this data set. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2515869951-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515869951-ORNL_CLOUD.html",
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         "description": "This dataset includes global maps of methane (CH4) emissions from inland dam-reservoir systems at 0.25-degree spatial resolution. Daily emission rates (as grams of CH4 per day per total area of grid cell) were estimated for boreal, temperate, and subtropical-tropical eco-climatic domains and total emissions. The annual duration of the emission season is based on freeze-thaw cycles of these water bodies as applicable. In addition, the dataset includes the total fractional area of reservoirs in each grid cell. These estimates will promote understanding of the current and future role of reservoirs in the global CH4 budget and guide efforts to mitigate reservoir-related CH4 emissions. These emission estimates are climatological; one daily value for each day of year (n=365) is provided for each grid cell. Modeled estimates were based on daily mean inputs, averaged over 2002 to 2015.",
         "license": "proprietary"
     },
@@ -86055,7 +87238,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389020006-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389020006-ORNL_CLOUD.html",
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         "description": "This dataset provides modeled estimates of annual nitrous oxide (N2O) emissions at a coarse geographic scale (0.5 x 0.5 degree) for two sets of global rivers and streams covering the period of 1900-2016. Emissions (g N2O-N/yr) are provided for higher-order rivers and streams (>=4th order) and headwater streams (<4th order). The estimates were derived from a water transport model, the Model for Scale Adaptive River Transport (MOSART), coupled with the Dynamic Land Ecosystem Model (DLEM) to link hydrology and ecosystem processes pertaining to N2O flux and transport. Factors driving the model included climate, land use and land cover, and nitrogen inputs (i.e., fertilizer, deposition, manure, and sewage). Nitrogen discharges from streams and rivers to the ocean were calibrated from observations from 50 river basins across the globe.",
         "license": "proprietary"
     },
@@ -86068,7 +87251,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207986708-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207986708-ORNL_CLOUD.html",
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         "description": "This dataset provides spatially-contiguous global mean daily solar-induced chlorophyll fluorescence (SIF) estimates at 0.05 degree (approximately 5 km at the equator) spatial and 16-day temporal resolution from September 2014 through July 2020. This product was derived from Orbiting Carbon Observatory-2 (OCO-2) SIF observations and produced by training an artificial neural network (ANN) on the native OCO-2 SIF observations and MODIS BRDF-corrected seven-band surface reflectance along OCO-2's orbits. The trained ANN model was then applied to predict mean daily SIF (mW/m2/nm/sr) in OCO-2's gap regions based on MODIS reflectance and landcover. This framework was stratified by biomes and 16-day time steps. This dataset's high resolution and global contiguous coverage will greatly enhance the synergy between satellite SIF and photosynthesis measured on the ground at consistent spatial scales. Potential applications of this dataset include advancing dynamic drought monitoring and mitigation, informing agricultural planning and yield estimation, and providing a benchmark for upcoming satellite missions with SIF capabilities at higher spatial resolutions.",
         "license": "proprietary"
     },
@@ -86081,7 +87264,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2575421513-ORNL_CLOUD.html",
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         "description": "This dataset provides global salt marsh change, including loss and gain for five-year periods from 2000-2019. Loss and gain at a 30 m spatial resolution were estimated with Normalized Difference Vegetation Index (NDVI) anomaly algorithm using Landsat 5, 7, and 8 collections within the known extent of salt marshes. The data are provided in cloud-optimized GeoTIFF format.",
         "license": "proprietary"
     },
@@ -86094,7 +87277,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864025-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864025-ORNL_CLOUD.html",
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         "description": "This data set provides high-resolution estimates of the thickness of the permeable layers above bedrock (soil, regolith, and sedimentary deposits) within a global 30-arcsecond (~1-km) grid using the best available data for topography, climate, and geology as input. These data are modeled to represent estimated thicknesses by landform type for the geological present.",
         "license": "proprietary"
     },
@@ -86107,7 +87290,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2759076389-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2759076389-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJpdmVyIGRpc2NoYXJnZSwgMTgwNy0xOTkxLCB2W2Vyc2lvbl0uIDEuMSAocml2ZGlzKVwiLFwiT1JOTF9DTE9VRFwiLFwicml2ZGlzXzE5OVwiLFwiMVwiLDI3NTYyMzA3ODUsNF0iLCJ1bW0iOiJbXCJnbG9iYWwgcml2ZXIgZGlzY2hhcmdlLCAxODA3LTE5OTEsIHZbZXJzaW9uXS4gMS4xIChyaXZkaXMpXCIsXCJPUk5MX0NMT1VEXCIsXCJyaXZkaXNfMTk5XCIsXCIxXCIsMjc1NjIzMDc4NSw0XSJ9/Global_Veg_Greenness_GIMMS_3G_2187_1",
         "description": "This dataset holds the Global Inventory Modeling and Mapping Studies-3rd Generation V1.2 (GIMMS-3G+) data for the Normalized Difference Vegetation Index (NDVI). NDVI was based on corrected and calibrated measurements from Advanced Very High Resolution Radiometer (AVHRR) data with a spatial resolution of 0.0833 degree and global coverage for 1982 to 2022. Maximum NDVI values are reported within twice monthly compositing periods (two values per month). The dataset was assembled from different AVHRR sensors and accounts for various deleterious effects, such as calibration loss, orbital drift, and volcanic eruptions. The data are provided in NetCDF format.",
         "license": "proprietary"
     },
@@ -86354,7 +87537,7 @@
         "bbox": "-20.61, -34.81, 61.53, 22.01",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2762262652-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2762262652-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJpdmVyIGRpc2NoYXJnZSwgMTgwNy0xOTkxLCB2W2Vyc2lvbl0uIDEuMSAocml2ZGlzKVwiLFwiT1JOTF9DTE9VRFwiLFwicml2ZGlzXzE5OVwiLFwiMVwiLDI3NTYyMzA3ODUsNF0iLCJ1bW0iOiJbXCJnbG9iYWwgcml2ZXIgZGlzY2hhcmdlLCAxODA3LTE5OTEsIHZbZXJzaW9uXS4gMS4xIChyaXZkaXMpXCIsXCJPUk5MX0NMT1VEXCIsXCJyaXZkaXNfMTk5XCIsXCIxXCIsMjc1NjIzMDc4NSw0XSJ9/Gridded_Biomass_Africa_1777_1",
         "description": "This dataset provides maps of woody (tree and shrub) cover and biomass across Sub-Saharan Africa at a resolution of 1 km for the period 2000-2004. Canopy cover observations and remote-sensing data related to woody vegetation were used to predict woody cover across Africa. Predicted woody cover, canopy height, and tree allometry were used to estimate woody biomass for Sub-Saharan Africa. Canopy cover observations were assembled from field measurements and Google Earth imagery collected from 2000-2004. Remote-sensing data related to the structural attributes of woody vegetation were derived from MODIS optical data and Q-SCAT (Quick Scatterometer) microwave measurements. Canopy height estimates were derived from spaceborne lidar and tree allometry equations were retrieved from GlobAllomeTree.",
         "license": "proprietary"
     },
@@ -86679,7 +87862,7 @@
         "bbox": "-102, 28, -73, 50",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2704996986-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704996986-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIiwidW1tIjoiW1wiYWJvdmU6IHdldGxhbmQgdHlwZSwgc2xhdmUgcml2ZXIgYW5kIHBlYWNlLWF0aGFiYXNjYSBkZWx0YXMsIGNhbmFkYSwgMjAwNyBhbmQgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiRWNvc3lzdGVtX01hcF9TUkRfUEFEXzE5NDdcIixcIjFcIiwyMjQwNzI3Nzk5LDVdIn0%3D/HALO_LiDAR_AOP_ML_Heights_1833_1",
         "description": "This dataset provides measurements from the High Altitude Lidar Observatory (HALO) instrument, an airborne multi-function Differential Absorption Lidar (DIAL) and High Spectral Resolution Lidar (HSRL), operating at 532 nm and 1064 nm wavelengths onboard a C-130 aircraft during the June and July 2019 ACT-America campaign. The flights took place over eastern and central North America based from Shreveport, Louisiana; Lincoln, Nebraska; and NASA Wallops Flight Facility located on the eastern shore of Virginia. HALO data were sampled at 0.5 s temporal and 1.25 m vertical resolutions. The data include profiles of aerosol optical properties (AOP), distributions of mixed layer heights (MLH), columns of tropospheric methane, and navigation parameters. The data are provided in HDF5 format along with PNG images and a companion files in Portable Document (*.pdf) format.",
         "license": "proprietary"
     },
@@ -86865,19 +88048,6 @@
         "description": "This product provides level 3 monthly averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the globe oversampled to a spatial resolution of 0.1\u02da x 0.1\u02da (~10 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in January 2019 and continues to the present.   This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time.  NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations. ",
         "license": "proprietary"
     },
-    {
-        "id": "HAWKEYE_L1_1",
-        "title": "SeaHawk-1 HawkEye Level-1A  Data, version 1",
-        "catalog": "OB_CLOUD STAC Catalog",
-        "state_date": "2018-12-03",
-        "end_date": "2023-10-27",
-        "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3160685741-OB_CLOUD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3160685741-OB_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGFjZSBvY2kgbGV2ZWwtMyBnbG9iYWwgbWFwcGVkIHBob3Rvc3ludGhldGljYWxseSBhY3RpdmUgcmFkaWF0aW9uIChwYXIpIGRhdGEsIHZlcnNpb24gMi4wXCIsXCJPQl9DTE9VRFwiLFwiUEFDRV9PQ0lfTDNNX1BBUlwiLFwiMi4wXCIsMzAyMDkyNDQzOCw2XSIsInVtbSI6IltcInBhY2Ugb2NpIGxldmVsLTMgZ2xvYmFsIG1hcHBlZCBwaG90b3N5bnRoZXRpY2FsbHkgYWN0aXZlIHJhZGlhdGlvbiAocGFyKSBkYXRhLCB2ZXJzaW9uIDIuMFwiLFwiT0JfQ0xPVURcIixcIlBBQ0VfT0NJX0wzTV9QQVJcIixcIjIuMFwiLDMwMjA5MjQ0MzgsNl0ifQ%3D%3D/HAWKEYE_L1_1",
-        "description": "The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON).",
-        "license": "proprietary"
-    },
     {
         "id": "HAWKEYE_L1_1",
         "title": "SeaHawk HawkEye Level-1 Data, version 1",
@@ -86891,6 +88061,19 @@
         "description": "The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide  high quality, high resolution imagery (120 meter) of the open ocean, coastal zones,  lakes, estuaries and land features. This ability provides a valuable complement to  the lower resolution measurements from previous missions like SeaWiFS, MODIS and  VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University  of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and  is funded by the Moore Foundation under a grant for the Sustained Ocean Color  Observations with Nanosatellites (SOCON).",
         "license": "proprietary"
     },
+    {
+        "id": "HAWKEYE_L1_1",
+        "title": "SeaHawk-1 HawkEye Level-1A  Data, version 1",
+        "catalog": "OB_CLOUD STAC Catalog",
+        "state_date": "2018-12-03",
+        "end_date": "2023-10-27",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3160685741-OB_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3160685741-OB_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGFjZSBvY2kgbGV2ZWwtMyBnbG9iYWwgbWFwcGVkIHBob3Rvc3ludGhldGljYWxseSBhY3RpdmUgcmFkaWF0aW9uIChwYXIpIGRhdGEsIHZlcnNpb24gMi4wXCIsXCJPQl9DTE9VRFwiLFwiUEFDRV9PQ0lfTDNNX1BBUlwiLFwiMi4wXCIsMzAyMDkyNDQzOCw2XSIsInVtbSI6IltcInBhY2Ugb2NpIGxldmVsLTMgZ2xvYmFsIG1hcHBlZCBwaG90b3N5bnRoZXRpY2FsbHkgYWN0aXZlIHJhZGlhdGlvbiAocGFyKSBkYXRhLCB2ZXJzaW9uIDIuMFwiLFwiT0JfQ0xPVURcIixcIlBBQ0VfT0NJX0wzTV9QQVJcIixcIjIuMFwiLDMwMjA5MjQ0MzgsNl0ifQ%3D%3D/HAWKEYE_L1_1",
+        "description": "The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON).",
+        "license": "proprietary"
+    },
     {
         "id": "HAWKEYE_L2_OC_2018.0",
         "title": "SeaHawk HawkEye Regional Ocean Color (OC) Data, version 2018.0",
@@ -87476,6 +88659,19 @@
         "description": "The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard Europe\u2019s Copernicus Sentinel-2A and Sentinel-2B satellites. The combined measurement enables global observations of the land every 2\u20133 days at 30-meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MSI that include atmospheric correction, cloud and cloud-shadow masking, spatial co-registration and common gridding, illumination and view angle normalization, and spectral bandpass adjustment.     The HLSS30 product provides 30-m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from Sentinel-2A and Sentinel-2B MSI data products. The HLSS30 and HLSL30 products are gridded to the same resolution and Military Grid Reference System (MGRS) (https://hls.gsfc.nasa.gov/products-description/tiling-system/) tiling system, and thus are \u201cstackable\u201d for time series analysis.    The HLSS30 product is provided in Cloud Optimized GeoTIFF (COG) format, and each band is distributed as a separate COG. There are 13 bands included in the HLSS30 product along with four angle bands and a quality assessment (QA) band. See the User Guide for a more detailed description of the individual bands provided in the HLSS30 product.  ",
         "license": "proprietary"
     },
+    {
+        "id": "HMA2_DCG_SMB_1",
+        "title": "High Mountain Asia 2 m DEM, Surface Velocity, and Lagrangian Surface Mass Balance for Select Debris Covered Glaciers V001",
+        "catalog": "NSIDC_ECS STAC Catalog",
+        "state_date": "2012-12-23",
+        "end_date": "2017-12-22",
+        "bbox": "85.51, 27.85, 87, 28.39",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3226193732-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3226193732-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/HMA2_DCG_SMB_1",
+        "description": "This High Mountain Asia data set contains 2 m resolution digital elevation models (DEMs), surface velocities, surface mass balance (SMB) rates, and SMB uncertainties for six debris-covered glaciers in Nepal.  SMB rate is estimated by applying a Lagrangian specification to DEMs derived from very-high-resolution optical stereo imagery acquired by Maxar Technologies satellites WorldView-1, WorldView-2, WorldView-3, and GeoEye-1.  This data set was granted permission for public release on 1 March 2024 under the National Reconnaissance Office (NRO) Electro-Optical Commercial Layer (EOCL) program.",
+        "license": "proprietary"
+    },
     {
         "id": "HMA2_DDSMET_1",
         "title": "High Mountain Asia 4-km Dynamically Downscaled Meteorological Data, 2000-2015 V001",
@@ -87498,7 +88694,7 @@
         "bbox": "60.025, 20.025, 110.975, 45.975",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2815757433-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2815757433-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiaGlnaCBtb3VudGFpbiBhc2lhIDgtbWV0ZXIgZGVtcyBkZXJpdmVkIGZyb20gYWxvbmctdHJhY2sgb3B0aWNhbCBpbWFnZXJ5IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiSE1BX0RFTThtX0FUXCIsXCIxXCIsMTQ0MjA5MjMwOSw5NF0iLCJ1bW0iOiJbXCJoaWdoIG1vdW50YWluIGFzaWEgOC1tZXRlciBkZW1zIGRlcml2ZWQgZnJvbSBhbG9uZy10cmFjayBvcHRpY2FsIGltYWdlcnkgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJITUFfREVNOG1fQVRcIixcIjFcIiwxNDQyMDkyMzA5LDk0XSJ9/HMA2_DSPAT_1",
         "description": "This data set consists of daily, 5 km resolution precipitation and mean, near-surface air temperature projections from 2015 through 2100 for the High Mountain Asia (HMA) region. The data were generated by statistically downscaling 0.5\u00b0 resolution model data from the Geophysical Fluid Dynamic Laboratory (GFDL) Seamless System for Prediction and EArth System Research (SPEAR) 30-member ensemble climate model.  Projections are provided for two Shared Socioeconomic Pathways (SSPs): SSP2-4.5 and SSP5 8.5. A historical model run from 1990 through 2014 is also available.",
         "license": "proprietary"
     },
@@ -87563,7 +88759,7 @@
         "bbox": "60, 20, 111, 46",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2866651061-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2866651061-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiaGlnaCBtb3VudGFpbiBhc2lhIDgtbWV0ZXIgZGVtcyBkZXJpdmVkIGZyb20gYWxvbmctdHJhY2sgb3B0aWNhbCBpbWFnZXJ5IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiSE1BX0RFTThtX0FUXCIsXCIxXCIsMTQ0MjA5MjMwOSw5NF0iLCJ1bW0iOiJbXCJoaWdoIG1vdW50YWluIGFzaWEgOC1tZXRlciBkZW1zIGRlcml2ZWQgZnJvbSBhbG9uZy10cmFjayBvcHRpY2FsIGltYWdlcnkgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJITUFfREVNOG1fQVRcIixcIjFcIiwxNDQyMDkyMzA5LDk0XSJ9/HMA2_LHI_1",
         "description": "This data set projects the daily hazard of rainfall-triggered landslides in the High Mountain Asia region from 2015 through 2100, at 5 km resolution. Projections are provided for two Shared Socioeconomic Pathways (SSPs)\u2014SSP2-4.5 and SSP5 8.5\u2014based on temperature and precipitation projections from a 30-member ensemble climate model.  Landslide hazard is represented by a landslide hazard indicator (LHI), computed with a machine learning model trained on historical temperatures and precipitation and a catalog of documented landslides.  The historical landslides used to train the model are available as a separate record.",
         "license": "proprietary"
     },
@@ -87589,7 +88785,7 @@
         "bbox": "86.93, 26.94, 87.58, 28.11",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2217578876-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2217578876-NSIDC_ECS.html",
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         "description": "The transboundary Pumpqu/Arun River basin spreads across Nepal and Tibet. Nearly 95% of the basin lies in Tibet through which the Pumpqu River flows. The river is named the Arun River once it enters Nepal. Five large hydropower projects (in total about 3,163 MW) are currently under construction or are planned for the Arun River valley. Rainfall and earthquake-induced landslides, landslide dammed lakes, and landslide-induced glacial lake outburst floods pose major risks to the smooth operation of these projects. This data set is a multitemporal landslide inventory covering the whole Pumpqu/Arun River basin. It was generated in support of the World Bank\u2019s Risk Assessment of Landslides in the Upper Arun Hydropower Project.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808112558-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808112558-NSIDC_ECS.html",
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         "description": "This data set consists of a water budget reanalysis for the High Mountain Asia (HMA) region spanning the years 2003 through 2020. Estimates are provided for more than 30 parameters, including storages; fluxes; snow depth, extent, and snow water equivalent; temperature (land surface, soil, snow, and ice); surface albedo; soil moisture; evapotranspiration; and streamflow.  The data were generated using the Noah Multi-Parameterization (Noah-MP) land surface model (Version 4.0.1), driven by precipitation estimates and hydrological inputs developed specifically for HMA.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2747406206-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2747406206-NSIDC_ECS.html",
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         "description": "This High Mountain Asia (HMA) data set comprises a suite of monthly and yearly water balance model (WBM) projections for the years 2016 \u2013 2099, covering parts of Afghanistan, Tajikistan, Kyrgyzstan, and Pakistan (primarily the headwaters of the Amu Darya and Indus River basins).  Projections are available for 12 Coupled Model Intercomparison Project Phase 6 (CMIP6) global climate models and two Shared Socioeconomic Pathways (SSP 2-4.5 and SSP 5-8.5). The data were generated using the University of New Hampshire WBM.  A historical run is also available for the years 1980 through 2018, using as input ERA5 reanalysis temperature data and ensemble precipitation estimates.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1624993410-NSIDC_ECS.html",
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         "description": "This data set contains meteorological data, such as air temperature, pressure, rainfall intensity, relative humidity, and wind direction/speed measured by the International Centre for Integrated Mountain Development (ICIMOD).",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1432250096-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1432250096-NSIDC_ECS.html",
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         "description": "This data set contains 8-meter Digital Elevation Model (DEM) mosaics of high mountain Asia glacier and snow regions generated from from very-high-resolution commercial stereo satellite imagery.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1624006981-NSIDC_ECS.html",
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         "description": "This data set includes three climate simulations of daily precipitation over the Himalayan region for summer and winter, covering different time periods: two 30-member ensemble simulations spanning 40-year time periods in the 20th century (1961-2000) and 21st century (2061-2100), and a present-day climate simulation from 1982 to 2017 nudged to reanalysis winds. These precipitation estimates were simulated by the National Oceanic and Atmospheric Administration (NOAA) Geophysical Fluid Dynamics Laboratory (GFDL) Forecast-oriented Low Ocean Resolution version of the CM2.5 model (GFDL FLOR).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1526098617-NSIDC_ECS.html",
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         "description": "This data set contains bulk landscape frozen or thawed status over seasonally frozen land, as well as snowmelt status over glacierized areas for the High Mountain Asia region. Daily Freeze/Thaw/Melt (F/T/M) status is derived from vertically polarized (V-pol) C-band (5.255 GHz) backscatter measurements that were acquired by the Advanced Scatterometer (ASCAT) on EUMETSAT Metop-A and Metop-B satellites. Swath-ordered observations are spatially enhanced using the Scatterometer Image Reconstruction (SIR) algorithm, posted on Earth-fixed 4.45 km grids, and interpolated to a daily product from the original 3-day A.M. overpasses.",
         "license": "proprietary"
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@@ -87732,7 +88928,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1934757111-NSIDC_ECS.html",
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         "description": "This data set contains polygons of glacial lake extent on a near-global scale, averaged over five multi-year periods between 1990 and 2018.",
         "license": "proprietary"
     },
@@ -87745,7 +88941,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2011594313-NSIDC_ECS.html",
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         "description": "This data set comprises a rasterized (gridded) version of the of glacier point data from the Python Glacier Evolution Model (PyGEM) that include projections of glacier mass change, glacier runoff, and the various components associated with changes in mass and runoff.",
         "license": "proprietary"
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@@ -87758,7 +88954,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1719900489-NSIDC_ECS.html",
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         "description": "This data set comprises results from the Python Glacier Evolution Model (PyGEM) that include projections of glacier mass change, glacier runoff, and the various components associated with changes in mass and runoff.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2142265164-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2142265164-NSIDC_ECS.html",
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         "description": "This data set contains annual surface melt onset and freeze onset dates across all glaciers in the Hindu Kush Himalayas (HKH) retrieved from time series synthetic aperture radar (SAR) imagery. The data set was based on analysis of C-band Sentinel-1 A/B SAR time series, comprising 32,741 Sentinel-1 A/B SAR images. The duration of annual glacier surface melt was determined for 105,432 mapped glaciers (83,102 km2 glacierized area) during the calendar years 2017-2020.",
         "license": "proprietary"
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         "description": "This data set contains average thickness changes for approximately 650 Himalayan glaciers between 1975 and 2000, and 1040 Himalayan glaciers between 2000 and 2016. The data were derived from HEXAGON KH-9 and ASTER digital elevation models (DEMs), by fitting robust linear trends to time series of elevation pixels over the glacier surfaces.",
         "license": "proprietary"
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         "description": "This data set contains gridded thickness changes for approximately 650 Himalayan glaciers between 1975 and 2000, and 1040 Himalayan glaciers between 2000 and 2016. The data were derived from KH-9 HEXAGON and ASTER digital elevation models (DEMs), by fitting robust linear trends to time series of elevation pixels over the glacier surfaces.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1591209290-NSIDC_ECS.html",
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         "description": "This data set contains thickness change mosaics that include approximately 650 Himalayan glaciers between 1975 and 2000, and 1040 Himalayan glaciers between 2000 and 2016. The data were derived from HEXAGON KH-9 and ASTER digital elevation models (DEMs), by fitting robust linear trends to time series of elevation pixels over the glacier surfaces.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1606084749-NSIDC_ECS.html",
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         "description": "The data provided in this data set are simulated using the Noah-Multiparameterization Land Surface Model (Noah-MP LSM) Version 3.6 within the NASA Land Information System (LIS) Version 7.2. The data files contain estimates of water, energy fluxes, and land surface states for the High Mountain Asia (HMA) region.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2695683578-NSIDC_ECS.html",
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         "description": "This data set is an inventory of some 2800 landslides that occurred in the High Mountain Asia (HMA) study area between 5 January 2007 and 31 December 2018 (plus one event from 28 January 1990). The catalog includes dates and locations of landslides, plus additional characteristics such as event triggers, country, length and area of the slide, and the number of injuries and fatalities.  The events in this catalog represent an HMA-specific subset of the Cooperative Open Online Landslide Repository (COOLR), a project that was created to build a more robust, publicly available inventory of landslides by supplementing data in the NASA Global Landslide Catalog with citizen science reports.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1618449579-NSIDC_ECS.html",
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         "description": "This data set provides modeled surface and atmospheric fields from the Mod\u00e8le Atmosph\u00e9rique R\u00e9gionale (MAR) regional climate model (version 3.5) over the Himalayan region at 10 km spatial resolution. Modeled parameters include surface mass and energy balance components, near-surface atmospheric properties, and snowpack properties.",
         "license": "proprietary"
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@@ -87862,7 +89058,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2045817406-NSIDC_ECS.html",
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         "description": "The mountains of Nepal are one of the most hazardous environments in the world, with frequent landslides caused by tectonic activity, extreme rainfall and infrastructure development. As a landlocked country, Nepal relies on proper functioning of major transportation networks such as the highways to sustain and improve the livelihoods of the population. Every year there are reports of landslides blocking the highways, especially during the rainy season; however, the frequency and location of landslides along the highway corridors are not well reported. RapidEye satellite imagery was used to create annual landslide initiation point inventories along three important highways in Nepal: the Arniko, Karnali, and Pasang Lhamu highway.",
         "license": "proprietary"
     },
@@ -87875,7 +89071,7 @@
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         "description": "Snowpack plays a significant role in the hydrologic cycle over High Mountain Asia (HMA). As a vital water resource, the distribution of snowpack volume also impacts the water availability for downstream populations. To assess the regional water balance, it is important to characterize the spatio-temporal distribution of water storage in the HMA snowpack. This HMA snow reanalysis data set contains daily estimates of posterior snow water equivalent (SWE), fractional snow covered area (fSCA), snow depth (SD), etc.",
         "license": "proprietary"
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         "description": "This data set provides daily-averaged NASA Land Information System (LIS) output at a spatial resolution of 1 km. LIS was driven by uncorrected Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) data, using the Noah Multiparameterization Land Surface Model (Noah-MP). Modeled parameters include snow water equivalent (SWE), snow depth, surface temperature, and soil temperature profile.",
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         "license": "proprietary"
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         "license": "proprietary"
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         "description": "This dataset provides maps of tidal marsh green vegetation, non-vegetation, and open water for six estuarine regions of the conterminous United States: Cape Cod, MA; Chesapeake Bay, MD, Everglades, FL; Mississippi Delta, LA; San Francisco Bay, CA; and Puget Sound, WA. Maps were derived from current National Agriculture Imagery Program data (2013-2015) using object-based classification for estuarine and palustrine emergent tidal marshes as indicated by a modified NOAA Coastal Change Analysis Program (C-CAP) map. These 1m resolution maps were used to calculate the fraction of green vegetation within 30m Landsat pixels for the same tidal marsh regions and these data are provided in a related dataset.",
         "license": "proprietary"
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         "description": "Leaf Area Index (LAI) data from the scientific literature, 1932-2000, have been compiled at the ORNL DAAC to support model development and EOS MODIS product validation. Like net primary productivity (NPP), leaf area index (LAI) is a key parameter for global and regional models of biosphere/atmosphere exchange.",
         "license": "proprietary"
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         "description": "This data set contains surface temperature measurements of Arctic and Antarctic sea ice and land ice acquired by the Heitronics KT19.85 Series II Infrared Radiation Pyrometer. For flights with the NASA DC-8 aircraft, the National Suborbital Research Center (NSRC) operates the instrument and creates the data product. For flights with the NASA P-3 and other aircraft, the instrument is operated by the Wallops Flight Facility (WFF) as part of the ATM instrument suite. The data were collected as part of the Operation IceBridge funded survey campaigns.",
         "license": "proprietary"
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@@ -88603,7 +89799,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1955318664-NSIDC_ECS.html",
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         "description": "This data set contains surface temperature measurements of Arctic and Antarctic sea ice and land ice acquired by the Heitronics KT19.85 Series II Infrared Radiation Pyrometer. The instrument is operated by the Wallops Flight Facility (WFF) as part of the ATM instrument suite. The data were collected as part of the Operation IceBridge funded survey campaigns.",
         "license": "proprietary"
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@@ -88616,7 +89812,7 @@
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         "description": "This data set contains vertical acceleration values for Antarctica using the CMG 1A dynamic gravity meter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.",
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         "description": "This data set contains surface range values for Antarctica and Greenland derived from measurements captured by the Riegl Laser Altimeter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.",
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         "description": "This data set contains radar echograms acquired by the University of Alaska Fairbanks High-Frequency Radar Sounder over select glaciers in Alaska. The data are provided in HDF5 formatted files, which include important metadata for interpreting the data. Browse images are also available.",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2817412114-NSIDC_ECS.html",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2673518799-NSIDC_ECS.html",
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         "description": "This data set reports seasonal gridded winter sea ice thickness across the Arctic Ocean. Sea ice thickness is estimated using ICESat/GLAS L3A Sea Ice Freeboard data and NASA Eulerian Snow On Sea Ice Model (NESOSIM) Version 1.1 snow loading.  This data set is a historical complement to <a href=\"https://nsidc.org/data/IS2SITMOGR4\">ICESat-2 L4 Monthly Gridded Sea Ice Thickness</a>.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162118945-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162118945-ORNL_CLOUD.html",
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         "description": "This dataset provides the spatial distribution of vegetation types, soil carbon, and physiographic features in the Imnavait Creek area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology. Data are also provided on the research grids for georeferencing. The map data are from a variety of sources and encompass the period 1970-06-01 to 2015-08-31.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969535-ORNL_CLOUD.html",
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         "description": "This dataset provides environmental, soil, and vegetation data collected during the periods of August 1984 and August-September 1985 from 84 study plots at the Imnavait Creek research site. Imnavait Creek is located in a shallow basin at the foothills of the central Brooks Range. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in 14 plant communities that occur in 19 broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species, cover, indices, and biomass pools; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping, and analysis of geo-botanical factors in the Imnavait Creek region and across Alaska.",
         "license": "proprietary"
     },
@@ -91112,7 +92308,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2706327711-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2706327711-ORNL_CLOUD.html",
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         "description": "This dataset provides Level 1 (L1) in situ atmospheric carbon dioxide (CO2), carbon monoxide (CO), and methane (CH4) concentrations as measured on a network of instrumented communications towers across the central and eastern USA operated by the Atmospheric Carbon and Transport-America (ACT-America) project. There were 11 towers instrumented with cavity ring-down spectrometers (CRDS; Picarro Inc.) with measurements beginning in January 2015 and continuing to October 2019. The measurement period varied by tower site. The Picarro analyzers continuously measured total CH4, isotopic ratio of CH4, CO2, CO, and other greenhouse gas concentrations. Not all species were measured at all sites. Complete tower location, elevation, instrument height, and date/time information are also provided. Determination of greenhouse gas fluxes and uncertainty bounds is essential for the evaluation of the effectiveness of mitigation strategies. These L1 data are raw instrument outputs from the Picarro instruments. A Level 2 (L2) product derived from this L1 data is available and generally would be the preferred data for most use cases.",
         "license": "proprietary"
     },
@@ -91125,7 +92321,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402732-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402732-ORNL_CLOUD.html",
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         "description": "This dataset provide maps to show the search and harvest areas used by community residents for all subsistence resources combined across Interior Alaska for the years 2011 through 2017. The maps show the extent of areas used by residents for those communities where data collection and research has occurred; it is not a comprehensive use map for the entire area. The maps are a composite of data collected by the Division of Subsistence, Alaska Department of Fish and Game using standardized methods where respondents indicated the search areas for species harvested, the amounts harvested, and the location and months of harvest. These data are important for research, analysis, and regulatory assessment.",
         "license": "proprietary"
     },
@@ -91138,7 +92334,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2677009033-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677009033-ORNL_CLOUD.html",
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         "description": "This dataset provides modeled meteorological conditions and tagged-CO tracer concentrations along ATom flight paths derived from the Goddard Earth Observing System Version 5 (GEOS-5) data assimilation products from the Global Modeling and Assimilation Office (GMAO) at NASA's Goddard Space Flight Center. The GMAO \"GEOS fp\" forward processing system ingests satellite, ground-based, and airborne data, using a sophisticated model along with the data's statistical properties to obtain global three-dimensional data gridded fields at regular time intervals. These data are from the GMAO model output that were fitted to the ATom flight tracks by interpolating the GMAO model output to the horizontal ATom flight tracks for each of the 4 ATom Deployments.  The dataset also provides tagged-CO tracer concentrations, which represent the contribution of specific regional sources to the total simulated CO. The data products produced are consistent with both the original measurements and the physical laws governing the atmosphere. To provide some meteorological context for the ATom flights, the GEOS5 gridded data are interpolated in space and time to the flight tracks.",
         "license": "proprietary"
     },
@@ -91151,7 +92347,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2482179223-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2482179223-ORNL_CLOUD.html",
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         "description": "This dataset provides time series of wetland inundation coverage maps and corresponding inundation frequency maps at ~10-meter resolution estimated every 12 days during the free-water period (May to October) for the years 2017-2019 over the Yukon Flats (YK) portion of the Yukon River, Alaska, USA, and the Peace-Athabasca Delta (PAD), Alberta, Canada. Wetland inundation coverage was determined by a two-step modified decision-tree classification approach that first used Sentinel-1 C-band SAR to identify likely inundated areas across a study site and was followed by a decision-tree classification step with C-band SAR backscatter statistics thresholds to distinguish among different inundation components. The result of this process was five classes for each inundation map, namely Open Water (OW), Floating Plants (FP), Emergent Plants (EP), Flooded Vegetation (FV), and Dry Land (DRY). After all the individual (every 12 days) inundation coverage maps were derived for a study site, they were generalized to two-class maps which maintained only inundation status. These generalized maps were then stacked and summarized to produce the inundation frequency map for the site. In these maps, higher values signify more frequently inundated areas, with the maximum value representing permanently inundated pixels. The Sentinel-1 inundation mapping capability demonstrated here provided frequent, broad-scale mapping of different wetland inundation components. Integration of such products with process-based methane (CH4) models would improve simulation of CH4 emissions from wetlands.",
         "license": "proprietary"
     },
@@ -91177,7 +92373,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216862923-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216862923-ORNL_CLOUD.html",
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         "description": "The World Inventory of Soil Emission Potentials (WISE) database was used to generate a series of uniform data sets of derived soil properties for each of the 106 soil units considered in the Soil Map of the World. These data sets were then used to generate GIS raster image files for the following variables: total available water capacity (mm water per 1 m soil depth); soil organic carbon density (kg C/m**2 for 0-30cm depth range); soil organic carbon density (kg C/m**2 for 0-100cm depth range); soil carbonate carbon density (kg C/m**2 for 0-100cm depth range); soil pH (0-30 cm depth range); and soil pH (30-100 cm depth range).",
         "license": "proprietary"
     },
@@ -91190,7 +92386,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216862983-ORNL_CLOUD.html",
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         "description": "The ISRIC-WISE International soil profile data set consists of a homogenized, global set of 1,125 soil profiles for use by global modelers. These profiles provided the basis for the Global Pedon Database (GPDB) of the International Geosphere-Biosphere Programme (IGBP) - Data and Information System (DIS). The data set includes information on soil classification, site data, soil horizon data, source of data, and methods used for determining analytical data.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781648517-ORNL_CLOUD.html",
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         "description": "This data set provides ~100-m resolution image mosaics of South America acquired during the low flood season between September and December 1995 and during the high flood season between May and July of 1996. The images cover the same areas during both seasons and were obtained from the Japanese Earth Resources Satellite 1 (JERS-1) Synthetic Aperture Radar (SAR) of the National Space Development Agency of Japan (NASDA). The data were mosaicked into 34 tiles for each season, each consisting of about 50 JERS-1 scenes. This data set constitutes the first-ever high-resolution and single season coverage of the entire Amazon River Basin, made possible by the cloud penetrating properties of the radar sensor. The images are from the original JERS-1 SAR Global Rain Forest Mapping Project. This data set contains 66 files in GeoTIFF (.tiff) format. There are 32 files for the low flood season and 34 files for the high flood season. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969950-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969950-ORNL_CLOUD.html",
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         "description": "This data set provides a collection of vegetation, landscape, geobotanical, elevation, hydrology, and geologic maps for the Kuparuk River Basin, North Slope, Alaska. The maps cover either (1) the entire Kuparuk River Basin, from the headwaters on the north side of the Brooks Range to the Beaufort Sea coast, or (2) the selected Upper Kuparuk River Region including the Toolik Lake and Imnavait Creek research areas. The maps were produced from imagery and existing geobotanical maps covering the period 1976-08-04 to 2008-12-31.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2737900059-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2737900059-ORNL_CLOUD.html",
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         "description": "This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2737900380-ORNL_CLOUD.html",
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         "description": "This data set provide local LAI maps for the Larose (Ontario) site in Canada. These derived maps may also be useful for validating other LAI maps over this same site given that the area is protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The dataset may also be useful for monitoring changes in the land surface. A complete description of producing the maps for the Larose site and the ground measurement campaign is provided in the companion document Larose2003FTReport.pdf.",
         "license": "proprietary"
     },
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         "description": "The BigFoot project gathered leaf area index (LAI) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2003.  Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. LAI was measured at plots within each site for at least two years using standard direct and optical methods at each site. BigFoot was funded by NASA's Terrestrial Ecology Program.",
         "license": "proprietary"
     },
@@ -118087,7 +119283,7 @@
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         "description": "This data set contains the national and provincial boundaries of Ecuador as well as the boundaries of two national parks: the Cuyabeno Wildlife Reserve and the Yasuni National Park. There are four data files in ESRI ARCGIS Shapefile format within this data set. Each shape file has been compressed into a single compressed file (*.zip).",
         "license": "proprietary"
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@@ -118100,7 +119296,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779741949-ORNL_CLOUD.html",
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         "description": "This data set contains the boundaries of the four major cities in the Northern Ecuadorian Amazon, the locations of primary communities in the colonist settlement area, and the locations of the road network, circa 2002. This area in northeastern Ecuador, know as the northern Oriente of Ecuador, borders the Andes Mountains and contains the headwaters of the Amazon River.The road network was originally digitized from 1:50,000 scale topographic maps from 1990. The surface attributes for the majority of the roads have been updated based on later remote sensing and field observations from 1999 and 2002. There are three compressed (*.zip) files with this data set.",
         "license": "proprietary"
     },
@@ -118113,7 +119309,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779740390-ORNL_CLOUD.html",
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         "description": "This data set reports summary statistics from socioeconomic and demographic surveys administered to the male and female heads of household on 767 farm plots. The surveys were performed in the provinces of Sucumbios and Napo/Orellana, in the northern Ecuadorian Amazon colonist settlements (Oriente) in 1999 (Pan and Bilsborrow, 2005). In addition, perception of, and opinions about local climate, soil quality, and environmental contamination were assessed for both the male and female heads of household. There are two comma-delimited (csv) ASCII data files. One file provides summary data from male respondents; the other data file provides summary responses from the female household survey (generally the spousal respondent). The original questionnaire forms are included as companion files (PDF format).",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835833-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835833-ORNL_CLOUD.html",
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         "description": "This data set provides map images of hydrographic, morphologic, and edaphic features for the northern Amazon Basin in eastern Ecuador. The hydrographic data are available at two scales based on the 1:50,000 and 1:250,000-scale topographic source maps that were generated in 1990 and 1993, respectively. Morphological and edaphological data were digitized from a 1:500,000 map published in 1983. There are 3 compressed (*.zip) data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780116888-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780116888-ORNL_CLOUD.html",
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         "description": "This data set contains Landsat TM imagery for the years 1986, 1989, 1996, and 1999, that have been classified into four land use/land cover (LULC) classes: Forest, Non-Forest Vegetation, Urban/Barren, and Water; and a fifth class of Clouds/Shadows. The areas of interest were the four Intensive Study Areas (ISA) of the University of North Carolina's Carolina Population Center (CPC) Ecuador Projects: Eastern Intensive Study Area; Northern Intensive Study Area; Southern Intensive Study Area, and Southwestern Intensive Study Area. These areas are in the Northern Ecuadorian Amazon, in the area known as the northern Oriente of Ecuador. The resolution of the data is 30 meters. There are 12 image files (.tif) with this data set. ",
         "license": "proprietary"
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         "description": "This data set contains a time series of early Landsat-4 MSS satellite imagery as well as Landsat-5 TM and Landsat-7 ETM+ satellite imagery of the northern Ecuadorian Amazon. Some of the TM and ETM images have been georectified to UTM Zone 18 South, WGS84 Datum. Not all of the images have been georectified. ",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773261166-ORNL_CLOUD.umm_json",
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         "description": "This data set provides 90-meter resolution Digital Elevation Model data used in the University of North Carolina's Carolina Population Center (CPC) Ecuador Projects. The topographic data were derived from Shuttle Radar Topography Mission (SRTM) C-band and X-band interferometric synthetic aperture radars (IFSARs) data that were acquired over 80% of Earth's land mass in February 2000. This data set includes one image in GeoTiff format that is a subset for the Northern Ecuadorian Amazon region.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780112688-ORNL_CLOUD.html",
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         "description": "This data set contains topographic/geomorphological data associated with the four Intensive Study Areas (ISAs) in the Northern Ecuadorian Amazon (northern Oriente) that are part of the University of North Carolina's Carolina Population Center (CPC) Ecuador Projects study. Study area boundaries were developed directly from 1:50,000 topographical maps. Point elevation features and 20-meter elevation contours were digitized from these same maps. Digital elevation models (DEMs) were derived from these elevation data and, in turn, terrain aspect and terrain slope were derived from the digital elevation models. Only boundary data were provided for the southwestern ISA. These data are provided in ESRI shapefile format and GeoTiff. There are six compressed (*.zip) data files with this data set.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780119221-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780119221-ORNL_CLOUD.html",
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         "description": "This data set provides the results of controlled burns conducted to assess the flammability of mature forests on the Catuaba Experimental Farm of the Federal University of Acre - Rio Branco, Acre, Brazil. Controlled burns were conducted in 1998, and the rate of fire spread was calculated based on the duration of the fire and the measured extent of the burned area. Environmental variables measured included type of forest, canopy openness, leaf area index, number of days without rainfall, precipitation, height of litter, litter humidity, brushwood humidity, amount of water in the ground, air temperature, and relative humidity. Results from 50 fires set in 1998 are reported. There is one comma-delimited data file with this data set.These data are part of a larger study reported in the thesis by Elsa Renee Huamon Mendoza, Susceptibility of primary forest to fire in 1998 and 1999: A case study in Acre, south-eastern Amazonia, Brazil. The thesis, in Portuguese, is included as a companion file with this data set.",
         "license": "proprietary"
     },
@@ -118204,7 +119400,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780128083-ORNL_CLOUD.html",
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         "description": "This data set provides hot pixel data, as an indicator of fires that were detected by the GOES-8 satellite for the state of Acre, Brazil. Image data were collected for extended periods over the course of 3 years (1998, 2000 and 2001). Data were filtered to select only pixels identified and processed by the GOES-8 Automated Biomass Burning Algorithm (ABBA), where estimates of sub-pixel fire characteristics including size and temperature were able to be determined. There are three comma-delimited ASCII data files with this data set.",
         "license": "proprietary"
     },
@@ -118217,7 +119413,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777854088-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777854088-ORNL_CLOUD.html",
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         "description": "This data set provides hot pixel data, as an indicator of fires, that were detected by various satellites in the tri-national MAP region (Madre de Dios-Peru, Acre-Brazil, and Pando-Bolivia) in 2003, 2004, 2005, and 2006. Data from the following satellites/sensors were compiled: NOAA-12, NOAA-14, NOAA-15, and NOAA-16, which transports the AVHRR sensor; GOES-8 and GOES- 12, which transports the GOES Imager; and AQUA and TERRA, both which transport the MODIS sensor. These data were made available by the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC) of the Instituto Nacional de Pesquisas Espaciais (INPE) via the internet (http://sigma.cptec.inpe.br/queimadas/). This data set contains 12 comma-delimited ASCII data files.Hot pixel data from satellites can be used as an indicator of fires and for the understanding of fire frequency in remote areas. The publication by Vasconcelos and Brown, 2007, which has been included as a companion file, describes the application of these data in the MAP region. In addition to the the hot pixel data, each observation has a derived vegetation type, susceptibility to fire, recent and past precipitation amounts, and a calculated fire risk value. These data are described in the Fire Risk Factor companion file, by Alberto W. Setzer and Raffi A. Sismanoglu, Version 5, February 2006. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780126918-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780126918-ORNL_CLOUD.html",
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         "description": "This data set provides meteorological measurements collected from 3 different meteorological stations within a radius of 8 km in Rio Branco, Acre  Brazil, for  the periods of  June of 1970 to 1974, December of 1974 to 1980, and  May of 1980 thru May 31, 2001. Daily average values for rainfall, relative humidity, evapotranspiration, maximum and minimum temperature, pressure, wind direction and speed, solar radiation, and cloud cover are reported.  There is one comma-delimited data file with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781607419-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781607419-ORNL_CLOUD.html",
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         "description": "This data set provides diameter at breast height (DBH) measurements for 1,063 trees located at the Catuaba Experimental Farm, and 812 trees located in the Humaita Forest Reserve. Both sites are in the state of Acre, southwest Amazonia, Brazil. Measurements were made on individuals with DBH between 10 and 35 cm and individuals with DBH > 35 cm.  The Catuaba Experimental Farm is part of a forest fragment of approximately 800 ha. The Humaita Forest Reserve is located in a 1,500-ha forest band with dominant bamboo characteristic. Ten-ha areas were inventoried at both sites. There is one data file in comma-delimited (.csv) format with this data set. There is also one companion data file with supplemental Catuaba site tree height and biomass data.",
         "license": "proprietary"
     },
@@ -118256,7 +119452,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781610793-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781610793-ORNL_CLOUD.html",
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         "description": "This data set provides coordinates for points at the mouth of tributaries of the Acre River in the Tri-national River Basin in South America. Three Global Positioning System (GPS) readings were made at the outlet of each tributary and the average of the three readings is reported. The Tri-national River Basin is located in the tri-national frontier region of Madre de Dios, Peru, Acre, Brazil, and Pando, Bolivia (known as the MAP region). The MAP region is approximately 300,000 km2. The Acre River flows through Brazil, Bolivia, and Peru. Data on the basin drainage network from the Digital Elevation Model (DEM) Shuttle Radar Topography Mission (SRTM) was obtained as a source of information for the border areas. The GPS readings were part of an assessment of the reliability of the DEM/SRTM drainage network data (Maldonado and Brown, 2003). There is one data file in comma-delimited (.csv) format and one compamion file (.pdf) with this data set.  DATA QUALITY STATEMENT: This data set provides GPS coordinates only and is not associated with any additional measurements. There is no associated research documentation. ",
         "license": "proprietary"
     },
@@ -118269,7 +119465,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742942-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742942-ORNL_CLOUD.html",
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         "description": "This data set reports bi-weekly or monthly depth-to-water measurements for three wells located in a ~1,500 ha forest fragment on the Catuaba Experimental Farm, which is the property of the Federal University of Acre, Brazil. Data were collected between February 1999 and December 2004. There is one comma-delimited ASCII data file with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: The depth-to-water measurements for the three wells lack ground surface elevation reference points, therefore, the groundwater table elevation for the site cannot be determined.  The depth-to-water measurements are of limited use unless paired with other site data for precipitation, tree growth, etc.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780129237-ORNL_CLOUD.html",
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         "description": "This data set provides four related spatial data products for four study areas across the Brazilian Amazon: Manaus, Amazonas; Tapajos National Forest, Para Western (Santarem); Rio Branco, Acre; and Rondonia, Rondonia. Products include vector data showing (1) roads, (2) rivers, and (3) hypsography and (4) digital elevation model (DEM) images that were encoded from the hypsography vectors. There are 15 data files with this data set which includes 12 compressed *.zip files containing ArcInfo shape files and 3 GeoTIFFS.This data set contains vector data showing roads, rivers, and hypsography for each study area in ESRI ArcGIS shapefile format. The vectors were hand-digitized by the Images Company in Brazil from paper maps produced by the Brazilian government. Depending on the scale of the original maps, the digitization errors vary. For some maps, some vectors are missing. Data were manually checked for duplicate or extra vectors. These data sets were derived from several map sheets produced from aerial coverages dating from 1974 to 1978.The DEM images were encoded from the hypsography vectors and are provided in GeoTIFF format. The attribute value associated with each line and point in the vector segment is encoded into the image channel; the image channel is then filled in by interpolating image data between encoded vector data.  For each DEM:  1 image channel with pixel resolution = 25m x 25m.  DEM images are provided for Manaus, Tapajos National Forest, and Rondonia.  The files for Rio Branco were unusable due to a documentation error.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS:The data providers note that due to limited resources, these data have been neither validated nor quality-assured for general use. For that reason, extreme caution is advised when considering the use of these data. - Any use of the derived data is not recommended because the results have not been validated.- However, the DEM, vectors, and orthorectified SAR data (related data set) can be used if the user understands how these were produced and accepts the limitations.",
         "license": "proprietary"
     },
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         "description": "This data set provides three related land cover products for four study areas across the Brazilian Amazon: Manaus, Amazonas; Tapajos National Forest, Para Western (Santarem); Rio Branco, Acre; and Rondonia, Rondonia. Products include (1) orthorectified JERS-1 and RadarSat images, (2) land cover classifications derived from the SAR data, and (3) biomass estimates in tons per hectare based on the land cover classification. There are 12 image files (.tif) with this data set.Orthorectified JERS-1 and RadarSat images are provided as GeoTIFF images - one file for each study area.For the Manaus and Tapajos sites: The images are orthorectified at 12.5-meter resolution and then re-sampled at 25-meter resolution.For the Rondonia and Rio Branco sites: The images from 1978 are orthorectified at 25-meter resolution and then re-sampled at 90-meter resolution. Each GeoTIFF file contains 3 image channels: - 2 L-band JERS-1 data in Fall and Spring seasons and - 1 C-band RadarSat data.Land cover classifications are based on two JERS-1 images and one RadarSat image and provided as GeoTIFFs - one file for each study area. Four major land cover classes are distinguished: (1) Flat surface; (2) Regrowth area; (3) Short vegetation; and (4) Tall vegetation. The biomass estimates in tons per hectare are based on the land cover classification results and are reported in one GeoTIFF file for each study area.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: The data providers note that due to limited resources, these data have been neither validated nor quality-assured for general use. For that reason, extreme caution is advised when considering the use of these data.Any use of the derived data is not recommended because the results have not been validated. However, the DEM and vectors (related data set), and orthorectified SAR data can be used if the user understands how these were produced and accepts the limitations. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777289829-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777289829-ORNL_CLOUD.html",
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         "description": "The provided data were generated by the Integrated BIosphere Simulator (IBIS) terrestrial ecosystem model using data from the East Anglia Climate Research Unit climate record for the years 1921-1998. Data are included for the annual net ecosystem exchange of the surface, microbial respiration, root respiration, total soil respiration, soil moisture, leaf area index, drainage, and surface and subsurface runoff, for the entire Amazon and Tocantins basins. The data files are provided in netCDF format and standard ESRI ARCGIS ARC/INFO ASCIIGRID format. The netCDF files consist of either annual or monthly means from 1921 to 1998. The ASCII files are available only for the annual mean files.",
         "license": "proprietary"
     },
@@ -118321,7 +119517,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777285487-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777285487-ORNL_CLOUD.html",
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         "description": "This data set contains 5-minute land use maps for agricultural activity in Amazonia. The data set was produced by the statistical fusion of agricultural census data from Brazil,Columbia, Bolivia, and Peru with the land cover data product from the Global Land Cover Facility. These land use maps indicate the estimated total amount of cropland and pasture (natural and planted) for the Amazon and Tocantins River basins in 1995 and 1980 and are suitable for use in models or other similar purposes. Data are provided in the netCDF format and the ARC/INFO GRID ASCII format.The 1995 data were generated from a fusion of agricultural census data and a satellite classification, and are described in Cardille, Foley, and Costa (2002).  The fusion technique merges agricultural census data from Brazil, Columbia, Peru, and Bolivia with land cover data from the University of Maryland Global Land Cover Facility 1-km classification. This technique was used to derive an estimate of the mid-1990s total agriculture surface for the region, which was then apportioned according to agriculture census data into cultivated area, natural pasture, and planted pasture.The 1980 maps, including only the Brazilian portion of the Amazon/Tocantins river drainage basins, were created by scaling the mid-1990s snapshots backward in time using the relative increase or decrease in agriculture, as derived from mid-1980s census data and United Nations Food and Agriculture Organization (FAO) data (Cardille and Foley, 2003).",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779736297-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779736297-ORNL_CLOUD.html",
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         "description": "This data set provides continental-scale hydrological river flow routing parameter data for the Amazon and Tocantins River basins at 5 minute (~9 km) resolution (Costa et al., 2002). The data set includes four geospatial data files (in standard ESRI Arc/Info ASCII Grid format): (1) the river network (flow direction); (2) sinuosity of each of the main rivers, measured at 111 river sections in the basins; (3) depth to the water table; and (4) transmissivity of the aquifer. The latter two parameters were derived from measurements taken at 81 wells located throughout the basins. There is also a compressed file (*.zip) which contains the time series of monthly mean river discharge and long-term climatology (monthly mean) for the period of record at each of 122 fluviometric stations located throughout the basin. These files are provided in ASCII common-separated (.csv) format. Also included in this data set are two data files in *.csv format; one containing river discharge station location and drainage area information and one containing original well data.",
         "license": "proprietary"
     },
@@ -118347,7 +119543,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777288274-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777288274-ORNL_CLOUD.html",
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         "description": "The model output data provided were generated by the THMB 1.2 (Terrestrial Hydrology Model with Biogeochemistry) model which simulates the flow of water through groundwater systems, rivers, lakes and wetlands. The model operates at a 5-minute latitude-by-longitude grid with a 1-hour time step and requires as boundary conditions: topography, evaporation from water surfaces, surface runoff, base flow, and precipitation. Data are included for the mean monthly simulated water height above flood stage, mean monthly simulated river discharge, and mean monthly inundated area for the period 1939-1998 for the entire Amazon and Tocantins River basins. There are three netCDF files (.nc) with this data set.",
         "license": "proprietary"
     },
@@ -118360,7 +119556,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777849985-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777849985-ORNL_CLOUD.html",
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         "description": "This data set reports (1) total aboveground dry biomass based on detailed estimates of all live and dead plant material, (2) results from repeated surveys of aboveground biomass allowing the calculation of above-ground productivity, and (3) soil chemical and physical characteristics for 50 1-ha plots of undisturbed and fragmented central Amazonian rainforest within the Biological Dynamics of Forest Fragments Project (BDFFP) study area. The reported data are plot-level summaries based on plant and soil samples and measurements obtained over the 1997 to 2001 timeframe. The BDFFP study area is an experimentally fragmented landscape spanning 1,000 km2 located 70-90 km north of Manaus, Amazonas, Brazil. For additional information about the BDFFP and research conducted at the site, please visit their web site at http://pdbff.inpa.gov.br/index.html.There are six comma-separated ASCII data files with this data set.",
         "license": "proprietary"
     },
@@ -118373,7 +119569,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773207594-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773207594-ORNL_CLOUD.html",
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         "description": "This data set includes high-resolution geocoded mosaics derived from the Validation Overflight for Amazon Mosaics (VOAM) aerial video surveys as part of the Large-Scale Biosphere-Atmosphere (LBA) Experiment in the Amazon. The VOAM flights were carried out in the wet-season (June) 1999 in the Brazilian Amazon to provide ground verification for mapping of wetland cover in the Amazon Basin conducted by the Global Rain Forest Mapping (GRFM) Project JERS-1 (Japanese Earth Remote Sensing Satellite). Digital camcorder systems were installed in a Bandeirante survey plane operated by Brazil's National Institute for Space Research. The VOAM99 surveys circumscribed the Brazilian Amazon, documenting ground conditions at resolutions on the order of 1-m resolution for wetlands, forests, savannas, and human-impacted areas. Geocoded mosaics were generated by processing the aerial videography into GeoTIFF format, maximizing its usefulness for environmental monitoring applications. Other applications of the VOAM99 videography include acquisition of ground control points for image geolocation, forest biomass estimation, and rapid assessment of fire damage. Geocoded digital videography provides a cost-effective means of compiling a high-resolution validation data set for land cover mapping in remote, cloud-covered regions. ",
         "license": "proprietary"
     },
@@ -118386,7 +119582,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777292705-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777292705-ORNL_CLOUD.html",
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         "description": "This data set presents georeferenced digital video files from Validation Overflight for Amazon Mosaics (VOAM) aerial video surveys as part of the Large-Scale Biosphere-Atmosphere Experiment in the Amazon. The VOAM flights were carried out in the wet-season (June) 1999 in the Brazilian Amazon to provide ground verification for mapping of wetland cover with the Global Rain Forest Mapping (GRFM) Project JERS-1 (Japanese Earth Remote Sensing Satellite) mosaics of the Amazon basin. Digital camcorder systems were installed in a Bandeirante survey plane operated by Brazil's National Institute for Space Research. The VOAM99 surveys circumscribed the Brazilian Amazon, documenting ground conditions at resolutions on the order of 1-m (wide-angle format) and 10-cm (zoom format) for wetlands, forests, savannas, and human-impacted areas. Other applications of the VOAM videography include acquisition of ground control points for image geolocation, creation of a high-resolution geocoded mosaic of a forest study area, forest biomass estimation, and rapid assessment of fire damage. Geocoded digital videography provides a cost-effective means of compiling a high-resolution validation data set for land cover mapping in remote, cloud-covered regions.",
         "license": "proprietary"
     },
@@ -118399,7 +119595,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781649041-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781649041-ORNL_CLOUD.html",
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         "description": "This data set provides a map of wetland extent, vegetation type, and dual-season flooding state of the entire lowland Amazon basin. As described in Hess et al. (2015), the classified image was derived from the Global Rain Forest Mapping Project (GRFM) Amazon mosaics (Rosenqvist et al 2000; Siqueira et al. 2002) acquired during Oct.-Nov. 1995 and May-June 1996, corresponding to the low-flood and high-flood seasons for much of the central Amazon. Hess et al. (2003) mapped wetland extent, vegetative cover, and flooding state for an 18 degree \u00d7 8 degree portion of the central Amazon using the dual-season GRFM mosaics. This study extends the previous wetlands mapping to report the first validated estimate of wetland extent, cover, and flooding for the lowland Amazon basin. A wetlands mask was created by segmentation of the mosaics and clustering of the resulting polygons; a rules set was then applied to classify wetland areas into five land cover classes and two flooding classes using dual-season backscattering values. The mapped wetland area of 8.4 \u00d7 105 km2 is equivalent to 14 % of the total basin area (5.83 \u00d7 106 km2) and 17% of the lowland basin (5.06 \u00d7 106 km2). The mapped flooding extent is representative of average high and low-flood conditions for latitudes north of 6 degrees S; flooding conditions were less well captured for the southern part of the basin. The wetlands map is provided in GeoTIFF format using two coordinate systems: unprojected (Geographic) with pixel size of 3 arcseconds, and Albers Conical Equal Area with pixel size of 100 m.",
         "license": "proprietary"
     },
@@ -118412,7 +119608,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777830431-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777830431-ORNL_CLOUD.html",
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         "description": "The bathymetry data provided represent a continuous surface of interpolated point measurements of depth values of Lago Curuai, an Amazon River floodplain lake, upstream from Santarem, Para, Brazil, from measurements made in June of 2004. The first product contains the actual depth values (in meters) of the interpolated continuous surface saved as real numbers in both ENVI and GeoTIFF formats. Also available is a color scaled depth GeoTIFF image which has an embedded color scale bar. This secondary file is meant only for viewing but has the unique advantage of being a GeoTIFF file. Therefore, this map can be a background image with other projected files of interest in the area. Data provided in this data set were used to develop a methodology for processing and applying high resolution bathymetric data acquired with a Lowrance-480M ecosounder in the Amazon floodplain. This research was supported by the addition of Landast/TM images for planning and executing the survey. 4600 km of transects were processed semi-automatically and integrated into a georeferenced database. A digital elevation model with 15 m horizontal resolution and 1 cm vertical resolution was generated for the floodplain. The changes in inundated area and volume of water on the floodplain were estimated. Regression models were constructed to predict flood area and water stored volume from water level. The results of this research show that water level and flooded area mapped from images are good enough for estimating water stored volume in the Lago Grande de Curuai (Barbosa et al., 2006).",
         "license": "proprietary"
     },
@@ -118425,7 +119621,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780955074-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780955074-ORNL_CLOUD.html",
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         "description": "This data set reports measurements of aquatic macrophyte biomass, phenology, leaf characteristics, and length and diameter of stems of both submerged and unsubmerged macrophytes. Data were collected from sites in the Monte Alegre Lake region on the eastern Amazon River floodplain in Para, Brazil. Ten field surveys were made at approximately monthly intervals from December 2003 to November 2004. There is one comma-delimited data file with this data set.",
         "license": "proprietary"
     },
@@ -118438,7 +119634,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780968798-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780968798-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0wNyBtZXRoYW5lIGFuZCBjYXJib24gZGlveGlkZSBlbWlzc2lvbnMgZnJvbSBiYWxiaW5hIHJlc2Vydm9pciwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJMQzA3X1Jlc2Vydm9pcl9HSEdfMTE0M1wiLFwiMVwiLDI3ODEzODYxMjQsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIGxjLTA3IG1ldGhhbmUgYW5kIGNhcmJvbiBkaW94aWRlIGVtaXNzaW9ucyBmcm9tIGJhbGJpbmEgcmVzZXJ2b2lyLCBicmF6aWxcIixcIk9STkxfQ0xPVURcIixcIkxDMDdfUmVzZXJ2b2lyX0dIR18xMTQzXCIsXCIxXCIsMjc4MTM4NjEyNCwyXSJ9/LC07_Curuai_chl_1134_1",
         "description": "This data set reports (1) concentrations of total, organic, and inorganic suspended solids; dissolved inorganic, and organic carbon; chlorophyll-a and (2) measurements of turbidity, ph, temperature, transparency, conductivity, and calculated carbon dioxide (CO2) in water samples collected from Lago Curuai (Lake Curuai), in the floodplain of the Amazon River south of Obidos, Para, Brazil. Approximately 70 stations were sampled during four phases of the hydrological cycle: receding (September 2003), low (November 2003), rising (February 2004), and high water (June 2004). There is one comma-delimited data file with this data set.",
         "license": "proprietary"
     },
@@ -118451,7 +119647,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777830478-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777830478-ORNL_CLOUD.html",
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         "description": "This data set contains chlorophyll concentration maps of the Amazon River floodplain region from Parintins (Amazonas) to Almeirim (Para). These chlorophyll fraction maps were derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product (MOD09) for 19 months from April 2002 to December 2003. The study was conducted in a floodplain reach upstream from Santarem, Para, in order to assess seasonal changes in phytoplanktonic chlorophyll-a distributions in the floodplain Lake Curuai. MODIS reflectance data were acquired at four river stages: rising (April), high (June), decreasing (September), and low (November). Chlorophyll maps were derived and used to compute the weighted average of chlorophyll concentration from MODIS images in the region. Field measurements of suspended inorganic matter and chlorophyll-a in Lake Curuai were made almost concurrently with satellite overpasses (Barbosa, 2005). The images and the estimated chlorophyll concentrations were compared to measured chlorophyll concentrations at control points for different hydrological states. This data set may be applied to better understand the seasonal dynamics of primary production of the Amazon floodplains. The maps of chlorophyll-a concentration may be used to model spatial and temporal variations of primary production in this region.The monthly chlorophyll-a maps are provided as GeoTIFF files. There are two formats: (1) color-mapped pixels and (2) pixels as chlorophyll-a concentrations. These latter images are not intended for browsing. These images have pixel values that are the chlorophyll-a concentration in mg/m3 and need to be download and opened in GIS software.",
         "license": "proprietary"
     },
@@ -118464,7 +119660,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779738298-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779738298-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0wMSB0b3BvZ3JhcGhpYyBkYXRhIGZvciBpbnRlbnNpdmUgc3R1ZHkgYXJlYXMsIG5vcnRoZXJuIGVjdWFkb3JpYW4gYW1hem9uXCIsXCJPUk5MX0NMT1VEXCIsXCJMQzAxX1RvcG9ncmFwaHlfRWN1YWRvcl9JU0FfMTA4MlwiLFwiMVwiLDI3ODAxMTI2ODgsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIGxjLTAxIHRvcG9ncmFwaGljIGRhdGEgZm9yIGludGVuc2l2ZSBzdHVkeSBhcmVhcywgbm9ydGhlcm4gZWN1YWRvcmlhbiBhbWF6b25cIixcIk9STkxfQ0xPVURcIixcIkxDMDFfVG9wb2dyYXBoeV9FY3VhZG9yX0lTQV8xMDgyXCIsXCIxXCIsMjc4MDExMjY4OCwyXSJ9/LC07_Lake_Nutrient_Sediments_1050_1",
         "description": "This data set reports lake sediment texture and porosity, carbon (C), nitrogen (N), and phosphorus (P) content of surficial sediments, 210Pb-derived nutrient accumulation rates in sediments, and burial rates of C, N, and P in sediments at eleven locations in Lake Calado, Amazonas, Brazil. Field samples were collected between February 1982 and August 1984. There are eight comma-delimited ASCII data files with this data set. ",
         "license": "proprietary"
     },
@@ -118477,7 +119673,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779737265-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779737265-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0wNyBtZXRoYW5lIGFuZCBjYXJib24gZGlveGlkZSBlbWlzc2lvbnMgZnJvbSBiYWxiaW5hIHJlc2Vydm9pciwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJMQzA3X1Jlc2Vydm9pcl9HSEdfMTE0M1wiLFwiMVwiLDI3ODEzODYxMjQsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIGxjLTA3IG1ldGhhbmUgYW5kIGNhcmJvbiBkaW94aWRlIGVtaXNzaW9ucyBmcm9tIGJhbGJpbmEgcmVzZXJ2b2lyLCBicmF6aWxcIixcIk9STkxfQ0xPVURcIixcIkxDMDdfUmVzZXJ2b2lyX0dIR18xMTQzXCIsXCIxXCIsMjc4MTM4NjEyNCwyXSJ9/LC07_Monthly_Inundated_Areas_1049_1",
         "description": "This data set reports monthly mean inundation areas (square kilometers) for four cover classes of Central Amazon wetlands habitat: Open water (OW),  river channel (RC) class, macrophyte (MA) class, and a flooded forest (FF) class, which also incorporates a flooded shrub class. The full study area was a 1.77 million km2 quadrant covering the Central Amazon Basin. Inundation was also calculated from three subsets of this area: (1) covering only the Amazon/Solimoes River mainstem and (2) the Eastern and (3) the Western halves of this mainstem area. There is one comma-delimited ASCII data file in this data set.",
         "license": "proprietary"
     },
@@ -118490,7 +119686,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781386124-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781386124-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0wMSB0b3BvZ3JhcGhpYyBkYXRhIGZvciBpbnRlbnNpdmUgc3R1ZHkgYXJlYXMsIG5vcnRoZXJuIGVjdWFkb3JpYW4gYW1hem9uXCIsXCJPUk5MX0NMT1VEXCIsXCJMQzAxX1RvcG9ncmFwaHlfRWN1YWRvcl9JU0FfMTA4MlwiLFwiMVwiLDI3ODAxMTI2ODgsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIGxjLTAxIHRvcG9ncmFwaGljIGRhdGEgZm9yIGludGVuc2l2ZSBzdHVkeSBhcmVhcywgbm9ydGhlcm4gZWN1YWRvcmlhbiBhbWF6b25cIixcIk9STkxfQ0xPVURcIixcIkxDMDFfVG9wb2dyYXBoeV9FY3VhZG9yX0lTQV8xMDgyXCIsXCIxXCIsMjc4MDExMjY4OCwyXSJ9/LC07_Reservoir_GHG_1143_1",
         "description": "This data set provides flux measurements of methane (CH4) and carbon dioxide (CO2) from surface waters to the atmosphere. It also provides CH4, CO2, and oxygen (O2) concentrations of surface water, and concentrations measured at several depths of the Balbina Reservoir in the central Amazon Basin, Amazonas, Brazil. The Balbina Reservoir was formed by impounding the Uatuma River in 1987.  Reservoir surface water samples, bottom water samples, and gas samples from static flux enclosures were collected at 10 to 14 sites at monthly intervals between April and November of 2005, and 6 times in February, 2006. Water samples to determine the vertical profiles of temperature, dissolved O2, CH4, and CO2 were collected during the rainy and dry seasons immediately above the dam between September 2004 and February 2006. Water samples were collected downstream from the dam from July 2004 - November 2005 for analysis of CH4 and CO2 concentrations.There are three comma-delimited data files with this data set.",
         "license": "proprietary"
     },
@@ -118503,7 +119699,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835418-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835418-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0wNyBtZXRoYW5lIGFuZCBjYXJib24gZGlveGlkZSBlbWlzc2lvbnMgZnJvbSBiYWxiaW5hIHJlc2Vydm9pciwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJMQzA3X1Jlc2Vydm9pcl9HSEdfMTE0M1wiLFwiMVwiLDI3ODEzODYxMjQsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIGxjLTA3IG1ldGhhbmUgYW5kIGNhcmJvbiBkaW94aWRlIGVtaXNzaW9ucyBmcm9tIGJhbGJpbmEgcmVzZXJ2b2lyLCBicmF6aWxcIixcIk9STkxfQ0xPVURcIixcIkxDMDdfUmVzZXJ2b2lyX0dIR18xMTQzXCIsXCIxXCIsMjc4MTM4NjEyNCwyXSJ9/LC07_Reservoir_Methane_Emissions_1047_1",
         "description": "This data set reports methane (CH4) fluxes at the water-air interface and concentrations and isotopic signals of CH4 in the bubbles stirred up from the sediment in Tucurui and Samuel reservoirs in 2000 and 2001. Tucurui (deep) reservoir is located near Belem city in the Tocantins-Araguaia basin in the eastern Amazon. Samuel (shallow) reservoir is situated near Porto Velho city in the Jamari River, a tributary of the Madeira River in the western Amazon. Field samples were collected between June 2000 and September 2001. There are two comma-delimited ASCII data files in this data set. This study was carried out to identify differences in methane cycling between deep and shallow reservoirs (Lima, 2005). Isotopic and concentration analyses of methane in bubbles, dissolved in the water column, and emitted to the atmosphere demonstrate that water depth is critical regarding methane emissions from hydroreservoirs in the Amazon. Methanotrophic activities are greater in Tucurui (deep) while light isotopic methane is directly released from Samuel (shallow). Therefore, the methanotrophic layer of the deep reservoir is more efficient in oxidizing methane before reaching the atmosphere, since the quantity of methane in the sediments of the reservoirs were equivalent.",
         "license": "proprietary"
     },
@@ -118516,7 +119712,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779739356-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779739356-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0wNyBtZXRoYW5lIGFuZCBjYXJib24gZGlveGlkZSBlbWlzc2lvbnMgZnJvbSBiYWxiaW5hIHJlc2Vydm9pciwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJMQzA3X1Jlc2Vydm9pcl9HSEdfMTE0M1wiLFwiMVwiLDI3ODEzODYxMjQsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIGxjLTA3IG1ldGhhbmUgYW5kIGNhcmJvbiBkaW94aWRlIGVtaXNzaW9ucyBmcm9tIGJhbGJpbmEgcmVzZXJ2b2lyLCBicmF6aWxcIixcIk9STkxfQ0xPVURcIixcIkxDMDdfUmVzZXJ2b2lyX0dIR18xMTQzXCIsXCIxXCIsMjc4MTM4NjEyNCwyXSJ9/LC07_SMMR_Inundated_Area_1051_1",
         "description": "This data set reports the monthly record of inundated area, in square km, for six floodplain and open water regions in South America. The following floodplains were analyzed: (1) mainstem Amazon River floodplain in Brazil; (2) Llanos de Mojos (Beni and Mamore rivers) in Bolivia; (3) Bananal Island (Araguaia River) in Brazil; (4) Roraima savannas (Branco and Rupununi rivers) in Brazil and Guyana; (5) Llanos del Orinoco (Apure and Meta rivers) in Venezuela and Colombia; and (6) Pantanal wetland (Paraguay River) in Brazil. Flooded area was estimated at monthly intervals from December 1978 through August 1987 for the Amazon mainstem region and from January 1979 through August 1987 for the other five regions. Inundated area was determined from SMMR (Scanning Multichannel Microwave Radiometer) passive microwave data. Area estimates include permanent open water as well as land subject to seasonal inundation. This data set contains five data files: two comma-delimited (.csv) ASCII data files providing the monthly inundation area values for six floodplain and open water regions in South America; a compressed (.zip) file providing seventeen ESRI Shape files for the region bounding polygons; and two .csv files providing information about the region bounding polygons and latitude/longitude verticies.",
         "license": "proprietary"
     },
@@ -118529,7 +119725,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781386478-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781386478-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0wNyBtZXRoYW5lIGFuZCBjYXJib24gZGlveGlkZSBlbWlzc2lvbnMgZnJvbSBiYWxiaW5hIHJlc2Vydm9pciwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJMQzA3X1Jlc2Vydm9pcl9HSEdfMTE0M1wiLFwiMVwiLDI3ODEzODYxMjQsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIGxjLTA3IG1ldGhhbmUgYW5kIGNhcmJvbiBkaW94aWRlIGVtaXNzaW9ucyBmcm9tIGJhbGJpbmEgcmVzZXJ2b2lyLCBicmF6aWxcIixcIk9STkxfQ0xPVURcIixcIkxDMDdfUmVzZXJ2b2lyX0dIR18xMTQzXCIsXCIxXCIsMjc4MTM4NjEyNCwyXSJ9/LC07_Spectroradiometry_1144_1",
         "description": "This data set includes bidirectional reflectance (BDR) spectra and water-quality data of floodplain lakes of the Solimoes and Negro Rivers in the central Amazon basin, Amazonas, Brazil. Samples and measurements were collected during July 2000 to August 2000. Bidirectional reflectance factors were recorded, at 3 nm intervals from 400 to 900 nm, concurrently with in situ measurements of water temperature and Secchi depth, and collection of samples for analysis of optically active components including total suspended solids, chlorophyll, and dissolved organic carbon (DOC).The lakes sampled were in the low-lying varzea of the Solimoes River (\"varzea\" is the local name for the floodplain formed by the overflow of white-water rivers) and igapo (\"igapo\" is the local name for the floodplain formed by the overflow of black-water rivers) of the Negro River.There are two comma-delimited data files with this data set.",
         "license": "proprietary"
     },
@@ -118542,7 +119738,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781598950-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781598950-ORNL_CLOUD.html",
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         "description": "This data set provides estimates of daily and monthly carbon dioxide (CO2) and methane (CH4) diffusive and ebullitive flux for dry and flooded areas from two study sites, Cuini and Itu, in the interfluvial wetlands of the upper Negro River basin, Brazil. CO2 (ebullitive and diffusive) and CH4 diffusive flux measurements were made one day each month from February 2005 through January 2006 in both permanently and seasonally flooded areas. For the remaining days of each month, fluxes were calculated as the mean of the two measurements bracketing that time period, times the area flooded each day. Total site area, dry area, and seasonally varying flooded area estimates for the two wetlands were determined through analysis of synthetic aperture radar data from Radarsat images. From these estimates, the total flux of CO2 and CH4 for the sites was calculated. Values for CH4 ebullitive flux were determined from a constant for each area based on whether the water was rising or falling and the area flooded. Hydrologic measurements were taken from April 2004 through January, 2006.There are three comma-separated (.csv) data files with this data set.",
         "license": "proprietary"
     },
@@ -118555,7 +119751,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2768945067-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768945067-ORNL_CLOUD.html",
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         "description": "This data set provides (1) soil maps for Brazil that are digital versions of the MAPA DE SOLOS DO BRASIL (EMBRAPA, 1981) classified at three levels of detail, 19-class, 70-class and 249-class; (2) vegetation maps for Brazil that are digital versions of the MAPA DE VEGETACAO DO BRASIL (IBGE, 1988) classified at three levels of detail, 13-class, 59-class, and an overprint (combination) class; and (3) a land cover map for all of South America that was derived from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) data over the time period 1987 through 1991 (Stone et al., 1994).The seven soil, vegetation, and general land cover classification maps are provided as GeoTIFF files (*.tif) files. There are also three companion files (.pdf), one each, for the soil, vegetation, and land cover maps, with information on  map units, class values, codes, and descriptions.",
         "license": "proprietary"
     },
@@ -118568,7 +119764,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784856942-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784856942-ORNL_CLOUD.html",
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         "description": "This data set provides Ecosystem Demography Model (ED) estimates of potential above-ground net primary production (NPP) (kg C/m2/y), potential average live biomass (kg C/m2), and potential average soil carbon (kg C/m2) for the Brazilian Amazon at 1 degree resolution. Ecosystem Demography Model predicts both ecosystem structure (e.g. above and below-ground biomass, vegetation height and basal area, and soil carbon stocks) and corresponding ecosystem fluxes (e.g. NPP, NEP, and evapotranspiration) from climate, soil, and land-use inputs. Estimates for the Brazilian Amazon include the effects of natural disturbances such as windthrow and fire, but do not include the effects of human land use. To produce these estimates, ED was forced with ISLSCP I data for 1987 and 1988 and averaged into a single average year (Moorcroft et al., 2001).The data are provided for the three estimates in both ASCII text and in NetCDF formatted files. ",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780129991-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780129991-ORNL_CLOUD.html",
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         "description": "This data set reports observations of fires in the vicinity of Maraba, Para, Brazil, from November 3-5th, 2001, and in Mato Grosso, Brazil, between Cuiaba and Alta Floresta, for July 12-15th, 2002. These ground-based data were collected by visual inspection from roads primarily during daylight hours. Data include fire position and time, estimates of fire size, and type of vegetation burned. There is one comma-delimited ASCII file with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777821076-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777821076-ORNL_CLOUD.html",
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         "description": "This data set includes 16 zipped archives of shapefiles of cities, rivers and streams, roads, and study area boundaries of several Amazonian study sites: Altamira, Santarem, Bragantina, and Ponta de Pedras, in the state of Para, and 1 site at Machadinho D'Oeste, in the state of Rondonia. Data from Brazil were digitized from Instituto Nacional de Colonizacao e Reforma Agraria (INCRA) maps and other data from Instituto Brasileiro de Geografia e Estatistica (IBGE). These products were prepared in the 2000-2004 time period. The data of creation for the source material is unknown.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777823518-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777823518-ORNL_CLOUD.html",
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         "description": "This data set includes 15 zipped archives of rectified .tif format Landsat 5 TM and Landsat 7 ETM+ scenes from near the study sites of Altamira, Santarem, Ponta de Pedras, and Bragantina in the state of Para, Brazil and Machadinho D'Oeste in Rondonia, Brazil. Dates represent the most cloud-free image retrievals from 1985-2004 and are therefore not continuous. These images may be useful to evaluate potential environmental impacts resulting from the establishment of colonization projects in the Amazon. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777751407-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777751407-ORNL_CLOUD.html",
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         "description": "This data set reports daily total precipitation data retrieved from Brazilian National Institute of Meteorology (INMET) network for three stations near two Amazonian research sites: Altamira, and Santarem, from 1961-1998.Daily precipitation totals are provided in one comma-separated ASCII file for three stations in Para, including two sites in Altamira: Altamira City and on the Transamazon Highway at Km 100 near Medicilandia (operated by EMBRAPA); and, one site in Santarem: Taperinha. Data availability varies by station (sublocation): Altamira City from 1961-1990, Transamazon Km 100 from 1982-1998,  and Taperinha from 1983-1992.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777751083-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777751083-ORNL_CLOUD.html",
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         "description": "This data set reports basic soil structure and composition information for five Amazonian research sites: Altamira, Bragantina, Tome-Acu, and Ponta de Pedras, all four in the state of Para, Brazil; and one site in Yapu, Colombia. Soil characteristics reported for all five study sites include cation information (e.g., H, Al, Mg, K, Na, S), percent of soil C, N, and organic matter, soil texture/composition and color, pH, and land use history. Soil bulk density and tons of carbon/ha are reported for only three of the study sites: Altamira, Bragantina, and Tome-Acu. All of the data are provided in one comma-separated data file.The five study areas represent characteristic differences in soil fertility and a range of land uses typical of the Amazon region. One of these areas, Altamira, is characterized by above average pH, nutrients, and texture. The other four areas are more typical of the 75 percent of the Amazon that is characterized by Oxisols and Ultisols, with well-drained but low pH and low levels of nutrients. Ponta de Pedras in Marajo Island, located in the estuary, is composed of upland Oxisols and floodplain alluvial soils. Igarape-Acu in the Bragantina region is characterized by both nutrient-poor Spodosols and Oxisols. Tome-Acu, south of Igarape-Acu, represents a mosaic of Oxisols and Ultisols. Yapu, in the Colombian Vaupes, is composed of patches of Spodosols and Oxisols. Three of the areas are colonization regions at various degrees of development: Altamira is a colonization front that opened up in 1971, whereas Tome-Acu was settled by a Japanese population in the 1930s, and Bragantina was settled in the early part of the twentieth century. Marajo (Ponta de Pedras) is the home of caboclos, whereas Yapu is home to Tukanoan Native American populations. In these study areas  slash-and-burn cultivation as well as plantation agriculture and mechanized agriculture are employed. Length of fallows vary in these communities. The two indigenous areas leave their land in longer fallow than do the three colonization areas, and the proportion of land prepared from secondary forests increases with length of settlement as the stock of mature forest declines over time.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780154255-ORNL_CLOUD.html",
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         "description": "This data set includes classified land cover transition maps at 30-m resolution derived from Landsat TM, MSS, ETM+ imagery and aerial photos of Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil. The Landsat images were classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, and water) and subjected to change detection analysis to create transition matrices of land cover change. Dates of acquired images represent the most cloud-free image retrievals from 1970-2001 for each site and are therefore not continuous. There are 3 GeoTIFF files (.tif) with this data set.",
         "license": "proprietary"
     },
@@ -118659,7 +119855,7 @@
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         "description": "This data set contains two files with vegetation data for five Amazonian sites: Altamira, Bragantina, Tome-Acu, and Ponta de Pedras, all in the state of Para, and Yapu, Colombia. One file describes vegetation composition and structure (basal area, biomass, species composition) with different land use histories for all five study sites; the second file describes more specific information about individual plant characteristics (family/species names, DBH, stem and total plant height) within each plot.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784832273-ORNL_CLOUD.html",
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         "description": "This data set includes orthorectified Landsat ETM+ scenes across the Legal Amazon region. At least one scene is provided for each spatial tile, representing the most cloud-free retrievals from mid-1999 through late 2001 (Fig. 1). Dates are therefore not continuous but include scenes from July 8, 1999 to November 13, 2001. Data have been atmospherically corrected and orthorectified. The individual images should be highly useful as they include very little cloud cover, but they should not be mosaicked together since retrieval dates vary.Data files (and format) included for each scene are: six multispectral bands (tif), two thermal bands (tif), one panchromatic band (tif), two preview files (jpg), and one metadata file (txt). The individual Geotiff files have been g-zipped and subsequently all of the files for a scene have been g-zipped together for ordering convenience.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777339420-ORNL_CLOUD.html",
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         "description": "This data set includes Landsat TM scenes from across the Legal Amazon region.  A single image is provided for each spatial tile, representing the most cloud-free retrieval from 9/21/86 to 9/17/94.  All files are in a single directory, including one band-sequential (bsq) file and one database (ddr) file for each scene.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777396961-ORNL_CLOUD.html",
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         "description": "This data set contains GIS coverage constructed from measurements taken of four logged areas in Cauaxi, Para, Brazil. Logged areas were selectively harvested either using conventional logging techniques or using reduced-impact logging (RIL) techniques (Pereira et al., 2002). Two areas were harvested with each technique in 1996 and two additional areas were harvested in 1998. Coverage includes log decks (patios), roads, skids trails, tree-fall locations, and logging area (block) boundary. These field surveys were conducted as part of an investigation of canopy damage following selective logging by two different techniques (Asner et al., 2004).Coverage is in ArcInfo interchange format (*.e00). The geographic projection of the data is UTM zone 22, South WGS84 datum.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777369863-ORNL_CLOUD.html",
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         "description": "This data set contains GIS coverages constructed from measurements taken of  logged areas in Juruena, Mato Grosso. Classes include roads, skids trails, tree crowns, tree-fall locations, and block boundary (Asner et al., 2004). Coverages are in ArcInfo SHAPE format (*.shp), UTM projection, using the WGS84 datum.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777400780-ORNL_CLOUD.html",
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         "description": "This data set contains GIS coverages constructed from measurements taken of logged areas in the Tapajos National Forest region of Para, Brazil in 1996 and 1998 (Asner et al., 2004). Coverages include log decks (patios), roads, skids trails, tree-fall locations, and block boundary. They are in ArcInfo SHAPE format (*.shp). The Tapajos data are in latitude/longitude using the WGS84 datum.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781593560-ORNL_CLOUD.html",
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         "description": "This data set reports forest biophysical measurements from a rainfall exclusion experiment conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil from 1998 to 2006. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002). Data are reported for stem inventory, tree diameter at breast height (DBH) and height, dendrometer measurements of tree diameter growth increments, canopy density, leaf area index (LAI), and coarse and fine litter mass.The measurements were made monthly from September 28, 1998 through November 10, 2006. There are six comma-delimited data files (.csv), one text file (.txt), and two companion files with this data set.  ",
         "license": "proprietary"
     },
@@ -118750,7 +119946,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781400209-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781400209-ORNL_CLOUD.html",
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         "description": "This data set provides the results of the two modeled scenarios for future patterns of deforestation across the Amazon Basin from 2002 to 2050. This larger defined Amazon Basin (PanAmazon area) includes the Amazon River watershed, the Legal Amazon in Brazil, and the Guiana region. The model SimAmazonia was used to simulate monthly deforestation in the Amazon Basin from 2002 to 2050 for two scenarios: (1) a \"Business-as-Usual\" scenario, which considered the deforestation trends across the basin and projected the rates by using historical images and their variations from 1997 to 2002 and then added to that the effect of paving a set of major roads, and (2) a \"Governance\" scenario, that also considered the current deforestation trends, but assumed a 50% limit  imposed for deforested land within each basin's subregion, and that existing and proposed Protected Areas (PAs), play a decisive role in limiting deforestation as well (Soares et al., 2006).The provided data products include one GeoTiff (*.tif) for each year (2002 to 2050) for both model scenarios for a total of 98 files. The files have been compressed in two *.zip files, one for each model scenario. There is also one comma-delimited file that contains the model input data derived from satellite deforestation maps. ",
         "license": "proprietary"
     },
@@ -118763,7 +119959,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773197258-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773197258-ORNL_CLOUD.html",
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         "description": "This data set provides measurements of specific leaf area and monthly phenological observations for selected tree and vine species at the km 67 Seca Floresta site, Tapajos National Forest, Para, Brazil. The study site was part of a rainfall exclusion experiment that was conducted from 1999-2006 to develop an understanding of the physical processes driving the observed soil water dynamics at the site. Phenological observations were made from 2001-2004 in rainfall exclusion and control plots. In total, 3,224 leaves were observed across 223 individuals and 56 species. The phenological observations included the month and year when a given leaf was first observed fully expanded and last observed alive. Starting in July 2004 and continuing through January 2006, leaves that had been followed in the phenology study were sampled and leaf area and mass were determined and the specific leaf area was calculated.There are two comma-delimited data files with this data set.",
         "license": "proprietary"
     },
@@ -118776,7 +119972,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768944064-ORNL_CLOUD.html",
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         "description": "A simple GIS soil-water balance model for the Amazon Basin, called RisQue (Risco de Queimadasa -- Fire Risk), was used to conduct an analysis of spatial and temporal patterns of drought in moist tropical forests and the complex relationships between patterns of drought and forest fire regimes from 1995 through 2001. The provided data products are the model output estimates of maximum plant-available soil water (PAWmax) at 10 m depth at 8 km resolution and model data inputs of monthly precipitation and evapotranspiration. RisQue estimates PAWmax at 10 m depth starting with a map of PAWmax (1-2 m depth) developed using 1,565 RADAMBRASIL soil texture profiles and empirical relationships between soil texture and critical soil water parameters and then interpolated to 8 km resolution. In RisQue, plant-available soil water (PAW) is depleted by monthly evapotranspiration estimated using the Penman Monteith equation and satellite-derived radiation and recharged by monthly precipitation.There are three data files with this data set, two *.zip, and one GeoTIFF image (.tif). The *.zip files expand to 83 *.asc files of evapotranspiration and 89 *.asc files for precipitation data. The image (.tif) is a map of  maximum percent available water at 10 m depth. All the files in this data set are in standard arc/info asciigrid format at 8 km resolution.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781644640-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781644640-ORNL_CLOUD.html",
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         "description": "This data set contains biomass estimates for coarse roots measured on the forest floor and measurements of fine root growth down to 2-m depth at the km 67 Rainfall Exclusion Experiment site, Tapajos National Forest, Brazil. The study site was part of a rainfall exclusion experiment that was conducted from 1999-2006 to develop an understanding of the physical processes driving the observed soil water dynamics at the site. All surface roots intersected along three 1000-m long x 1-m wide transects were identified to species, measured, and biomass calculated. The collections were made on January 26, 2001 during the experimental rain exclusion period.The fine root growth was measured from 0.5-m to 2-m depth with a rhizotron. The rhizotron tubes were inserted into deep soil pits in the control and treatment plots. Average root growth measurements are provided by depth interval on a monthly basis from July 25, 2000 to December 14, 2003. DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: There are discrepancies with the documentation, collection dates reported and collection method for fine roots utilizing rhizotrons. ",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768932524-ORNL_CLOUD.html",
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         "description": "This data set provides a single raster image containing the spatial distribution of aboveground live forest biomass of the Amazon basin. This product was derived using a methodology based on a combination of land cover map, remote sensing derived metrics, and more than 500 forest plots distributed over the basin (Saatchi, et al., 2007).The distributed map was produced in ENVI, in Tiff format and it contains forest biomass divided among 11 classes at 1 km spatial resolution with reasonable accuracy (better than 70%). Remote sensing and ground data used in this product were collected from 1990-2000. The Biomass map represents average biomass distribution over the Amazon basin over this period and was used to estimate the total carbon stock of the basin, including the dead and belowground biomass.",
         "license": "proprietary"
     },
@@ -118815,7 +120011,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777844591-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777844591-ORNL_CLOUD.html",
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         "description": "This data set contains two image mosaics of L-band radar backscatter and two image mosaics of first order texture. The two backscatter images are mosaics of L-band Radar Backscatter at Horizontal-Horizontal (HH) Polarization created from 1,500 images collected by the Japanese Earth Resources Satellite-1 (JERS-1) Synthetic Aperture Radar (SAR) over the Amazon River Basin as part of the Global Rainforest Mapping Project (GRMP). These backscatter image mosaics were developed using data collected over 62 days from August to November of 1995 for the peak of the dry season and for 62 days from May to June of 1996 during the peak of the wet season. The two image mosaics are at 3 arc-sec resolution. Data provided under this project are resampled images at 30 arc-sec resolution (or about 1 km resolution). For each radar backscatter image, first order texture statistical information was derived and is distributed along with the image mosaic.This data set contains four images each in both geotiff and ENVI formats, provided in eight zip files.  The four files in ENVI file format contain o_envi? in their file name and when extrapolated contain an envi image (*_envi.dat) and an envi image header file (_envi.hdr). The four files in geotiff format contain o_geotiff?  in their file name and when extrapolated contain *.tif and *.tfw file pairs. See Section 2 for more information about the characteristics of these data files.",
         "license": "proprietary"
     },
@@ -118828,7 +120024,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777847802-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777847802-ORNL_CLOUD.html",
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         "description": "This data set contains proportional estimates for the vegetative cover types of woody vegetation, herbaceous vegetation, and bare ground over the Amazon Basin for the period 2000-2001. These products were derived from all seven bands of the Moderate-resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA's Terra satellite. A set of MODIS 32-day composites were used to create the vegetation cover types using the Vegetation Continuous Fields (VCF) (Hansen et al., 2002) approach which shows how much of a land cover such as \"forest\" or \"grassland\" exists anywhere on the land surface.  The VCF product may depict areas of heterogeneous land cover better than traditional discrete classification schemes which shows where land cover types are concentrated.The original MODIS products are 500-m spatial resolution and are derived from 2000-2001 data products. The data were resampled to 1-km resolution for the regional study under this project, and provided as 3 separate cover type files in ENVI and GeoTIFF file formats that are provided in six zipped files. These products are registered to the rest of the regional data sets over the Amazon basin. These data are also available for download from the Global Land Cover Facility Website (http://modis.umiacs.umd.edu/). ",
         "license": "proprietary"
     },
@@ -118841,7 +120037,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781573934-ORNL_CLOUD.html",
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         "description": "This data set provides physical roughness maps of vegetation canopies in the Amazon Basin. The images are estimates of aerodynamic roughness length (Z0) and zero plane displacement height (D0) at 1-km spatial resolution. The aerodynamic roughness length (Z0) is an important parameter to determine the vertical gradients of mean wind speed and the conditions for momentum transfer over a vegetated or bare rough surface.The maps were produced from a multivariate regression model algorithm developed from field-measured vegetation structure and remote-sensing data. The data input sources included Shuttle Radar Topography Mission (SRTM) (Saatchi, 2013), JERS-1, MODIS, and field data from vegetation biomass plots over the Amazon basin, as well as tower-based wind profile measurements, and roughness parameters from LBA tower sites. There are two GeoTIFF (.tif) files with this data set.  ",
         "license": "proprietary"
     },
@@ -118854,7 +120050,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781607897-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781607897-ORNL_CLOUD.html",
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         "description": "This data set provides Normalized Difference Vegetation Index (NDVI) composite images of the Amazon Basin for the years 1999-2000 at approximately1-km spatial resolution. The images were from the VEGETATION 1 sensor, aboard the SPOT 4 satellite.Ten day composite images were reprocessed through several filters for cloud removal. Monthly NDVI data were used to create five metrics: maximum NDVI, minimum of 6 greenest months, range of NDVI between min and max, mean NDVI dry months, and mean NDVI wet months. There are five GeoTIFF (.tif) files with this data set.",
         "license": "proprietary"
     },
@@ -118867,7 +120063,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2768953357-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768953357-ORNL_CLOUD.html",
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         "description": "This dataset provides a subset of the SRTM30 Digital Elevation Model (DEM) elevation and standard deviation data for the Amazon Basin. SRTM30 is a near-global digital elevation model (DEM) comprising a combination of data from the Shuttle Radar Topography Mission (SRTM), flown in February, 2000, and the earlier U.S. Geological Survey's GTOPO30 data set. The SRTM30 resolution is 30 arc-sec or about 1 km. In processing the SRTM data, to combine with GTOPO30, the data were resampled from 3 arc-sec to 30 arc-sec. Provided here are the mean elevation and the standard deviation (STD) of the data points used in the averaging. The STD is thus an indication of topographic roughness useful in some applications.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777370025-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777370025-ORNL_CLOUD.html",
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         "description": "This image was collected by the Hyperion sensor on 10-July-2004 at 13:16:16 GMT.  It was calibrated to apparent surface reflectance using the ACORN atmospheric model.The Hyperion imager has a spectral range of 400-2500 nm, a spectral resolution of 10 nm, spatial resolution of 30 m, and a swath width of 7.8 km. Sampling is scene based (256 samples, 512 lines) (http://eo1.usgs.gov/sensors.php).  Through these large number of spectral bands, complex land ecosystems can be imaged and accurately classified.Data from the EO-1 Hyperion imaging spectrometer may greatly increase our ability to estimate the presence and structural attributes of selective logging in the Amazon Basin using four biogeophysical indicators not yet derived simultaneously from any satellite sensor: 1) green canopy leaf area index; 2) degree of shadowing; 3) presence of exposed soil and; 4) non-photosynthetic vegetation material. Airborne, field and modeling studies have shown that the optical reflectance continuum (400-2500 nm) contains sufficient information to derive estimates of each of these indicators. Our ongoing studies in the eastern Amazon basin also suggest that these four indicators are sensitive to logging intensity. Satellite-based estimates of these indicators should provide a means to quantify both the presence and degree of structural disturbance caused by various logging regimes.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781635278-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781635278-ORNL_CLOUD.html",
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         "description": "This data set provides measurements for soil physical and chemical properties, rooting depth and weight, leaf area index (LAI), plant area index (PAI), biomass, fraction of photosynthetically active radiation (fPAR), and ground-based reflectance measurements of soil and litter samples. The samples were collected from 23 areas within the Brazilian research sites of the Brasilia National Park (BNP) and Aguas Emnendadas Ecological Station (AE), Brasilia; Cangacu Research Center, Tocantins; and Tapajos National Forest, Para.The research areas were in the most intensely stressed areas in Brazil, with rapid and aggressive land use conversions in forested and cerrado-transition areas. These field measurements were conducted from June to July 2002. There are 61 comma-delimited (.csv) data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781603707-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781603707-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0xMyBnaXMgY292ZXJhZ2VzIG9mIGxvZ2dlZCBhcmVhcywgY2F1YXhpLCBwYXJhLCBicmF6aWw6IDE5OTYsIDE5OThcIixcIk9STkxfQ0xPVURcIixcIkxDMTNfR0lTX0NhdWF4aV84OTBcIixcIjFcIiwyNzc3Mzk2OTYxLDJdIiwidW1tIjoiW1wibGJhLWVjbyBsYy0xMyBnaXMgY292ZXJhZ2VzIG9mIGxvZ2dlZCBhcmVhcywgY2F1YXhpLCBwYXJhLCBicmF6aWw6IDE5OTYsIDE5OThcIixcIk9STkxfQ0xPVURcIixcIkxDMTNfR0lTX0NhdWF4aV84OTBcIixcIjFcIiwyNzc3Mzk2OTYxLDJdIn0%3D/LC21_Foliar_Nutrients_1234_1",
         "description": "This data set provides measurements for foliar nutrients from logging blocks in the Tapajos National Forest, Para Western Santarem, Brazil. Data are included for calcium (Ca), phosphorus (P), magnesium (Mg), nitrogen (N), and potassium (K) concentrations. In March 2003 foliar samples were collected from the cover types remaining after selective logging in 2002: forest, tree-fall gaps, skids, roads, and deck areas. Fresh foliage was also collected in March 2003, from 192 upper canopy species at an intact forest site 17 km from the logging area. There are two data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777743122-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777743122-ORNL_CLOUD.html",
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         "description": "This data set provides Landsat Enhanced Thematic Mapper Plus (ETM+) imagery, derived classified land cover products, and cloud-water masks for selected Brazilian states (Acre, Amapa, Amazonas, Maranhao, Mato Grosso, Para, Rondonia, and Roraima) for the years 1999-2002. The Landsat ETM+ images were processed to derive fractional land cover types (photosynthetic vegetation [PV], non-photosynthetic vegetation [NPV], and bare substrate) by application of the Carnegie Landsat Analysis System (CLAS) methodology (Asner et al., 2005). CLAS utilizes a quantitative determination of fractional land cover at the subpixel scale (e.g., within each Landsat 30 x 30 m pixel). The resulting images display estimates of subpixel land cover fraction values including free of clouds, cloud shadows, and water. There are 584 *.zip files in this data set which when expanded, contain a total of 1,717 (*.tif) images files (GeoTiff Standard format).",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781563943-ORNL_CLOUD.umm_json",
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         "description": "This data set provides the results of analyses of Landsat Enhanced Thematic Mapper Plus (ETM+) images for selective logging activity in the Brazilian states of Para, Mato Gross, Rondonia, Roraima, and Acre over the years 1999 through 2001. Images were analyzed using the Carnegie Landsat Analysis System (CLAS) to detect and to quantify the amount of damage due to selective logging in the major timber-production states of the Brazilian Amazon. This approach provided automated image analysis using atmospheric modeling for detection of forest canopy openings, surface debris, and bare soil exposed by forest disturbances; and pattern-recognition techniques. CLAS provides detailed measurements of forest-canopy damage at a spatial resolution of 30 x 30m. Fifteen GeoTiff format files are included -- one for each of the three years from 1999-2001 for each of the five states. Each GeoTiff is a single band image where each pixel represents if logging activity was or was not detected. A zero (0) value indicates that no logging was detected, while a value of one (1) indicates that damage from logging was detected. The 15 GeoTiff (*.tif) files have been compressed into one *.zip file.",
         "license": "proprietary"
     },
@@ -118945,7 +120141,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781607052-ORNL_CLOUD.html",
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         "description": "This data set provides measurements for soil nutrients from areas that were selectively logged and from control areas in the Tapajos National Forest, Para Western Santarem, Brazil. Data are included for calcium (Ca), phosphorus (P), magnesium (Mg), nitrogen (N), aluminum (Al), iron (Fe), silicon (Si), carbon 13, nitrogen 15, and potassium (K) concentrations. In addition, data are included for Phosphorus fractionation which was performed on a subset of the soils, and soil bulk density measurements. The samples were from clay-dominated (oxisols) soils.",
         "license": "proprietary"
     },
@@ -118958,7 +120154,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781643706-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781643706-ORNL_CLOUD.html",
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         "description": "This data set contains field observations, corresponding GPS points, and point and polygons of deforested areas in the state of Mato Grosso, Brazil, for the period August 2003 to July 2004. The field observations were conducted in the forested areas between Nova Mutum and Sinop, MT. These data were part of a study to validate Moderate Resolution Imaging Spectroradiometer (MODIS) data at 250-m resolution for the detection of deforested areas.There are 16 data files with this data set. This includes 10 shapefile (.shp) and six comma-separated files (.csv).",
         "license": "proprietary"
     },
@@ -118971,7 +120167,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781625095-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781625095-ORNL_CLOUD.html",
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         "description": "This data set contains field observations, corresponding GPS points, and point and polygons of deforested areas in the state of Mato Grosso, Brazil, for the period  March 17-24,2005. Fieldwork was conducted in the regions surrounding Sinop, Mato Grosso, with specific emphasis on large clearings occurring in the Xingu Basin. The field campaign was designed to validate preliminary MODIS deforestation products designed to detect deforestation during the wet season. There are five data files with this data set: four shapefiles (.shp) and one comma-separated file (.csv).",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784837251-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784837251-ORNL_CLOUD.html",
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         "description": "This data set, LBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil,  provides land cover classifications for Mato Grosso, Brazil, for the years 2000-2001 and 2003-2004. The classifications were derived from annual vegetation phenology information from a time series of Collection 4, 16-day MODerate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI), and the Enhanced Vegetation Index (EVI) vegetation data, at 250-m resolution. A decision tree classifier was trained using field observations and Landsat TM data of land cover from 2003-2004 to identify seven land-cover classes. The classifier was applied to the 2000-2001 and 2003-2004 MODIS ENVI and EVI data. There are two GeoTIFF (.tif) files with this data set.",
         "license": "proprietary"
     },
@@ -118997,7 +120193,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780900765-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780900765-ORNL_CLOUD.html",
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         "description": "This data set contains proportional estimates for the vegetative cover types of tree cover, herbaceous vegetation, and bare ground over South America for the period 2000-2001. These products were derived from all seven bands of the Moderate-resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA's Terra satellite. A set of 500-m MOD09A1 Surface Reflectance 8-day minimum blue reflectance composites were used as input data. To reduce the presence of cloud shadows, The data were converted to 40-day composites using a second darkest albedo (sum of blue, green, and red bands), and the Vegetation Continuous Fields (VCF) algorithmn  was utilized (Hansen et al., 2002). The VCF shows how much of a land cover such as forest or grassland exists anywhere on the land surface. The VCF product may depict areas of heterogeneous land cover better than traditional discrete classification schemes which shows where land cover types are concentrated. There are three images provided in GeoTIFF format.",
         "license": "proprietary"
     },
@@ -119010,7 +120206,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780155131-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780155131-ORNL_CLOUD.html",
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         "description": "This data set provides (1) areal estimates of deforestation events (>25 ha) that were identified from 2001-2004 in Mato Grosso by the Brazilian Institute for Space Research (INPE) as part of the Program for the Estimation of Deforestation in the Brazilian Amazon (PRODES) and (2) the classification of the post-deforestation land use as either cropland, cattle pasture, or not in production (deforested areas that were never fully cleared or returned immediately to secondary forest) in the years after the large deforestation events from 2002-2005. Data are provided in ESRI shapefile format. There are five compressed (*.zip) data files with this data set. Each shapefile represents one year of post-deforestation land use. Land use in the years following deforestation was estimated using annual time series of MODIS NDVI (normalized difference vegetation index) and EVI (enhanced vegetation index). Metrics of vegetation phenology derived annual time series of MODIS NDVI and EVI data were analyzed using a decision-tree classifier to characterize the major cover type in each area of new deforestation. Post-deforestation land use for each large deforestation event was classified based on the classification of MODIS phenology metrics for all years following deforestation during 2002-2005. ",
         "license": "proprietary"
     },
@@ -119023,7 +120219,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784895558-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784895558-ORNL_CLOUD.html",
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         "description": "This data set contains data associated with MODIS fire maps generated using two different algorithms and compared against fire maps produced by ASTER. These data relate to a paper (Morisette et al., 2005) that describes the use of high spatial resolution ASTER data to evaluate the characteristics of two fire detection algorithms, both applied to MODIS-Terra data and both operationally producing publicly available fire locations. The two algorithms are NASA's operational Earth Observing System MODIS fire detection product and Brazil's National Institute for Space Research (INPE) algorithm. These data are the ASCII files used in the logistic regression and error matrices presented in the paper. ",
         "license": "proprietary"
     },
@@ -119036,7 +120232,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784831948-ORNL_CLOUD.html",
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         "description": "Satellite fire detection was determined from two sensors, the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-12 and the Moderate Resolution Imaging Spectroradiometer (MODIS) on both the Terra and Aqua platforms, for 2001- 2003 to characterize fire activity in Brazil, giving special emphasis to the Amazon region. Active fire data for AVHRR/NOAA-12 was produced using a fixed threshold fire detection technique based on the algorithm developed by the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE) (Setzer and Pereira, 1991; Setzer et al., 1994; Setzer and Malingreau, 1996). Active fire data for MODIS/Terra and MODIS/Aqua was produced using a contextual fire detection technique based on NASA-University of Maryland algorithm (Justice et al., 2003; Giglio et al.2003).Resulting fire counts were compared for major biomes of Brazil (Figure 1), the nine states of the Legal Amazon (e.g., Tocantins, Figure 2), and two important road corridors in the Amazon region (Figure 3). In evaluating the daily fire counts, there is a dependence on variations in satellite viewing geometry, overpass time, atmospheric conditions, and fire characteristics (Schroeder et al., 2005). The data provided are the coordinates of daily active vegetation fires in Brazil for 2001 through 2003 at 1km resolution for both AVHRR and MODIS sensors.  Data are provided in both Arcview (shape file format) and ASCII comma separated file formats. Vector files for the major biomes of Brazil, the nine states of the Legal Amazon, and two important road corridors in the Amazon region are also included.",
         "license": "proprietary"
     },
@@ -119049,7 +120245,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777369007-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777369007-ORNL_CLOUD.html",
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         "description": "This data set contains ASTER sensor Level-1B satellite imagery over controlled burns in the State of Roraima in Northern Brazil on January 19 and 28, 2003, plus simultaneously collected soil and near-surface air temperature profiles on January 28th. The ASTER imagery is provided in 14 zipped files containing HDF-EOS files (*.hdf and *.met file pairs), while the sample-based temperature profiles, one for the air the other for the ground, are provided as comma separated ASCII files.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784834773-ORNL_CLOUD.html",
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         "description": "This data set provides the number of hot spots detected across the legal Amazon Basin at 5- km resolution by the AVHRR (Advanced Very High Resolution Radiometer) on NOAA 12, 14, 15, 16, 17, and 18 satellites for the entirety of 2001 (January 1 - December 31).  Only hot spots detected at night are included. This data is useful for modeling fire events and evaluating human impacts on the Amazon Basin using fire as an indicator of anthropogenic disturbance (Arima et al., 2007).",
         "license": "proprietary"
     },
@@ -119075,7 +120271,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835245-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835245-ORNL_CLOUD.html",
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         "description": "This data set contains a shapefile of a digitized map of the land parcel information of the original properties of the Uruara colonization site, Para, Brazil, acquired from the Instituto de Colonizacao e Reforma Agraria, or the Colonization and Agrarian Reform Institute (INCRA). The Uruara settlement geometry was initially designed by INCRA, and consists of mostly 100 hectare lots (400 x 2500 meters, and 500 x 2000 meters), running north and south of the Trans-Amazon Highway, as a fine network of small, narrow rectangles. The other parcels in the landscape are the so-called glebas that range up to 3,000 hectares. The map was in the form of a paper map without a projection (a spherical geographic coordinate system) in the South American 1969 datum (SAD 1969). This paper map was digitized in Environmental Science Research Institute (ESRI) ArcInfo 8.1 using a digitizing table, and the digital cadastral data were geo-referenced and projected to match the Universal Transverse Mercator projection (Zone 22 South, World Geodetic System 1984 datum) of Landsat imagery (Landsat.org). There is one compressed (*.zip) file with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835565-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835565-ORNL_CLOUD.html",
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         "description": "This data set contains a 1999 Landsat ETM+ mosaic image land of cover classification showing forested and deforestation areas in Uruara, Para, Brazil. This image may be overlain with the cadastral property map of the same area (see related data set LBA-ECO LC-24 Cadastral Property Map of Uruara, Para, Brazil: ca.1975). This data sets contains a single geotiff image distributed as deforested_large.zip.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777853903-ORNL_CLOUD.html",
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         "description": "This data set contains ESRI shapefiles of historical roads (basin-wide federal and state roads) in nine Brazilian states for the Legal Amazon: Amazonas, Para, Acre, Rondonia, Roraima, Tocantins, Amapa, Matto Grosso, and Maranhao. There are 48 compressed (*.zip) files for the years 1968, 1975, 1981, 1985, 1987, and 1993 in GCS South American 1969 projection.  ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779741271-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779741271-ORNL_CLOUD.html",
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         "description": "This data set is a five-class land cover for Southern Para for the years 1984 (Landsat MSS), 1988 (Landsat TM), 1996, and 2003 (Landsat ETM+). The final classification shows five classes derived using visual comparison (Water, Clouds/Shadow, Forest, Not Forest, Background). These data were used in 2007 to illustrate the nature of deforestation in Southern Para, Brazil over the past twenty years (Simmons et al. 2007). There are four annual GeoTIFF files distributed with this data set. Each GeoTIFF file and accompanying *.tfw file have been compressed into a single *.zip file. ",
         "license": "proprietary"
     },
@@ -119127,7 +120323,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779741137-ORNL_CLOUD.html",
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         "description": "This data set provides course land cover classifications derived from Landsat TM images for 1986, 1988, and 1991 for the area surrounding the municipality of Uruara, Para, Brazil. Five land cover classes (Water, Clouds/Shadow, Forest, Not Forest, and Background) were derived (Aldrich et al. 2006). The Land Cover is in a compressed (*.zip) GeoTIFF file for each year.",
         "license": "proprietary"
     },
@@ -119140,7 +120336,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2768939449-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768939449-ORNL_CLOUD.html",
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         "description": "This data set, LBA-ECO LC-24 Forest Cover Map from MODIS, 500-m, South America: 2001, contains forest cover information for 2001 for all of South America. The data were collected by the MODerate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the Earth Observing System, TERRA (AM-1) satellite platform and released by the MODIS science team as an image showing percent canopy cover. This information was then reclassified so that all pixels with a percent canopy cover greater than 40% (40% after the 1973 UNESCO standard) were classified as forest (a value of 1), and all other pixels were classified as non-forest (a value of 2). Water features were given a value of 3. This data has a pixel resolution of 500 meters and is unprojected with the WGS-1984 datum (Hansen et al. 2006). There is one GeoTIFF data file for this data set.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777291261-ORNL_CLOUD.html",
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         "description": "This data set provides annual spatial patterns of cropland, natural pasture, and planted pasture land uses across Amazonia for the period 1940/1950-1995. Two series of 5-minute grid cell historical maps were generated starting from land use classification products for 1995. Annual data are the fraction of natural pasture, planted pasture, and cropland in each 5-min grid cell. The annual maps are provided in two NetCDF (.nc) format file at 5-minute resolution. The AMZ-C.nc file covers the Brazilian portion of Amazon and Tocantins Rivers basins, and is based on the 1995 land use classification of Cardille et al. (2002), generated through the fusion of remote sensing (AVHRR) and agricultural census data. The second file, AMZ-R.nc, covers the entire Legal Amazon region and adjacent areas and is based on the 1995 land use classification by Ramankutty et al. (2008). The land use classification was generated by the fusion of satellite imagery (MODIS and VEGETATION-SPOT) and data from the agricultural census. A historical land-use reconstruction algorithm was used to generate the annual spatial patterns (based on work from Ramunkutty and Foley, 1999).",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768950526-ORNL_CLOUD.html",
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         "description": "This model product provides the Fortran source code and input data for the Simple Tropical Ecosystem Model (SITE). SITE is a simplified point model of vegetation dynamics that uses an integration interval of one hour to estimate the fluxes of CO2, water, and energy. Model forcing data are hourly meteorological parameters. SITE is a simplified model of vegetation dynamics for tropical ecosystems developed by Santos and Costa (2004).Model input data measurements of temperature, wind velocity, precipitation, latent heat, sensible heat, downward incident solar flux, and downward incident infrared flux were collected at the km 67 Tapajos National Forest site, Para, Brazil, from 2002 to 2003.SITE is structured with a canopy layer and two soil layers, and incorporates the following processes:*infrared radiation balance in the canopy and balance of solar radiation*aerodynamic processes*plant physiology*transpiration*balance of water intercepted by the canopy*transport of mass and energy fluxes*soil heat flux and soil moisture*carbon balance There are five files provided with this data set: the Fortran source code (version 1.1-0d), one file for the main program that declares variables and input parameters, one file that initializes vegetation parameters, one file used to compile the SITE model, and the km 67 input data file in comma-delimited (.csv) format. The four SITE files are provided in the compressed file SITE_Model.zip.  One companion file is also provided that  describes the collection and processing of the meteorological and flux measurements at the km 67 Tapajos National Forest site and the use of the data to calibrate SITE. ",
         "license": "proprietary"
     },
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         "description": "This data set is an active fire detection product resulting from the application of The Wildfire Automated Biomass Burning Algorithm (WF_ABBA) to Geostationary Environmental Operational Satellite (GOES) imager data for all of South America from 2000 through 2005. GOES imager data are available at 30 minute intervals with a nominal 4 x 4-km resolution. The data provided are the latitude/longitude, brightness temperature, estimates of sub-pixel fire size and temperature, Global Land Cover Characterization (GLCC) ecosystem type, and a pixel-fire flag (0-5, information regarding the probability of a fire or processing characteristics) for each active fire detected by WF_ABBA for a 30 minute imager interval. Spatial area coverage data files are provided as a complement to individual fire detection data files because the area of the latter varied according to the GOES imager scan mode in use. Versions 5.9 and 6.0 WF_ABBA data are provided. Differences between the two versions are assumed to be small though (typically less than 10%). An in-line temporal filter has been added to the algorithm to screen out false alarms associated with noise in the imagery and cloud edge issues in version 6.0. This is especially important for screening false alarms due to reflection off clouds at extreme view angles and at sunrise and sunset.There are nine compressed (*.zip) files with this data set which expand to the filtered ASCII text data files (.filt), and seven coverage files text (.txt).",
         "license": "proprietary"
     },
@@ -119192,7 +120388,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777803612-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777803612-ORNL_CLOUD.html",
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         "description": "This data set provides active fire detection images and associated summary information derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images for various locations in Brazilian Amazonia during 2001-2003. There are two image types: (1) GeoTiff images (masks) of active fire pixels, and (2) GeoTiff images (masks) of clustered active fire pixels where a distinct cluster identification number has been assigned to each individual group of contiguous active fire pixels. There are 122 GeoTiff format files of each type of fire mask; a total of 244 images. The spatial resolution of the fire mask images is 30 meters. ETM+ images were selected based on data quality, availability, as well as on the occurrence of vegetation fires.In addition to the two image types, there are also two types of fire pixel summary information provided in text files: (1) one file of active fire pixel summary information derived from the active fire pixel images, and (2) 122 files of clustered active fire pixel information derived from individual clustered fire pixel masks, each of which correspond to a clustered image.",
         "license": "proprietary"
     },
@@ -119205,7 +120401,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781588541-ORNL_CLOUD.html",
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         "description": "This data set contains modeled estimates of carbon flux, biomass, and annual burning emissions across the Brazilian state of Mato Grosso from 2000-2006. The model, DEforestation CArbon Flux (DECAF), was used to provide annual carbon fluxes from large deforestation events (>25 ha) based on post-deforestation land use, and the frequency and duration of active fires during the deforestation process. Carbon fluxes associated with the conversion of Cerrado to mechanized crop production, fires in Cerrado, and managed pasture cover types were also estimated. Model data outputs provided include:  * Estimated aboveground live biomass from DECAF in 2000 and 2004.* Annual biomass burning emissions estimates for 2001-2005 from low, middle, and high emissions scenarios with DECAF. There are 15 GeoTIFF files for annual emissions which represent the carbon emissions per pixel in grams of carbon per m2 (g C m-2). Model data inputs provided include: * Annual burn trajectories for 2001 - 2005, including deforestation, Cerrado land cover conversion, and fires in pasture and Cerrado ecosystems unrelated to agricultural expansion. These data were assembled from three sources: MODIS 500-m burned area maps, annual deforestation based on data from the INPE PRODES program, and the conversion of Cerrado savannah/woodland to cropland estimated from land cover information from MODIS phenology metrics.* Annual land cover data 2001-2004 for the portion of Mato Grosso covered by MODIS phenology metrics, tile h12v10, updated based on annual land cover changes in Amazon forest and Cerrado cover types.* Monthly Normalized Difference Vegetation Index (NDVI) for MODIS tile h12v10 from 10/2000 - 09/2006, based on cloud and gap-filled 16-day NDVI data from MODIS Collection 4 16-day NDVI composites  MOD13 product (Huete et al., 2002).There are six compressed (*.gz) files with this data set.",
         "license": "proprietary"
     },
@@ -119218,7 +120414,7 @@
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         "description": "This data set provides active fire locations and estimates of annual fire frequencies for South America from 2000-2007. Data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra (2000-2007) and Aqua (2003-2007) satellite platforms were analyzed to determine spatial and temporal patterns in satellite fire detections. The analysis considered a high-confidence subset of all MODIS fire detections to reduce the influence of false fire detections over small forest clearings in Amazonia (Schroeder et al., 2008). The number of unique days on which the active fire detections were recorded within a 1 km radius was estimated from the subset of active fire detections and the ArcGIS neighborhood variety algorithm. There are 14 data files with this data set: 7 GeoTIFF (.tif) files of fire frequency at MODIS 250 m resolution, where each grid cell value represents the number of days in that year on which active fires were detected, and 7 shape files of active fire locations for the years 2001-2007.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2343105406-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343105406-ORNL_CLOUD.html",
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         "description": "This data set provides estimates of forest canopy height derived from the Geoscience Laser Altimeter System (GLAS) LiDAR instrument that was aboard the NASA Ice, Cloud, and land Elevation (ICESat) satellite. A global GLAS waveform data set (n=12,336,553) from collection periods between October 2004 and March 2008 was processed to obtain canopy height estimates.Estimates of GLAS maximum canopy height and crown-area-weighted Lorey's height are provided for 18,578 statistically-selected globally distributed forested sites in a point shapefile. Country is included as a site attribute.Also provided is the average canopy height for the forested area of each country, plus the number of GLAS data footprints (shots), number of selected sample sites, and estimates of the variance for each country.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768949725-ORNL_CLOUD.html",
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         "description": "This model product contains the source codes for version 1 of the individual-based forest ecosystem biogeochemistry model LINKAGES and two subsequent versions as well as example input and output data. LINKAGES predicts long-term structure and dynamics of forest ecosystems as constrained by nitrogen availability, climate, and soil moisture. Model simulations compare favorably to field data from different geographic areas worldwide. LINKAGES, written in FORTRAN and provided in ASCII format, simulates birth, growth, and death of all trees greater than 1.43-cm dbh. Litter fall and decomposition are also simulated. Sunlight is the driving variable. Growing season degree days, soil water availability, and AET are calculated from precipitation, temperature, soil field moisture capacity, and wilting point. Decomposition and soil N availability are calculated from organic matter quantity and carbon chemistry, evapotranspiration, and degree of canopy closure. Light availability to each tree is a function of leaf biomass of taller trees. Degree days and availabilities of light and water constrain species reproduction. These variables plus soil N constrain tree growth and carbon accumulation in biomass. Tree death probability increases with age and slow growth. Leaf, root, and woody litter are returned to the soil at the end of each year to decay the following year. Climatic and forest data for eastern North America and New South Wales are provided as example model inputs. Modelers may use their own site data within any version of LINKAGES. Example model output is also provided.",
         "license": "proprietary"
     },
@@ -120024,7 +121220,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956546666-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956546666-ORNL_CLOUD.html",
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         "description": "This model product provides the Fortran 77 source code for the Lund-Potsdam-Jena (LPJ) Wetland Hydrology and Methane Dynamic Global Vegetation Model (LPJ-WHyMe v1.3.1), auxiliary C++ routines, ASCII and NetCDF input data, and NetCDF example output data. LPJ-WHyMe v1.3.1 simulates peatland hydrology, permafrost dynamics, peatland vegetation, and methane emissions.The model processes can be simulated on an area-averaged 0.5 or 1.0 degree grid cell basis at global, regional, or site scales and on a daily, monthly, or annual time step as appropriate. Input driver data are monthly mean air temperature, total precipitation, percentage of full sunshine, annual atmospheric CO2 concentration, and soil texture class. The simulation for each grid cell begins from \"bare ground\", requiring a \"spin up\" (under non-transient climate) of ca. 1,000 years to develop equilibrium vegetation, carbon, and soil structure. Model simulations compare favorably, with some exceptions, to field observations collected from peatland sites (e.g., Degero, Sweden; Lakkasuo, Finland; BOREAS Northern Study Area, Canada; and others) and non-peatland sites (e.g., Point Barrow, Alaska, and Spasskaya, Siberia). LPJ-WHyMe is a further development of LPJ-WHy, which dealt with the introduction of permafrost and peatlands into LPJ. Implementing peatlands in LPJ required the addition of two new plant functional types (PFTs) (flood tolerant C3 graminoids and Sphagnum mosses) to the already existing ten PFTs, the introduction of inundation stress for non-peatland PFTs, a slow-down in decomposition under inundation, and the addition of a root exudates pool. LPJ-WHyMe v1.3.1 adds a methane model subroutine. This model product has one compressed data file (*.zip) and seven companion files.",
         "license": "proprietary"
     },
@@ -120414,7 +121610,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956539244-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956539244-ORNL_CLOUD.html",
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         "description": "The NCAR LSM 1.0 is a land surface model developed to examine biogeophysical and biogeochemical land-atmosphere interactions, especially the effects of land surfaces on climate and atmospheric chemistry. It can be run coupled to an atmospheric model or uncoupled, in a stand-alone mode, if an atmospheric forcing is provided. The model runs on a spatial grid that can range from one point to global. The model was designed for coupling to atmospheric numerical models. Consequently, there is a compromise between computational efficiency and the complexity with which the necessary atmospheric, ecological, and hydrologic processes are parameterized. The model is not meant to be a detailed micrometeorological model, but rather a simplified treatment of surface fluxes that reproduces at minimal computational cost the essential characteristics of land-atmosphere interactions important for climate simulations. The model is a complete executable code with its own time-stepping driver, initialization (subroutine lsmini), and main calling routine (subroutine lsmdrv). When coupled to an atmospheric model, the atmospheric model is the time-stepping driver. There is one call to subroutine lsmini during initialization to initialize all land points in the domain; there is one call per time step to subroutine lsmdrv to calculate surface fluxes and update the ecological, hydrological, and thermal state for all land points in the domain. The model writes its own restart and history files. These can be turned off if appropriate. Available for downloading from the ORNL DAAC are the LMS Model Documentation and User's Guide, the model source code, input data set, and scripts for running the model.  Applications of the model are described in two additional companion files.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756847743-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756847743-ORNL_CLOUD.html",
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         "description": "This dataset, referred to as LUH2-GCB2019, includes 0.25-degree gridded, global maps of fractional land-use states, transitions, and management practices for the period 0850-2019. The LUH2-GCB2019 dataset is an update to the previous Land-Use Harmonization Version 2 (LUH2-GCB) datasets prepared as required input to land models in the annual Global Carbon Budget (GCB) assessments, including land-use change data relating to agricultural expansion, deforestation, wood harvesting, shifting cultivation, afforestation, and crop rotations. Compared with previous LUH2-GCB datasets, the LUH2-GCB2019 takes advantage of new data inputs that corrected cropland and grazing areas in the globally important region of Brazil, as far back as 1950. LUH2-GCB datasets are used by bookkeeping models and Dynamic Global Vegetation Models (DGVMs) for the GCB.",
         "license": "proprietary"
     },
@@ -120479,7 +121675,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3235688636-ORNL_CLOUD.html",
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         "description": "This dataset provides a two-tier annual Land Use (LU) and Urban Land Cover (LC) product suite over three African countries, Ethiopia, Nigeria, and South Africa, across a 5-year period of 2016-2020. Remote sensing data sources were used to create 30-m resolution LU maps (Tier-1), which were then utilized to delineate urban boundaries for 10-m resolution LC classes (Tier-2). Random Forest machine learning classifier models were trained on reference data for each tier and country (but one model was trained across all years); models were validated using a separate reference data set for each tier and country. Tier-1 LU maps were based on the 30-m Landsat time series, and Tier-2 urban LC maps were based on the 10-m Sentinel-2 time series. Additional data sources included climate, topography, night-time light, and soils. The overall map accuracy was 65-80% for Tier-1 maps and 60-80% for Tier-2 maps, depending on the year and country. The data are provided in cloud optimized GeoTIFF (COG) format.",
         "license": "proprietary"
     },
@@ -120492,7 +121688,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1703031208-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1703031208-NSIDC_ECS.html",
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         "description": "This data set contains Level-1B geolocated return energy waveforms collected by the NASA Land, Vegetation, and Ice Sensor (LVIS) Facility, an imaging lidar and camera sensor suite.",
         "license": "proprietary"
     },
@@ -120505,7 +121701,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1703031106-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1703031106-NSIDC_ECS.html",
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         "description": "This data set contains Level-2 geolocated surface elevation and canopy height measurements collected by the NASA Land, Vegetation, and Ice Sensor (LVIS) Facility, an imaging lidar and camera sensor suite.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1723866745-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1723866745-NSIDC_ECS.html",
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         "description": "This data set contains Level-1B geolocated return energy waveforms collected by the NASA Land, Vegetation, and Ice Sensor (LVIS) Facility, an imaging lidar and camera sensor suite.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1723866830-NSIDC_ECS.html",
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         "description": "This data set contains Level-2 geolocated surface elevation and canopy height measurements collected by the NASA Land, Vegetation, and Ice Sensor (LVIS) Facility, an imaging lidar and camera sensor suite.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736721610-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736721610-ORNL_CLOUD.html",
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         "description": "This data set provides field measurements of diameter, tree height, and crown dimensions for 1,513 trees in 30 plots at the La Selva Biological Station in Costa Rica. Fourteen of these plots were in undisturbed primary forest, six were in primary forest which had been selectively logged, seven were secondary forests, and three were abandoned pastures reverting to forest. The diameter and height data were used to calculate aboveground biomass for each of the 30 plots. The crown measurements were used to estimate a vertical profile for each plot, showing the vegetation volume in 1 meter increments from the ground to the top of the canopy.There are three comma-delimited data files and two shapefiles with this data set. The files contain the measurements and calculated biomass for the individual stems as well as the summary data at the plot level.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773258088-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773258088-ORNL_CLOUD.html",
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         "description": "This data set contains land-use, canopy height, and aboveground carbon estimates derived from LiDAR data collected at La Selva Biological Station in Costa Rica in March 1998 and March 2005. The data are provided as GeoTIFFs (*.tif) of 100-m (1-ha) resolution. A look-up table is provided that relates modeled changes in height to changes in stand characteristics (including age and carbon content). The data were used to test the accuracy and scale-dependency of high-resolution predictions of vegetation dynamics and carbon flux by the Ecosystem Demography (ED). The ED model is an individual-based terrestrial ecosystem model that predicts both ecosystem structure and corresponding ecosystem fluxes from climate, soil, and land-use inputs.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2837050574-ORNL_CLOUD.html",
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         "description": "This dataset provides lake bathymetry maps derived from Landsat surface reflectance products for a portion of the North Slope area of Alaska. A random forest regression algorithm was used to generate depths for each point identified as being part of a lake, creating depth prediction files for each Landsat scene available for the study period: 2016-07-01 to 2018-08-31. These products are fitted to the ABoVE standard projection and reference grid to make them easily scalable and geometrically compatible with other products in the ABoVE study domain. The data are provided in cloud-optimized GeoTIFF (COG) format.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2192619280-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2192619280-ORNL_CLOUD.html",
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         "description": "This dataset contains a high-resolution land cover classification focused on water and wetland vegetation classes over three NASA ABoVE Campaign regions: Yukon Flats, Alaska, USA; the Peace-Athabasca Delta, Alberta; and the Canadian Shield, Northwest Territories (NWT), Canada. The product was derived from L-band synthetic aperture radar (SAR) acquisitions from the airborne NASA UAVSAR instrument in 2017-2019. The classification was trained and validated from field visits, UAV images, satellite imagery as well as other ABoVE datasets. Classifications in all regions are provided as both preliminary 13-class versions and final, simplified 5-class versions. Training and test data used for the classifier are also included as well as characteristics of lakes in the study area. This land cover classification was developed to support a project focusing on potential methane emissions from the shallow near-shore, or littoral, regions of lakes. The emergent aquatic vegetation classes can be used as a proxy for these littoral zones. Wetland vegetation classifications are provided as gridded raster files with an approximately 5-meter spatial resolution and aligned with the original UAVSAR footprints. Composite mosaics that aggregate these UAVSAR scenes by region and day of acquisition, if applicable, are also provided. Classifications in all regions are provided as both preliminary 13-class versions and final 5-class versions.",
         "license": "proprietary"
     },
@@ -120739,7 +121935,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751481308-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751481308-ORNL_CLOUD.html",
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         "description": "The BigFoot project gathered data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2003. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. These surfaces were produced from Landsat ETM+ imagery to explicitly characterize the land cover at the BigFoot Sites to provide validation of the MODIS land cover product. BigFoot was funded by NASA's Terrestrial Ecology Program.",
         "license": "proprietary"
     },
@@ -120752,7 +121948,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784898845-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784898845-ORNL_CLOUD.html",
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         "description": "These data represent fractional land use and land cover patterns annually for the years 1500 - 2100 for the globe at 0.5-degree (~50-km) spatial resolution. Land use categories of cropland, pasture, primary land, secondary (recovering) land, and urban land, and underlying annual land-use transitions, are included. Annual data on age and biomass density of secondary land, as well as annual wood harvest, are included for each grid cell. Historical land cover data for the years 1500 - 2005 are based on HYDE 3.1 and future land cover projections for the period 2006 - 2100 came from four Integrated Assessment Model (IAM) scenarios which reach different levels of radiative forcing by year 2100: MESSAGE (8.5 W/m2), AIM (6 W/m2), GCAM (4.5 W/m2), and IMAGE (2.6 W/m2). A key feature of these data is that historical reconstructions of land use were harmonized (computationally adjusted to minimize differences at the transition period) with modeled future scenarios, allowing for a seamless examination of historical and future land use. The output data present a single consistent, spatially gridded set of land-use change scenarios for studies of human impacts on the past, present, and future Earth system. For additional information about the algorithms, inputs, and options used in creating the land use transitions data, please refer to Hurtt et al. (2006) and Hurtt et al. (2011).Data are presented as a series of twenty (20) different data products representing different past and future model scenarios. There are a total of 560 NetCDF v4 files (*.nc4), one for each combination of data product and land use variable.",
         "license": "proprietary"
     },
@@ -120765,7 +121961,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764728966-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764728966-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGVhZiByZWZsZWN0YW5jZXM6IHBlcmtpbi1lbG1lciAob3R0ZXIpXCIsXCJPUk5MX0NMT1VEXCIsXCJzcGVjdHJhX3Blcmtpbl80OFwiLFwiMVwiLDI4MDQ3NjI5NjMsM10iLCJ1bW0iOiJbXCJsZWFmIHJlZmxlY3RhbmNlczogcGVya2luLWVsbWVyIChvdHRlcilcIixcIk9STkxfQ0xPVURcIixcInNwZWN0cmFfcGVya2luXzQ4XCIsXCIxXCIsMjgwNDc2Mjk2MywzXSJ9/Land_Use_Harmonization_V2_1721_1",
         "description": "This dataset provides 0.25-degree gridded, global, annual estimates of fractional land use and land cover patterns for the period 2015-2100, designed to support the ISIMIP2b effort to assess the impacts of 1.5 Deg Celcius global warming. Land use types, land use transitions, and cropland estimates of area fraction are provided and include detailed separation of primary and secondary natural vegetation into forest and non-forest sub-types, pasture into managed pasture and rangeland, and cropland into multiple crop functional types; all transitions between land use states per grid cell per year, including crop rotations, shifting cultivation, and wood harvest; and agriculture management including irrigation, synthetic nitrogen fertilizer, and biofuel management. The LUH2-ISIMIP2b datasets were derived using Land Use Harmonization 2 (LUH2) methodology and are based on land-use scenarios provided by the REMIND-MAgPIE Integrated Assessment Model using an SSP2 storyline along with RCP2.6 and RCP6.0 emissions scenarios. In contrast to the standard SSP scenarios, these land use changes additionally account for climate and atmospheric CO2 fertilization effects on the underlying patterns of potential crop yields, water availability, and terrestrial carbon content. This is achieved by using the LPJmL (Lund-Potsdam-Jena managed land) model forced with atmospheric CO2 concentrations and patterns of climate change generated from 4 different climate models (GFDL, HADGEM, IPSL, and MIROC) consistent with the 2 different RCP scenarios, resulting in a set of 8 different LUH2-ISIMIP2b datasets.",
         "license": "proprietary"
     },
@@ -120778,7 +121974,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389083233-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389083233-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBob3VybHkgY2FyYm9uIGRpb3hpZGUgZXN0aW1hdGVkIHVzaW5nIHRoZSB3cmYgbW9kZWwsIG5vcnRoIGFtZXJpY2EsIDIwMTBcIixcIk9STkxfQ0xPVURcIixcIkNNU19XUkZfTW9kZWxfUHJvZHVjdHNfMTMzOFwiLFwiMVwiLDIzOTA0MDgyNzMsN10iLCJ1bW0iOiJbXCJjbXM6IGhvdXJseSBjYXJib24gZGlveGlkZSBlc3RpbWF0ZWQgdXNpbmcgdGhlIHdyZiBtb2RlbCwgbm9ydGggYW1lcmljYSwgMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiQ01TX1dSRl9Nb2RlbF9Qcm9kdWN0c18xMzM4XCIsXCIxXCIsMjM5MDQwODI3Myw3XSJ9/Landcover_Colombian_Amazon_1783_1",
         "description": "This dataset provides annual maps of land cover classes for the Colombian Amazon from 2001 through 2016 that were created by classifying time segments detected by the Continuous Change Detection and Classification (CCDC) algorithm. The CCDC algorithm detected changes in Landsat pixel surface reflectance across the time series, and the time segments were classified into land cover types using a Random Forest classifier and manually collected training data. Annual maps of land cover were created for each Landsat scene and then post-processed and mosaicked. Land cover types include unclassified, forest, natural grasslands, urban, pastures, secondary forest, water, or highly reflective surfaces. The training data are not included with this dataset.",
         "license": "proprietary"
     },
@@ -120882,7 +122078,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162119017-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162119017-ORNL_CLOUD.html",
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         "description": "This dataset provides the last day of spring snow cover for most of Alaska and the Yukon Territory for 2000 through 2016. The data are based on the MODIS daily snow cover fraction product (MODSCAG) and are provided at 500-m resolution. Pixels in the daily snow cover fraction grids from April 1 through July 31 were flagged as \"Snow\" if the snow fraction exceeded 0.15, resulting in a time series of binary daily snow cover grids for each year. The annual last day of spring snow for each pixel was identified by day of the year ranging from 91 (April 1) to 183 (July 2).",
         "license": "proprietary"
     },
@@ -120912,6 +122108,19 @@
         "description": "This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate of electron transport (Jmax) are primary determinants of photosynthetic rates in plants, and modeled carbon fluxes are highly sensitive to these parameters. Previous studies have shown that Vcmax and Jmax correlate with leaf nitrogen across species and regions, and locally across species with leaf phosphorus and specific leaf area, yet no universal relationship suitable for global-scale models is currently available. These data are suitable for exploring the general relationships of Vcmax and Jmax with each other and with leaf N, P and SLA. This data set contains one *.csv file.",
         "license": "proprietary"
     },
+    {
+        "id": "LeapSecT_001",
+        "title": "Leap Seconds - ECS internal format for Toolkit V 001 Non-orderable",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1961-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425138-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425138-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIiwidW1tIjoiW1wiZHNjb3ZyIGVwaWMgbGV2ZWwgMiBjbG91ZCB2ZXJzaW9uIDAzXCIsXCJMQVJDX0NMT1VEXCIsXCJEU0NPVlJfRVBJQ19MMl9DTE9VRFwiLFwiM1wiLDI3MjI0NjE1NzMsMTNdIn0%3D/LeapSecT_001",
+        "description": "ECS internal format for Toolkit for time difference TAI - UT; From 1961 to 1971, approximate equivalent to TAI-UT; from 1/1/1972 onwards, actual leap seconds, meaning TAI - UTC",
+        "license": "proprietary"
+    },
     {
         "id": "Level_2A_aerosol_cloud_optical_products_NA",
         "title": "Aeolus L2A Aerosol/Cloud optical product",
@@ -120934,7 +122143,7 @@
         "bbox": "-68.3, -26.7, -39.06, -1.58",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2398128915-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2398128915-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGVhZiByZWZsZWN0YW5jZXM6IHBlcmtpbi1lbG1lciAob3R0ZXIpXCIsXCJPUk5MX0NMT1VEXCIsXCJzcGVjdHJhX3Blcmtpbl80OFwiLFwiMVwiLDI4MDQ3NjI5NjMsM10iLCJ1bW0iOiJbXCJsZWFmIHJlZmxlY3RhbmNlczogcGVya2luLWVsbWVyIChvdHRlcilcIixcIk9STkxfQ0xPVURcIixcInNwZWN0cmFfcGVya2luXzQ4XCIsXCIxXCIsMjgwNDc2Mjk2MywzXSJ9/LiDAR_Forest_Inventory_Brazil_1644_1",
         "description": "This dataset provides the complete catalog of point cloud data collected during LiDAR surveys over selected forest research sites across the Amazon rainforest in Brazil between 2008 and 2018 for the Sustainable Landscapes Brazil Project. Flight lines were selected to overfly key field research sites in the Brazilian states of Acre, Amazonas, Bahia, Goias, Mato Grosso, Para, Rondonia, Santa Catarina, and Sao Paulo. The point clouds have been georeferenced, noise-filtered, and corrected for misalignment of overlapping flight lines. They are provided in 1 km2 tiles. The data were collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.",
         "license": "proprietary"
     },
@@ -120947,7 +122156,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401877-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401877-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/LiDAR_Tundra_Forest_AK_1782_1",
         "description": "This dataset provides terrestrial lidar scanning (TLS) point cloud data collected at 10 research plots along the forest-tundra ecotone (FTE) in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. Data were collected in mid-June 2016. Data were acquired for each plot from multiple scan positions with a Leica ScanStation C10 green wavelength laser instrument. After processing the point spacing is < 1 cm. TLS enables resolution of 3-dimensional landscape features that can be used to derive ecologically important metrics of canopy structure and surface topography at high spatial resolution.",
         "license": "proprietary"
     },
@@ -120960,7 +122169,7 @@
         "bbox": "-116.89, 42.28, -114.68, 43.33",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2767326506-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767326506-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGVhZiByZWZsZWN0YW5jZXM6IHBlcmtpbi1lbG1lciAob3R0ZXIpXCIsXCJPUk5MX0NMT1VEXCIsXCJzcGVjdHJhX3Blcmtpbl80OFwiLFwiMVwiLDI4MDQ3NjI5NjMsM10iLCJ1bW0iOiJbXCJsZWFmIHJlZmxlY3RhbmNlczogcGVya2luLWVsbWVyIChvdHRlcilcIixcIk9STkxfQ0xPVURcIixcInNwZWN0cmFfcGVya2luXzQ4XCIsXCIxXCIsMjgwNDc2Mjk2MywzXSJ9/LiDAR_Veg_Ht_Idaho_1532_1",
         "description": "This dataset provides the point cloud data derived from small footprint waveform LiDAR data collected in August 2014 over Reynolds Creek Experimental Watershed and Hollister in southern Idaho. The LiDAR data have been georeferenced, noise-filtered, and corrected for misalignment for overlapping flight lines and are provided in 1 km tiles. High resolution digital elevation models and maps of maximum vegetation height derived from the LiDAR data are provided for each site.",
         "license": "proprietary"
     },
@@ -122884,7 +124093,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2956546176-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956546176-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibHVoMi1pc2ltaXAyYiBoYXJtb25pemVkIGdsb2JhbCBsYW5kIHVzZSBmb3IgdGhlIHllYXJzIDIwMTUtMjEwMFwiLFwiT1JOTF9DTE9VRFwiLFwiTGFuZF9Vc2VfSGFybW9uaXphdGlvbl9WMl8xNzIxXCIsXCIxXCIsMjc2NDcyODk2NiwyXSIsInVtbSI6IltcImx1aDItaXNpbWlwMmIgaGFybW9uaXplZCBnbG9iYWwgbGFuZCB1c2UgZm9yIHRoZSB5ZWFycyAyMDE1LTIxMDBcIixcIk9STkxfQ0xPVURcIixcIkxhbmRfVXNlX0hhcm1vbml6YXRpb25fVjJfMTcyMVwiLFwiMVwiLDI3NjQ3Mjg5NjYsMl0ifQ%3D%3D/MAPSS_853_1",
         "description": "MAPSS (Mapped Atmosphere-Plant-Soil System) is a landscape to global vegetation distribution model that was developed to simulate the potential biosphere impacts and biosphere-atmosphere feedbacks from climatic change. Model output from MAPSS has been used extensively in the Intergovernmental Panel on Climate Change's (IPCC) regional and global assessments of climate change impacts on vegetation and in several other projects.",
         "license": "proprietary"
     },
@@ -123040,7 +124249,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2731778271-ORNL_CLOUD.umm_json",
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         "description": "This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during a single flight aboard a DOE B-200 aircraft over California, Nevada, and Arizona, U.S., on 1999-05-11. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory (RSL) located at Nellis Air Force Base near Las Vegas, Nevada. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 10-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
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         "description": "This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during seven flights aboard a DOE B-200 aircraft over California, New Mexico, and Nevada, U.S., on 2002-05-14 to 2002-05-24. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory (RSL) located at Nellis Air Force Base near Las Vegas, Nevada. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 10-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
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         "description": "This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during six flights aboard a DOE B-200 aircraft over California, Arizona, and New Mexico, U.S., from 2010-10-04 to 2010-10-13. Objectives included mapping for California Fire-Burn Area Emergency Response (BAER) and Jornada Experimental Range in southern New Mexico (JORNEX). This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory (RSL) located at Nellis Air Force Base near Las Vegas, Nevada. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 10-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
         "license": "proprietary"
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@@ -124240,6 +125449,19 @@
         "description": "This dataset contains the Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (MAS) multispectral data collected during the SAFARI 2000 project. The flights were undertaken over Southern Africa by the NASA ER-2 aircraft during August and September, 2000.",
         "license": "proprietary"
     },
+    {
+        "id": "MB2LME_002",
+        "title": "MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-27",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334785-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334785-LARC_CLOUD.html",
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+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002 contains the ellipsoid projected TOA parameters for the single local mode scene, resampled to WGS84 ellipsoid.",
+        "license": "proprietary"
+    },
     {
         "id": "MB2LME_002",
         "title": "MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002",
@@ -124253,11 +125475,24 @@
         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002 contains the ellipsoid projected TOA parameters for the single local mode scene, resampled to WGS84 ellipsoid.",
         "license": "proprietary"
     },
+    {
+        "id": "MB2LMT_002",
+        "title": "MISR Level 1B2 Local Mode Terrain Radiance Data V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-27",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335039-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335039-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MB2LMT_002",
+        "description": "MB2LMT_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Local Mode Terrain Radiance Data Version 2 product. It contains the terrain-projected Top-of-Atmosphere (TOA) radiance for the single local mode scene, resampled at the surface and topographically corrected.   MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MB2LMT_2",
         "title": "MISR Level 1B2 Local Mode Terrain Radiance Data V002",
         "catalog": "LARC STAC Catalog",
-        "state_date": "2000-02-27",
+        "state_date": "1999-12-18",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
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         "license": "proprietary"
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         "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43C3 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Albedo dataset is produced daily using 16 days of Terra and Aqua MODIS data in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). Data are temporally weighted to the ninth day of the retrieval period which is reflected in the Julian date in the file name. This CMG product covers the entire globe for use in climate simulation models.     MCD43C3 provides black-sky albedo (directional hemispherical reflectance) and white-sky albedo (bihemispherical reflectance) at local solar noon. Black-sky albedo and white-sky albedo values are available as a separate layer for MODIS spectral bands 1 through 7 as well as the visible, near infrared (NIR), and shortwave bands. Along with the 20 albedo layers are ancillary layers for quality, local solar noon, percent finer resolution inputs, snow cover, and uncertainty.    Improvements/Changes from Previous Versions    * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017.  * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).  ",
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         "license": "proprietary"
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         "license": "proprietary"
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         "license": "proprietary"
     },
@@ -126463,6 +127698,19 @@
         "description": "Samples were collected on Macquarie Island from three sites: the main powerhouse, the fuel farm and a reference site on the isthmus by the Bioremediation Project team in January 2008. Soil characteristics including conductivity, pH, total petroleum hydrocarbons, total carbon, nitrate, nitrite, ammonium, fluoride, bromide, chloride, sulphate and phosphate were measured.  The data consists of two files, the rtf file contains the methods used and the csv file contains the soil characteristics. Samples are identified by a barcode which is the barcode number assigned by the Bioremediation Project Sample Tracking Database.  This work was carried out as part of AAS project 1163.",
         "license": "proprietary"
     },
+    {
+        "id": "MI1AC_002",
+        "title": "MISR Level 1A Calibration Data V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-13",
+        "end_date": "",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604599-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604599-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MI1AC_002",
+        "description": "MI1AC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Calibration data in DN. The data numbers have been commuted from 12-bit numbers to 16-bit, byte aligned half-words version 2. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+        "license": "proprietary"
+    },
     {
         "id": "MI1AC_2",
         "title": "MISR Level 1A Calibration Data V002",
@@ -126476,6 +127724,58 @@
         "description": "MI1AC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Calibration data in DN. The data numbers have been commuted from 12-bit numbers to 16-bit, byte aligned half-words version 2. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
         "license": "proprietary"
     },
+    {
+        "id": "MI1AENG1_002",
+        "title": "MISR Level 1A Engineering Data file Type 1 V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-25",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604635-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604635-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MI1AENG1_002",
+        "description": "MI1AENG1_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Engineering Data file Type 1 version 2. It is the Reformatted Annotated Level 1A product for the camera Engineering data, which represents indicators of sampled measurements for that MISR instrument. This product provides all of the data needed to describe the state of the instrument for Level 1 processing and analysis at a later date. These data are composed primarily of temperatures, voltages and currents of each camera, the optical bench, calibration diodes, and system electronics. Verification and reporting flags for latches and limit-switches on the cover/goniometer and the calibration diffuser panels are also incorporated into these data. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI1AMOT_003",
+        "title": "MISR Motor Data V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2003-12-16",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604701-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604701-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI1AMOT_003",
+        "description": "MISR Level 1A Motor Data are acquired as part of an on-orbit calibration experiment. These data consist of measurements of the MISR instrument calibration panel motor currents. These data also include packet data for motor ID, motor current sampling frequency, and motor temperature.The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward and four cameras pointing aftward. It takes 7 minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI1ANAV_002",
+        "title": "MISR Level 1A Navigation Data V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-25",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604767-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2917604767-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MI1ANAV_002",
+        "description": "MI1ANAV_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Navigation Data version 2. This is the Reformatted Annotated Level 1A Product for the Navigation Data, which contains samples of the EOS-AM1 Platform position and attitude data. It includes all spacecraft position, velocity, attitude and attitude rate data incorporated into MISR Level 1A Engineering Data packets. These data are read from the Command and Telemetry Bus during the period of one EOS-TERRA orbit for which it contains samples of the platform position and attitude data. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI1AOBC_002",
+        "title": "MISR OBC Data V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2003-07-30",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2917605198-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2917605198-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/MI1AOBC_002",
+        "description": "MI1AOBC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) OBC Data version 2. This file contains the output for the Level 1A On-board Calibrator Data and it provides the radiometry from PIN and HQE diodes and goniometer mechanism readings collected during calibration mode operations near the north and south poles and over the dark side of the Earth (or during science mode operations over the sunlit side of the Earth). The diode radiometry acquired during north and south pole calibration sequences will be used to determine brightness and reflective characteristics of a MISR diffuser panel as observed by each of the nine MISR cameras. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+        "license": "proprietary"
+    },
     {
         "id": "MI1AOBC_2",
         "title": "MISR OBC Data V002",
@@ -126489,6 +127789,19 @@
         "description": "MI1AOBC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) OBC Data version 2. This file contains the output for the Level 1A On-board Calibrator Data and it provides the radiometry from PIN and HQE diodes and goniometer mechanism readings collected during calibration mode operations near the north and south poles and over the dark side of the Earth (or during science mode operations over the sunlit side of the Earth). The diode radiometry acquired during north and south pole calibration sequences will be used to determine brightness and reflective characteristics of a MISR diffuser panel as observed by each of the nine MISR cameras. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
         "license": "proprietary"
     },
+    {
+        "id": "MI1B1_002",
+        "title": "MISR Level 1B1 Radiance Data V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768416-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768416-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MI1B1_002",
+        "description": "This is the Level 1B1 Product containing the DNs radiometrically-scaled to radiances with no geometric resampling",
+        "license": "proprietary"
+    },
     {
         "id": "MI1B1_002",
         "title": "MISR Level 1B1 Radiance Data V002",
@@ -126499,7 +127812,20 @@
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179031454-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179031454-LARC.html",
         "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsMiB0b2EvY2xvdWQgc3RlcmVvIHByb2R1Y3Qgc3Vic2V0IGZvciB0aGUgaW50ZXgtYiByZWdpb24gdjAwMlwiLFwiTEFSQ1wiLFwiSVhCTUkyU1RcIixcIjJcIiwxMDAwMDAwMjgzLDE3XSIsInVtbSI6IltcIm1pc3IgbDIgdG9hL2Nsb3VkIHN0ZXJlbyBwcm9kdWN0IHN1YnNldCBmb3IgdGhlIGludGV4LWIgcmVnaW9uIHYwMDJcIixcIkxBUkNcIixcIklYQk1JMlNUXCIsXCIyXCIsMTAwMDAwMDI4MywxN10ifQ%3D%3D/MI1B1_002",
-        "description": "This is the Level 1B1 Product containing the DNs radiometrically-scaled to radiances with no geometric resampling",
+        "description": "MI1B1_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B1 Radiance Data version 2. It contains the data numbers (DNs) radiometrically scaled to radiances with no geometric resampling and spectral radiances for all MISR channels. Each value represents the incident radiance averaged over the sensor's total band response. Processing includes both radiance scaling and conditioning steps. Radiance scaling converts the Level 1A data from digital counts to radiances, using coefficients derived with the On-Board Calibrator (OBC) and vicarious calibrations. The OBC contains Spectralon calibration panels, deployed monthly and reflect sunlight into cameras. The OBC detector standards then measure this reflected light to provide the calibration. No out-of-band correction is done for this product, nor are the data geometrically corrected or resampled. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. Data collection for this product is ongoing. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI1B2E_003",
+        "title": "MISR Level 1B2 Ellipsoid Data V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3257326597-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3257326597-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MI1B2E_003",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Ellipsoid Data V003 contains Ellipsoid-projected TOA Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.",
         "license": "proprietary"
     },
     {
@@ -126519,7 +127845,7 @@
         "id": "MI1B2E_004",
         "title": "MISR Level 1B2 Ellipsoid Data V004",
         "catalog": "LARC STAC Catalog",
-        "state_date": "2022-10-13",
+        "state_date": "1999-12-18",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2794373815-LARC.umm_json",
@@ -126528,6 +127854,19 @@
         "description": "MI1B2E_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Ellipsoid Data Version 4 product. It contains Ellipsoid-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
         "license": "proprietary"
     },
+    {
+        "id": "MI1B2E_004",
+        "title": "MISR Level 1B2 Ellipsoid Data V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2022-10-13",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334599-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334599-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MI1B2E_004",
+        "description": "MI1B2E_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Ellipsoid Data Version 4 product. It contains Ellipsoid-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MI1B2T_003",
         "title": "MISR Level 1B2 Terrain Data V003",
@@ -126541,13 +127880,39 @@
         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Terrain Data V003 contains Terrain-projected TOA Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.",
         "license": "proprietary"
     },
+    {
+        "id": "MI1B2T_003",
+        "title": "MISR Level 1B2 Terrain Data V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-19",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3257326624-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3257326624-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MI1B2T_003",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Terrain Data V003 contains Terrain-projected TOA Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.",
+        "license": "proprietary"
+    },
     {
         "id": "MI1B2T_004",
         "title": "MISR Level 1B2 Terrain Data V004",
-        "catalog": "LARC STAC Catalog",
+        "catalog": "LARC_CLOUD STAC Catalog",
         "state_date": "2022-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334658-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334658-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MI1B2T_004",
+        "description": "MI1B2T_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Terrain Data Version 4 product. It contains Terrain-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI1B2T_004",
+        "title": "MISR Level 1B2 Terrain Data V004",
+        "catalog": "LARC STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2794373806-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2794373806-LARC.html",
         "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsMiB0b2EvY2xvdWQgc3RlcmVvIHByb2R1Y3Qgc3Vic2V0IGZvciB0aGUgaW50ZXgtYiByZWdpb24gdjAwMlwiLFwiTEFSQ1wiLFwiSVhCTUkyU1RcIixcIjJcIiwxMDAwMDAwMjgzLDE3XSIsInVtbSI6IltcIm1pc3IgbDIgdG9hL2Nsb3VkIHN0ZXJlbyBwcm9kdWN0IHN1YnNldCBmb3IgdGhlIGludGV4LWIgcmVnaW9uIHYwMDJcIixcIkxBUkNcIixcIklYQk1JMlNUXCIsXCIyXCIsMTAwMDAwMDI4MywxN10ifQ%3D%3D/MI1B2T_004",
@@ -126658,6 +128023,19 @@
         "description": "It contains a statistical summary of column aerosol              555 nanometer optical depth, and a monthly aerosol              compositional type frequency histogram. Data collection              for this product is ongoing. This data product is a              global summary of the Level 2 aerosol parameters of              interest averaged over a day and reported on a              geographic grid, with a resolution of 0.5 degree by 0.5              degree.             FIRSTLOOK processing uses the new time dependence of              the Atmospheric and Surface Climatology (TASC) from the              same month/previous year. The TASC data set now              contains snow ice and ocean surface wind speed values              that are updated on a monthly basis. Therefore, these              data sets cannot be generated until the end of the              month. Products generated are distinguished by the              presence of FIRST LOOK in the file names. The MISR              instrument consists of nine pushbroom cameras which              measure radiance in four spectral bands. Global              coverage is achieved in nine days. The cameras are              arranged with one camera pointing toward the nadir,              four cameras pointing forward, and four cameras              pointing aftward. It takes seven minutes for all nine              cameras to view the same surface location. The view              angles relative to the surface reference ellipsoid are              0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral              band shapes are nominally Gaussian, centered at 443,              555, 670, and 865 nm.            MISR itself is an instrument designed to view Earth              with cameras pointed in 9 different directions. As the             \"instrument flies overhead, each piece of Earth s.\"            the surface below is successively imaged by all nine cameras              in each of 4 wavelengths (blue, green, red, and              near-infrared). The goal of MISR is to improve our              understanding of the effects of sunlight on Earth and to distinguish different types of clouds,              particles, and surfaces. Specifically, MISR monitors the              monthly, seasonal, and long-term trends in three areas:              1) amount and type of atmospheric particles (aerosols),              including those formed by natural sources and by human              activities; 2) amounts, types, and heights of clouds,              and 3) distribution of land surface cover, including              vegetation canopy structure.",
         "license": "proprietary"
     },
+    {
+        "id": "MI3DAENF_002",
+        "title": "MISR Level 3 FIRSTLOOK Global Aerosol product in netCDF format covering a day V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338720-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338720-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MI3DAENF_002",
+        "description": "It contains a statistical summary of column aerosol              555 nanometer optical depth, and a monthly aerosol              compositional type frequency histogram. Data collection              for this product is ongoing. This data product is a              global summary of the Level 2 aerosol parameters of              interest averaged over a day and reported on a              geographic grid, with a resolution of 0.5 degree by 0.5              degree.             FIRSTLOOK processing uses the new time dependence of              the Atmospheric and Surface Climatology (TASC) from the              same month/previous year. The TASC data set now              contains snow ice and ocean surface wind speed values              that are updated on a monthly basis. Therefore, these              data sets cannot be generated until the end of the              month. Products generated are distinguished by the              presence of FIRST LOOK in the file names. The MISR              instrument consists of nine pushbroom cameras which              measure radiance in four spectral bands. Global              coverage is achieved in nine days. The cameras are              arranged with one camera pointing toward the nadir,              four cameras pointing forward, and four cameras              pointing aftward. It takes seven minutes for all nine              cameras to view the same surface location. The view              angles relative to the surface reference ellipsoid are              0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral              band shapes are nominally Gaussian, centered at 443,              555, 670, and 865 nm.            MISR itself is an instrument designed to view Earth              with cameras pointed in 9 different directions. As the             \"instrument flies overhead, each piece of Earth s.\"            the surface below is successively imaged by all nine cameras              in each of 4 wavelengths (blue, green, red, and              near-infrared). The goal of MISR is to improve our              understanding of the effects of sunlight on Earth and to distinguish different types of clouds,              particles, and surfaces. Specifically, MISR monitors the              monthly, seasonal, and long-term trends in three areas:              1) amount and type of atmospheric particles (aerosols),              including those formed by natural sources and by human              activities; 2) amounts, types, and heights of clouds,              and 3) distribution of land surface cover, including              vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MI3DAER_2",
         "title": "MISR Level 3 Component Global Aerosol Regional public Product covering a day V002",
@@ -126671,6 +128049,19 @@
         "description": "MI3DAER_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Aerosol Regional public Product covering a day version 2. It contains a statistical summary of column aerosol 555 nanometer optical depth, and a monthly aerosol compositional type frequency histogram. This data product is a global summary of the Level 2 aerosol parameters of interest averaged over a day and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product is complete. The data are for distinct regions associated with associated field campaigns. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
         "license": "proprietary"
     },
+    {
+        "id": "MI3DALF_002",
+        "title": "MISR Level 3 FIRSTLOOK Component Global Albedo product covering a day V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337789-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337789-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MI3DALF_002",
+        "description": "MI3DALF_002 is the Multiangle Imaging SpectroRadiometer (MISR) Level 3 FIRST LOOK Component Global Albedo product covering a day version 2. It is intended to be used starting with MISR Release version 4.2, a global summary of the Level 2 albedo parameters of interest averaged over a day and reported on a geographic grid. It has multiple data layers, with varying temporal resolutions of 1 degree by 1 degree and 5 degrees by 5 degrees. Data collection for this product is ongoing.  FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snowice and ocean surface wind speed values that are updated monthly. Therefore, these data sets cannot be generated until the end of the month. The presence of FIRST LOOK in the file names distinguishes the products generated. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras pointed in 9 different directions. As the \"instrument flies overhead, each piece of Earth's \"surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MI3DALF_002",
         "title": "MISR Level 3 FIRSTLOOK Component Global Albedo product covering a day V002",
@@ -126684,6 +128075,19 @@
         "description": "MI3DALF_002 is the Multiangle Imaging SpectroRadiometer (MISR) Level 3 FIRST LOOK Component Global Albedo product covering a day version 2. It is intended to be used starting with MISR Release version 4.2, a global summary of the Level 2 albedo parameters of interest averaged over a day and reported on a geographic grid. It has multiple data layers, with varying temporal resolutions of 1 degree by 1 degree and 5 degrees by 5 degrees. Data collection for this product is ongoing.  FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snowice and ocean surface wind speed values that are updated monthly. Therefore, these data sets cannot be generated until the end of the month. The presence of FIRST LOOK in the file names distinguishes the products generated. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras pointed in 9 different directions. As the \"instrument flies overhead, each piece of Earth's \"surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
         "license": "proprietary"
     },
+    {
+        "id": "MI3DALNF_002",
+        "title": "MISR Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a day V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338447-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338447-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3DALNF_002",
+        "description": "MI3DALNF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a day version 2. It is a global summary of the Level 2 albedo parameters of interest averaged over a day and reported on a geographic grid; it has multiple data layers with varying temporal resolutions of 1 degree by 1 degree and 5 degrees by 5 degrees. Data collection for this product is ongoing. FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 3 FIRSTLOOK Component Global Albedo is a publicly available product in netCDF format that covers a day.",
+        "license": "proprietary"
+    },
     {
         "id": "MI3DALNF_002",
         "title": "MISR Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a day V002",
@@ -126697,6 +128101,19 @@
         "description": "MI3DALNF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a day version 2. It is a global summary of the Level 2 albedo parameters of interest averaged over a day and reported on a geographic grid; it has multiple data layers with varying temporal resolutions of 1 degree by 1 degree and 5 degrees by 5 degrees. Data collection for this product is ongoing. FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 3 FIRSTLOOK Component Global Albedo is a publicly available product in netCDF format that covers a day.",
         "license": "proprietary"
     },
+    {
+        "id": "MI3DCDF_002",
+        "title": "MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a day V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338179-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338179-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MI3DCDF_002",
+        "description": "This file contains the public MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a day. MI3DCDF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Component Global Cloud Product covering a day version 2. It is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a day and reported on a geographic grid; it has multiple data layers with varying temporal resolutions of 0.5 degrees by 0.5 degrees and 2.5 degrees by 2.5 degrees resolution. Data collection for this product is ongoing. \\r\\n\\r\\nFIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MI3DCDF_002",
         "title": "MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a day V002",
@@ -126723,6 +128140,45 @@
         "description": "MI3DCDNF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a day version 2. It contains the public MISR Level 3 FIRSTLOOK Global Cloud public product in netCDF format covering a day. It is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a day and reported on a geographic grid. It has multiple data layers, with varying temporal resolutions of 0.5 degrees by 0.5 degrees and granules of 2.5 degrees by 2.5 degrees. Data collection for this product is ongoing. FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated monthly. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.  This file contains the public MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a day.",
         "license": "proprietary"
     },
+    {
+        "id": "MI3DCDNF_002",
+        "title": "MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a day V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338573-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338573-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3DCDNF_002",
+        "description": "MI3DCDNF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a day version 2. It contains the public MISR Level 3 FIRSTLOOK Global Cloud public product in netCDF format covering a day. It is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a day and reported on a geographic grid. It has multiple data layers, with varying temporal resolutions of 0.5 degrees by 0.5 degrees and granules of 2.5 degrees by 2.5 degrees. Data collection for this product is ongoing. FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated monthly. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.  This file contains the public MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a day.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI3DCLDN_001",
+        "title": "MISR Non-orderable MI3DCLDN",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927799590-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927799590-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3DCLDN_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI3DCLDN_002",
+        "title": "MISR Level 3 Global Cloud public Product in netCDF format covering a day V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-25",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768588-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768588-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3DCLDN_002",
+        "description": "MI3DCLDN_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Cloud public Product in netCDF format covering a day version 2. It contains the public MISR Level 3 Global Cloud Product in netCDF format covering a day and is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a year and reported on a geographic grid, it has multiple data layers, with varying temporal resolutions of 0.5 degree by 0.5 degree as well as 2.5 degree by 2.5 degree. Data collection for this product is ongoing.   The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MI3DCLDN_2",
         "title": "MISR Level 3 Global Cloud public Product in netCDF format covering a day V002",
@@ -126749,6 +128205,19 @@
         "description": "This file contains the MISR Level 3 FIRSTLOOK Component Global Land Product covering a day",
         "license": "proprietary"
     },
+    {
+        "id": "MI3DLSNF_002",
+        "title": "MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a day V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338930-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854338930-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3DLSNF_002",
+        "description": "This file contains the MISR Level 3 FIRSTLOOK Component Global Land product in netCDF format covering a day",
+        "license": "proprietary"
+    },
     {
         "id": "MI3DLSNF_002",
         "title": "MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a day V002",
@@ -126775,6 +128244,19 @@
         "description": "MI3DLSR_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Land Regional public Product covering a dayversion 2. It contains a daily statistical summary of directional hemispherical reflectance (DHR), photosynthetically active spectral region (DHR-PAR), DHR for near-infrared band (DHR-NIR), fractional absorbed photosynthetically active radiation (FPAR), DHR-based normalized difference vegetation index (NDVI) and land surface bidirectional reflectance factor (BRF) model parameters. It is classified into six vegetated and one non-vegetated types. This data product is a global summary of the Level 2 land/surface parameters of interest averaged over a day and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product is complete. The data are for distinct regions associated with associated field campaigns. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
         "license": "proprietary"
     },
+    {
+        "id": "MI3DRDF_002",
+        "title": "MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a day V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337331-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337331-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MI3DRDF_002",
+        "description": "This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a day",
+        "license": "proprietary"
+    },
     {
         "id": "MI3DRDF_002",
         "title": "MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a day V002",
@@ -126814,6 +128296,19 @@
         "description": "This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol Product covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MI3MAENF_002",
+        "title": "MISR Level 3 FIRSTLOOK Global Aerosol product in netCDF format covering a month V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339684-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339684-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MAENF_002",
+        "description": "This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol product in netCDF format covering a month",
+        "license": "proprietary"
+    },
     {
         "id": "MI3MAENF_002",
         "title": "MISR Level 3 FIRSTLOOK Global Aerosol product in netCDF format covering a month V002",
@@ -126853,6 +128348,32 @@
         "description": "MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product covering a month to be used starting with MISR Release V4.2.",
         "license": "proprietary"
     },
+    {
+        "id": "MI3MALF_002",
+        "title": "MISR Level 3 FIRSTLOOK Component Global Albedo product covering a month V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339252-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339252-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MI3MALF_002",
+        "description": "MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product covering a month to be used starting with MISR Release V4.2.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI3MALNF_002",
+        "title": "MISR Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a month V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339491-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339491-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MALNF_002",
+        "description": "MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product in netCDF format covering a month.",
+        "license": "proprietary"
+    },
     {
         "id": "MI3MALNF_002",
         "title": "MISR Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a month V002",
@@ -126879,6 +128400,32 @@
         "description": "This file contains the public MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MI3MCDF_002",
+        "title": "MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a month V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339370-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339370-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MI3MCDF_002",
+        "description": "This file contains the public MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a month",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI3MCDNF_002",
+        "title": "MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a month V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339578-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339578-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MCDNF_002",
+        "description": "This file contains the MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a month",
+        "license": "proprietary"
+    },
     {
         "id": "MI3MCDNF_002",
         "title": "MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a month V002",
@@ -126892,6 +128439,19 @@
         "description": "This file contains the MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MI3MCLDN_001",
+        "title": "MISR Non-orderable MI3MCLDN",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801702-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801702-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MCLDN_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MI3MCLDN_002",
         "title": "MISR Level 3 Global Cloud public Product in netCDF format covering a month V002",
@@ -126905,6 +128465,19 @@
         "description": "This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MI3MCLDN_002",
+        "title": "MISR Level 3 Global Cloud public Product in netCDF format covering a month V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768742-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873768742-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MCLDN_002",
+        "description": "This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a month",
+        "license": "proprietary"
+    },
     {
         "id": "MI3MCMVN_002",
         "title": "MISR Level 3 Cloud Motion Vector monthly Product in netCDF format V002",
@@ -126931,6 +128504,19 @@
         "description": "This file contains the MISR Level 3 FIRSTLOOK Component Global Land Product covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MI3MLSNF_002",
+        "title": "MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a month V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-08-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339835-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339835-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3MLSNF_002",
+        "description": "MI3MLSNF_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Land product in netCDF format covering a month version 2 data product. It contains a monthly statistical summary of directional hemispherical reflectance (DHR), photosynthetically active spectral region (DHR-PAR), DHR for near-infrared band (DHR-NIR), fractional absorbed photosynthetically active radiation (FPAR), DHR-based normalized difference vegetation index (NDVI) and land surface bidirectional reflectance factor (BRF) model parameters. It is classified into six vegetated and one non-vegetated types. This data product is a global summary of the Level 2 land/surface parameters of interest averaged over a month and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product is ongoing. This collection contains Leaf Area Index (LAI).  FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MI3MLSNF_2",
         "title": "MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a month V002",
@@ -126970,6 +128556,19 @@
         "description": "This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MI3MRDF_002",
+        "title": "MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a month V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339112-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854339112-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MI3MRDF_002",
+        "description": "This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a month",
+        "license": "proprietary"
+    },
     {
         "id": "MI3MRDR_002",
         "title": "MISR Level 3 Component Global Radiance Regional public Product covering a month V002",
@@ -126983,6 +128582,32 @@
         "description": "This file contains the MISR Level 3 Component Global Radiance Regional public Product covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MI3QCLDN_001",
+        "title": "MISR Non-orderable MI3QCLDN",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805942-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805942-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3QCLDN_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI3QCLDN_002",
+        "title": "MISR Level 3 Global Cloud public Product in netCDF format covering a quarter V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769069-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769069-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3QCLDN_002",
+        "description": "This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a quarter (seasonal)",
+        "license": "proprietary"
+    },
     {
         "id": "MI3QCLDN_002",
         "title": "MISR Level 3 Global Cloud public Product in netCDF format covering a quarter V002",
@@ -127009,6 +128634,32 @@
         "description": "This file contains the MISR Level 3 Cloud Motion Vector quarterly Product in netCDF format",
         "license": "proprietary"
     },
+    {
+        "id": "MI3YCLDN_001",
+        "title": "MISR Non-orderable MI3YCLDN",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927808260-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927808260-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3YCLDN_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MI3YCLDN_002",
+        "title": "MISR Level 3 Global Cloud public Product in netCDF format covering a year V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769466-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769466-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MI3YCLDN_002",
+        "description": "This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a year",
+        "license": "proprietary"
+    },
     {
         "id": "MI3YCLDN_002",
         "title": "MISR Level 3 Global Cloud public Product in netCDF format covering a year V002",
@@ -127074,6 +128725,19 @@
         "description": "MIANCARP_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Ancillary Radiometric Product version 2. It is composed of 4 files covering instrument characterization data, pre-flight calibration data, in-flight calibration data, and configuration parameters. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
         "license": "proprietary"
     },
+    {
+        "id": "MIANRCCH_003",
+        "title": "MISR Non-orderable MIANRCCH",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927795536-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927795536-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIANRCCH_003",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MIANTASC_002",
         "title": "MISR TASC dataset V002",
@@ -127087,6 +128751,19 @@
         "description": "This is the Terrestrial Atmosphere and Surface Climatology used in Level 2 Processing. It is produced by the MISR SCF and shipped to the DAAC for generating MISR Level 2 products.",
         "license": "proprietary"
     },
+    {
+        "id": "MIB1LM_002",
+        "title": "MISR Level 1B1 Local Mode Radiance Data V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334270-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334270-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MIB1LM_002",
+        "description": "This is the Local Mode Level 1B1 Product containing the DNs radiometrically scaled to radiances with no geometric resampling",
+        "license": "proprietary"
+    },
     {
         "id": "MIB1LM_002",
         "title": "MISR Level 1B1 Local Mode Radiance Data V002",
@@ -127100,6 +128777,19 @@
         "description": "This is the Local Mode Level 1B1 Product containing the DNs radiometrically scaled to radiances with no geometric resampling",
         "license": "proprietary"
     },
+    {
+        "id": "MIB2GEOP_002",
+        "title": "MISR Geometric Parameters V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3257326645-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3257326645-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MIB2GEOP_002",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Geometric Parameters V002 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid",
+        "license": "proprietary"
+    },
     {
         "id": "MIB2GEOP_002",
         "title": "MISR Geometric Parameters V002",
@@ -127116,10 +128806,23 @@
     {
         "id": "MIB2GEOP_003",
         "title": "MISR Geometric Parameters V003",
-        "catalog": "LARC STAC Catalog",
+        "catalog": "LARC_CLOUD STAC Catalog",
         "state_date": "2022-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334537-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854334537-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MIB2GEOP_003",
+        "description": "MIB2GEOP_003 is the Multi-angle Imaging SpectroRadiometer (MISR) Geometric Parameters Version 3 product. It contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid. Data collection for this product is ongoing. The distribution format of this product is NetCDF-4 which is a migration from the previous version's format of HDF-EOS2.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIB2GEOP_003",
+        "title": "MISR Geometric Parameters V003",
+        "catalog": "LARC STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2794387069-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2794387069-LARC.html",
         "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/MIB2GEOP_003",
@@ -127152,6 +128855,32 @@
         "description": "MIL1A_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A CCD Science data, all cameras version 2. It is the Reformatted Annotated Level 1A product for the CCD science data. The data numbers (DN) have been commuted from 12-bit numbers to 16-bit byte aligned half-words. The MISR CCD Science Instrument Data acquired from all nine of the MISR cameras for each of the four bands represent the raw MISR input data staged for MISR Science Instrument Data processing. There are nine file granules of this type, one corresponding to each of the nine MISR cameras. Each file granule contains four entire swaths of data, one swath for each of the four MISR bands associated with each MISR camera. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL2ADF_001",
+        "title": "MISR Non-orderable MIL2ADF",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927788242-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927788242-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIL2ADF_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2AD_001",
+        "title": "MISR Level 2 Aerosol diagnostic parameters V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2937935485-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2937935485-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2AD_001",
+        "description": "This is the Level 2 Aerosol Product containing diagnostic parameters relating to the aerosol retrieval processing.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL2ASAE_002",
         "title": "MISR Level 2 Aerosol parameters V002",
@@ -127161,10 +128890,23 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C43677706-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C43677706-LARC.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASAE_002",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASAE_002",
         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 Aerosol parameters V002 contains Aerosol optical depth and particle type, with associated atmospheric data.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL2ASAE_003",
+        "title": "MISR Level 2 Aerosol parameters V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336973-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336973-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2ASAE_003",
+        "description": "This is the Level 2 Aerosol Product. It contains Aerosol optical depth and particle type, with associated atmospheric data.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL2ASAE_3",
         "title": "MISR Level 2 Aerosol parameters V003",
@@ -127174,10 +128916,23 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1542385141-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1542385141-LARC.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASAE_3",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASAE_3",
         "description": "MIL2ASAE_3 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol parameters Version 3 product. It contains information on retrieved aerosol column amount, aerosol particle properties, and ancillary information based on Level 1B2 geolocated radiances observed by MISR. Data collection for this product is ongoing.     As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL2ASAF_002",
+        "title": "MISR Level 2 FIRSTLOOK Aerosol parameters V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769608-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769608-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2ASAF_002",
+        "description": "This is the Level 2 FIRSTLOOK Aerosol Product. It contains Aerosol optical depth and particle type, with associated atmospheric data, produced using ancillary inputs from the previous time period.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL2ASAF_002",
         "title": "MISR Level 2 FIRSTLOOK Aerosol parameters V002",
@@ -127187,7 +128942,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1542382556-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1542382556-LARC.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASAF_002",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASAF_002",
         "description": "This is the Level 2 FIRSTLOOK Aerosol Product. It contains Aerosol optical depth and particle type, with associated atmospheric data produced using ancillary inputs from the previous time period. MIL2ASAF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 FIRSTLOOK Aerosol parameters version 2. It contains Aerosol optical depth and particle type, with associated atmospheric data produced using ancillary inputs from the previous time period. Data collection for this product is ongoing. Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol data products contain various information on the Earth's atmosphere. The aerosol data include tropospheric aerosol optical depth on 17. 6-km centers archived with a compositional model identifier and retrieval residuals, ancillary data including relative humidity, ozone optical depth, stratospheric aerosol optical depth, and retrieval flags. MISR multi-angle imagery will be used to monitor global and regional trends radiatively significant to optical properties (optical depth, single scattering albedo, and size distribution) and amounts (mass loading) of natural and anthropogenic aerosols, including those arising from industrial and volcanic emissions, slash-and-burn agriculture, and desertification. Coupled with MISR's determinations of top-of-atmosphere and surface albedos, these data will measure the global aerosol forcing of the shortwave planetary radiation budget.  The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
         "license": "proprietary"
     },
@@ -127200,8 +128955,34 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1542382559-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1542382559-LARC.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMiB0ZXJyYWluIGRhdGEgdjAwNFwiLFwiTEFSQ1wiLFwiTUkxQjJUXCIsXCI0XCIsMjc5NDM3MzgwNiw3XSJ9/MIL2ASLF_002",
-        "description": "This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties, albedo(spectral and PAR integrated), FPAR, radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. MIL2ASLF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 FIRSTLOOK Surface parameters version 2. It contains directional reflectance properties, albedo (spectral and photosynthetically active radiation (PAR) integrated), a fraction of photosynthetically active radiation absorbed by vegetation (FPAR), radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. Data collection for this product is ongoing. This collection contains the Leaf Area Index (LAI).\\r\\n\\r\\nMulti-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol data products contain various information on the Earth's atmosphere. The aerosol data include tropospheric aerosol optical depth on 17. 6-km centers archived with a compositional model identifier and retrieval residuals, ancillary data including relative humidity, ozone optical depth, stratospheric aerosol optical depth, and retrieval flags. MISR multi-angle imagery will be used to monitor global and regional trends radiatively significant to optical properties (optical depth, single scattering albedo, and size distribution) and amounts (mass loading) of natural and anthropogenic aerosols, including those arising from industrial and volcanic emissions, slash-and-burn agriculture, and desertification. Coupled with MISR's determinations of top-of-atmosphere and surface albedos, these data will measure the global aerosol forcing of the shortwave planetary radiation budget. \\r\\n\\r\\nThe MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2ASLF_002",
+        "description": "This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties, albedo(spectral and PAR integrated), FPAR, radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. MIL2ASLF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 FIRSTLOOK Surface parameters version 2. It contains directional reflectance properties, albedo (spectral and photosynthetically active radiation (PAR) integrated), a fraction of photosynthetically active radiation absorbed by vegetation (FPAR), radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. Data collection for this product is ongoing. This collection contains the Leaf Area Index (LAI). Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol data products contain information on the Earth's atmosphere. The aerosol data include tropospheric aerosol optical depth on 17. 6-km centers archived with a compositional model identifier and retrieval residuals, ancillary data including relative humidity, ozone optical depth, stratospheric aerosol optical depth, and retrieval flags. MISR multi-angle imagery will be used to monitor global and regional trends radiatively significant to optical properties (optical depth, single scattering albedo, and size distribution) and amounts (mass loading) of natural and anthropogenic aerosols, including those arising from industrial and volcanic emissions, slash-and-burn agriculture, and desertification. Coupled with MISR's determinations of top-of-atmosphere and surface albedos, these data will measure the global aerosol forcing of the shortwave planetary radiation budget. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, all nine cameras successfully imaged each piece of Earth's surface below in 4 wavelengths (blue, green, red, and near-infrared). MISR aims to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2ASLF_002",
+        "title": "MISR Level 2 FIRSTLOOK Surface parameters V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335482-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335482-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2ASLF_002",
+        "description": "This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties,albedo(spectral & PAR integrated),FPAR,radiation parameters & terrain-referenced geometric parameters, produced using ancillary input from the previous time period.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2ASLS_003",
+        "title": "MISR Level 2 Surface parameters V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337125-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854337125-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2ASLS_003",
+        "description": "This Level 2 Land Surface product contains directional reflectance properties,albedo(spectral & PAR integrated),FPAR, radiation parameters & terrain-referenced geometric parameters.",
         "license": "proprietary"
     },
     {
@@ -127213,7 +128994,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C43677707-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C43677707-LARC.html",
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         "description": "MIL2ASLS_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Land Surface parameters version 2 data product. It contains a variety of information on the Earth's surface; such ashemispherical directional reflectance factor (HDRF), bihemispherical reflectance (BHR) (i.e., albedo), bidirectional reflectance factor (BRF), directional hemispherical reflectance (DHR), BRF model parameters, Fractional absorbed Photosysenthetically Active Radiation (FPAR), and terrain-referenced view and illumination angles. A surface retrieval is conducted on regions for which valid land aerosol retrieval exists. The retrieval is performed using the corrected equivalent reflectances, retrieved aerosol parameters, and auxiliary information from the Simulated MISR Ancillary Radiative Transfer (SMART) dataset. The spectral and Photosynthetically Active spectral Region (PAR)-integrated BHR and DHR are retrieved, along with the spectral land HDRF and BRF and BRF model parameters, for all valid land and inland water subregions. Subregion surface classification and leaf area index (LAI) and regional FPAR are also determined. Subregion variability is also calculated for land regions. Data collection for this product was completed in June 2017.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
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         "description": "MIL2ASLS_3 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Land Surface parameters version 3 data product. It contains a variety of information on the Earth's surface; such ashemispherical directional reflectance factor (HDRF), bihemispherical reflectance (BHR) (i.e., albedo), bidirectional reflectance factor (BRF), directional hemispherical reflectance (DHR), BRF model parameters, Fractional absorbed Photosysenthetically Active Radiation (FPAR), and terrain-referenced view and illumination angles. A surface retrieval is conducted on regions for which valid land aerosol retrieval exists. The retrieval is performed using the corrected equivalent reflectances, retrieved aerosol parameters, and auxiliary information from the Simulated MISR Ancillary Radiative Transfer (SMART) dataset. The spectral and Photosynthetically Active spectral Region (PAR)-integrated BHR and DHR are retrieved, along with the spectral land HDRF and BRF and BRF model parameters, for all valid land and inland water subregions. Subregion surface classification and leaf area index (LAI) and regional FPAR are also determined. Subregion variability is also calculated for land regions. Data collection for this product is ongoing. This collection contains Leaf Area Index (LAI).    The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Albedo parameters V001 contains local, restrictive, and expansive albedo, with associated data, produced using ancillary inputs from the previous time period.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL2TCAL_002",
+        "title": "MISR Level 2 TOA/Cloud Albedo parameters V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-24",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336695-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336695-LARC_CLOUD.html",
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+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Albedo parameters V002 contains local, restrictive, and expansive albedo, with associated data.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL2TCAL_002",
         "title": "MISR Level 2 TOA/Cloud Albedo parameters V002",
@@ -127252,7 +129046,7 @@
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Albedo parameters V002 contains local, restrictive, and expansive albedo, with associated data.",
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@@ -127265,7 +129059,7 @@
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V001 contains the Angular Signature Cloud Mask (ASCM), Cloud Classifiers, and Support Vector Machine classifiers, produced using ancillary inputs and Terrestrial Atmosphere and Surface Climatology (TASC) from the previous time period.",
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+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V002 contains the Angular Signature Cloud Mask (ASCM), Cloud Classifiers, and Support Vector Machine classifiers, produced using ancillary inputs and Terrestrial Atmosphere and Surface Climatology (TASC) from the previous time period.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2TCCF_002",
+        "title": "MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2007-06-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335355-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335355-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCCF_002",
         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V002 contains the Angular Signature Cloud Mask (ASCM), Cloud Classifiers, and Support Vector Machine classifiers, produced using ancillary inputs and Terrestrial Atmosphere and Surface Climatology (TASC) from the previous time period.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL2TCCH_001",
+        "title": "MISR Non-orderable MIL2TCCH",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927791795-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927791795-LARC_CLOUD.html",
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+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2TCCL_003",
+        "title": "MISR Level 2 TOA/Cloud Classifier parameters V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-24",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336390-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336390-LARC_CLOUD.html",
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+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Classifier parameters V003 contains the Angular Signature Cloud Mask (ASCM), Regional Cloud Classifiers, Cloud Shadow Mask, and Topographic Shadow Mask, with associated data.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL2TCCL_003",
         "title": "MISR Level 2 TOA/Cloud Classifier parameters V003",
@@ -127295,6 +129128,58 @@
         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Classifier parameters V003 contains the Angular Signature Cloud Mask (ASCM), Regional Cloud Classifiers, Cloud Shadow Mask, and Topographic Shadow Mask, with associated data.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL2TCCL_004",
+        "title": "MISR Level 2 TOA/Cloud Classifier parameters",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-24",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336647-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336647-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCCL_004",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Classifier parameters V004 contains the Angular Signature Cloud Mask (ASCM), Regional Cloud Classifiers, Cloud Shadow Mask, and Topographic Shadow Mask, with associated data.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2TCHF_001",
+        "title": "MISR Non-orderable MIL2TCHF",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927787865-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927787865-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL2TCHF_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2TCSD_001",
+        "title": "MISR Level 2 TOA/Cloud Height and Motion diagnostic parameters V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769781-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769781-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCSD_001",
+        "description": "This is the Level 2 TOA/Cloud Product containing the diagnostic parameters relating to the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2TCSD_002",
+        "title": "MISR Level 2 TOA/Cloud Height and Motion diagnostic parameters V002  Non-orderable",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425262-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425262-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCSD_002",
+        "description": "This is the Level 2 TOA/Cloud Product containing the diagnostic parameters relating to the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL2TCSF_001",
         "title": "MISR Level 2 FIRSTLOOK TOA/Cloud Stereo parameters V001",
@@ -127304,7 +129189,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C135857534-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C135857534-LARC.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIiwidW1tIjoiW1wibWlzciBsZXZlbCAxYjIgdGVycmFpbiBkYXRhIHYwMDRcIixcIkxBUkNcIixcIk1JMUIyVFwiLFwiNFwiLDI3OTQzNzM4MDYsMTBdIn0%3D/MIL2TCSF_001",
         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Stereo parameters V001 contains the stereoscopically-derived winds, heights and cloud mask along with associated data, produced using ancillary inputs of Terrestrial Atmosphere and Surface Climatology (TASC) from the previous time period.",
         "license": "proprietary"
     },
@@ -127321,6 +129206,32 @@
         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Height and Motion parameters V001 contains the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL2TCSP_001",
+        "title": "MISR Level 2 TOA/Cloud Height and Motion parameters V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-29",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335956-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335956-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCSP_001",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Height and Motion parameters V001 contains the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2TCSP_002",
+        "title": "MISR Level 2 TOA/Cloud Height and Motion parameters V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-29",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336257-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854336257-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAxYjEgbG9jYWwgbW9kZSByYWRpYW5jZSBkYXRhIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JQjFMTVwiLFwiMlwiLDI4NTQzMzQyNzAsN10iLCJ1bW0iOiJbXCJtaXNyIGxldmVsIDFiMSBsb2NhbCBtb2RlIHJhZGlhbmNlIGRhdGEgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlCMUxNXCIsXCIyXCIsMjg1NDMzNDI3MCw3XSJ9/MIL2TCSP_002",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Height and Motion parameters V002 contains the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL2TCSP_002",
         "title": "MISR Level 2 TOA/Cloud Height and Motion parameters V002",
@@ -127337,16 +129248,42 @@
     {
         "id": "MIL2TCST_002",
         "title": "MISR Level 2 TOA/Cloud Stereo parameters V002",
-        "catalog": "LARC STAC Catalog",
+        "catalog": "LARC_CLOUD STAC Catalog",
         "state_date": "2000-02-24",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335636-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335636-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL2TCST_002",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Stereo parameters V002 contains the Stereoscopically Derived Cloud Mask (SDCM), cloud winds, Reflecting Level Reference Altitude (RLRA), with associated data.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL2TCST_002",
+        "title": "MISR Level 2 TOA/Cloud Stereo parameters V002",
+        "catalog": "LARC STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C43677714-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C43677714-LARC.html",
         "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBhbGJlZG8gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDXCIsXCJNSUwyVENBTFwiLFwiMlwiLDQzNjc3NzA5LDI5XSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgYWxiZWRvIHBhcmFtZXRlcnMgdjAwMlwiLFwiTEFSQ1wiLFwiTUlMMlRDQUxcIixcIjJcIiw0MzY3NzcwOSwyOV0ifQ%3D%3D/MIL2TCST_002",
         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Stereo parameters V002 contains the Stereoscopically Derived Cloud Mask (SDCM), cloud winds, Reflecting Level Reference Altitude (RLRA), with associated data.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3DAEN_004",
+        "title": "MISR Level 3 Component Global Aerosol product in netCDF format covering a day V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769854-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873769854-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3DAEN_004",
+        "description": "This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a day",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3DAEN_004",
         "title": "MISR Level 3 Component Global Aerosol product in netCDF format covering a day V004",
@@ -127373,6 +129310,32 @@
         "description": "MIL3DAE_4 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Aerosol Product covering a day version 4. It contains a statistical summary of column aerosol 555 nanometer optical depth, and a monthly aerosol compositional type frequency histogram. This data product is a global summary of the Level 2 aerosol parameters of interest averaged over a day and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product was completed in June of 2017.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3DALN_005",
+        "title": "MISR Non-orderable MIL3DALN",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798737-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798737-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DALN_005",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3DALN_006",
+        "title": "MISR Level 3 Component Global Albedo product in netCDF format covering a day V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873770629-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873770629-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3DALN_006",
+        "description": "MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a day.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3DALN_006",
         "title": "MISR Level 3 Component Global Albedo product in netCDF format covering a day V006",
@@ -127386,6 +129349,32 @@
         "description": "MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a day.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3DAL_005",
+        "title": "MISR Non-orderable MIL3DAL",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927797763-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927797763-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DAL_005",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3DAL_006",
+        "title": "MISR Level 3 Component Global Albedo product covering a day V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873770054-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873770054-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3DAL_006",
+        "description": "MISR Level 3 Component Global Albedo publicly available product covering a day to be used starting with MISR Release V3.2.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3DAL_006",
         "title": "MISR Level 3 Component Global Albedo product covering a day V006",
@@ -127399,6 +129388,19 @@
         "description": "MISR Level 3 Component Global Albedo publicly available product covering a day to be used starting with MISR Release V3.2.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3DCFA_001",
+        "title": "MISR Level 3 Cloud Fraction by Altitude Product covering a day V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873770864-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873770864-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3DCFA_001",
+        "description": "This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a day",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3DCFA_001",
         "title": "MISR Level 3 Cloud Fraction by Altitude Product covering a day V001",
@@ -127412,6 +129414,32 @@
         "description": "This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a day",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3DCLD_001",
+        "title": "MISR Non-orderable MIL3DCLD",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798198-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927798198-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DCLD_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3DCLD_002",
+        "title": "MISR Level 3 Component Global Cloud Product covering a day V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771124-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771124-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3DCLD_002",
+        "description": "This file contains the public MISR Level 3 Component Global Cloud Product covering a day",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3DCLD_002",
         "title": "MISR Level 3 Component Global Cloud Product covering a day V002",
@@ -127425,6 +129453,19 @@
         "description": "This file contains the public MISR Level 3 Component Global Cloud Product covering a day",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3DCOD_001",
+        "title": "MISR Level 3 Cloud Top Height-Optical Depth Product covering a day V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771242-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771242-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3DCOD_001",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 Cloud Top Height-Optical Depth Product covering a day.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3DCOD_001",
         "title": "MISR Level 3 Cloud Top Height-Optical Depth Product covering a day V001",
@@ -127451,6 +129492,19 @@
         "description": "This file contains the MISR Level 3 Component Global Land product in netCDF format covering a day",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3DLSN_004",
+        "title": "MISR Level 3 Component Global Land product in netCDF format covering a day V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771301-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771301-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3DLSN_004",
+        "description": "This file contains the MISR Level 3 Component Global Land product in netCDF format covering a day",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3DLS_004",
         "title": "MISR Level 3 Component Global Land Product covering a day V004",
@@ -127464,6 +129518,19 @@
         "description": "This file contains the MISR Level 3 Component Global Land Product covering a day",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3DRD_003",
+        "title": "MISR Non-orderable MIL3DRD",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927796459-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927796459-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3DRD_003",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3DRD_004",
         "title": "MISR Level 3 Component Global Radiance Product covering a day V004",
@@ -127477,6 +129544,19 @@
         "description": "This file contains the MISR Level 3 Component Global Radiance Product covering a day",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3DRD_004",
+        "title": "MISR Level 3 Component Global Radiance Product covering a day V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771503-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771503-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3DRD_004",
+        "description": "This file contains the MISR Level 3 Component Global Radiance Product covering a day",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3MAEN_004",
         "title": "MISR Level 3 Component Global Aerosol product in netCDF format covering a month V004",
@@ -127490,6 +129570,19 @@
         "description": "This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3MAEN_004",
+        "title": "MISR Level 3 Component Global Aerosol product in netCDF format covering a month V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771604-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771604-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3MAEN_004",
+        "description": "This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a month",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3MAE_4",
         "title": "MISR Level 3 Component Global Aerosol Product covering a month V004",
@@ -127503,6 +129596,32 @@
         "description": "MIL3MAE_4 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Aerosol Product covering a month version 4. It contains a statistical summary of column aerosol 555 nanometer optical depth, and a monthly aerosol compositional type frequency histogram. This data product is a global summary of relevant Level 2 aerosol parameters, averaged over a month and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Collection for this product was complete in May of 2017.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3MALN_005",
+        "title": "MISR Non-orderable MIL3MALN",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801574-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801574-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MALN_005",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3MALN_006",
+        "title": "MISR Level 3 Component Global Albedo product in netCDF format covering a month V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772253-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772253-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3MALN_006",
+        "description": "MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a month.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3MALN_006",
         "title": "MISR Level 3 Component Global Albedo product in netCDF format covering a month V006",
@@ -127516,6 +129635,19 @@
         "description": "MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a month.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3MAL_005",
+        "title": "MISR Non-orderable MIL3MAL",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800811-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800811-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MAL_005",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3MAL_006",
         "title": "MISR Level 3 Component Global Albedo product covering a month V006",
@@ -127529,6 +129661,32 @@
         "description": "MISR Level 3 Component Global Albedo publicly available product covering a month to be used starting with MISR Release V3.2.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3MAL_006",
+        "title": "MISR Level 3 Component Global Albedo product covering a month V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771775-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873771775-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3MAL_006",
+        "description": "MISR Level 3 Component Global Albedo publicly available product covering a month to be used starting with MISR Release V3.2.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3MCFA_001",
+        "title": "MISR Level 3 Cloud Fraction by Altitude Product covering a month V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772357-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772357-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3MCFA_001",
+        "description": "MIL3MCFA_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Fraction by Altitude Product covering a month version 1. It provides the frequency of cloud occurrence partitioned into different cloud top height bins at a global and monthly scale with a latitude/longitude resolution of 0.5 degree by 0.5 degree and a vertical resolution of 500m. For each height bin, the frequency of cloud occurrence of a region over a time period is represented by the temporal mean of the spatial coverage of cloud tops. The spatial coverage of clouds is referred to as cloud fraction, which is defined as the ratio of the number of cloudy pixels to the total number of cloudy and cloud-free pixels observed by the instrument. Clouds are assigned to height bins based on their top height as retrieved by the MISR stereoscopic technique. Data collection for this product is complete.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3MCFA_1",
         "title": "MISR Level 3 Cloud Fraction by Altitude Product covering a month V001",
@@ -127542,6 +129700,32 @@
         "description": "MIL3MCFA_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Fraction by Altitude Product covering a month version 1. It provides the frequency of cloud occurrence partitioned into different cloud top height bins at a global and monthly scale with a latitude/longitude resolution of 0.5 degree by 0.5 degree and a vertical resolution of 500m. For each height bin, the frequency of cloud occurrence of a region over a time period is represented by the temporal mean of the spatial coverage of cloud tops. The spatial coverage of clouds is referred to as cloud fraction, which is defined as the ratio of the number of cloudy pixels to the total number of cloudy and cloud-free pixels observed by the instrument. Clouds are assigned to height bins based on their top height as retrieved by the MISR stereoscopic technique. Data collection for this product is complete.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3MCLD_001",
+        "title": "MISR Non-orderable MIL3MCLD",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801317-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927801317-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MCLD_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3MCLD_002",
+        "title": "MISR Level 3 Component Global Cloud Product covering a month V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772597-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772597-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3MCLD_002",
+        "description": "This file contains the public MISR Level 3 Component Global Cloud Product covering a month",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3MCLD_002",
         "title": "MISR Level 3 Component Global Cloud Product covering a month V002",
@@ -127568,6 +129752,32 @@
         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 Cloud Top Height-Optical Depth Product covering a month.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3MCOD_001",
+        "title": "MISR Level 3 Cloud Top Height-Optical Depth Product covering a month V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772844-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772844-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3MCOD_001",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 Cloud Top Height-Optical Depth Product covering a month.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3MJTA_002",
+        "title": "MISR Level 3 Global Joint Aerosol monthly product V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772960-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873772960-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGZpcnN0bG9vayBnbG9iYWwgYWVyb3NvbCBwcm9kdWN0IGluIG5ldGNkZiBmb3JtYXQgY292ZXJpbmcgYSBkYXkgdjAwMlwiLFwiTEFSQ19DTE9VRFwiLFwiTUkzREFFTkZcIixcIjJcIiwyODU0MzM4NzIwLDNdIn0%3D/MIL3MJTA_002",
+        "description": "MIL3MJTA_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Joint Aerosol monthly product version 2 data product. It contains global statistical summaries of MISR Level 2 aerosol optical depth, on a 5 degree geographic grid. Within each grid cell, optical depth is summarized by a set of representative vectors, each representing a cluster of similar Level 2 aerosol optical depth retrievals. Data is summarized monthly. Data collection for this product is ongoing.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument fly\u2019s overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3MJTA_2",
         "title": "MISR Level 3 Global Joint Aerosol monthly product V002",
@@ -127581,6 +129791,19 @@
         "description": "MIL3MJTA_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Joint Aerosol monthly product version 2 data product. It contains global statistical summaries of MISR Level 2 aerosol optical depth, on a 5 degree geographic grid. Within each grid cell, optical depth is summarized by a set of representative vectors, each representing a cluster of similar Level 2 aerosol optical depth retrievals. Data is summarized monthly. Data collection for this product is ongoing.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument fly\u2019s overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3MLSN_004",
+        "title": "MISR Level 3 Component Global Land product in netCDF format covering a month V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773072-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773072-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3MLSN_004",
+        "description": "This file contains the MISR Level 3 Component Global Land product in netCDF format covering a month",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3MLSN_004",
         "title": "MISR Level 3 Component Global Land product in netCDF format covering a month V004",
@@ -127607,6 +129830,32 @@
         "description": "This file contains the MISR Level 3 Component Global Land Product covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3MRD_004",
+        "title": "MISR Non-orderable MIL3MRD",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800358-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927800358-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3MRD_004",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3MRD_005",
+        "title": "MISR Level 3 Component Global Radiance Product covering a month V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773424-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773424-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3MRD_005",
+        "description": "This file contains the MISR Level 3 Component Global Radiance Product covering a month",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3MRD_005",
         "title": "MISR Level 3 Component Global Radiance Product covering a month V005",
@@ -127620,6 +129869,19 @@
         "description": "This file contains the MISR Level 3 Component Global Radiance Product covering a month",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3QAEN_004",
+        "title": "MISR Level 3 Component Global Aerosol seasonal product in netCDF format V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773600-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773600-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3QAEN_004",
+        "description": "This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a quarter (seasonal)",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3QAEN_004",
         "title": "MISR Level 3 Component Global Aerosol seasonal product in netCDF format V004",
@@ -127646,6 +129908,32 @@
         "description": "This file contains the MISR Level 3 Component Global Aerosol Product covering a quarter (seasonal)",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3QALN_005",
+        "title": "MISR Non-orderable MIL3QALN",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805262-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927805262-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QALN_005",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3QALN_006",
+        "title": "MISR Level 3 Component Global Albedo seasonal product in netCDF format V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773976-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773976-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3QALN_006",
+        "description": "MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a quarter (seasonal).",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3QALN_006",
         "title": "MISR Level 3 Component Global Albedo seasonal product in netCDF format V006",
@@ -127659,6 +129947,32 @@
         "description": "MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a quarter (seasonal).",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3QAL_005",
+        "title": "MISR Non-orderable MIL3QAL",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927803980-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927803980-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QAL_005",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3QAL_006",
+        "title": "MISR Level 3 Component Global Albedo product covering a quarter (seasonal) V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773796-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873773796-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3QAL_006",
+        "description": "MISR Level 3 Component Global Albedo publicly available product covering a quarter (seasonal) to be used starting with MISR Release V3.2.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3QAL_006",
         "title": "MISR Level 3 Component Global Albedo product covering a quarter (seasonal) V006",
@@ -127685,6 +129999,32 @@
         "description": "This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a quarter (seasonal)",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3QCFA_001",
+        "title": "MISR Level 3 Cloud Fraction by Altitude Product covering a quarter (seasonal) V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774167-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774167-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3QCFA_001",
+        "description": "This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a quarter (seasonal)",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3QCLD_001",
+        "title": "MISR Non-orderable MIL3QCLD",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927804452-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927804452-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QCLD_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3QCLD_002",
         "title": "MISR Level 3 Component Global Cloud Product covering a quarter (seasonal) V002",
@@ -127698,6 +130038,32 @@
         "description": "This file contains the public MISR Level 3 Component Global Cloud Product covering a quarter (seasonal)",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3QCLD_002",
+        "title": "MISR Level 3 Component Global Cloud Product covering a quarter (seasonal) V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774382-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774382-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3QCLD_002",
+        "description": "This file contains the public MISR Level 3 Component Global Cloud Product covering a quarter (seasonal)",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3QCOD_001",
+        "title": "MISR Level 3 Cloud Top Height-Optical Depth Product covering a quarter (seasonal) V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-03-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774505-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774505-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3QCOD_001",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 CloudTopHeight-OpticalDepth Product covering a quarter (seasonal).",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3QCOD_001",
         "title": "MISR Level 3 Cloud Top Height-Optical Depth Product covering a quarter (seasonal) V001",
@@ -127724,6 +130090,19 @@
         "description": "This file contains the MISR Level 3 Component Global Land product in netCDF format covering a quarter (seasonal)",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3QLSN_004",
+        "title": "MISR Level 3 Component Global Land seasonal product in netCDF format V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774574-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774574-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3QLSN_004",
+        "description": "This file contains the MISR Level 3 Component Global Land product in netCDF format covering a quarter (seasonal)",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3QLS_004",
         "title": "MISR Level 3 Component Global Land Product covering a quarter (seasonal) V004",
@@ -127737,6 +130116,32 @@
         "description": "This file contains the MISR Level 3 Component Global Land Product covering a quarter (seasonal)",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3QRD_004",
+        "title": "MISR Non-orderable MIL3QRD",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927802171-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927802171-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3QRD_004",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3QRD_005",
+        "title": "MISR Level 3 Component Global Radiance Product covering a quarter (seasonal) V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774681-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774681-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3QRD_005",
+        "description": "This file contains the MISR Level 3 Component Global Radiance Product covering a quarter (seasonal)",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3QRD_005",
         "title": "MISR Level 3 Component Global Radiance Product covering a quarter (seasonal) V005",
@@ -127750,6 +130155,19 @@
         "description": "This file contains the MISR Level 3 Component Global Radiance Product covering a quarter (seasonal)",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3YAEN_004",
+        "title": "MISR Level 3 Component Global Aerosol product in netCDF format covering a year V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774819-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873774819-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3YAEN_004",
+        "description": "This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a year",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3YAEN_004",
         "title": "MISR Level 3 Component Global Aerosol product in netCDF format covering a year V004",
@@ -127776,6 +130194,19 @@
         "description": "This file contains the MISR Level 3 Component Global Aerosol Product covering a year",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3YALN_005",
+        "title": "MISR Non-orderable MIL3YALN",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807776-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807776-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YALN_005",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3YALN_006",
         "title": "MISR Level 3 Component Global Albedo product in netCDF format covering a year V006",
@@ -127789,6 +130220,45 @@
         "description": "MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a year.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3YALN_006",
+        "title": "MISR Level 3 Component Global Albedo product in netCDF format covering a year V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775262-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775262-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3YALN_006",
+        "description": "MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a year.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3YAL_005",
+        "title": "MISR Non-orderable MIL3YAL",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806976-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806976-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YAL_005",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3YAL_006",
+        "title": "MISR Level 3 Component Global Albedo product covering a year V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775162-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775162-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3YAL_006",
+        "description": "MISR Level 3 Component Global Albedo publicly available product covering a year to be used starting with MISR Release V3.2.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3YAL_006",
         "title": "MISR Level 3 Component Global Albedo product covering a year V006",
@@ -127815,6 +130285,45 @@
         "description": "This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a year",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3YCFA_001",
+        "title": "MISR Level 3 Cloud Fraction by Altitude Product covering a year V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775475-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775475-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3YCFA_001",
+        "description": "This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a year",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3YCLD_001",
+        "title": "MISR Non-orderable MIL3YCLD",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807520-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927807520-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YCLD_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIL3YCLD_002",
+        "title": "MISR Level 3 Component Global Cloud Product covering a year V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775633-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775633-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3YCLD_002",
+        "description": "This file contains the public MISR Level 3 Component Global Cloud Product covering a year",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3YCLD_002",
         "title": "MISR Level 3 Component Global Cloud Product covering a year V002",
@@ -127828,6 +130337,19 @@
         "description": "This file contains the public MISR Level 3 Component Global Cloud Product covering a year",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3YCOD_001",
+        "title": "MISR Level 3 Cloud Top Height-Optical Depth Product covering a year V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775779-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775779-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAyIHRvYS9jbG91ZCBoZWlnaHQgYW5kIG1vdGlvbiBwYXJhbWV0ZXJzIHYwMDJcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ1NQXCIsXCIyXCIsMjg1NDMzNjI1NywyXSIsInVtbSI6IltcIm1pc3IgbGV2ZWwgMiB0b2EvY2xvdWQgaGVpZ2h0IGFuZCBtb3Rpb24gcGFyYW1ldGVycyB2MDAyXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENTUFwiLFwiMlwiLDI4NTQzMzYyNTcsMl0ifQ%3D%3D/MIL3YCOD_001",
+        "description": "MIL3YCOD_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Top Height-Optical Depth Product covering a year version 1. MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3YCOD_1",
         "title": "MISR Level 3 Cloud Top Height-Optical Depth Product covering a year V001",
@@ -127854,6 +130376,19 @@
         "description": "This file contains the MISR Level 3 Component Global Land product in netCDF format covering a year",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3YLSN_004",
+        "title": "MISR Level 3 Component Global Land product in netCDF format covering a year V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775922-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873775922-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3YLSN_004",
+        "description": "This file contains the MISR Level 3 Component Global Land product in netCDF format covering a year",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3YLS_4",
         "title": "MISR Level 3 Component Global Land Product covering a year V004",
@@ -127867,6 +130402,19 @@
         "description": "MIL3YLS_4 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Land Product covering a year version 4. It contains a statistical summary of directional hemispherical reflectance (DHR), photosynthetically active spectral region (DHR-PAR), DHR for near-infrared band (DHR-NIR), fractional absorbed photosynthetically active radiation (FPAR), DHR-based normalized difference vegetation index (NDVI), and land surface bidirectional reflectance factor (BRF) model parameters, classified into six vegetated and one non-vegetated types. This data product is a global summary of relevant Level 2 land/surface parameters, averaged over a year and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product was completed in November of 2016. This collection contains Leaf Area Index (LAI).  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3YRD_004",
+        "title": "MISR Non-orderable MIL3YRD",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806561-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927806561-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIL3YRD_004",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MIL3YRD_005",
         "title": "MISR Level 3 Component Global Radiance Product covering a year V005",
@@ -127880,6 +130428,19 @@
         "description": "This file contains the MISR Level 3 Component Global Radiance Product covering a year",
         "license": "proprietary"
     },
+    {
+        "id": "MIL3YRD_005",
+        "title": "MISR Level 3 Component Global Radiance Product covering a year V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873776171-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2873776171-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIiwidW1tIjoiW1wibWlzciBsZXZlbCAzIGNvbXBvbmVudCBnbG9iYWwgYWxiZWRvIHByb2R1Y3QgaW4gbmV0Y2RmIGZvcm1hdCBjb3ZlcmluZyBhIHllYXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlMM1lBTE5cIixcIjZcIiwyODczNzc1MjYyLDFdIn0%3D/MIL3YRD_005",
+        "description": "This file contains the MISR Level 3 Component Global Radiance Product covering a year",
+        "license": "proprietary"
+    },
     {
         "id": "MIPOT_0",
         "title": "Mediterranean, Indian and Pacific Ocean Transect (MIPOT)",
@@ -127906,6 +130467,19 @@
         "description": "Measurements made by the MIRAI research vessel in the JAMSTEC fleet between 2000 and 2003.",
         "license": "proprietary"
     },
+    {
+        "id": "MIRCCHF_001",
+        "title": "MISR Non-orderable MIRCCHF",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927786745-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927786745-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MIRCCHF_001",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MIRCCMF_001",
         "title": "MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V001",
@@ -127923,7 +130497,7 @@
         "id": "MIRCCMF_002",
         "title": "MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V002",
         "catalog": "LARC STAC Catalog",
-        "state_date": "2000-02-24",
+        "state_date": "1999-12-18",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2788936281-LARC.umm_json",
@@ -127932,6 +130506,32 @@
         "description": "This is the FIRSTLOOK Radiometric Camera-by-camera Cloud Mask (RCCM) product.  It contains initial estimated classifications of pixels/regions as clear or cloudy.  It also has masks for the presence of glitter or dust.  The FIRSTLOOK RCCM product is superceded by the final RCCM product following seasonal calibration.",
         "license": "proprietary"
     },
+    {
+        "id": "MIRCCMF_002",
+        "title": "MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-24",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335241-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854335241-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBlZG9zIG5vbi1vcmRlcmFibGUgbWlzbDBhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTTDBBRlwiLFwiMVwiLDI4NjI4MDMwMTksMV0iLCJ1bW0iOiJbXCJtaXNyIGVkb3Mgbm9uLW9yZGVyYWJsZSBtaXNsMGFmXCIsXCJMQVJDX0NMT1VEXCIsXCJNSVNMMEFGXCIsXCIxXCIsMjg2MjgwMzAxOSwxXSJ9/MIRCCMF_002",
+        "description": "This is the FIRSTLOOK Radiometric Camera-by-camera Cloud Mask (RCCM) product.  It contains initial estimated classifications of pixels/regions as clear or cloudy.  It also has masks for the presence of glitter or dust.  The FIRSTLOOK RCCM product is superceded by the final RCCM product following seasonal calibration.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MIRCCM_004",
+        "title": "MISR radiometric camera-by-camera Cloud Mask V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-02-24",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2951415957-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2951415957-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/MIRCCM_004",
+        "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR radiometric camera-by-camera Cloud Mask V004 contains the Radiometric camera-by-camera Cloud Mask dataset. It is used to determine whether a scene is classified as clear or cloudy. A new parameter has been added to indicate dust over ocean. This version of the ESDT is used by MISR PGE 13.",
+        "license": "proprietary"
+    },
     {
         "id": "MIRCCM_004",
         "title": "MISR radiometric camera-by-camera Cloud Mask V004",
@@ -127968,9 +130568,139 @@
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C43677744-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C43677744-LARC.html",
         "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/MISBR_005",
+        "description": "This is the browse data associated with a particular granule. MISBR_005 is the Multi-angle Imaging SpectroRadiometer (MISR) Browse data version 5. It consists of Ellipsoid color images obtained by each camera resampled to 2. 2 km resolution. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISBR_005",
+        "title": "MISR Browse data V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-12-18",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2873776776-LARC_CLOUD.umm_json",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
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+        "title": "MISR EDOS Non-orderable MISCALCA",
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+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2864082227-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
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+        "id": "MISCALCF_001",
+        "title": "MISR EDOS Non-orderable MISCALCF",
+        "catalog": "LARC_CLOUD STAC Catalog",
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+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2864134296-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
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+        "title": "MISR EDOS Non-orderable MISCALDA",
+        "catalog": "LARC_CLOUD STAC Catalog",
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+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2864139120-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2864139120-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
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+    {
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+        "title": "MISR EDOS Non-orderable MISCALDF",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2864147588-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2864147588-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MISC_Apex_Floats_0",
         "title": "Miscellaneous Autonomous Profiling Explorer (APEX) floats measurements",
@@ -127984,6 +130714,214 @@
         "description": "Measurements taken in the North Atlantic ocean by miscellaneous APEX floats between 2004 and 2007.",
         "license": "proprietary"
     },
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+        "bbox": "-180, -90, 180, 90",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
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+        "title": "MISR EDOS Non-orderable MISL0AF",
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+        "end_date": "",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862803019-LARC_CLOUD.html",
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+        "license": "proprietary"
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
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+        "title": "MISR EDOS Non-orderable MISL0BF",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
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+        "title": "MISR EDOS Non-orderable MISL0CAL",
+        "catalog": "LARC_CLOUD STAC Catalog",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISL0CA_001",
+        "title": "MISR EDOS Non-orderable MISL0CA",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2862829312-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862829312-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISL0CF_001",
+        "title": "MISR EDOS Non-orderable MISL0CF",
+        "catalog": "LARC_CLOUD STAC Catalog",
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+        "end_date": "",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862834959-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISL0DA_001",
+        "title": "MISR EDOS Non-orderable MISL0DA",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2862841437-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862841437-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISL0DF_001",
+        "title": "MISR EDOS Non-orderable MISL0DF",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2864024234-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2864024234-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISL0ENG_001",
+        "title": "MISR EDOS Non-orderable MISL0ENG",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2864028083-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2864028083-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISL0MTR_001",
+        "title": "MISR EDOS Non-orderable MISL0MTR",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2864041371-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2864041371-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISL0SY1_001",
+        "title": "MISR EDOS Non-orderable MISL0SY1",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2862642711-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862642711-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISL0SY2_001",
+        "title": "MISR EDOS Non-orderable MISL0SY2",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2862678078-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862678078-LARC_CLOUD.html",
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+        "description": "MISR EDOS Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISQAF_001",
+        "title": "MISR Non-orderable MISQAF",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927790577-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927790577-LARC_CLOUD.html",
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+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
+    {
+        "id": "MISQA_003",
+        "title": "MISR Non-orderable MISQA",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927793748-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927793748-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pbDJ0Y2NoXCIsXCJMQVJDX0NMT1VEXCIsXCJNSUwyVENDSFwiLFwiMVwiLDI5Mjc3OTE3OTUsMV0iLCJ1bW0iOiJbXCJtaXNyIG5vbi1vcmRlcmFibGUgbWlsMnRjY2hcIixcIkxBUkNfQ0xPVURcIixcIk1JTDJUQ0NIXCIsXCIxXCIsMjkyNzc5MTc5NSwxXSJ9/MISQA_003",
+        "description": "MISR Non-orderable collection for ingest testing.",
+        "license": "proprietary"
+    },
     {
         "id": "MISR_885_1",
         "title": "SAFARI 2000 MISR Level 2 Data, Southern Africa, Dry Season 2000",
@@ -128019,7 +130957,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2515861985-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515861985-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of forest aboveground biomass (AGB; in Mg ha-1) at a resolution of 250 m for the southwestern United States over the time period 2000-2021. The AGB estimates were derived from the Jet Propulsion Laboratory Multiangle Imaging Spectro-Radiometer (MISR) Level 1B2 Terrain radiance data and a multi-angle approach that exploits the relationship between forest AGB and a suite of red band reflectance values modeled at viewing angles with respect to the direction of illumination. The year 2000 National Biomass and Carbon Dataset (NBCD 2000) AGB estimates were used to fit a model coefficient for the MISR-derived AGB estimates for the year 2000, with AGB estimates for all subsequent years dependent on both this coefficient and MISR red band bidirectional reflectance factors (BRFs). Quality assurance (QA) files are also provided that allow users to impose criteria of varying stringency. The bidirectional reflectance distribution function (BRDF) model-fitting root mean square error (RMSE) value was used as one of the criteria to determine if the AGB estimates were reasonable. This dataset is the first example of forest AGB estimation based on a multi-angle index applied using MISR data.",
         "license": "proprietary"
     },
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         "description": "The  Moderate Resolution Imaging Spectroradiometer (MODIS) Terra MOD09A1 Version 6.1 product provides an estimate of the surface spectral reflectance of Terra MODIS Bands 1 through 7 corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven 500 meter (m) reflectance bands are two quality layers and four observation bands. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used.   Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09).  Improvements/Changes from Previous Versions   * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). ",
         "license": "proprietary"
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         "description": "The MOD09CMG Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, resampled to 5600 meter (m) pixel resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. The MOD09CMG data product provides 25 layers including MODIS bands 1 through 7; Brightness Temperature data from thermal bands 20, 21, 31, and 32; along with Quality Assurance (QA) and observation bands. This product is based on a Climate Modeling Grid (CMG) for use in climate simulation models.   Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09).  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).",
         "license": "proprietary"
     },
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         "description": "The MOD09GA Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 500 meter (m) surface reflectance, observation, and quality bands are a set of ten 1 kilometer (km) observation bands and geolocation flags. The reflectance layers from the MOD09GA are used as the source data for many of the MODIS land products. ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343115666-LPCLOUD.html",
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         "description": "The MOD09GQ Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter (m) bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the 250 m surface reflectance bands are the Quality Assurance (QA) layer and five observation layers. This product is intended to be used in conjunction with the quality and viewing geometry information of the 500 m product (MOD09GA).     Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09).    Improvements/Changes from Previous Versions    * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017.  * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2343112831-LPCLOUD.html",
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         "description": "The MOD09Q1 Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 250 meter (m) surface reflectance bands are two quality layers. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used.   Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09).  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1646609734-NSIDC_ECS.html",
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         "description": "This global Level-3 data set (MOD10A1F) provides daily cloud-free snow cover derived from the MODIS/Terra Snow Cover Daily L3 Global 500m SIN Grid data set (MOD10A1). Grid cells\u00a0in MOD10A1 which are obscured by cloud cover are filled by retaining clear-sky views of the surface from previous days. A separate parameter is provided\u00a0which tracks\u00a0the number of days in each cell since the last clear-sky observation. Each data granule contains a 10\u00b0 x 10\u00b0 tile projected to the 500 m sinusoidal grid.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1646610417-NSIDC_ECS.html",
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         "description": "This global Level-3 (L3) data set provides a daily composite of snow cover and albedo derived from the 'MODIS/Terra Snow Cover 5-Min L2 Swath 500m' data set (DOI:10.5067/MODIS/MOD10_L2.061). Each data granule is a 10\u00b0x10\u00b0 tile projected to a 500 m sinusoidal grid.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1646610415-NSIDC_ECS.html",
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         "description": "This global Level-3 (L3) data set provides the maximum snow cover extent observed over an eight-day period within 10\u00b0 x 10\u00b0 MODIS sinusoidal grid tiles. Tiles are generated by compositing 500 m observations from the 'MODIS/Terra Snow Cover Daily L3 Global 500m Grid' data set (DOI:10.5067/MODIS/MOD10A1.061). A bit flag index is used to track the eight-day snow/no-snow chronology for each 500 m cell.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "This global Level-3 (L3) data set provides the percentage of snow-covered land and cloud-covered land observed daily, within 0.05\u00b0 (approx. 5 km) MODIS Climate Modeling Grid (CMG) cells. Percentages are computed from snow cover observations in the 'MODIS/Terra Snow Cover Daily L3 Global 500m Grid' data set (DOI:10.5067/MODIS/MOD10A1.061).  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "This global level-3 (L3) data set provides the maximum percentage of snow-covered land and persistent cloud-covered land observed over eight-days, within 0.05\u00b0 (approx. 5 km) MODIS climate modeling grid (CMG) cells. Percentages are computed from snow cover observations in the 'MODIS/Terra Snow Cover 8-Day L3 Global 500m SIN Grid' data set (DOI:10.5067/MODIS/MOD10A2.061).  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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@@ -131061,7 +133999,7 @@
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         "description": "This global Level-3 (L3) data set provides monthly mean snow cover extent within 0.05\u00b0 (approx. 5 km) MODIS Climate Modeling Grid (CMG) cells. This data set is derived from snow cover observations in the 'MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG\u2019 data set (DOI:10.5067/MODIS/MOD10C1.061).  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1646610394-NSIDC_ECS.html",
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         "description": "This global Level-2 (L2) data set provides daily snow cover detected using the Normalized Difference Snow Index (NDSI) and a series of screens designed to alleviate errors and flag uncertain snow cover detections. The NDSI is derived from radiance data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite: DOI:10.5067/MODIS/MOD02HKM.061 and DOI:10.5067/MODIS/MOD021KM.061. Each data granule contains 5 minutes of swath data observed at a resolution of 500 m.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "The MOD13A1 Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value.   Provided along with the vegetation layers and two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.   Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Vegetation Index product suite. Further details regarding MODIS land product validation for the MOD13 data products are available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD13).  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).",
         "license": "proprietary"
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         "description": "The MOD13A2 Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 1 kilometer (km) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value.   Provided along with the vegetation layers and the two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.   Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Vegetation Index product suite. Further details regarding MODIS land product validation for the MOD13 data products are available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD13).  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). ",
         "license": "proprietary"
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         "description": "The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MOD13A3) Version 6.1 data are provided monthly at 1 kilometer (km) spatial resolution as a gridded Level 3 product in the sinusoidal projection. In generating this monthly product, the algorithm ingests all the MOD13A2 (https://doi.org/10.5067/MODIS/MOD13A2.061) products that overlap the month and employs a weighted temporal average.   The MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products and provides continuity for time series historical applications. MODIS also includes an Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin clouds. The MODIS NDVI and EVI products are computed from surface reflectances corrected for molecular scattering, ozone absorption, and aerosols.  Vegetation indices are used for global monitoring of vegetation conditions and are used in products displaying land cover and land cover changes. These data may be used as input for modeling global biogeochemical and hydrologic processes as well as global and regional climate. Additional applications include characterizing land surface biophysical properties and processes, such as primary production and land cover conversion.  Provided along with the vegetation layers and the two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as three observation layers.  Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Vegetation Index product suite. Further details regarding MODIS land product validation for the MOD13 data products are available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD13).   Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). ",
         "license": "proprietary"
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         "description": "The MOD13C1 Version 6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions.  The Climate Modeling Grid (CMG) consists 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. Global MOD13C1 data are cloud-free spatial composites of the gridded 16-day 1 kilometer MOD13A2 (https://doi.org/10.5067/MODIS/MOD13A2.061) data, and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MOD13C1 has data fields for NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution.   Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Vegetation Index product suite. Further details regarding MODIS land product validation for the MOD13 data products are available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD13).  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565788914-LPCLOUD.html",
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         "description": "The MOD13C2 Version 6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions.  The Climate Modeling Grid (CMG) consists of 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. In generating this monthly product, the algorithm ingests all the MOD13A2 (https://doi.org/10.5067/MODIS/MOD13A2.061) products that overlap the month and employs a weighted temporal average. Global MOD13C1 data are cloud-free spatial composites and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MOD13C2 has data fields for the NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution.   Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Vegetation Index product suite. Further details regarding MODIS land product validation for the MOD13 data products are available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD13).  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).",
         "license": "proprietary"
     },
@@ -131334,7 +134272,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1748066515-LPCLOUD.html",
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         "description": "The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MOD13Q1) Version 6.1 data are generated every 16 days at 250 meter (m) spatial resolution as a Level 3 product. The MOD13Q1 product provides two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value.  Along with the vegetation layers and the two quality layers, the HDF file will have MODIS reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.   Validation at stage 3 (https://landweb.modaps.eosdis.nasa.gov/cgi-bin/QA_WWW/newPage.cgi?fileName=maturity) has been achieved for all MOD13 vegetation products. Further details regarding product validation for the MOD13Q1 data product is available from the MODIS land team validation site (https://landval.gsfc.nasa.gov/ProductStatus.php?ProductID=MOD13).  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2565791013-LPCLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565791013-LPCLOUD.html",
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         "description": "The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire Daily (MOD14A1) Version 6.1 data are generated every eight days at 1 kilometer (km) spatial resolution as a Level 3 product. MOD14A1 contains eight consecutive days of fire data conveniently packaged into a single file.  The Science Dataset (SDS) layers include the fire mask, pixel quality indicators, maximum fire radiative power (MaxFRP), and the position of the fire pixel within the scan. Each layer consists of daily per pixel information for each of the eight days of data acquisition.    Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for all MODIS Thermal Anomalies and Fire products. Further details regarding MODIS land product validation for the MOD14 data product is available from the MODIS land team validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD14).   Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). ",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565791018-LPCLOUD.html",
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         "description": "The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire 8-Day (MOD14A2) Version 6.1 data are generated at 1 kilometer (km) spatial resolution as a Level 3 product. The MOD14A2 gridded composite contains the maximum value of the individual fire pixel classes detected during the eight days of acquisition.  The Science Dataset (SDS) layers include the fire mask and pixel quality indicators.  Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for all MODIS Thermal Anomalies and Fire products. Further details regarding MODIS land product validation for the MOD14 data product is available from the MODIS land team validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD14).  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). ",
         "license": "proprietary"
     },
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         "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire MOD14 Version 6.1 product is produced daily in 5-minute temporal satellite increments (swaths) at 1 kilometer (km) spatial resolution. The MOD14 product is used to generate all of the higher level fire products, but can also be used to identify fires and other thermal anomalies, such as volcanoes. Each swath of data is approximately 2,030 kilometers along track (long), and 2,300 kilometers across track (wide).   Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for all MODIS Thermal Anomalies and Fire products. Further details regarding MODIS land product validation for the MOD14 data product is available from the MODIS land team validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD14).  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). ",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2218777082-LPCLOUD.html",
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         "description": "The MOD15A2H Version 6.1 Moderate Resolution Imaging Spectroradiometer (MODIS) combined Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is an 8-day composite dataset with 500 meter (m) pixel size. The algorithm chooses the \u201cbest\u201d pixel available from all the acquisitions of the Terra sensor from within the 8-day period.  LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation, 400-700 nanometers (nm), absorbed by the green elements of a vegetation canopy.  Science Datasets (SDSs) in the Level 4 (L4) MOD15A2H product include LAI, FPAR, two quality layers, and standard deviation for LAI and FPAR. Two low resolution browse images, LAI and FPAR, are also available for each MOD15A2H granule.  The LAI product has attained stage 2 (https://landweb.modaps.eosdis.nasa.gov/cgi-bin/QA_WWW/newPage.cgi?fileName=maturity) validation and the FPAR product has attained stage 1 (https://landweb.modaps.eosdis.nasa.gov/cgi-bin/QA_WWW/newPage.cgi?fileName=maturity) validation.  Improvements/Changes from Previous Versions  * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). ",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565791021-LPCLOUD.html",
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         "description": "The MOD16A2GF Version 6.1 Evapotranspiration/Latent Heat Flux (ET/LE) product is a year-end gap-filled 8-day composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with Moderate Resolution Imaging Spectroradiometer (MODIS) remotely sensed data products such as vegetation property dynamics, albedo, and land cover.  The MOD16A2GF will be generated at the end of each year when the entire yearly 8-day MOD15A2H (https://doi.org/10.5067/MODIS/MOD15A2H.061) is available. Hence, the gap-filled MOD16A2GF is the improved MOD16, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get MOD16A2GF in near-real time because it will be generated only at the end of a given year.  Provided in the MOD16A2GF product are layers for composited ET, LE, Potential ET (PET), and Potential LE (PLE) along with a quality control layer. Two low resolution browse images, ET and LE, are also available for each MOD16A2GF granule.  The pixel values for the two Evapotranspiration layers (ET and PET) are the sum of all eight days within the composite period, and the pixel values for the two Latent Heat layers (LE and PLE) are the average of all eight days within the composite period. The last acquisition period of each year is a 5- or 6-day composite period, depending on the year.  Validation at stage 1 (https://landweb.modaps.eosdis.nasa.gov/cgi-bin/QA_WWW/newPage.cgi?fileName=maturity) has been achieved for MODIS Evapotranspiration products.  Improvements/Changes from Previous Versions * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). * The product uses Climatology LAI/FPAR as back up to the operational LAI/FPAR. ",
         "license": "proprietary"
     },
@@ -131477,7 +134415,7 @@
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         "description": "The MOD16A2 Version 6.1 Evapotranspiration/Latent Heat Flux product is an 8-day composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with Moderate Resolution Imaging Spectroradiometer (MODIS) remotely sensed data products such as vegetation property dynamics, albedo, and land cover.     Provided in the MOD16A2 product are layers for composited Evapotranspiration (ET), Latent Heat Flux (LE), Potential ET (PET) and Potential LE (PLE) along with a quality control layer. Two low resolution browse images, ET and LE, are also available for each MOD16A2 granule.    The pixel values for the two Evapotranspiration layers (ET and PET) are the sum of all eight days within the composite period and the pixel values for the two Latent Heat layers (LE and PLE) are the average of all eight days within the composite period. Note that the last acquisition period of each year is a 5 or 6-day composite period, depending on the year.    Validation at stage 1 (https://landweb.modaps.eosdis.nasa.gov/cgi-bin/QA_WWW/newPage.cgi?fileName=maturity) has been achieved for MODIS Evapotranspiration products.    Improvements/Changes from Previous Versions    * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017.  * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).  * The product uses Climatology LAI/FPAR as back up to the operational LAI/FPAR. ",
         "license": "proprietary"
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         "description": "The MOD16A3GF Version 6.1 Evapotranspiration/Latent Heat Flux (ET/LE) product is a year-end gap-filled yearly composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with Moderate Resolution Imaging Spectroradiometer (MODIS) remotely sensed data products such as vegetation property dynamics, albedo, and land cover.  The MOD16A3GF will be generated at the end of each year when the entire yearly 8-day MOD15A2H (https://doi.org/10.5067/MODIS/MOD15A2H.061) is available. Hence, the gap-filled MOD16A3GF is the improved MOD16, which has cleaned the poor-quality inputs from yearly Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get MOD16A3GF in near-real time because it will be generated only at the end of a given year.  Provided in the MOD16A3GF product are layers for composited ET, LE, Potential ET (PET), and Potential LE (PLE) along with a quality control layer. Two low resolution browse images, ET and LE, are also available for each MOD16A3GF granule.  The pixel values for the two Evapotranspiration layers (ET and PET) are the sum for all days within the defined year, and the pixel values for the two Latent Heat layers (LE and PLE) are the average of all days within the defined year.  Validation at stage 1 (https://landweb.modaps.eosdis.nasa.gov/cgi-bin/QA_WWW/newPage.cgi?fileName=maturity) has been achieved for MODIS Evapotranspiration products.  Improvements/Changes from Previous Versions * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). * The product uses Climatology LAI/FPAR as back up to the operational LAI/FPAR.   ",
         "license": "proprietary"
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         "description": "The MOD17A3HGF Version 6.1 product provides information about annual Gross and Net Primary Production (GPP and NPP) at 500 meter (m) pixel resolution. Annual Terra Moderate Resolution Imaging Spectroradiometer (MODIS) GPP and NPP is derived from the sum of all 8-day GPP Net Photosynthesis (PSN) products (MOD17A2H)(https://doi.org/10.5067/MODIS/MOD17A2H.061) from the given year. The PSN value is the difference of the GPP and the Maintenance Respiration (MR).  The MOD17A2HGF will be generated at the end of each year when the entire yearly 8-day MOD15A2H (https://doi.org/10.5067/modis/mod15a2h.061) is available. Hence, the gap-filled MOD17A2HGF is the improved MOD17, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation  (FPAR/LAI) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get MOD17A2HGF in near-real time because it will be generated only at the end of a given year.  Stage 3 (https://landweb.modaps.eosdis.nasa.gov/cgi-bin/QA_WWW/newPage.cgi?fileName=maturity) validation has been achieved for MOD17 products.  Improvements/Changes from Previous Versions * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). * The product uses Climatology LAI/FPAR as back up to the operational LAI/FPAR. ",
         "license": "proprietary"
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         "description": "The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Water Reservoir 8-Day Level 3 (L3) Global (MOD28C2) Version 6.1 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs.  The MOD28C2 Version 6.1 data product provides an 8-day time series of surface area, elevation, and water storage. Datasets are combined with pre-established Area-Elevation (A-E) curves (https://doi.org/10.1016/j.rse.2020.111831) and image classifications of near-infrared (NIR) reflectance from the surface reflectance product acquired by the Terra satellite (MOD09Q1).   The MOD28C2 data product contains a single layer with information about the reservoir identifier, dam location (longitude and latitude), reservoir area, elevation, and storage capacity.  ",
         "license": "proprietary"
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         "description": "The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Water Reservoir Monthly Level 3 (L3) Global (MOD28C3) Version 6.1 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs. The MOD28C3 Version 6.1 data product is a composite of the 8-day area classifications from MOD28C2, which is converted to provide monthly elevation and water storage. Lake Temperature and Evaporation Model (LTEM) (https://www.sciencedirect.com/science/article/pii/S0034425720304776?via%3Dihub) via MODIS Land Surface Temperature (LST) (MOD21) and meteorological data from Global Land Data Assimilation System (GLDAS) (https://earth.gsfc.nasa.gov/hydro/data/gldas-global-land-data-assimilation-system-data) are used to produce monthly evaporation rates and volume losses. The MOD28C3 data product contains a single layer with information about the reservoir identifier, dam location (longitude and latitude), monthly reservoir area, elevation, storage capacity, evaporation rate, and evaporation volume.",
         "license": "proprietary"
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         "description": "This global Level-3 (L3) data set provides Northern and Southern Hemisphere maps of sea ice extent and ice surface temperature. The maps are generated by compositing 1 km observations from the 'MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Day\u2019 (https://doi.org/10.5067/MODIS/MOD29P1D.061) product. These data are provided daily in the EASE-Grid polar projection at a resolution of approximately 4 km.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "This global Level-3 (L3) data set provides daily daytime sea ice extent and ice surface temperature derived from the 'MODIS/Terra Sea Ice Extent 5-Min L2 Swath 1km' (https://doi.org/10.5067/MODIS/MOD29.061) product. Each data granule is a tile consisting of 10 x 10 degrees of data gridded to the Lambert Azimuthal Equal Area Scalable Earth Grid (EASE-Grid).  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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@@ -131698,7 +134636,7 @@
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         "description": "This global Level-3 (L3) data set provides daily nighttime ice surface temperature derived from the 'MODIS/Terra Sea Ice Extent 5-Min L2 Swath 1km' (https://doi.org/10.5067/MODIS/MOD29.061) product. Each data granule is a tile consisting of 10 x 10 degrees of data gridded to the Lambert Azimuthal Equal Area Scalable Earth Grid (EASE-Grid).  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
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         "description": "This global Level-2 (L2) product provides daily sea ice extent and ice surface temperature. The data are derived from Level-1B radiances acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite. Each data granule contains 5 minutes of swath data observed at a resolution of 1000 m.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "license": "proprietary"
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         "license": "proprietary"
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         "description": "This dataset provides the average Normalized Difference Vegetation Index (NDVI) at 1-km resolution over the north slope of Alaska, USA, for the growing season (June-August) of each year from 2000-2015, and NDVI trends for the same period. The dataset presents growing-season averages and trends from two sources: 1) derived from 1-km, 8-day data from the Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI (MOD13A2) product, and 2) predicted by the Coupled Carbon and Nitrogen model (CCaN). CCaN is a mass balance carbon and nitrogen model that was driven by 1-km MODIS surface temperature and climate data for the North Slope of Alaska and parameterized using model-data fusion, where model predictions were ecologically constrained with historical ecological ground and satellite-based data.",
         "license": "proprietary"
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         "description": "This global Level-3 data set (MYD10A1F) provides daily cloud-free snow cover derived from the MODIS/Aqua Snow Cover Daily L3 Global 500m SIN Grid data set (MYD10A1). Grid cells\u00a0in MYD10A1 which are obscured by cloud cover are filled by retaining clear-sky views of the surface from previous days. A separate parameter is provided\u00a0which tracks\u00a0the number of days in each cell since the last clear-sky observation. Each data granule contains a 10\u00b0 x 10\u00b0 tile projected to the 500 m sinusoidal grid.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "This global Level-3 (L3) data set provides a daily composite of snow cover and albedo derived from the 'MODIS/Aqua Snow Cover 5-Min L2 Swath 500m' data set (DOI:10.5067/MODIS/MYD10_L2.061). Each data granule is a 10\u00b0x10\u00b0 tile projected to a 500 m sinusoidal grid.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "This global Level-3 (L3) data set provides the maximum snow cover extent (SNE) observed over an eight-day period within 10\u00b0 x 10\u00b0 MODIS sinusoidal grid tiles. Tiles are generated by compositing 500 m observations from the 'MODIS/Aqua Snow Cover Daily L3 Global 500m Grid' data set (DOI:10.5067/MODIS/MYD10A1.061). A bit flag index is used to track the eight-day snow/no-snow chronology for each 500 m cell.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "This global Level-2 (L2) data set provides daily snow cover detected using Normalized Difference Snow Index (NDSI) and a series of screens designed to alleviate errors and flag uncertain snow cover detections. The NDSI is derived from radiance data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Aqua satellite: DOI:10.5067/MODIS/MYD02HKM.061 and DOI:10.5067/MODIS/MYD021KM.061. Each data granule contains 5 minutes of swath data observed at a resolution of 500 m.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "This global Level-3 (L3) data set provides Northern and Southern Hemisphere maps of sea ice extent and ice surface temperature. The maps are generated by compositing 1 km observations from the 'MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Day\u2019 (https://doi.org/10.5067/MODIS/MYD29P1D.061) product. These data are provided daily in the EASE-Grid polar projection at a resolution of approximately 4 km.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "This global Level-3 (L3) data set provides daily daytime sea ice extent and ice surface temperature derived from the 'MODIS/Aqua Sea Ice Extent 5-Min L2 Swath 1km' (https://doi.org/10.5067/MODIS/MYD29.061) product. Each data granule is a tile consisting of 10\u00b0 x 10\u00b0 of data gridded to the Lambert Azimuthal Equal Area Scalable Earth Grid (EASE-Grid).  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
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         "description": "This global Level-3 (L3) data set provides daily nighttime ice surface temperature derived from the 'MODIS/Aqua Sea Ice Extent 5-Min L2 Swath 1km' (https://doi.org/10.5067/MODIS/MYD29.061) product. Each data granule is a tile consisting of 10 x 10 degrees of data gridded to the Lambert Azimuthal Equal Area Scalable Earth Grid (EASE-Grid).  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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         "description": "This global Level-2 (L2) product provides daily sea ice extent and ice surface temperature. The data are derived from Level-1B radiances acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Aqua satellite. Each data granule contains 5 minutes of swath data observed at a resolution of 1000 m.  The terms \"Version 61\" and \"Collection 6.1\" are used interchangeably in reference to this release of MODIS data.",
         "license": "proprietary"
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@@ -136625,7 +139563,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401742-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401742-ORNL_CLOUD.html",
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         "description": "This dataset provides the annual date of snowpack seasonal beginning melt (i.e., main melt onset date, MMOD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. MMOD was derived from the daily 19V (K-band) and 37V (Ka-band) GHz bands from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). The PMW MMOD dataset was validated using the transition date from Freeze Degree Days (FDD) to Thaw Degree Days (TDD) from in situ air temperature observations from 31 SNOw TELemetry network (SNOTEL) observations, and compared to the established Freeze-Thaw ESDR (FT-ESDR) spring onset date. The resulting MMOD data record is suitable for documenting the spatial-temporal impacts of MMOD variability in ecosystem services, wildlife movements, and hydrologic processes across the ABoVE domain. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies.",
         "license": "proprietary"
     },
@@ -136755,7 +139693,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736724792-ORNL_CLOUD.html",
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         "description": "This data set describes the temperature and relative humidity at 12 locations around Goddard Space Flight Center in Greenbelt MD at 15 minute intervals between November 2013 and November 2015. These data were collected to study the impact of surface type on heating in a campus setting and to improve the understanding of urban heating and potential mitigation strategies on the campus scale. Sensors were mounted on posts at 2 m above surface and placed on 7 different surface types around the centre: asphalt parking lot, bright surface roof, grass field, forest, and stormwater mitigation features (bio-retention pond and rain garden). Data were also recorded in an office setting and a garage, both pre- and post-deployment, for calibration purposes. This dataset could be used to validate satellite-based study or could be used as a stand-alone study of the impact of surface type on heating in a campus setting.",
         "license": "proprietary"
     },
@@ -136911,7 +139849,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808090466-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808090466-ORNL_CLOUD.html",
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         "description": "A global digital data base of vegetation was compiled at 1 degree latitude by 1 degree longitude resolution, drawing on approximately 100 published sources.  Vegetation data from varied sources were consistently recorded using the hierarchical UNESCO classification system.  The raw data base distinguishes about 180 vegetation types that have been collapsed to 32.",
         "license": "proprietary"
     },
@@ -137028,7 +139966,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764692443-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764692443-ORNL_CLOUD.html",
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         "description": "This dataset provides a global 0.25 degree x 0.25 degree gridded monthly mean leaf area index (LAI) climatology as averaged over the period from August 1981 to August 2015. The data were derived from the Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) LAI3g version 2, a bi-weekly data product from 1981 to 2015 (GIMMS-LAI3g version 2). The LAI3g version 2 (raw) data were first regridded from 1/12 x 1/12 degree to 0.25 x 0.25 degree resolution, then processed to remove missing and unreasonable values, scaled to obtain LAI values, and the bi-weekly LAI values were averaged for every month. Finally, the monthly long-term mean LAI (1981-2015) was calculated.",
         "license": "proprietary"
     },
@@ -137067,7 +140005,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2847115945-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2847115945-ORNL_CLOUD.html",
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         "description": "This dataset provides Level 2 (L2) Solar-Induced Fluorescence (SIF) of chlorophyll estimates derived from the Global Ozone Monitoring Experiment 2 (GOME-2) instrument on the European Meteorological Satellite (EUMETSAT) MetOp-A with ~0.5 nm spectral resolution and wavelengths between 734 and 758 nm. GOME-2 covers global land on an orbital basis at a resolution of approximately 40 km x 80 km (before 15 July 2013) or 40 km x 40 km (since 15 July 2013). Data are provided for the period from 2007-02-01 to 2018-02-01. Each file contains daily raw and bias-adjusted solar-induced fluorescence, quality control information, and ancillary data. SIF measurements can provide information on vegetation's functional status, including light-use efficiency and global primary productivity, which can be used for global carbon cycle modeling and agricultural applications. The GOME-2 SIF product is inherently noisy due to low signal levels and has undergone only a limited amount of validation. The data are provided in netCDF format.",
         "license": "proprietary"
     },
@@ -137080,7 +140018,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2840822442-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2840822442-ORNL_CLOUD.html",
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         "description": "This dataset provides Level 2 (L2) Solar-Induced Fluorescence (SIF) of chlorophyll estimates derived from the Global Ozone Monitoring Experiment 2 (GOME-2) instrument on the European Meteorological Satellite (EUMETSAT) MetOp-B with ~0.5 nm spectral resolution and wavelengths between 734 and 758 nm. GOME-2 covers global land (observations up to 75-degree solar zenith angle) at a resolution of approximately 40 km x 80. Data are provided for the period from 2013-04-01 to 2021-06-07. Each file contains daily raw and bias-adjusted solar-induced fluorescence along with quality control information and ancillary data. SIF measurements can provide information on the functional status of vegetation including light-use efficiency and global primary productivity that can be used for global carbon cycle modeling and agricultural applications. The GOME-2 SIF product is inherently noisy owing to low signal levels and has undergone only a limited amount of validation. The data are provided in netCDF (*.nc) format.",
         "license": "proprietary"
     },
@@ -137093,7 +140031,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751482070-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751482070-ORNL_CLOUD.html",
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         "description": "The BigFoot Project has compiled daily meteorological measurements for nine EOS Land Validation Sites located from Alaska to Brazil from 1991 to 2004. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest.The BigFoot Project needed meteorological data to run the ecosystem process models used for scaling GPP and NPP products, for monitoring interannual variability, and for model testing. Meteorological data were obtained from various agencies collecting data in the vicinity of the BigFoot sites and for more recent years, collected on co-located CO2 flux measurement towers. A comparable set of original measurements from all sites were aggregated to a common daily time step for use in the BIOME-BGC model. ",
         "license": "proprietary"
     },
@@ -137119,7 +140057,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401746-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401746-ORNL_CLOUD.html",
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         "description": "This dataset includes maps of the locations and number of methane ebullition hotspots in 15 frozen lakes in the southern portion of the Goldstream Valley and the surrounding landscape just north of Fairbanks, Alaska, USA. Hotspots were identified from early winter high resolution aerial photographs acquired three days after lake-ice formation in October 2014. Hotspot ebullition seeps are defined as point-sources of high ebullition that release methane from lake sediments year-round. High rates of bubbling impede ice formation. In early winter, bubbling leads to dark, round open holes in lake ice which were visible in the aerial photos. This project investigated the role of theromkarst lakes in thawing of permafrost and mobilization of organic carbon in frozen soils.",
         "license": "proprietary"
     },
@@ -137145,7 +140083,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345877554-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345877554-ORNL_CLOUD.html",
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         "description": "This dataset contains annual global flare site surveys from 2012-2019 derived from Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar Partnership (SNPP) satellite. Gas flaring sites were identified from heat anomalies first estimated by the VIIRS Nightfire (VNF) algorithm from which high-temperature biomass burning and low-temperature gas flaring were separated based on temperature and persistence. Nightly observations for each flare site were drawn to determine their activity in the given calendar year. Data include flare location, temperature, and estimated flared gas volume; flaring data summarized by country; and KMZ files for viewing flaring locations in Google Earth. This dataset is valuable for measuring the current status of global gas flaring, which can have significant environmental impacts.",
         "license": "proprietary"
     },
@@ -137197,7 +140135,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3236621594-ORNL_CLOUD.html",
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         "description": "This dataset provides global monthly wetland methane (CH4) emissions estimates at 0.5 by 0.5-degree resolution for the period 2001-01-01 to 2022-08-31 that were derived from an ensemble of multiple terrestrial biosphere models, wetland extent scenarios, and CH4:C temperature dependencies that encompass the main sources of uncertainty in wetland CH4 emissions. There are 18 model configurations. WetCHARTs v1.3.3 is an updated product of WetCHARTs v1.3.1 dataset. The intended use of this product is as a process-informed wetland CH4 emission data set for atmospheric chemistry and transport modeling. Users can compare estimates by model configuration to explore variability and sensitivity with respect to ensemble members. The data are provided in netCDF format.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170971533-ORNL_CLOUD.html",
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         "description": "This dataset provides modeled estimates of monthly hydrological fluxes at 0.25-degree resolution over Alaska and Canada for the years 1979-2018. The estimates were derived from the Variable Infiltration Capacity (VIC) macroscale hydrological model version 4.1.2 with water and energy balance schemes at 0.25-degree spatial and daily temporal resolution for this 38-year period. The gridded output data products are monthly average water balance variables including precipitation (P), evapotranspiration (E), 'P minus E', evaporation, soil moisture in three soil layers, base flow and runoff, snow depth, snow water equivalent (SWE), and snow sublimation, and energy balance variables including surface temperature, albedo, latent and sensible heat flux, ground heat flux, short- and long-wave and other radiative fluxes. The daily modeled values for precipitation and evapotranspiration were also aggregated to water years and precipitation was also aggregated to a 30-year climate normal average.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2434072484-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2434072484-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of hourly carbon dioxide (CO2) emissions from the combustion of fossil fuels at 1-km resolution for the coterminous United States (CONUS) covering the years 2012 through 2017. Emissions from the ACES model are reported for ten distinct emissions source sectors: Airports and Aircraft, Commercial Buildings, Electric Power Generation facilities, Industrial point and non-point sources, Commercial Marine Vessels, Nonroad vehicles and equipment, Oil and Gas wells and facilities, Onroad vehicles, Railway engines and yards, and Residential buildings. All emissions are reported hourly on a 1-km x 1-km spatial grid. The data are provided in NetCDF version 4 format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517680963-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517680963-ORNL_CLOUD.html",
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         "description": "This dataset reports continuous atmospheric measurements of CO2 from two receptor sites and three boundary sites in and around Boston, Massachusetts, USA, that were combined with high-resolution CO2 emissions estimates and the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to estimate regional CO2 emissions from September 2013 to December 2014. The HYSPLIT model followed an ensemble of 1,000 particles released at the urban CO2 measurement sites backward in time based on wind fields and turbulence from the North American Mesoscale Forecast System (NAM) at 12-km resolution to the boundary CO2 measurement sites to derive footprint values and CO2 enhancements expected from the prior emissions based on the Anthropogenic Carbon Emissions System (ACES) inventory and the urban-Vegetation Photosynthesis Respiration Model (urbanVPRM). This dataset contains three sets of data products: (1) observed hourly mean CO2 observations for two urban receptor sites in Boston, MA (Boston University (BU) and Copley Square (COP)), (2) observed hourly mean CO2 and calculated vertical profiles (50 - 5000 m) for three boundary sites around Boston including Harvard Forest at Petersham, MA (HF), Canaan, NH (CA), and Martha's Vineyard, MA (MVY), and modeled mean boundary CO2 concentrations for particles released from BU and COP, and (3) particle trajectory files including footprint values and CO2 enhancements above boundary CO2 concentrations from the HYSPLIT model.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517354716-ORNL_CLOUD.html",
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         "description": "This dataset provides spatial data products with identified and organized locations of potential methane (CH4) emitting facilities and infrastructure spanning the State of California. These data products form a GIS-based mapping database designed to address shortcomings in current CH4 source inventories and is known as Vista California (Vista-CA). Vista-CA consists of detailed spatial maps for facilities and infrastructure in California that are known or expected sources of CH4 emissions and illustrates the spatial distribution of potential CH4 sources. Vista-CA spatial data sets were created utilizing an assortment of publicly available data sources from local, state, and federal agencies for the years 2005 to 2019. The final Vista-CA database contains over 230,000 entries, which are presented as fifteen CH4 emitting infrastructure maps. The database was used to support flight planning and source attribution for the California Methane Survey project.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517703066-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517703066-ORNL_CLOUD.html",
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         "description": "This data set provides spatial data products with identified and classified locations of potential methane (CH4) emitting facilities and infrastructure in the South Coast Air Basin (SoCAB). These data products form a GIS-based mapping database designed to address shortcomings in current urban CH4 source inventories and is known as Vista Los Angeles (Vista-LA). SoCAB is the air shed for the greater Los Angeles urban area, which includes urbanized portions of the Los Angeles, Orange, Riverside, and San Bernardino Counties, California, USA. Vista-LA consists of detailed spatial maps for facilities and infrastructure in the SoCAB that are known or expected sources of CH4 emissions and illustrates the spatial distribution of potential CH4 sources, representing a first step towards developing an urban-scale CH4 emissions gridded inventory for the SoCAB. Vista-LA spatial data sets were created utilizing an assortment of publicly available data sources from local, state, and federal agencies for the years 2012 to 2017. The final Vista-LA database contains over 33,000 entries, which are presented as thirteen CH4 emitting infrastructure maps.",
         "license": "proprietary"
     },
@@ -138514,6 +141452,32 @@
         "description": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_DOE_G-1_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Department of Energy (DOE) G-1 Air Chemistry, Aerosol, and Met Data.     Twenty research flights were made from August 18 to September 12, 2000.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_DOE_G-1_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Department of Energy (DOE) G-1 Air Chemistry, Aerosol, and Met Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-08-19",
+        "end_date": "2000-09-12",
+        "bbox": "-97.45, 28.46, -94.47, 31.68",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971344-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971344-LARC_CLOUD.html",
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+        "description": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_DOE_G-1_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Department of Energy (DOE) G-1 Air Chemistry, Aerosol, and Met Data.     Twenty research flights were made from August 18 to September 12, 2000.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
+    {
+        "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_HCHO_H2O2_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Formaldehyde and Hydrogen Peroxide Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-08-12",
+        "end_date": "2000-09-25",
+        "bbox": "-95.18, 29.77, -95.18, 29.77",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971313-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971313-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_HOUSTON_TEXAQS2000_HCHO_H2O2_DATA_1",
+        "description": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Formaldehyde and Hydrogen Peroxide Data. It contains continuous formaldehyde (HCHO) and hydrogen peroxide (H2O2) measurements collected in August - September 2000 during TEXAQS2000 at the Houston Regional Monitoring (HRM) Site 3 monitoring station. Integrated single point measurements of 3-minute samples were collected every 10 minutes.     The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_HCHO_H2O2_DATA_1",
         "title": "NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Formaldehyde and Hydrogen Peroxide Data",
@@ -138527,6 +141491,19 @@
         "description": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Formaldehyde and Hydrogen Peroxide Data. It contains continuous formaldehyde (HCHO) and hydrogen peroxide (H2O2) measurements collected in August - September 2000 during TEXAQS2000 at the Houston Regional Monitoring (HRM) Site 3 monitoring station. Integrated single point measurements of 3-minute samples were collected every 10 minutes.     The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM25_ORG_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Particulate Matter (PM) 2.5 Organic Speciation Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-08-15",
+        "end_date": "2000-09-15",
+        "bbox": "-95.32, 29.66, -95.06, 29.9",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971274-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971274-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM25_ORG_DATA_1",
+        "description": "The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM25_ORG_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Particulate Matter (PM) 2.5 Organic Speciation Data. This file contains 24-hour integrated organic speciation of fine particulate matter (PM2.5) collected August 15, 2000 through September 30, 2000 at the HRM Site 3, Aldine, and La Porte Houston Supersite monitoring locations during TexAQS2000. The filters were extracted with hexane and benzene: isopropanol. Polar compounds were analyzed after derivatization with either diazomethane or bis-trimethylsilyl-trifluoroacetamide. All compounds were quantified by gas chromatography-mass spectrometry. The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM25_ORG_DATA_1",
         "title": "NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Particulate Matter (PM) 2.5 Organic Speciation Data",
@@ -138553,6 +141530,19 @@
         "description": "The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_FTIR measurement data consist of absolute absorbance areas for organonitrates, sulfate, aliphatic carbon and carbonyl compounds for size segregated particulate matter collected using a Herring Low Pressure Impactor (LPI). These data were collected during August and September 2000 at the Houston PM Supersite locations (LaPorte, HRM3, and Aldine) during the Texas Air Quality Study 2000 (TexAQS).The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_FTIR_1",
+        "title": "NARSTO EPA_SS_HOUSTON TEXAQS2000 Particulate Matter FTIR Composition",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-08-05",
+        "end_date": "2000-09-13",
+        "bbox": "-96, 29, -93, 30.5",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971153-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971153-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_FTIR_1",
+        "description": "The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_FTIR measurement data consist of absolute absorbance areas for organonitrates, sulfate, aliphatic carbon and carbonyl compounds for size segregated particulate matter collected using a Herring Low Pressure Impactor (LPI). These data were collected during August and September 2000 at the Houston PM Supersite locations (LaPorte, HRM3, and Aldine) during the Texas Air Quality Study 2000 (TexAQS).The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS_1",
         "title": "NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Size-specific Particulate Matter (PM) Mass Concentration Data",
@@ -138566,6 +141556,19 @@
         "description": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Size-specific Particulate Matter (PM) Mass Concentration Data. This file reports size segregated mass particulate data collected with a micro-orifice uniform deposit impactors (MOUDI) sampler during the TexAQS2000 at the Houston Regional Monitoring (HRM) Site 3 and LaPorte Houston Supersite monitoring locations. Daily MOUDI sampling began on August 17, 2000 and ended on September 13, 2000. The MOUDI is a model 100 rotating micro-orifice uniform deposit impactor from MSP Corporation. The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended PM. The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine PM, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS_1",
+        "title": "NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Size-specific Particulate Matter (PM) Mass Concentration Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-08-17",
+        "end_date": "2000-09-13",
+        "bbox": "-95.18, 29.66, -95.06, 29.76",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971303-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971303-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS_1",
+        "description": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Size-specific Particulate Matter (PM) Mass Concentration Data. This file reports size segregated mass particulate data collected with a micro-orifice uniform deposit impactors (MOUDI) sampler during the TexAQS2000 at the Houston Regional Monitoring (HRM) Site 3 and LaPorte Houston Supersite monitoring locations. Daily MOUDI sampling began on August 17, 2000 and ended on September 13, 2000. The MOUDI is a model 100 rotating micro-orifice uniform deposit impactor from MSP Corporation. The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended PM. The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine PM, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL_1",
         "title": "NARSTO EPA_SS_HOUSTON TEXAQS2000 Washburn Tunnel Air Quality Monitoring Data",
@@ -138579,6 +141582,32 @@
         "description": "The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL data contain gas and particle phase measurements collected in a tunnel in the Houston area during the summer of 2000. The primary objective of this study was to provide data for estimating vehicular emission factors and composition profiles as part of the TexAQS2000 program. Measurements were collected on each day from August 29, 2000 (Tuesday) through September 1, 2000 (Friday). Sampling was conducted during the 1200 - 1400 CDT and 1600 - 1800 CDT time periods each day. Measurements collected during the study included nitrogen oxides, carbon dioxide, carbon monoxide, ammonia, fine particulate matter (PM2.5), and individual hydrocarbon species.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL_1",
+        "title": "NARSTO EPA_SS_HOUSTON TEXAQS2000 Washburn Tunnel Air Quality Monitoring Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-08-29",
+        "end_date": "2000-09-01",
+        "bbox": "-96, 29, -93, 30.5",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971305-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971305-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL_1",
+        "description": "The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL data contain gas and particle phase measurements collected in a tunnel in the Houston area during the summer of 2000. The primary objective of this study was to provide data for estimating vehicular emission factors and composition profiles as part of the TexAQS2000 program. Measurements were collected on each day from August 29, 2000 (Tuesday) through September 1, 2000 (Friday). Sampling was conducted during the 1200 - 1400 CDT and 1600 - 1800 CDT time periods each day. Measurements collected during the study included nitrogen oxides, carbon dioxide, carbon monoxide, ammonia, fine particulate matter (PM2.5), and individual hydrocarbon species.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
+        "license": "proprietary"
+    },
+    {
+        "id": "NARSTO_EPA_SS_LOS_ANGELES_AETHALOMETER_EC_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Los Angeles Aethalometer Elemental Carbon Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-09-15",
+        "end_date": "2003-10-16",
+        "bbox": "-118.16, 33.93, -117.33, 34.13",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971225-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971225-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_LOS_ANGELES_AETHALOMETER_EC_DATA_1",
+        "description": "NARSTO_EPA_SS_LOS_ANGELES_AETHALOMETER_EC_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Aethalometer Elemental Carbon Data. Data was collected between September 2000 to October 2003 at Claremont, Downey, Riverside, Rubidoux, and the University of Southern California (USC) in Los Angeles County, California. The Magee Scientific AE-2 series dual beam aethalometer was used in a mobile trailer to collect mass concentrations of optically absorbing black carbon particles in the submicron size range during September 15, 2000 to October 16, 2003. The Aethalometer collected aerosol continuously on quartz fiber paper and determined the increment of optically absorbing black carbon per unit volume of sampled air every 5 minutes. The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin (LAB ). The EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_LOS_ANGELES_AETHALOMETER_EC_DATA_1",
         "title": "NARSTO EPA Supersite (SS) Los Angeles Aethalometer Elemental Carbon Data",
@@ -138605,6 +141634,32 @@
         "description": "The NARSTO_EPA_SS_LOS_ANGELES_APS_DATA were collected between December 2000 and September 2001. At several locations in Los Angeles County, California, a TSI Aerodynamic Particle Sizer (APS) was used in a mobile trailer to collect size characteristics of particles ranging from about 0.5 to 20 mm. Based on the time-of-flight principle, the APS measured particle count concentrations for 52 channels that cover sizes from 0.5 to 20 mm in every 15 minutes. Note that the first channel reports particle count concentrations for sizes < 0.523 mm.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_LOS_ANGELES_APS_DATA_1",
+        "title": "NARSTO EPA_SS_LOS_ANGELES Aerodynamic Particle Size Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-12-08",
+        "end_date": "2001-09-08",
+        "bbox": "-118.2, 33.9, -117.3, 34.2",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228970979-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228970979-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_LOS_ANGELES_APS_DATA_1",
+        "description": "The NARSTO_EPA_SS_LOS_ANGELES_APS_DATA were collected between December 2000 and September 2001. At several locations in Los Angeles County, California, a TSI Aerodynamic Particle Sizer (APS) was used in a mobile trailer to collect size characteristics of particles ranging from about 0.5 to 20 mm. Based on the time-of-flight principle, the APS measured particle count concentrations for 52 channels that cover sizes from 0.5 to 20 mm in every 15 minutes. Note that the first channel reports particle count concentrations for sizes < 0.523 mm.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
+        "license": "proprietary"
+    },
+    {
+        "id": "NARSTO_EPA_SS_LOS_ANGELES_HEADS_PART_IONS_MASS_1",
+        "title": "NARSTO EPA Supersite (SS) Los Angeles Harvard/EPA Annular Denuder System (HEADS) Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-03-14",
+        "end_date": "2003-06-11",
+        "bbox": "-117.72, 33.96, -117.33, 34.13",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971246-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971246-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_LOS_ANGELES_HEADS_PART_IONS_MASS_1",
+        "description": "NARSTO_EPA_SS_LOS_ANGELES_HEADS_PART_IONS_MASS is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Harvard/EPA Annular Denuder System (HEADS) Data product. This product was collected between December 2001 and June 2003. The HEADS model URG-2000-30DI was used to collect the Particulate Matter (PM) 2.5 mass concentration data episodically from December 6, 2001 - August 21, 2002. It was also used to collect sulfate and nitrate ions at Claremont from September 28, 2001 - August 6, 2002, at Riverside from March 14 - June 6 2001, and the University of Southern California from October 8, 2002 - June 11, 2003. HEADS uses chemically coated annular denuder tubes to selectively remove gaseous pollutants before PM. The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin (LAB). The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_LOS_ANGELES_HEADS_PART_IONS_MASS_1",
         "title": "NARSTO EPA Supersite (SS) Los Angeles Harvard/EPA Annular Denuder System (HEADS) Data",
@@ -138618,6 +141673,19 @@
         "description": "NARSTO_EPA_SS_LOS_ANGELES_HEADS_PART_IONS_MASS is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Harvard/EPA Annular Denuder System (HEADS) Data product. This product was collected between December 2001 and June 2003. The HEADS model URG-2000-30DI was used to collect the Particulate Matter (PM) 2.5 mass concentration data episodically from December 6, 2001 - August 21, 2002. It was also used to collect sulfate and nitrate ions at Claremont from September 28, 2001 - August 6, 2002, at Riverside from March 14 - June 6 2001, and the University of Southern California from October 8, 2002 - June 11, 2003. HEADS uses chemically coated annular denuder tubes to selectively remove gaseous pollutants before PM. The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin (LAB). The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_LOS_ANGELES_MOUDI_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Los Angeles Size-Fractionated Particulate Matter (PM) Composition - micro-orifice uniform deposit impactors (MOUDI) Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-10-03",
+        "end_date": "2003-09-19",
+        "bbox": "-118.16, 33.93, -117.33, 34.13",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971174-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971174-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_LOS_ANGELES_MOUDI_DATA_1",
+        "description": "The NARSTO_EPA_SS_LOS_ANGELES_MOUDI_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Size-Fractionated Particulate Matter (PM) Composition - micro-orifice uniform deposit impactors (MOUDI) Data product. Data for this collection was collected between late 2000 and late 2003 from sites at Downey, Claremont, Riverside, Rubidoux, and the University of Southern California (USC). Samples were typically collected for a one-day period, but in some cases, duration was less than or more than one day. Element/metals, carbon, nitrate/sulfate ion, and mass concentration data were obtained. The MOUDI is a multiple stage inertial cascade impactor. At each stage, particles larger than the cut point of the stage are collected on the impaction plate while smaller particles pass through to the next stage. This continues through the cascade impactor until the smallest particles are collected on the after filter. At Downey, a size range of 10um to 0um was collected (10.0-2.5um, 2.5-1.0um, 1.0-0.32um, 0.32-0um). Most of the 10.0-2.5um size range samples were eliminated at Claremont, Riverside, Rubidoux, and USC because this size range was collected using the Partisol sampler. All samples were analyzed using X-ray florescence and mass concentration analysis at an independent laboratory.     The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin. The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_LOS_ANGELES_MOUDI_DATA_1",
         "title": "NARSTO EPA Supersite (SS) Los Angeles Size-Fractionated Particulate Matter (PM) Composition - micro-orifice uniform deposit impactors (MOUDI) Data",
@@ -138644,6 +141712,32 @@
         "description": "NARSTO_EPA_SS_LOS_ANGELES_PARTISOL_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Particulate Matter (PM) 2.5-10 Composition and Mass Data product. Data was collected using Partisol Model 2025-D samplers between late 2000 and late 2003 from sites at Downey, Claremont, Riverside, Rubidoux, and the University of Southern California (USC). Samples were collected episodically, frequently for a 24-hour per period, but in some cases multiple samples were collected over the course of a day. Element/metals, nitrate/sulfate ion, and mass concentration data were obtained. The Partisol is a dichotomous sequential multi-filter air sampler. It uses a virtual impactor to divide the air stream to facilitate the collection of fine (0.0-2.5um) and coarse (2.5-10.0um) particles onto a filter media over a pre-programmed collection period. The coarse fraction was analyzed using X-ray fluorescence and mass concentration analysis. Ion chromatography and mass concentration analyses were performed on the fine fraction. The overall objective of the Southern California Supersite (SCS) was to conduct research and monitoring that contributed to a better understanding of the measurement, sources, size distribution, chemical composition, physical state, spatial and temporal variability, and health effects of suspended PM in the Los Angeles Basin (LAB). Intensive aerosol measurements, well beyond the traditional PM2.5 mass, sulfate and nitrate concentrations, were conducted in several areas of the LAB. These included particle number concentrations, size distributions, and detailed PM chemical composition as a function of particle size. Sampling locations were chosen to provide wide geographical and seasonal coverage, including urban source sites and downwind receptor sites.     The primary sampling facility, a mobile Particle Instrumentation Unit (PIU), was deployed to several locations to conduct a wide range of PM measurements. Sampling in each site lasted for 6-12 months. Intensive PM measurements were also conducted up and downwind of several freeways of the LAB, to characterize near-roadway exposure environments and to support several in vivo and in vitro health studies. The monitoring activities of the SCS were linked with toxicology studies in the LAB using a mobile PM Concentrator facility to investigate health effects associated with exposures to ultrafine, fine and coarse particles. Finally, the PIU facility was successfully used as a platform to develop, test, and evaluate numerous PM measurement instruments and sampling technologies, including several monitors for semi-continuous size fractionated mass and chemistry, personal PM exposure monitors, particle concentration technologies, and particle counting devices.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_LOS_ANGELES_PARTISOL_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Los Angeles Particulate Matter (PM) 2.5-10 Composition and Mass Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-10-03",
+        "end_date": "2003-09-19",
+        "bbox": "-118.16, 33.93, -117.33, 34.13",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971219-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971219-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_LOS_ANGELES_PARTISOL_DATA_1",
+        "description": "NARSTO_EPA_SS_LOS_ANGELES_PARTISOL_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Particulate Matter (PM) 2.5-10 Composition and Mass Data product. Data was collected using Partisol Model 2025-D samplers between late 2000 and late 2003 from sites at Downey, Claremont, Riverside, Rubidoux, and the University of Southern California (USC). Samples were collected episodically, frequently for a 24-hour per period, but in some cases multiple samples were collected over the course of a day. Element/metals, nitrate/sulfate ion, and mass concentration data were obtained. The Partisol is a dichotomous sequential multi-filter air sampler. It uses a virtual impactor to divide the air stream to facilitate the collection of fine (0.0-2.5um) and coarse (2.5-10.0um) particles onto a filter media over a pre-programmed collection period. The coarse fraction was analyzed using X-ray fluorescence and mass concentration analysis. Ion chromatography and mass concentration analyses were performed on the fine fraction. The overall objective of the Southern California Supersite (SCS) was to conduct research and monitoring that contributed to a better understanding of the measurement, sources, size distribution, chemical composition, physical state, spatial and temporal variability, and health effects of suspended PM in the Los Angeles Basin (LAB). Intensive aerosol measurements, well beyond the traditional PM2.5 mass, sulfate and nitrate concentrations, were conducted in several areas of the LAB. These included particle number concentrations, size distributions, and detailed PM chemical composition as a function of particle size. Sampling locations were chosen to provide wide geographical and seasonal coverage, including urban source sites and downwind receptor sites.     The primary sampling facility, a mobile Particle Instrumentation Unit (PIU), was deployed to several locations to conduct a wide range of PM measurements. Sampling in each site lasted for 6-12 months. Intensive PM measurements were also conducted up and downwind of several freeways of the LAB, to characterize near-roadway exposure environments and to support several in vivo and in vitro health studies. The monitoring activities of the SCS were linked with toxicology studies in the LAB using a mobile PM Concentrator facility to investigate health effects associated with exposures to ultrafine, fine and coarse particles. Finally, the PIU facility was successfully used as a platform to develop, test, and evaluate numerous PM measurement instruments and sampling technologies, including several monitors for semi-continuous size fractionated mass and chemistry, personal PM exposure monitors, particle concentration technologies, and particle counting devices.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
+    {
+        "id": "NARSTO_EPA_SS_LOS_ANGELES_PM25_CARBON_1",
+        "title": "NARSTO EPA_SS_LOS_ANGELES PM2.5 Particulate Carbon",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2002-01-14",
+        "end_date": "2002-05-24",
+        "bbox": "-117.7, 34.13, -117.7, 34.13",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971250-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971250-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibmFyc3RvIGVwYV9zc19sb3NfYW5nZWxlcyBhZXJvZHluYW1pYyBwYXJ0aWNsZSBzaXplIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIk5BUlNUT19FUEFfU1NfTE9TX0FOR0VMRVNfQVBTX0RBVEFcIixcIjFcIiwzMjI4OTcwOTc5LDFdIiwidW1tIjoiW1wibmFyc3RvIGVwYV9zc19sb3NfYW5nZWxlcyBhZXJvZHluYW1pYyBwYXJ0aWNsZSBzaXplIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIk5BUlNUT19FUEFfU1NfTE9TX0FOR0VMRVNfQVBTX0RBVEFcIixcIjFcIiwzMjI4OTcwOTc5LDFdIn0%3D/NARSTO_EPA_SS_LOS_ANGELES_PM25_CARBON_1",
+        "description": "The NARSTO_EPA_SS_LOS_ANGELES_PM25_CARBON data were collected between January and May 2002. At Claremont (Los Angeles County, California), Cascaded Integrated Collection and Vaporization System for Particulate Carbon (ICVS for Carbon) was used in a mobile trailer to collect PM2.5 particulate carbon data during January 14, 2002 to May 24, 2002. The ICVS for Carbon measured PM2.5 particulate carbon data that cover sizes from 0.1-2.5um in every 10 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_LOS_ANGELES_PM25_CARBON_1",
         "title": "NARSTO EPA_SS_LOS_ANGELES PM2.5 Particulate Carbon",
@@ -138657,6 +141751,19 @@
         "description": "The NARSTO_EPA_SS_LOS_ANGELES_PM25_CARBON data were collected between January and May 2002. At Claremont (Los Angeles County, California), Cascaded Integrated Collection and Vaporization System for Particulate Carbon (ICVS for Carbon) was used in a mobile trailer to collect PM2.5 particulate carbon data during January 14, 2002 to May 24, 2002. The ICVS for Carbon measured PM2.5 particulate carbon data that cover sizes from 0.1-2.5um in every 10 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_LOS_ANGELES_PM25_NITRATE_1",
+        "title": "NARSTO EPA_SS_LOS_ANGELES PM2.5 Particulate Nitrate",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-07-11",
+        "end_date": "2002-01-11",
+        "bbox": "-117.7, 33.99, -117.41, 34.13",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971223-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971223-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibmFyc3RvIGVwYV9zc19sb3NfYW5nZWxlcyBhZXJvZHluYW1pYyBwYXJ0aWNsZSBzaXplIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIk5BUlNUT19FUEFfU1NfTE9TX0FOR0VMRVNfQVBTX0RBVEFcIixcIjFcIiwzMjI4OTcwOTc5LDFdIiwidW1tIjoiW1wibmFyc3RvIGVwYV9zc19sb3NfYW5nZWxlcyBhZXJvZHluYW1pYyBwYXJ0aWNsZSBzaXplIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIk5BUlNUT19FUEFfU1NfTE9TX0FOR0VMRVNfQVBTX0RBVEFcIixcIjFcIiwzMjI4OTcwOTc5LDFdIn0%3D/NARSTO_EPA_SS_LOS_ANGELES_PM25_NITRATE_1",
+        "description": "The NARSTO_EPA_SS_LOS_ANGELES_PM25_NITRATE data were collected between July 2001 and January 2002. At Claremont and Rubidoux (Los Angeles County, California), Cascaded Integrated Collection and Vaporization System for Particulate Nitrate (ICVS for Nitrate) was used in a mobile trailer to collect PM2.5 particulate nitrate data during July 11, 2001 to January 11, 2002. The ICVS for Nitrate measured PM2.5 particulate nitrate data that cover sizes from 0.1-2.5um in every 10 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_LOS_ANGELES_PM25_NITRATE_1",
         "title": "NARSTO EPA_SS_LOS_ANGELES PM2.5 Particulate Nitrate",
@@ -138670,6 +141777,19 @@
         "description": "The NARSTO_EPA_SS_LOS_ANGELES_PM25_NITRATE data were collected between July 2001 and January 2002. At Claremont and Rubidoux (Los Angeles County, California), Cascaded Integrated Collection and Vaporization System for Particulate Nitrate (ICVS for Nitrate) was used in a mobile trailer to collect PM2.5 particulate nitrate data during July 11, 2001 to January 11, 2002. The ICVS for Nitrate measured PM2.5 particulate nitrate data that cover sizes from 0.1-2.5um in every 10 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_LOS_ANGELES_SMPS_DATA_1",
+        "title": "NARSTO EPA_SS_LOS_ANGELES Scanning Mobility Particle Size Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-12-08",
+        "end_date": "2002-02-22",
+        "bbox": "-118.2, 33.9, -117.3, 34.2",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228970880-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228970880-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibmFyc3RvIGVwYV9zc19sb3NfYW5nZWxlcyBhZXJvZHluYW1pYyBwYXJ0aWNsZSBzaXplIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIk5BUlNUT19FUEFfU1NfTE9TX0FOR0VMRVNfQVBTX0RBVEFcIixcIjFcIiwzMjI4OTcwOTc5LDFdIiwidW1tIjoiW1wibmFyc3RvIGVwYV9zc19sb3NfYW5nZWxlcyBhZXJvZHluYW1pYyBwYXJ0aWNsZSBzaXplIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIk5BUlNUT19FUEFfU1NfTE9TX0FOR0VMRVNfQVBTX0RBVEFcIixcIjFcIiwzMjI4OTcwOTc5LDFdIn0%3D/NARSTO_EPA_SS_LOS_ANGELES_SMPS_DATA_1",
+        "description": "The NARSTO_EPA_SS_LOS_ANGELES_SMPS_DATA were collected between December 2000 and February 2002. At Claremont, Downey, Riverside, Rubidoux (Los Angeles County, California), TSI Scanning mobility particle sizer (SMPS) was used in a mobile trailer to collect size characteristics of particles ranging from about 0.014 to 0.673 mm during December 8, 2000 to February 22, 2002. The SMPS measured particle count concentrations for 54 to 108 channels that cover sizes from 0.014 to 0.673 mm in every 15 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_LOS_ANGELES_SMPS_DATA_1",
         "title": "NARSTO EPA_SS_LOS_ANGELES Scanning Mobility Particle Size Data",
@@ -138696,6 +141816,19 @@
         "description": "NARSTO_EPA_SS_LOS_ANGELES_TEOM_PM25_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Tapered-Element Oscillating Microbalance (TEOM) Particulate Matter (PM) 2.5 Mass Concentration Data. It was collected between December 2000 and September 2002 using a Tapered-Element Oscillating Microbalance (TEOM). At Downey and Riverside (Los Angeles County, California), the standard TEOM Model 1400a was used in a mobile trailer to collect PM2.5 mass concentration data every 30 minutes during December 19, 2000 to May 22, 2001. At Claremont and Rubidoux (Los Angeles County, California), Differential TEOM (proto-type) was used in a mobile trailer to collect hourly PM2.5 mass concentration data during August 17, 2001 to September 3, 2002. The overall objective of the Los Angeles Super Site in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.    The U.S. EPA Particulate Matter (PM) Super Sites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_LOS_ANGELES_TEOM_PM25_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Los Angeles Tapered-Element Oscillating Microbalance (TEOM) Particulate Matter (PM) 2.5 Mass Concentration Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-12-19",
+        "end_date": "2002-09-03",
+        "bbox": "-118.16, 33.92, -117.33, 34.13",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971304-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971304-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_LOS_ANGELES_TEOM_PM25_DATA_1",
+        "description": "NARSTO_EPA_SS_LOS_ANGELES_TEOM_PM25_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Tapered-Element Oscillating Microbalance (TEOM) Particulate Matter (PM) 2.5 Mass Concentration Data. It was collected between December 2000 and September 2002 using a Tapered-Element Oscillating Microbalance (TEOM). At Downey and Riverside (Los Angeles County, California), the standard TEOM Model 1400a was used in a mobile trailer to collect PM2.5 mass concentration data every 30 minutes during December 19, 2000 to May 22, 2001. At Claremont and Rubidoux (Los Angeles County, California), Differential TEOM (proto-type) was used in a mobile trailer to collect hourly PM2.5 mass concentration data during August 17, 2001 to September 3, 2002. The overall objective of the Los Angeles Super Site in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.    The U.S. EPA Particulate Matter (PM) Super Sites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_NEW_YORK_AIR_CHEM_PM_MET_DATA_1",
         "title": "NARSTO EPA Supersite (SS) New York Air Chemistry, Particulate Matter, and Meteorological Data",
@@ -138709,6 +141842,19 @@
         "description": "NARSTO_EPA_SS_NEW_YORK_AIR_CHEM_PM_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) New York Air Chemistry, Particulate Matter, and Meteorological Data. It was collected between 2001 and 2006 during the PM2.5 Technology Assessment and Characterization Study in New York State (PMTACS-NY). Data files from all components of the PMTACS-NY Supersite program are archived in this single data set. The PMTACS-NY Supersite program provided a unique and unparalleled opportunity to enhance our understanding of ozone/PM2.5-precursor relationships and track progress in current precursor emission control programs and assess their effectiveness in achieving expected air quality responses. The impact of this research is highly significant, providing a sound scientific basis for informed effective decisions in the management of air quality in New York and significant benefit to its citizens - both environmentally and economically. The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_NEW_YORK_AIR_CHEM_PM_MET_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) New York Air Chemistry, Particulate Matter, and Meteorological Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2000-01-01",
+        "end_date": "2006-01-01",
+        "bbox": "-77.21, 40.7, -73.7, 44.39",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971221-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971221-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibWlzciBub24tb3JkZXJhYmxlIG1pc3FhZlwiLFwiTEFSQ19DTE9VRFwiLFwiTUlTUUFGXCIsXCIxXCIsMjkyNzc5MDU3NywyXSIsInVtbSI6IltcIm1pc3Igbm9uLW9yZGVyYWJsZSBtaXNxYWZcIixcIkxBUkNfQ0xPVURcIixcIk1JU1FBRlwiLFwiMVwiLDI5Mjc3OTA1NzcsMl0ifQ%3D%3D/NARSTO_EPA_SS_NEW_YORK_AIR_CHEM_PM_MET_DATA_1",
+        "description": "NARSTO_EPA_SS_NEW_YORK_AIR_CHEM_PM_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) New York Air Chemistry, Particulate Matter, and Meteorological Data. It was collected between 2001 and 2006 during the PM2.5 Technology Assessment and Characterization Study in New York State (PMTACS-NY). Data files from all components of the PMTACS-NY Supersite program are archived in this single data set. The PMTACS-NY Supersite program provided a unique and unparalleled opportunity to enhance our understanding of ozone/PM2.5-precursor relationships and track progress in current precursor emission control programs and assess their effectiveness in achieving expected air quality responses. The impact of this research is highly significant, providing a sound scientific basis for informed effective decisions in the management of air quality in New York and significant benefit to its citizens - both environmentally and economically. The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_PITTSBURGH_GAS_PM_PROPERTY_DATA_1",
         "title": "NARSTO EPA Supersite (SS) Pittsburgh Gas Concentration and Particulate matter (PM) Physical Properties Data",
@@ -138722,6 +141868,19 @@
         "description": "NARSTO_EPA_SS_PITTSBURGH_GAS_PM_PROPERTY_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite Pittsburgh Gas Concentration and Particulate matter (PM) Physical Properties Data product. Data was obtained between May 23, 2001 and September 1, 2002 during the Pittsburgh Air Quality Study (PAQS). The data set provides Particulate Matter Composition Data of the following types:   1) Total, Organic, and Hydrogen Peroxide data   2) Filter based measurement of PM10 and PM2.5 Mass concentration using a Dichotomous sampler   3) Epiphaniometer total particle active surface area  4) Filter based measurement of PM2.5 Mass using the Federal Reference Method  5) Integrating nephelometer based measurement of PM2.5 light scattering  6) TSI Scanning Mobility Particle Sizer (Long-column/model 3936L10)  7) Measurements of PM mass size distribution using a MOUDI cascade impactor  8) In-situ VOC measurements by pre-concentration and gc/msd/fid9) Surface air concentrations of O3, NO, NOx, SO2, CO, and PM2.5 mass.     Pittsburgh Air Quality Study (PAQS), along with the Pittsburgh Supersite Program, was a comprehensive, multi-disciplinary investigation to characterize the ambient PM in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The Pittsburgh supersite was designed to achieve several objectives: to determine the physical and chemical characteristics of PM in the Pittsburgh region; to develop and evaluate the next generation of atmospheric aerosol monitoring techniques; to update emission profiles for important regional sources; to quantify the impact of the various sources on the local PM concentrations; and to predict changes in the PM characteristics due to proposed changes in emissions. The last objective was based on concurrent modeling studies and was designed to support the development of regulations. These objectives were addressed through four components of the research: (1) ambient monitoring at a central site and a set of satellite sites in the region; (2) an instrument development and evaluation study; (3) a data analysis and synthesis component; and (4) a comprehensive modeling component.     The central supersite was located on a grassy hill in a large urban park adjacent to the Carnegie Mellon University campus, approximately 6km east of downtown Pittsburgh. It was separated from the city in the predominant upwind direction (south and west) by roughly 1km of parkland. It was at least several hundred meters from any other major source of air pollution: the site was positioned approximately 50m past the end of a dead end street, and several hundred meters from the nearest heavily traveled street. Five additional sites were operated as Satellite sites to character the spatial variation of the PM. The measurement campaign lasted for 14 months (July 2001-September 2002). Intensive monitoring was performed during two periods, from 1 July to 3 August, 2001 (ESP01) and 1 January to 15 January, 2002 (ESP02). Baseline monitoring was conducted for the rest of the study. Baseline measurements included daily filter samples for fine particle mass and composition (OC/EC, major ions, elemental composition). The U.S. EPA Particulate Matter (PM) super sites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_PITTSBURGH_GAS_PM_PROPERTY_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Pittsburgh Gas Concentration and Particulate matter (PM) Physical Properties Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-05-23",
+        "end_date": "2002-09-01",
+        "bbox": "-79.94, 40.44, -79.94, 40.44",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971299-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971299-LARC_CLOUD.html",
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+        "description": "NARSTO_EPA_SS_PITTSBURGH_GAS_PM_PROPERTY_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite Pittsburgh Gas Concentration and Particulate matter (PM) Physical Properties Data product. Data was obtained between May 23, 2001 and September 1, 2002 during the Pittsburgh Air Quality Study (PAQS). The data set provides Particulate Matter Composition Data of the following types:   1) Total, Organic, and Hydrogen Peroxide data   2) Filter based measurement of PM10 and PM2.5 Mass concentration using a Dichotomous sampler   3) Epiphaniometer total particle active surface area  4) Filter based measurement of PM2.5 Mass using the Federal Reference Method  5) Integrating nephelometer based measurement of PM2.5 light scattering  6) TSI Scanning Mobility Particle Sizer (Long-column/model 3936L10)  7) Measurements of PM mass size distribution using a MOUDI cascade impactor  8) In-situ VOC measurements by pre-concentration and gc/msd/fid9) Surface air concentrations of O3, NO, NOx, SO2, CO, and PM2.5 mass.     Pittsburgh Air Quality Study (PAQS), along with the Pittsburgh Supersite Program, was a comprehensive, multi-disciplinary investigation to characterize the ambient PM in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The Pittsburgh supersite was designed to achieve several objectives: to determine the physical and chemical characteristics of PM in the Pittsburgh region; to develop and evaluate the next generation of atmospheric aerosol monitoring techniques; to update emission profiles for important regional sources; to quantify the impact of the various sources on the local PM concentrations; and to predict changes in the PM characteristics due to proposed changes in emissions. The last objective was based on concurrent modeling studies and was designed to support the development of regulations. These objectives were addressed through four components of the research: (1) ambient monitoring at a central site and a set of satellite sites in the region; (2) an instrument development and evaluation study; (3) a data analysis and synthesis component; and (4) a comprehensive modeling component.     The central supersite was located on a grassy hill in a large urban park adjacent to the Carnegie Mellon University campus, approximately 6km east of downtown Pittsburgh. It was separated from the city in the predominant upwind direction (south and west) by roughly 1km of parkland. It was at least several hundred meters from any other major source of air pollution: the site was positioned approximately 50m past the end of a dead end street, and several hundred meters from the nearest heavily traveled street. Five additional sites were operated as Satellite sites to character the spatial variation of the PM. The measurement campaign lasted for 14 months (July 2001-September 2002). Intensive monitoring was performed during two periods, from 1 July to 3 August, 2001 (ESP01) and 1 January to 15 January, 2002 (ESP02). Baseline monitoring was conducted for the rest of the study. Baseline measurements included daily filter samples for fine particle mass and composition (OC/EC, major ions, elemental composition). The U.S. EPA Particulate Matter (PM) super sites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
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         "id": "NARSTO_EPA_SS_PITTSBURGH_MET_DATA_1",
         "title": "NARSTO EPA Supersite (SS) Pittsburgh Meteorological Data",
@@ -138735,6 +141894,32 @@
         "description": "NARSTO_EPA_SS_PITTSBURGH_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Meteorological Data product. It was obtained between July 1, 2001 and November 1, 2002 during the Pittsburgh Supersite Program. Ambient monitoring at the central super site and a set of satellite sites in the Pittsburgh region included numerous meteorological measurements. Meteorological parameters measured during the sampling period included temperature, relative humidity, precipitation, wind speed and direction, UV intensity, and solar intensity. The Pittsburgh Super Site Program was a comprehensive, multi-disciplinary investigation to characterize the ambient Particulate Matter (PM) in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The central super site was located next to the Carnegie Mellon University campus near downtown Pittsburgh. Five additional sites served as Satellite sites. The measurement campaign lasted for 18 months (May 2001-October 2002).     The specific objectives were to: Characterize the PM with regard to size, surface, and volume distribution; chemical composition as a function of size and on a single particle basis; temporal and spatial variability. Develop and evaluate the current and next generation atmospheric aerosol monitoring techniques including single particle measurements, continuous measurements, ultra-fine aerosol measurements, improved organic component characterization, and others. Quantify the impact of the various sources of PM concentrations in the area including transportation, power plants, natural, etc. Combine the ambient monitoring study with the proposed indoor, health, and modeling studies to elucidate of the links between PM characteristics and their health impacts in this area.     The EPA PM Super sites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_PITTSBURGH_MET_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Pittsburgh Meteorological Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-07-01",
+        "end_date": "2002-11-01",
+        "bbox": "-79.94, 40.44, -79.94, 40.44",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971188-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971188-LARC_CLOUD.html",
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+        "description": "NARSTO_EPA_SS_PITTSBURGH_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Meteorological Data product. It was obtained between July 1, 2001 and November 1, 2002 during the Pittsburgh Supersite Program. Ambient monitoring at the central super site and a set of satellite sites in the Pittsburgh region included numerous meteorological measurements. Meteorological parameters measured during the sampling period included temperature, relative humidity, precipitation, wind speed and direction, UV intensity, and solar intensity. The Pittsburgh Super Site Program was a comprehensive, multi-disciplinary investigation to characterize the ambient Particulate Matter (PM) in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The central super site was located next to the Carnegie Mellon University campus near downtown Pittsburgh. Five additional sites served as Satellite sites. The measurement campaign lasted for 18 months (May 2001-October 2002).     The specific objectives were to: Characterize the PM with regard to size, surface, and volume distribution; chemical composition as a function of size and on a single particle basis; temporal and spatial variability. Develop and evaluate the current and next generation atmospheric aerosol monitoring techniques including single particle measurements, continuous measurements, ultra-fine aerosol measurements, improved organic component characterization, and others. Quantify the impact of the various sources of PM concentrations in the area including transportation, power plants, natural, etc. Combine the ambient monitoring study with the proposed indoor, health, and modeling studies to elucidate of the links between PM characteristics and their health impacts in this area.     The EPA PM Super sites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
+    {
+        "id": "NARSTO_EPA_SS_PITTSBURGH_PM_COMPOSITION_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Pittsburgh Particulate Matter (PM) Composition Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-06-29",
+        "end_date": "2002-09-29",
+        "bbox": "-79.94, 40.44, -79.94, 40.44",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3228971308-LARC_CLOUD.umm_json",
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+        "description": "NARSTO_EPA_SS_PITTSBURGH_PM_COMPOSITION_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Particulate Matter (PM) Composition Data. It was obtained between June 30 and September 1, 2001 during the Pittsburgh Air Quality Study (PAQS). The data set provides PM Composition Data of the following types:1) PM2.5 nitrate and PM2.5 sulfate.2) Semi-Continuous Organic and Elemental Carbon Measurements.3) Air concentrations of water soluble PM2.5 aerosol species and water soluble gases, as measured with the CMU steam sampler - IC combination.4) Manual filter-based PM2.5 element measurements from microwave decomposition of filters followed by Inductively Coupled Plasma Mass Spectrometer analysis.5) Manual filter-based PM10 element measurements from microwave decomposition of filters and Inductively Coupled Plasma Mass Spectrometer analysis.6) Manual filter-based PM2.5 inorganic composition with analysis performed using ion chromatography.7) Manual filter-based PM2.5 organic and elemental carbon measurements with analysis performed using a Thermal Optical Transmission carbon analyzer.8) Measurements of PM composition size distributions using a MOUDI cascade impactor.9) PM2.5 organic and elemental carbon concentrations from an activated carbon denuder/quartz filter/charcoal impregnated fiber filter backup combination. Quartz filters analyzed using a Thermal/Optical transmittance carbon analyzer.10) Fog chemistry dataPAQS, along with the Pittsburgh Supersite Program, was a comprehensive, multi-disciplinary investigation to characterize the ambient PM in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The Pittsburgh Supersite was designed to achieve several objectives: to determine the physical and chemical characteristics of PM in the Pittsburgh region; to develop and evaluate the next generation of atmospheric aerosol monitoring techniques; to update emission profiles for important regional sources; to quantify the impact of the various sources on the local PM concentrations; and to predict changes in the PM characteristics due to proposed changes in emissions. The last objective was based on concurrent modeling studies and was designed to support the development of regulations. These objectives were addressed through four components of the research: (1) ambient monitoring at a central site and a set of satellite sites in the region; (2) an instrument development and evaluation study; (3) a data analysis and synthesis component; and (4) a comprehensive modeling component.    The central supersite was located on a grassy hill in a large urban park adjacent to the Carnegie Mellon University campus, approximately 6km east of downtown Pittsburgh. It was separated from the city in the predominant upwind direction (south and west) by roughly 1km of parkland. It was at least several hundred meters from any other major source of air pollution: the site was positioned approximately 50m past the end of a dead end street, and several hundred meters from the nearest heavily traveled street. Five additional sites were operated as Satellite sites to character the spatial variation of the PM. The measurement campaign lasted for 14 months (July 2001-September 2002). Intensive monitoring was performed during two periods, from 1 July to 3 August 2001 (ESP01) and 1 January to 15 January, 2002 (ESP02). Baseline monitoring was conducted for the rest of the study. Baseline measurements included daily filter samples for fine particle mass and composition (OC/EC, major ions, elemental composition). The U.S. EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
+    },
     {
         "id": "NARSTO_EPA_SS_PITTSBURGH_PM_COMPOSITION_DATA_1",
         "title": "NARSTO EPA Supersite (SS) Pittsburgh Particulate Matter (PM) Composition Data",
@@ -138761,6 +141946,19 @@
         "description": "NARSTO_EPA_SS_PITTSBURGH_RAPID_SPMS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Rapid Single-Particle Mass Spectrometer Data product. It was obtained between September 20 and December 27, 2001 during the Pittsburgh Air Quality Study (PAQS). During 12 months, starting September 2001, individual aerosol particles were sized and analyzed using a Rapid Single-particle Mass Spectrometer (RSMS) in Pittsburgh. RSMS aerodynamically focuses one particle size at a time to the source region of a mass spectrometer and employs a 193 nm excimer laser to desorb and ionize the particle components. The ions are analyzed in a dual time-of-flight mass spectrometer and the spectrum is digitally recorded. Spectra are only saved if the ion peak in the spectrum is above a threshold level. Background spectra were determined and flagged. Particle size scans were initiated periodically, and each size was sampled until 30 particle hits were obtained, unless the sampling time became excessive. Aerodynamic particle sizes ranged from about 40 to 1300 nm and were partitioned into nine discrete size classes logarithmically spaced, roughly, over the range. Single particle data were valuable because a) they were collected and analyzed real time so have excellent temporal resolution, b) the particle-to-particle composition variations (external mixing properties) could be assessed, and c) key particle sources were easily identified since the particles retain source characteristics. The data resulting from these measurements consist of an aerodynamic particle size and a positive and negative mass spectrum of the components for each particle, along with the date and time of measurement and other incidental measurement parameters such as the laser pulse energy.    The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
         "license": "proprietary"
     },
+    {
+        "id": "NARSTO_EPA_SS_PITTSBURGH_RAPID_SPMS_DATA_1",
+        "title": "NARSTO EPA Supersite (SS) Pittsburgh Rapid Single-Particle Mass Spectrometer Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-09-20",
+        "end_date": "2001-12-27",
+        "bbox": "-79.94, 40.43, -79.94, 40.43",
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+        "description": "NARSTO_EPA_SS_PITTSBURGH_RAPID_SPMS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Rapid Single-Particle Mass Spectrometer Data product. It was obtained between September 20 and December 27, 2001 during the Pittsburgh Air Quality Study (PAQS). During 12 months, starting September 2001, individual aerosol particles were sized and analyzed using a Rapid Single-particle Mass Spectrometer (RSMS) in Pittsburgh. RSMS aerodynamically focuses one particle size at a time to the source region of a mass spectrometer and employs a 193 nm excimer laser to desorb and ionize the particle components. The ions are analyzed in a dual time-of-flight mass spectrometer and the spectrum is digitally recorded. Spectra are only saved if the ion peak in the spectrum is above a threshold level. Background spectra were determined and flagged. Particle size scans were initiated periodically, and each size was sampled until 30 particle hits were obtained, unless the sampling time became excessive. Aerodynamic particle sizes ranged from about 40 to 1300 nm and were partitioned into nine discrete size classes logarithmically spaced, roughly, over the range. Single particle data were valuable because a) they were collected and analyzed real time so have excellent temporal resolution, b) the particle-to-particle composition variations (external mixing properties) could be assessed, and c) key particle sources were easily identified since the particles retain source characteristics. The data resulting from these measurements consist of an aerodynamic particle size and a positive and negative mass spectrum of the components for each particle, along with the date and time of measurement and other incidental measurement parameters such as the laser pulse energy.    The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.",
+        "license": "proprietary"
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         "title": "NARSTO_EPA_SS_ST_LOUIS Air Chemistry, Particulate Matter, Met Data",
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         "description": "This dataset provides a presentation that highlights the role NASA research and researchers played in developing a wide range of significant, quantitative ecological applications of satellite data. The presentation by Dr Diane E. Wickland, former NASA Terrestrial Ecology Program Manager and Lead for NASA Carbon Cycle and Ecosystems Focus Area, provides a top-level overview from her perspective of the development and evolution of the program. Dr Wickland joined NASA in 1985 to manage a newly formed Terrestrial Ecosystems Program. Along with other NASA program managers, she was charged with reorienting the program to be less empirical and have a greater focus on first principles, and to prepare for a next generation of earth-observing satellites. As an ecologist, she thought that focusing on important ecological questions and recruiting practicing ecologists to the program would facilitate such a change in directions. The presentation emphasizes the early years of U.S. satellite remote sensing and covers a few highlights after 2005.",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIiwidW1tIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIn0%3D/ND01_Age_Maps_1184_1",
         "description": "This data set provides classified land cover transition images (maps) derived from Landsat Thematic Mapper (TM) and Multispectral Scanner (MSS) imagery for Ariquemes, Luiza, and Ji-Paranao areas in Rondonia, Brazil, at 30-m resolution. Images depict the age relative to the year 2000, of cleared land from the date the land was cut, to the date when primary forests transitioned into nonforest class (for example,  25 = cut by 1975, or 25 years before the year 2000). Temporal changes in three regions are represented by 31 TM scenes acquired between 1984 and 1999, and a pair of MSS scenes from 1975 and 1978. Data are provided as three GeoTiff (*.tif) images, one for each of the three areas. ",
         "license": "proprietary"
     },
@@ -140460,7 +143658,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412277-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412277-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIiwidW1tIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIn0%3D/ND01_Georectified_Products_1165_1",
         "description": "This data set provides a 27-year land cover time series of 28.5-m resolution products derived from Landsat images for 80% of Rondonia, Brazil, for the period 1984 to 2010. Selected Landsat Thematic Mapper (TM) and Landsat Multispectral Scanner (MSS) images from the years 1984 through 2010, for seven path/row scenes (PortoVelho, Ariquemes, Jiparana, Luiza (or Urupa), Cacoal, Chapuingaia, and Vilhena) were mosaicked for each year. Each mosaicked image was georectified and classified into seven land-cover classes--savanna/rock, pasture, secondary forest, primary forest, cloud, urban, or water. This 27-year time series allows the long-term assessment of land-cover variation across the state. There are 27 GeoTIFF image files (.tif) and one accompanying .xml file for each GeoTIFF file, compressed and available as *.zip files, one file for each year for the period 1984-2010, with this data set.",
         "license": "proprietary"
     },
@@ -140473,7 +143671,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781624044-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781624044-ORNL_CLOUD.html",
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         "description": "This data set provides a time series of land cover classifications for Ariquemes, Ji-Parana, and Luiza, research sites in Rondonia, Brazil. The land cover classifications are derived from the Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) sensors.  The time period ranges from June 1975 through June 2000, but all areas do not have images for all the years. The images were classified into the following categories: 1. Primary upland forest, representing the dominant natural vegetation in the area; 2. Pasture and green pasture; 3. Second growth, dominated by small trees and shrubs with low species diversity and biomass relative to primary forest; 4. Soil/urban; 5. Rock/savanna; 6. Water;  and 7. Cloud and smoke obscured. In addition, areas covered by rock and savanna were mapped and all areas outside of the overlap zone between all dates within a scene, and scene edges, were masked.There are 75 GeoTIFF files (.tif) with this data set which includes: classified images (*ful.tif) and a corresponding image mask (*ful_mask .tif) for each date (with the exception of 1978 and 1996 images for Ji-Parana, for which there are only ful_mask.tif files), and three mask files for rock, savannah, and scene edges, for each area. By area, there are 31 images for Ariquemes, 23 images for Ji-Parana, and 21 images for Luiza. ",
         "license": "proprietary"
     },
@@ -140486,7 +143684,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781335068-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781335068-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIiwidW1tIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIn0%3D/ND01_Pasture_Nutrients_1135_1",
         "description": "This data set provides soil physical and chemical properties, and grass nutrient measurements of samples collected from 17 pasture sites located within the state of Rondonia in the southwestern Brazilian Amazon. Soil data includes bulk density, class, texture, and measurements of carbon (C), phosphorus (P), calcium (Ca), magnesium (mg), and potassium (K) concentrations.  Foliar data includes nitrogen (N), P, Ca, Mg, and K concentrations.The 17 pasture sites were cattle ranches selected within the region between Porto Velho and Presidente Medici of Rondonia. Four of the ranches with Ultisols support dairy cattle, and the rest have beef cattle pastures dispersed across three soil orders: Oxisols, Ultisols, and Alfisols.  Nearby primary forest sites were also sampled to provide data on the original soil properties for each soil order. Soil samples were collected in May 2003, July through August 2003, and May 2004, which covered the late rainy season (May) and the dry season (July through August). Grass species sampled included Brachiaria brizantha, Brachiaria decumbens, B. brizantha, and Pennestum clandestinum, and represented three phenologically distinct grass materials: wet-season live grass, collected in May 2004, dry-season live grass and dry-season senesced grass, both collected between the end of July and the beginning of August 2003. There are 4 comma-delimited data files with this data set.",
         "license": "proprietary"
     },
@@ -140499,7 +143697,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781400518-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781400518-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIiwidW1tIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIn0%3D/ND01_Pasture_Spectra_1154_1",
         "description": "This data set provides the results of spectral reflectance (350 to 2,500 nm at 1-nm increments) and biophysical measurements on grass pastures in eight cattle ranches in the state of Rondonia, located in the southwestern Brazilian Amazon. The ranches are located near the cities of Porto Velho, Ariquemes, Ouro Preto, Ji-Parana, and Presidente Medici. Field measurements were collected in July and August 2003. The primary grass species sampled were Brachiaria brizantha and Brachiaria decumbens. Spectrometer measurements were taken at 5-m intervals along 100 m transects on the pastures - fourteen total transects. Vegetation was sampled at 20-m intervals along the transects. All standing biomass and litter on the soil surface were collected and separated into live and senesced biomass and then dried to calculate water content. Sixty-eight reflectance spectra coincided with grass biophysical samples.Note that the research was done on private lands in Rondonia, and to protect the privacy of those land owners no geographic information is associated with the reported measurements. Three data files are included: an ENVI spectral library file with reflectance data for 484 pasture sampling points, an ASCII comma-separated file with reflectance data for the 484 pasture sampling points, and an ASCII comma-separated file with the biophysical measurements.",
         "license": "proprietary"
     },
@@ -140512,7 +143710,7 @@
         "bbox": "-64.64, -12.5, -59.86, -7.83",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781593932-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781593932-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIiwidW1tIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIn0%3D/ND01_Registered_TM_MSS_1197_1",
         "description": "This data set provides a time series of Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) scenes for five (Path/Row) areas in Rondonia, Brazil. The scenes are from the period June 1975 through June 2000, but all areas do not have scenes for all the years. The areas and Landsat Path/Rows included are as follows: Ariquemes (P232,R67), Ji-Parana (P231, R67), Luiza (P231, R68), Cacoal (P230, R68), and Porto Velho (P232, R66). TM images are available for all five areas. Because of a paucity of digital Landsat MSS imagery from the 1970s, only two scenes could be included, a 1975 scene from Ariquemes and a 1978 scene from Ji-Parana. Each of the Landsat scenes has been coregistered to a Path/Row-specific georectified PRODES Landsat file obtained from the Brazilian Government's National Institute for Space Research (INPE) program. For each scene, the coregistration is accurate to within (plus or minus)1 pixel (30-m Landsat resolution) in most places. The five INPE PRODES Landsat scenes used in the georectification process are included with this data set. There are five compressed files (tar.gz format) with this data set. When expanded, each compressed file (which corresponds to one of the five areas) contains a directory for each scene with GeoTIFF files for individual Landsat bands, a text file of tie points, and another text file of slope and intercept values for converting radiance to reflectance. There are two dates for Landsat MSS scenes, 45 dates for TM scenes, and six dates for ETM+ scenes.",
         "license": "proprietary"
     },
@@ -140525,7 +143723,7 @@
         "bbox": "-64.64, -12.5, -59.86, -7.83",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781581040-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781581040-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIiwidW1tIjoiW1wibGJhLWVjbyBsYy0zOSBtb2RpcyBhY3RpdmUgZmlyZSBhbmQgZnJlcXVlbmN5IGRhdGEgZm9yIHNvdXRoIGFtZXJpY2E6IDIwMDAtMjAwN1wiLFwiT1JOTF9DTE9VRFwiLFwiTEMzOV9NT0RJU19GaXJlX1NBXzExODZcIixcIjFcIiwyNzgxNTc4NjM2LDJdIn0%3D/ND01_Spectral_Mixture_Models_1188_1",
         "description": "This data set provides fractional land cover type images for shade, green vegetation (GV), non-photosynthetic vegetation (NPV), and soil for the regions of JiParana, PortoVelho, Luiza, Ariquemes, and Cacoal in the state of Rondonia, Brazil, for the period 1984 to 2000. The images were derived with a spectral mixture analysis (SMA) of Landsat Thematic Mapper (TM) time series scenes for each of these areas. There were 249 TM scenes and one Landsat Multispectral Scanner (MSS) scene acquired for these analyses. The images are 30-m Landsat resolution and were georectified to the Brazilian space agency 1998 and 1999 PRODES imagery. There are 250 GeoTIIF image files (*.tif) in this data set. Files are grouped by region and year/month/day scene was taken. ",
         "license": "proprietary"
     },
@@ -140538,7 +143736,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780920003-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780920003-ORNL_CLOUD.html",
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         "description": "This data set provides the results of (1) synoptic streamwater sampling and analyses from numerous sites across Rondonia and (2) corresponding watershed characteristics derived from remote sensing and historical/available data sources. Sixty streams, in both forested and non-forested sites, were sampled once during the dry season in August of 1998 and 49 of the same streams were sampled again during the wet season in January-February of 1999. Analyses included sodium (Na), calcium (Ca), magnesium (Mg), potassium (K), silica (Si), chloride (Cl), sulfate, pH, and acid neutralizing capacity. Watershed characteristics, including soil cation content, pH, watershed lithology, area, percent deforested, and urban watershed population density, were derived and calculated from digitized soil maps and available soil profile analyses, digitized topographic maps, land use mosaics from Landsat Thematic Mapper (TM) images, and Brazilian census data. The objective of the study was to determine the relative influence of watershed soil exchangeable cation content, rock type, deforestation, and urban population density on stream concentrations of base cations, dissolved silicon, chloride and sulfate in both the dry and wet seasons in a humid tropical region undergoing regional land use transformation. There are three comma-delimited data files with this data set.",
         "license": "proprietary"
     },
@@ -140551,7 +143749,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781406353-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781406353-ORNL_CLOUD.html",
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         "description": "This data set provides estimates of watershed deforestation, as a proportion of the total area of watersheds, in Rondonia, Brazil for 1999. Deforestation maps were determined for the main agricultural and surrounding forested areas of Rondonia using multiple Landsat TM scenes (Biggs et al. 2008). Cumulative deforestation estimates were derived from this time series of Landsat scenes from 1975 to 1999. To obtain watershed-level estimates of deforestation, watershed boundaries and stream networks were delineated by a flow accumulation algorithm using a 90-m resolution digital elevation model (DEM) from NASA's Shuttle Radar Topography Mission (SRTM). The results were watersheds of seven Strahler stream orders (1-7) with stream networks that closely matched those of the 1:100,000 topographic maps for the area. The watershed boundaries, classified by stream order, were overlain on the time series of deforestation maps to determine the cumulative deforestation extent in 1999. This data set contains six ESRI ArcGIS shapefiles of the watershed boundaries for streams orders 2-7, the smallest watershed (second order) to the largest inclusive watershed (seventh order). The cumulative deforestation estimates, as a proportion of total area for each watershed, are available as a comma-delimited text file that can be related to the individual watershed boundary shapefiles. Cumulative deforestation data are available for first order streams, although not as a shapefile. There are six zipped ESRI ArcGIS shapefiles (*.zip) and one ASCII comma separated file with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777783116-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777783116-ORNL_CLOUD.html",
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         "description": "This data set contains soil emissions of nitric oxide (NO), carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4) measured in plots of a secondary-growth forest fertilization experiment located 6.5-km northwest of the town of Paragominas, Para, Brazil during 1999-2001. Control, pre-, and post-treatment plot trace gas emission results are reported in a single comma-separated file.A highly degraded former pasture with secondary-growth forest (capoeira -- fallow vegetation) at Fazenda Vitoria, 6.5-km northwest of the town of Paragominas, Para, was chosen for this fertilization experiment. Twelve 20m x 20m plots were established: three were fertilized with nitrogen (only), three were fertilized with phosphorus (only), and three were fertilized with both nitrogen and phosphorus. The remaining three plots served as the control for these treatments. Application of the fertilizers occurred Jan 19, 2000 and February 2001, at the beginning of the rainy season. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781403604-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781403604-ORNL_CLOUD.html",
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         "description": "This data set provides Landsat images of the county of Sao Francisco do Para located in the Bragantina region of Para, Brazil, the oldest agriculture frontier in Amazonia. These images are subsets for the municipio (county) and immediate region. There are seven GeoTIFF files (.tif) with this data set which includes two for July 24, 1984 multispectral scanner (MSS), one for June 21, 1994 thematic mapper Landsat 5 (TM5),  three for July 13, 1999 thematic mapper Landsat 7 (TM7), and one TM for June 21, 1994.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777777771-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777777771-ORNL_CLOUD.html",
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         "description": "This data set reports the results of a study to measure soil emissions of the carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), and nitric oxide (NO) throughout an entire cropping cycle in (1) slash-and-burn and (2) chop-and-mulch prepared agricultural fields from 2001-2004.  An adjacent 15-year-old fallow field with secondary forest vegetation served as the control.  The study site is within the municipality of Igarape Acu, Para, Brazil, at the Experimental Farm of the Federal Rural University of Amazonia. Flux data are reported in one comma-separated file.",
         "license": "proprietary"
     },
@@ -140603,7 +143801,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780910985-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780910985-ORNL_CLOUD.html",
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         "description": "This data set reports biomass from small stems and non-woody vegetation measured from 1999 to 2005 in plots of a secondary-growth forest fertilization experiment. The study location was Fazenda Vitoria, 6.5-km northwest of the town of Paragominas, Para, Brazil, in a 6-year old secondary-growth forest. Vegetation life-forms with diameters less than or equal to 2 cm (grasses, herbs, vines and dead material) were destructively sampled in November 1999, June 2000, June 2001, July 2003, July 2004, and July 2005. All data are provided in a single comma-separated file. The site was divided into three blocks with four treatment plots (each 20m x 20m) located in each block (3 reps x 4 treatments = 12 plots). Three of the twelve plots were fertilized with nitrogen (100 kg N/ha as urea), three were fertilized with phosphorus (50 kg P/ha as superphosphate), three were fertilized with both nitrogen and phosphorus. The remaining three plots were not fertilized and served as the experimental control.",
         "license": "proprietary"
     },
@@ -140616,7 +143814,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742781-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742781-ORNL_CLOUD.html",
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         "description": "This data set reports monthly measured soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted from 1999-2001 at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002). There are two ASCII comma delimited files with measured VWC, one for the control plot and one for the rainfall exclusion plot.These measured values were used by the authors to develop a model of daily changes in the distribution of water through the soil layers. The simulated daily VWC values are also provided in the file with the measured VWC. For comparison, results of VWC simulation for the control and treatment plots using a STELLA model which incorporates rainfall and plant water uptake are provided. There are two ASCII comma delimited files of simulated results. See Belk et. al., 2007 for details.",
         "license": "proprietary"
     },
@@ -140629,7 +143827,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777785283-ORNL_CLOUD.html",
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         "description": "This data set reports the results of a rainfall exclusion experiment in the Tapajos National Forest (Flona-Tapajos) at km 67 along the Santarem-Cuiaba BR-163 highway. From December 1999 through April 2005, following a one-year pre-treatment phase, rainfall was excluded from one of two 1-hectare plots of seasonally dry humid tropical forest. Soil emissions of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) were monitored in order to determine the likely effect of increasingly frequent El Nino drought episodes in the Amazon basin. Soil trace gas flux data are provided in one comma-separated data file.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780107886-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780107886-ORNL_CLOUD.html",
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         "description": "This data set provides a time series of calcium, magnesium, and potassium extracted from soil samples from a laboratory column extraction study conducted in 2002. Soils used in the columns were originally collected in 1998 in Fazenda Vitoria, a cattle ranch 6 km north of the town of Paragominas, Para, Brazil. The soils were from contrasting land uses of primary forest (mata), secondary forest (capoeira), or pasture (pasto). Water equilibrated with increasing concentrations of CO2 was used to extract cations from the soil columns. Data represent the time series of cation concentrations in the extract solutions as well as the total content of cations removed from the soils. There is one comma-delimited ASCII file with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780104163-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780104163-ORNL_CLOUD.html",
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         "description": "This data set reports soil CO2 flux and results of physical and chemical characterization of soils from pastures, secondary forests, and mature forests near Rio Branco, Acre, Brazil. CO2 flux measurements were made in the field on a monthly basis at 16 sites from June of 1999 to January 2001. In addition, litter was collected monthly from 2001-2002 at each of the mature forest sites and at 4 of the secondary forest sites, and mean litter mass is reported. Soil samples were collected and analyzed from several land cover types at two sites during this same time period. There are four comma-delimited ASCII data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777782798-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777782798-ORNL_CLOUD.html",
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         "description": "This data set reports the results of a study to quantify the effects of moisture and substrate availability on soil trace gas fluxes in a regrowth forest in Eastern Amazonia, Apeu, Para, Brazil, from 1999-2003. The efflux of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) from soil was measured as a response to (1) increased soil moisture availability during the dry season by irrigation and (2) decreased substrate availability by continuous removal of aboveground litter and compared to (3) untreated control plots. Soil gas fluxes are reported in one comma-separated data file.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780918831-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780918831-ORNL_CLOUD.html",
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         "description": "This data set reports soil carbon dioxide (CO2) and nitrous oxide (N2O) concentrations and soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two to three months. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002).Data provided are from December 9, 1999, and April 2, 2000-June 14, 2002. There is one comma-delimited data file with this data set.  ",
         "license": "proprietary"
     },
@@ -140694,7 +143892,7 @@
         "bbox": "-55, -2.75, -55, -2.75",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836843-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836843-ORNL_CLOUD.html",
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         "description": "This data set reports field estimated saturated hydraulic conductivity measurements from June 12 through June 20, 2001. This study was part of a rainfall exclusion experiment that was conducted from 1999-2001 at the km 67 Seca Floresta site, Tapajos National Forest, Para, Brazil. The objective of this component of the study was to develop an understanding of the physical processes driving the observed soil water dynamics at the site. There is one comma-delimited ASCII data file with this data set.",
         "license": "proprietary"
     },
@@ -140707,7 +143905,7 @@
         "bbox": "-47.52, -2.98, -47.52, -2.98",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777778341-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777778341-ORNL_CLOUD.html",
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         "description": "This data set provides tree diameters and heights measured from 1999 to 2005 in plots of a secondary-growth forest fertilization experiment located 6.5-km northwest of the town of Paragominas, Para, Brazil. In the 6-year old secondary-growth forest, all trees greater than 2 cm diameter at breast height (DBH) were tagged, identified, and measured for diameter and height in November 1999. Fertilizer was applied to selected plots in January 2000 and February 2001. Tree heights and diameters were remeasured in May 2000, June 2001, July 2002, July 2004, and July 2005. All data are provided in a single comma-separated file.The site was divided into three blocks, with four treatment plots (each 20m x 20m) located in each block (3 reps x 4 treatments = 12 plots). Three of the twelve plots were fertilized with nitrogen (100 kg N/ha as urea); three were fertilized with phosphorus (50 kg P/ha as superphosphate); three were fertilized with both nitrogen and phosphorus. The remaining three plots were not fertilized and served as the experimental control..",
         "license": "proprietary"
     },
@@ -140720,7 +143918,7 @@
         "bbox": "-47.67, -3.19, -47.27, -2.2",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836379-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836379-ORNL_CLOUD.html",
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         "description": "This data set includes measurements of dissolved nutrient and organic carbon concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, pH, and discharge from three streams located in mixed land use (crop fields, pastures, secondary vegetation, and forest) and two streams in entirely forested landscapes near Paragominas in the state of Para, Brazil. Stream water samples were collected during two different periods: 1) weekly from August 1999 to July 2001 at location Igarape 54, Station 5 and 2) monthly from April 2003 through October 2005 at all of the stations. The exact start date and suite of measurements vary by location. In addition, samples from precipitation collectors at the Paragominas Meteorological Station were measured for nutrient concentrations every two weeks from 1999 to 2001. There are two comma delimited ASCII data files with this data set.",
         "license": "proprietary"
     },
@@ -140733,7 +143931,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780108110-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780108110-ORNL_CLOUD.html",
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         "description": "This data set consists of water chemistry data from streams, wells, rainwater, and canopy throughfall samples. The field measurements were carried out at Rancho Grande in the Brazilian state of Rondonia, in the southwestern Brazilian Amazon basin, at two adjacent watersheds, a forest (1.37 ha), and pasture (0.73 ha). Samples were collected during one entire rainy season starting in August 2004 and ending in April 2005. There is one comma-delimited data file with this data set.Ridge, Tennessee, U.S.A.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780901460-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780901460-ORNL_CLOUD.html",
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         "description": "This data set provides the results of (1) the physical and chemical characterization of streams and (2) comparable chemical analyses of extracted soil water in the Aldeia River basin at Fazenda Nova Vida, a large cattle ranch 50 km from the city of Ariquemes, in central Rondonia, Brazil, from 1994-2001. Data are provided on the stream beds including cross-sectional depth and stream bed surface type. Stream discharge is reported. Streamwater was sampled and analyzed periodically over the eight year duration of the study at numerous steam locations. Soil solution samples were collected at the same frequency with lysimeters placed at 30 cm and 100 cm depths on the floodplain and at upland forest and pasture sites in the Aldeia River watershed. There are five comma-delimited data files in this data set. ",
         "license": "proprietary"
     },
@@ -140759,7 +143957,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804827524-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804827524-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBuZC0wMiBzb2lsIHZvbHVtZXRyaWMgd2F0ZXIgY29udGVudCwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIGJyYXppbFwiLFwiT1JOTF9DTE9VRFwiLFwiTkQwMl9SRUVfU29pbF9WV0NfMTA2MVwiLFwiMVwiLDI3Nzk3NDI3ODEsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIG5kLTAyIHNvaWwgdm9sdW1ldHJpYyB3YXRlciBjb250ZW50LCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJORDAyX1JFRV9Tb2lsX1ZXQ18xMDYxXCIsXCIxXCIsMjc3OTc0Mjc4MSwyXSJ9/ND04_C_Nutrient_Stocks_1069_1",
         "description": "This data set reports the carbon and nutrient stocks of above-ground vegetation and soil pools at three locations where post-pasture secondary forest recovery ranged from 0 to 14 years since abandonment. These sites are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53) and Fazenda Dimona (km 72). From September 2000 to July 2001, measurements were obtained for aboveground biomass (cite ND-04 Sec For Recovery), foliage and wood samples were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations, and soil samples from 0 to 45 cm depth were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations. Total carbon (C) and nutrient stocks were calculated for various vegetation and soil pools to gain an understanding of the dynamics of nutrient and C buildup in regenerating secondary forests in central Amazonia (Feldpausch et al., 2004). There are 2 comma-delimited ASCII data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804826978-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804826978-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBuZC0wMiBzb2lsIHZvbHVtZXRyaWMgd2F0ZXIgY29udGVudCwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIGJyYXppbFwiLFwiT1JOTF9DTE9VRFwiLFwiTkQwMl9SRUVfU29pbF9WV0NfMTA2MVwiLFwiMVwiLDI3Nzk3NDI3ODEsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIG5kLTAyIHNvaWwgdm9sdW1ldHJpYyB3YXRlciBjb250ZW50LCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJORDAyX1JFRV9Tb2lsX1ZXQ18xMDYxXCIsXCIxXCIsMjc3OTc0Mjc4MSwyXSJ9/ND04_Secondary_Forest_Recovery_1068_1",
         "description": "This data set reports measurements of the canopy and structure of secondary forests regenerating from abandoned pastures. These secondary forests are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53), and Fazenda Dimona (km 72). Ten secondary forest study sites were selected within the three fazendas where post-pasture forest recovery ranged from 0 to 14 years since abandonment.From 2000-2001 estimates of leaf area index (LAI) and canopy cover were derived from hemispherical canopy digital photographs, and estimates of aboveground biomass and basal area were derived utilizing allometric equations from diameter at breast height (DBH) measurements. Estimates were classified by growth-form and diameter class. See Feldpausch et al. (2005) for more information. There are four comma-delimited data files with this data set and one companion file with information regarding the allometric equations relating diameter at breast height (for dbh > 5 cm) to dry weight for biomass calculations. ",
         "license": "proprietary"
     },
@@ -140785,7 +143983,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781618453-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781618453-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBuZC0wMiBzb2lsIHZvbHVtZXRyaWMgd2F0ZXIgY29udGVudCwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIGJyYXppbFwiLFwiT1JOTF9DTE9VRFwiLFwiTkQwMl9SRUVfU29pbF9WV0NfMTA2MVwiLFwiMVwiLDI3Nzk3NDI3ODEsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIG5kLTAyIHNvaWwgdm9sdW1ldHJpYyB3YXRlciBjb250ZW50LCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJORDAyX1JFRV9Tb2lsX1ZXQ18xMDYxXCIsXCIxXCIsMjc3OTc0Mjc4MSwyXSJ9/ND04_Soil_H2O_Manaus_1246_1",
         "description": "This data set contains soil water measurements to a depth of 3 meters for the years 1999, 2000, and 2001, and total monthly precipitation data for 1999-2000. The data were collected from a pasture site located at the Embrapa Pasture Research Site, a former cattle research station 54 km north of Manaus on the highway BR 174 Manaus-Boa Vista, Brazil. There are three comma-separated data files (.csv) with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: There is no associated research documentation and the units were not provided with the data. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780106713-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780106713-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBuZC0wMiBzb2lsIHZvbHVtZXRyaWMgd2F0ZXIgY29udGVudCwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIGJyYXppbFwiLFwiT1JOTF9DTE9VRFwiLFwiTkQwMl9SRUVfU29pbF9WV0NfMTA2MVwiLFwiMVwiLDI3Nzk3NDI3ODEsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIG5kLTAyIHNvaWwgdm9sdW1ldHJpYyB3YXRlciBjb250ZW50LCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJORDAyX1JFRV9Tb2lsX1ZXQ18xMDYxXCIsXCIxXCIsMjc3OTc0Mjc4MSwyXSJ9/ND04_Termite_Mounds_1072_1",
         "description": "This data set reports the results of a comprehensive study of mound building termites at the Embrapa research station in the Distrito Agropecuario da SUFRAMA, located at km 53 of the federal highway BR 174 outside Manaus, Amazonas, Brazil. Study areas included a primary forest site, an adjacent 7-8 year old secondary forest site, and two abandoned pasture sites which were being used for agroforest purposes.Reported are (1) the termite species occurrence and areal abundance of mounds, (2) characterization of the mound soil microbiological community, root biomass, seedling emergence success, soil respiration, nitrogen mineralization, and (3) the characterization of the termite mound soil physical, chemical, and hydraulic properties. Analyses were also performed on samples from adjacent control soils for comparison. This data set contains 15 comma-delimited data files.",
         "license": "proprietary"
     },
@@ -140811,7 +144009,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780960821-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780960821-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBuZC0wMiBzb2lsIHZvbHVtZXRyaWMgd2F0ZXIgY29udGVudCwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIGJyYXppbFwiLFwiT1JOTF9DTE9VRFwiLFwiTkQwMl9SRUVfU29pbF9WV0NfMTA2MVwiLFwiMVwiLDI3Nzk3NDI3ODEsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIG5kLTAyIHNvaWwgdm9sdW1ldHJpYyB3YXRlciBjb250ZW50LCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgYnJhemlsXCIsXCJPUk5MX0NMT1VEXCIsXCJORDAyX1JFRV9Tb2lsX1ZXQ18xMDYxXCIsXCIxXCIsMjc3OTc0Mjc4MSwyXSJ9/ND06_LandUse_Studies_1130_1",
         "description": "This data set provides measurements of soil properties compiled from 39 studies on nutrient dynamics in natural forests and forest-derived land uses (pasture, shifting cultivation and tree plantations) conducted in Amazonia over the period of 1950-2001. The initial literature survey for the data consisted of more than 100 studies conducted during this period.The objectives of this project were to compare soil data from major land uses across Amazonia and identify gaps in present knowledge that offer direction for future research. Five widely cited hypotheses were tested concerning the effects of land-use change on soil properties by analyzing data compiled from 39 studies in multi-factorial ANOVA models:-- effective cation exchange capacity (ECEC), and exchangeable calcium (Ca) concentrations rise and remain elevated following the slash-and-burn conversion of forest to pasture or crop fields soil contents of total carbon (C), nitrogen (N), and inorganic readily (i.e., Bray, Mehlich I or resin) extractable phosphorus (Pi) decline following forest-to-pasture conversion-- soil concentrations of total C, N, and Pi increase in secondary forests with time since abandonment from agricultural activities-- soil nutrient conditions under all tree-dominated land-use systems (natural or not) remain the same-- higher efficiencies of nutrient utilization occur where soil nutrient pools are lower There is one comma-delimited ASCII file (.csv) with this data set and a list of the 39 studies used in this data set provided as a companion file in text format.",
         "license": "proprietary"
     },
@@ -140824,7 +144022,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780940083-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780940083-ORNL_CLOUD.html",
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         "description": "This data set provides (1) delta 15N ratios and nitrogen concentrations for foliar samples and (2) delta 13C and delta 15N ratios as well as carbon and nitrogen concentrations for soil samples collected from cerrado sites within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Foliar samples, collected from 320 individuals representing 45 woody tree and shrub species, and soil samples were collected from 5 cerrado locations (2 in campo sujo, 2 in cerrado denso and 1 in cerrado). Soil samples were collected to 450 cm depth in the campo sujo and 800 cm depth elsewhere. Samples were collected during the period December 1999 to September 2000.  Eiten (1972) described campo sujo as an open savanna with scattered trees and shrubs, cerrado sensu stricto as a savanna woodland with abundant evergreen and deciduous trees and shrubs and an herbaceous understory, and cerrado denso as medium to tall woodlands with closed or semiclosed canopies (Bustamante et al., 2004).There are two comma-delimited data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780948560-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780948560-ORNL_CLOUD.html",
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         "description": "This data set reports the results of soil nitric oxide (NO) flux, soil moisture, and soil nitrate (NO3) and ammonium (NH4) concentration measurements on Cerrado soils receiving nitrogen fertilization. Measurements and samples were collected from control and fertillized experimental plots on Cerrado soils within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Sampling dates were from March 26, 2004 to November 25, 2004. The soils had received nitrogen and phosphorus fertilization treatments which began in 1998. The objective of this project was to determine the long-term effects of nutrient addition (N and N+P) in native Cerrado area on N oxide fluxes from soil to the atmosphere. There is one comma delimited (.csv) ASCII file with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835087-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835087-ORNL_CLOUD.html",
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         "description": "This data set reports the microbial biomass in soil samples collected from the Cerrado, a woodlands-savannah area, in Brasilia, Brazil. Microbial biomass was determined as the total concentration of phospholipid fatty acids (PLFAs). Soil samples (0-5 cm) were collected from June, 2000 to June, 2001 in two native areas of Cerrado that were subjected to a range of fire regimes. Two plots were protected from fire since 1973, another two plots were subjected to prescribed fires every two years since 1992, and a fifth plot was in a 20 year-old active pasture (Brachiaria brizantha). The analyses were conducted to determine the effects of fire regimes and changes in vegetation cover on the microbial communities of Cerrada soils. There is one comma-separated ASCII data file with this data set. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777842574-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777842574-ORNL_CLOUD.html",
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         "description": "This data set reports on dissolved nutrient concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, and pH measured in water samples collected from nine streams located in the state of Brasilia, Brazil, between September, 2004 and December, 2006. Streams were located in different land cover types including natural (forest), rural (agricultural), and developed landscapes. In addition, water samples from wells, lysimeters, surface runoff, and precipitation were collected from four sites, 2 natural and 2 rural, and analyzed for nutrient concentrations. Streams were sampled every 2-4 weeks; rain water was collected approximately monthly during the wet season and once during a dry season; wells and lysimeters were sampled monthly; and surface runoff collections were event based. There are three comma-delimited data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777841094-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777841094-ORNL_CLOUD.html",
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         "description": "This data set reports on soil-atmosphere fluxes of trace carbon dioxide, carbon monoxide, nitrous oxide, and nitric oxide (CO2, CO, N2O, NO) under various natural and manipulated land use conditions. The studies were conducted near Brasilia, Brazil in pastures and agricultural areas under a variety of management regimes and in more natural areas of cerrado (20-50% canopy cover) and campo sujo (open, grass-dominated), which were either burned every 2 years or protected from fire. Results provide data and relationships needed for regional trace gas models. There are nine comma-separated ASCII data files with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781391653-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781391653-ORNL_CLOUD.html",
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         "description": "This data set reports the concentrations of the nutrients nitrogen (N), phosphorus (P), magnesium (Mg), calcium (Ca), and potassium (K) in roots, litterfall, leaves, and twigs, biomass of fine roots and litterfall, and the decomposition of leaves and twigs in samples that were collected on the property of Jari Celulose, Monte Dourado, Para, Brazil, from 1999-2001.Samples were collected from two study sites, a eucalyptus plantation and an adjacent primary forest, during both rainy and dry seasons. Roots were sampled from three depths (0-15 cm, 35-50 cm, and 85-100 cm).There are five comma-delimited data files with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: The data files do not identify the year in which samples were collected. The methods for nutrient, decomposition, and biomass sampling and analyses were not provided. The data file descriptions indicate that samples were collected from two soil types (sandy and clay) but there is no documentation of which data field provides that information. Also, there is no documentation for the Location or Block fields in the data files.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781620134-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781620134-ORNL_CLOUD.html",
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         "description": "This data set provides (1) carbon (C) and nitrogen (N) concentration measurements of two soil aggregate fractions (250-2000 micon, small macro-aggregates (SMAG)), and (53-250 micron (micro-aggregates (mico)) and (2) in situ soil respiration measurements (January-March 2003) on sand and clay soils from a Eucalyptus plantation and an adjacent primary forest. The soils for fractionation were sampled in July 2001 from 0-20 cm and 30-50 cm depths. The research site was on the property of Jari Celulose, Monte Dourado, Para, Brazil. There are two files with this data set in comma-delimited (.csv) format.",
         "license": "proprietary"
     },
@@ -140915,7 +144113,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781558603-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781558603-ORNL_CLOUD.html",
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         "description": "This data set provides the results of soil physical property and chemical measurements of samples collected from two pasture chronosequences (years since conversion from primary forest) located on two ranches south of Santarem, Para, Brazil, and east of the Tapajos River. Soil data includes soil classification, bulk density, texture, and mean concentrations of total nitrogen (N), carbon (C), phosphorus (P), and P fractions. The soils were high clay oxisols and highly sandy entisols.One chronosequence of sites was established on oxisol soils dating 2, 7, and 15 years since conversion from primary forest. A second set of sites, 1, 7, and 15 years old was established on the sandy entisols. Five of the six pasture sites were on a single ranch; the 2-year-old oxisol pasture was the exception. Ten soil samples per site were collected from 0-10 cm depth along random intervals within 100-m transects in August 1997.There are two comma-delimited (.csv) data files with this data set.",
         "license": "proprietary"
     },
@@ -140928,7 +144126,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777410780-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777410780-ORNL_CLOUD.html",
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         "description": "This data set contains stream water exports of coarse particulate organic matter (CPOM) and coarse particulate organic carbon (CPOC) during 2003-2004 from four forested headwater streams near Juruena, Mato Grosso, Brazil (Selva et al. (2007) and Johnson et al. (2006) . Data are reported in a single comma-separated ASCII  file as watershed exports in mass units, carbon content, and watershed exports per watershed area over the reported sampling intervals.Resolving the carbon balance in the Amazonian forest depends on an improved quantification of production and losses of particulate C from forested landscapes via stream export. The export of coarse organic particulate matter (>2 mm) was quantified for one year in four small watersheds (1-2 ha) under native forest in southern Amazonia near Juruena, Mato Grosso, Brazil. Stream-water exports of particulate C were positively correlated with stream flow, increasing in the rainiest months. The export of particulate C in stream flow was found to be a small (less than 1%) percentage of the amount of litterfall produced. ",
         "license": "proprietary"
     },
@@ -140941,7 +144139,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777814121-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777814121-ORNL_CLOUD.html",
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         "description": "Data were collected in the logging concession at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso.  Estimates of damage associated with logging operations were made after logging operations were complete in 2003 and 2004. Damage associated with gaps created by felling single trees was estimated in 54 individual gaps. Characteristics of the single harvested tree were recorded and included species, DBH, commercial height, total height, and canopy proportions.  Damage to all surrounding trees was recorded. Stratified transects in two logging blocks were used to estimate damage associated with road building and skid trails. Twenty-six transects were established in Block 5 and 21 transects in Block 18 to assess the frequency of damage by log skidders and tree felling. The boundaries between different types of damage were noted along the transect  and the length in meters of that damage type along the transect was recorded. From this information, the area of the logging block affected by road building and skid trails was determined.The Gap Survey and the Logging Damage Transects Survey data are provided in comma-separated ASCII files. A third file provides the coordinates of the starting points for the Survey Transects.  ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784834826-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784834826-ORNL_CLOUD.html",
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         "description": "This data set contains the results of an experiment to determine litter decomposition and dynamics of carbon and nitrogen release from plant litter of differing qualities which occur in combination in agroforestry systems. Reported in five ASCII files are (1) the initial values of soil and plant litter macronutrients, nitrogen; and carbon contents; (2) descriptions of the various experimental treatments; and (3) the final nitrogen and carbon composition of the plant litter and soil and calculated releases from the litter.The study was conducted at the Empresa Brasileira de Pesquisa Agropecuaria-Centro da Pesquisa Agroflorestal (EMBRAPA-CPAA) experimental station located north of Manaus on the BR 174 highway in the central Amazon Basin. The experimental plot, located in an open grassy field, was selected based on low, homogeneous soil C and nutrient contents, minimal prior disturbance, and no previous fertilizer application. The soil was a degraded typic Hapludox with the following soil properties for the upper 0-3 cm: pH in water of 5.05, 1.3 mg N/g, 18.0 mg C/g (automatic CN Analyzer, Elementar), 2.05 mg P/kg, 55.0 mg K/kg (Mehlich-1 extractable), 11.7 mg Ca/kg, and 4.6 mg Mg/kg (KCl extractable). The experiment was conducted in the field in small plots with treatments that vary in the ratio of plant litter of two plants: gliricidia (Gliricidia sepium (Jacq.) Kunth. ex Walp.) and cupuacu (Theobroma grandiflorum). Soil and litter samples were collected prior to and during the experiment. Resin bags were used to retain mineral nitrogen released from the plant litter.",
         "license": "proprietary"
     },
@@ -140967,7 +144165,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777794683-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777794683-ORNL_CLOUD.html",
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         "description": "This data set reports the results of field surveys to determine: regeneration diversity and size distribution of plants in primary undisturbed forest; and  regeneration diversity and size distribution of trees in a one hundred hectare block, six years after reduced impact logging treatment (vine removal) was applied in 1998.  In addition, wood density and carbon concentrations in commercially harvested species are reported.  All surveys were performed in 2003 and 2004 within block 5 of the logging concession at the Fazenda Rohsamar in the municipality of Jurena in northwestern Mato Grosso, Brazil. The data are reported in three comma separated files.",
         "license": "proprietary"
     },
@@ -140980,7 +144178,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777812410-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777812410-ORNL_CLOUD.html",
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         "description": "This data set reports the results of the analysis of soil samples for Nitrate (NO3) and physical properties that were collected for one year following reduced impact logging in logging concessions at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso. Sample locations were randomly selected from stratified regions of the 1,400 ha Block 5 to account for local scale soil variability. Soil samples were collected to 8-m depth in (1) nine gaps formed by single tree removal and (2) nine areas of undisturbed primary forest. Areas of undisturbed forest were confined to patches of forest within Block 5 that were protected from logging.  An additional 3 forested areas were sampled to 3-m depth that contained high sand content. These results quantified the effects of reduced impact logging, to test whether nitrogen (N) loss from leaves and coarse woody debris under reduced impact logging results in a significant accumulation of subsoil nitrate (Feldpausch et al., 2009). One comma separated data file contains the soil moisture results and a second file the soil NO3 content and soil physical properties.",
         "license": "proprietary"
     },
@@ -140993,7 +144191,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777411496-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777411496-ORNL_CLOUD.html",
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         "description": "The results of the analysis of soil chemical parameters, texture, and color are reported for 185 georeferenced soil profile sample points over four forested headwater catchments near Juruena, Mato Grosso, Brazil (Novaes Filho, et al., 2007a and Novaes Filho, et al., 2007b). Samples were collected from an approximately 20 x 20 m grid over each watershed from 2004/05/01 to 2004/08/18. By sampling each location at depths of 0-20 and 40-60 cm it was possible to distinguish and map the principle soil classes found in the study area to the 2nd category level of the Brazilian System of Soil Classification (Cooper et al., 2005) associated with the topographic relief. The data set contains one comma separated ASCII data file with spatially referenced soil nutrient and organic carbon data from 0-20 cm (A layer, topsoil) and 40-60 cm (B layer, subsoil)depths for the Juruena watersheds study area.A satisfactory relationship between the redness index of the diagnostic horizons and the soil class colors was also found. In spite of the apparent homogeneity of the visible landscape characteristics such as slope, soil color, and vegetation, the carbon and soil clay attributes were found to vary greatly. This variability over small distances demonstrates that extrapolation of soil characteristics and soil carbon stocks to larger areas could produce erroneous results if the spatial variability of the soil attributes is not taken into consideration.",
         "license": "proprietary"
     },
@@ -141006,7 +144204,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777338780-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777338780-ORNL_CLOUD.html",
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         "description": "This data set contains information that can be used to examine water fluxes in soils beneath tree crops in an Amazonian agroforest. The data consists of repeated measurements of soil matrix pressure and soil moisture content at several depths. The study was carried out at the Empresa Brasileira de Pesquisa Agropecuaria (Embrapa)-Amazonia Ocidental, 29 km North of Manaus, Brazil (3d 8m S, 59d 52m W, 40 - 50 m above sea level), in 1998 and 1999.Microaggregated tropical soils have shown high water conductivity even under unsaturated conditions in laboratory experiments. It is not clear, however, what depth the infiltrating soil water reaches during storm events under humid tropical conditions. Dynamics and fluxes of water were determined with high temporal resolution to a depth of 5 m in a Xanthic Hapludox of central Amazonia, Brazil. The soil water percolated to a depth of 0.9 m within 2 h of a rainfall event of 48 mm. Water fluxes were significantly slower below 0.9 m (17% of infiltration at 0 - 0.9 m) due to higher bulk densities. Percolation not only started rapidly after a rainfall event when soil water suction reached a certain threshold (ca. 20 - 30 hPa) but was also reduced to background levels less than 1 h after the rain had ended. The demonstrated extremely short-term dynamics of water fluxes have implications for measurement design of water availability and solute leaching in microaggregated tropical soil that require correct time integrals of solution concentrations and soil water dynamics. Measurement intervals of 30 min or less were necessary in our study. Rapid water flows may explain the observed high nutrient losses from the topsoil of microaggregated tropical soil and the large accumulation of nutrients in the deep soil (> 5 m).",
         "license": "proprietary"
     },
@@ -141019,7 +144217,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777741436-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777741436-ORNL_CLOUD.html",
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         "description": "This data set contains baseflow streamwater concentrations of pH, specific conductivity, base cations, carbon (dissolved organic carbon (DOC), particulate organic carbon (POC) and bicarbonate alkalinity) and silica for four headwater streams in the seasonally dry Amazon (Johnson et al. (2006a) and Johnson et al. (2006b). Data are provided in one comma-separated ASCII file.This hydrologic study of four headwater watersheds was conducted in an undisturbed forest near Juruena, Mato Grosso in the seasonally dry, southern Amazon. The small catchments range in size from 0.85 to 1.9 ha. Stream water samples were collected weekly during rainy seasons and biweekly during the dry seasons. Baseflow stream water concentrations of base cations, silica, electrical conductivity, DOC, and alkalinity varied inversely with discharge. While there was variation among the watersheds, the concentration-discharge patterns were consistent for each of the four watersheds. Baseflow discharge data are not included in this data set and will be archived separately.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777749892-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777749892-ORNL_CLOUD.html",
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         "description": "Tree and liana (vine) measurements were collected in a logging concession at the Fazenda Rohsamar in the municipality of Jurena in northwestern Mato Grosso. Tree identification and diameter measurements were collected between July 31, 2003 and October 14, 2003 on 10-m x 1000-m transects and the liana measurements were collected between August 5, 2003 and October 14, 2003 on 10 2-m x 1000-m transects within a 1400 ha logging block ( Feldpauschh et al. 2006). Liana transects were nested within tree census transects to relate total species data to the tree inventory. The biomass of lianas was calculated using two different allometric equations derived for lianas in Amazonian forests ( Gerwing and Farias, 2000; Gerwing et al. 2004). Comma-separated data files of measurements of (1) tree species (diameter >10 cm), and forest characteristics, (2) measurements of liana diameter, forest characteristics, and calculated biomass, and (3) georeference points for the liana sampling transects are provided.Selective logging has become a dominant land-use in Brazilian Amazonia. Published data on forest biomass in southern Amazonia is sparse. As part of a larger study to evaluate the effect of reduced impact logging on carbon dynamics and nutrient stocks, forest structure, and forest regeneration potential, we conducted a pre-harvest campaign to estimate tree and liana biomass in a parcel of managed forest in northwestern Mato Grosso. Prior to logging in 2003, a scientific inventory was conducted in Block 5 of the logging concession(Figure 1). Tree characteristics for all trees and palms > 10 cm DBH was measured by stratified sampling across the block to account for differences in tree densities (trees/ha). Transects were located using a commercial timber inventory to identify tree trunks approximately 10 cm DBH, lower and upper canopy height, species, and location of all individuals to the nearest 10 cm on an x-y grid. Diameter of all liana stems were included if their ultimate rooting point before ascending into the canopy fell within the transect. Lianas that had been cut due to reduced impact logging practices were also measured. Distance along the transect was recorded for each stem.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777792629-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777792629-ORNL_CLOUD.html",
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         "description": "This data set reports the results of a vegetation survey along transects across the transition zones between the three major forest types in the seasonally dry forest of the southwestern Amazon Basin in the municipality of Juruena, Mato Grosso in 2004. The major forest types are differentiated by tree species composition, biomass, soil type, and landscape position: (1) campinarana; high stem density and low biomass on sandstone outcrops, (2) palm forest; low-lying seasonally inundated areas dominated by palms and, (3) terra firme; low stem density and high biomass. Along these 10 x 100 m transects, all trees, palms, and lianas >= 10 cm DBH in 10 x 10 m plots and, in nested 2 x 10 m subplots, all trees, palms and lianas >=1 cm DBH were measured, identified and georeferenced. Plot locations and survey data are reported in two comma separated files.",
         "license": "proprietary"
     },
@@ -141058,7 +144256,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780955938-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780955938-ORNL_CLOUD.html",
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         "description": "This data set provides fine litterfall mass and nutrient concentrations from samples collected at chronosequences established at Sao Francisco do Para and Capitao Poco, Para, Brazil. Nitrogen (N) and phosphorus (P) concentrations were determined for litterfall samples from the Sao Francisco do Para, and N, P, potassium (K), calcium (Ca), and magnesium (Mg) concentrations are reported for samples from the Capitao Poco. In addition, carbon (C), N, delta C13, and delta N15 values were determined for leaves from the dominant species of the forests at Sao Francisco do Para; soil physical and chemical characteristics were determined for a subset of the chronosequence plots at the two study sites; and soil trace gas fluxes were determined from the Sao Francisco do Para site. All samples were collected between March 2001-February 2005. Trace gas fluxes were measured 10 times between October 2000 and June 2002 with 5 sample periods in dry season and 5 in wet season months. There are five comma-delimited data files with this data set.",
         "license": "proprietary"
     },
@@ -141071,7 +144269,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781409456-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781409456-ORNL_CLOUD.html",
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         "description": "This data set contains images of fractional cover estimates of photosynthetic vegetation (PV) canopy, nonphotosynthetic vegetation (NPV), and exposed soils (S) derived from Landsat images (30-m resolution) obtained for two ranches in the Brazilian Amazon from 1996 to 2002. The Fazenda Vitoria ranch is located in eastern Para near the city of Paragominas and is a mosaic of primary forest, logged forest, secondary forest, and pasture with moderately dissected topography. The Fazenda Nova Vida ranch is located in the state of Rondonia in western Amazonia and is a mosaic of primary forest, logged forest, and pastures. For Fazenda Vitoria, two dry-season Landsat images were obtained, subset, and analyzed. For Nova Vida three dry-season images and one end-of-wet-season image were obtained, subset, and analyzed. Spectral mixture analysis, which decomposes individual satellite pixels into constituent cover fractions of surface materials, was used with a general probabilistic modeling approach to derive subpixel cover fractions of PV, NPV, and S. There are six GeoTIFF (.tif) files with this data set.  ",
         "license": "proprietary"
     },
@@ -141084,7 +144282,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780961671-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780961671-ORNL_CLOUD.html",
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         "description": "This data set reports the results of chemical analyses of rainfall, throughfall, litter leachate, and soil water samples collected before, during, and after a rainfall exclusion experiment conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two weeks from May 17, 1999 through May 10, 2006. Measurements included alkalinity, conductivity, pH, and selected anions and cations analyzed by ion chromatography.The exclusion treatment, began in late January 2000 and continued through December 2004, involved diverting about 60% of throughfall (equivalent to approximately half the rainfall) from a 1-hectare plot using plastic panels installed in the understory. The comparable 1-hectare control plot was unaltered. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad et al., 2002 and Nepstad et al., 2007). There are five comma-delimited data files with this data set. ",
         "license": "proprietary"
     },
@@ -141487,7 +144685,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1647528934-NSIDC_ECS.html",
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         "description": "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation.  This NISE Version 2 product contains SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager (SSM/I) aboard the Defense Meteorological Satellite Program (DMSP) F13 satellite. For DMSP-F16, SSMIS-derived data, see <a href=\"https://doi.org/10.5067/JAQDJKPX0S60\"> NISE Version 3</a>. For DMSP-F17, SSMIS-derived data, see <a href=\"https://nsidc.org/data/nise/versions/4\"> NISE Version 4</a>. For DMSP-F18, SSMIS-derived data, see <a href=\"https://doi.org/10.5067/3KB2JPLFPK3R\"> NISE Version 5</a>.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1997866870-NSIDC_ECS.html",
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         "description": "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation.  This NISE Version 3 product contains DMSP-F16, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F16 satellite. For DMSP-F18, SSMIS-derived data, see <a href=\"https://doi.org/10.5067/3KB2JPLFPK3R\">NISE Version 5</a>. For DMSP-F17, SSMIS-derived data, see <a href=\"https://nsidc.org/data/nise/versions/4\">NISE Version 4</a>. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see <a href=\"https://doi.org/10.5067/4FSODMDM1WEJ\">NISE Version 2</a>.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1450086509-NSIDC_ECS.html",
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         "description": "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation.   This NISE Version 4 product contains DMSP-F17, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F17 satellite. For DMSP-F16, SSMIS-derived data, see <a href=\"https://doi.org/10.5067/JAQDJKPX0S60\"> NISE Version 3</a>. For DMSP-F18, SSMIS-derived data, see <a href=\"https://dx.doi.org/10.5067/3KB2JPLFPK3R\">NISE Version 5</a>. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see <a href=\"https://doi.org/10.5067/4FSODMDM1WEJ\">NISE Version 2</a>.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1449515322-NSIDC_ECS.html",
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         "description": "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation.  This NISE Version 5 product contains DMSP-F18, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F18 satellite. For DMSP-F16, SSMIS-derived data, see <a href=\"https://doi.org/10.5067/JAQDJKPX0S60\"> NISE Version 3</a>. For DMSP-F17, SSMIS-derived data, see <a href=\"https://nsidc.org/data/nise/versions/4\"> NISE Version 4</a>. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see <a href=\"https://doi.org/10.5067/4FSODMDM1WEJ\">NISE Version 2</a>.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2677134970-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677134970-ORNL_CLOUD.html",
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         "description": "This dataset provides the mixing ratios of reactive nitrogen and halogen species measured by the NOAA Iodide Ion Time-of-Flight Chemical Ionization Mass Spectrometer (NOAA CIMS) during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission for ATom-3 and ATom-4 campaigns. The NOAA CIMS uses chemical ionization mass spectrometric detection of gas phase organic and inorganic analytes via I- adduct formation. Measurements for ATom include N2O5 (dinitrogen pentoxide), ClNO2 (chloro nitrite), Cl2 (Chlorine), HCOOH (formic acid), C2H4O3S (hydroperoxymethyl thioformate), BrCl (bromine monochloride), BrCN (cyanogen bromide), and BrO (bromine monoxide). ATom deploys an extensive gas and aerosol payload on the NASA DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2-13 km altitude. This comprehensive dataset will be used to improve the representation of chemically reactive gases and short-lived climate forcers in global models of atmospheric chemistry and climate.",
         "license": "proprietary"
     },
@@ -143125,7 +146323,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2755668925-ORNL_CLOUD.html",
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         "description": "This data set contains five data files, in comma-separated format (.csv), derived from the Walker Branch Watershed (WBW) vegetation inventory in eastern Tennessee. Field studies of permanent vegetation plots were conducted using one sampling design over a 40-year period (1967 to 2006). The data set contains long-term measurements of diameter at breast height (DBH) determined on stratified randomly-located inventory plots within the 4 different vegetation types (oak-hickory, pine-oak-hickory, pine, and mesophytic hardwoods) located in the WBW in 1967. The WBW plot-level vegetation DBH data are provided in four files. One file contains the complete set of inventory records (139,806 observations). To accommodate spreadsheet use, the complete inventory is split into three files, one containing 52,110 observations and the other two containing 48,231 and 39,465 observations, respectively. The fifth file contains the WBW vegetation species inventory with species names, the numeric species code for each species, a species group designation, the scientific name for each species, and the literature-derived ratio of g lignin/g N for leaves of each species. NPP values have been reported for various forest stands at different locations within the WBW by Olson et al. (2012a, b; DeAngelis et al. (1997); and Esser (1998). Total NPP values range from 380 gC/m2/yr for forest stands dominated by yellow poplar to 790 gC/m2/yr for forest stands dominated by oaks. Revision Notes: This updated vegetation inventory data set includes results of the 2006 survey and updates to previous results based on the latest survey. The 1967-2006 data set completely supersedes the 1967-1997 data set. If you downloaded the 1967-1997 data set before September 3, 2013, you should download the 1967-2006 version at your earliest convenience.",
         "license": "proprietary"
     },
@@ -143164,7 +146362,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751481549-ORNL_CLOUD.html",
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         "description": "The BigFoot project gathered Net Primary Production (NPP) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2004. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. BigFoot was funded by NASA's Terrestrial Ecology Program.For more details on the BigFoot Project, please visit the website: http://www.fsl.orst.edu/larse/bigfoot/index.html.",
         "license": "proprietary"
     },
@@ -144295,7 +147493,7 @@
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         "description": "This data set is generated from brightness temperature data and is designed to provide a consistent time series of sea ice concentrations spanning the coverage of several passive microwave instruments.The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km.  Data coverage began on 26 October 1978 and is ongoing through the most current processing, with updated data processed several times annually.",
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         "description": "This data set consists of brightness temperatures acquired from the Scanning Multichannel Microwave Radiometer (SMMR) on board the Nimbus-7 Pathfinder satellite. The brightness temperatures are gridded onto the Equal-Area Scalable Earth Grid (EASE-Grid) and are presented in three different projections: Northern Hemisphere, Southern Hemisphere, and global.",
         "license": "proprietary"
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         "description": "The Nimbus-5 Electrically Scanning Microwave Radiometer (ESMR) data set consists of gridded brightness temperature arrays for the Arctic and Antarctic, spanning 11 December 1972 through 16 May 1977. The ESMR instrument senses horizontally polarized radiation at a frequency of 19 GHz. The data are gridded to a polar stereographic projection at 25 km resolution and adjusted to partially remove instrument drift and sensitivity shifts. Daily data that could not be adjusted are missing from this data set. Data are in 2-byte integer flat-binary format.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a global record of the daily freeze/thaw status of the landscape. The record is derived from radiometric brightness temperatures acquired between 1979 and 2021 by four satellite-based, passive microwave sensors: the Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave/Imager (SSM/I), the Special Sensor Microwave Imager/Sounder (SSMIS), and the Advanced Microwave Scanning Radiometer 2 (AMSR2).",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains seasonal (winter) ice sheet-wide velocity maps for Greenland. The maps are derived from Interferometric Synthetic Aperture Radar (InSAR) data obtained by the Canadian Space Agency's (CSA) RADARSAT-1, the Japan Aerospace Exploration Agency's (JAXA) Advanced Land Observation Satellite (ALOS), and the German Aerospace Center's (DLR) TerraSAR-X/TanDEM-X (TSX/TDX) satellites, as well as from the European Space Agency's (ESA) C-band Synthetic Aperture Radar data from Copernicus Sentinel-1A and -1B.  See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GIMP)</a> for related data.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides velocity estimates determined from Interferometric Synthetic Aperture Radar (InSAR) data for major glacier outlet areas in Greenland, some of which have shown profound velocity changes over the MEaSUREs observation period. The InSAR Selected Glacier Site Velocity Maps are produced from image pairs measured by the German Aerospace Center's (DLR) twin satellites TerraSAR-X / TanDEM-X (TSX / TDX). The measurements in this data set are provided in addition to the ice sheet-wide data from the related data set, <a href=\"https://nsidc.org/data/nsidc-0478\">MEaSUREs Greenland Ice Sheet Velocity Map from InSAR Data</a>.  See <a href=\"https://nsidc.org/grimp\">Greenland Ice Mapping Project (GrIMP)</a> for more related data.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides the first comprehensive, high-resolution, digital mosaics of ice motion in Antarctica assembled from multiple satellite interferometric, synthetic-aperture radar systems. Data were largely acquired during the International Polar Years 2007 to 2009, as well as between 2013 and 2016. Additional data acquired between 1996 and 2016 were used as needed to maximize coverage.  See <a href=\"https://nsidc.org/data/measures/aiv\">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides 22 years of comprehensive high-resolution mapping of grounding lines in Antarctica from 1992 to 2014. The data were derived using differential satellite synthetic aperture radar interferometry (DInSAR) measurements from the following platforms: Earth Remote Sensing Satellites 1 and 2 (ERS-1 and ERS-2), RADARSAT-1, RADARSAT-2, the Advanced Land Observing System Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR), Cosmo Skymed, and Copernicus Sentinel-1.  See <a href=\"https://nsidc.org/data/measures/aiv\">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of two high-resolution digital mosaics of ice motion in Central Antarctica. The mosaics were assembled from satellite interferometric synthetic-aperture radar (InSAR) data acquired by RADARSAT-1 in 1997 and by RADARSAT-2 in 2009.  See <a href=\"https://nsidc.org/data/measures/aiv\">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, offers users 25 km Northern Hemisphere snow cover extent represented by four different variables. Three of the snow cover variables are derived from the Interactive Multisensor Snow and Ice Mapping System, MODIS Cloud Gap Filled Snow Cover, and passive microwave brightness temperatures, respectively. The fourth variable merges the three source products into a single representation of snow cover.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, offers users weekly 100 km Northern Hemisphere snow cover extent represented by three different variables. Two of the variables are derived from individual source products: the NOAA/NCDC Northern Hemisphere Snow Cover Extent Climate Data Record and Defense Meteorological Satellite Program (DMSP) passive microwave brightness temperatures, respectively. The third variable merges the other two into a single representation of snow cover.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a daily record of Arctic sea ice characteristics for the years 1979 through 2012 derived from passive microwave brightness temperatures. Characteristics include  the location of sea ice cover, sea ice age, day of melt onset, and status of melt onset. Data are gridded in the 25 km Equal-Area Scalable Earth Grid (EASE-Grid) 2.0 and provided as netCDF files.",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, offers users a 25 km daily record of surface/near-surface melting on the Greenland Ice Sheet. The presence of melting is determined from brightness temperature data acquired during a 34 year span by three satellite-borne microwave radiometers: the Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave/Imager (SSM/I), and the Special Sensor Microwave Imager/Sounder (SSMIS).",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, reports the location of Northern Hemisphere snow cover and sea ice extent, the status of melt onset across Greenland and Arctic sea ice, and the level of agreement between three different snow cover data sources.",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, reports the location of Northern Hemisphere snow cover and sea ice extent, the status of melt onset across Greenland and Arctic sea ice, and the level of agreement between snow cover maps derived from two different sources.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including the Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.  See <a href=\"https://nsidc.org/data/measures/aiv\">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of two digital Greenland image maps each for the 2005, 2010, and 2015 measurement periods: the MOG Surface Morphology Image Map and the MOG Grain Size Image Map. The image maps are constructed from MODIS imagery acquired during 2005, 2010, and 2015 and provide nearly cloud-free views of all land areas and islands larger than a few hundred meters, including the ice caps on Baffin Island, Devon Island, Axel Heiberg Island, and Ellesmere Island.",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, is an improved, enhanced-resolution, gridded passive microwave Earth System Data Record (ESDR) for monitoring cryospheric and hydrologic time series from SMMR, SSM/I-SSMIS, and AMSR-E. It is derived from the most mature and available Level-2 satellite passive microwave records from 1978 through the present.",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2139015179-NSIDC_ECS.html",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of annual, digitized (polyline) ice front positions for 239 outlet glaciers in Greenland. Ice front positions are derived from Sentinel-1A, Sentinel-1B, and RADARSAT-1 synthetic aperture radar (SAR) mosaics, plus imagery from Landsat 1 through Landsat 5 and Landsat 7 and Landsat 8. Although temporal coverage varies by glacier, data are available for the winter seasons 1972\u20131973 through 2020\u20132021. Data are provided as shapefiles.  See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GrIMP)</a> for related data.",
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         "description": "This data set consists of an enhanced resolution digital elevation model (DEM) for the Greenland Ice Sheet. It was constructed by combining ASTER and SPOT 5 DEMs over the ice sheet periphery and margin with AVHRR photoclinometry for the interior and far north, and calibrating the data to approximate mean ICESat/GLAS elevations from 2003 to 2009.   See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GIMP)</a> for related data.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of mean monthly velocity maps for selected glacier outlet areas. The maps are generated by tracking visible features between optical image pairs acquired by the Landsat 4 and 5 Thematic Mapper (TM), the Landsat 7 Enhanced Thematic Mapper Plus (ETM+), the Landsat 8 Operational Land Imager (OLI), and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER).  See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GIMP)</a> for related data.",
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         "description": "This data set contains data obtained by the Passive Active L- and S-band (PALS) microwave aircraft instrument that are matched up with a variety of soil moisture campaign data. The data were collected as part of four different campaigns: Southern Great Plains 1999 (SGP99), Cloud and Land Surface Interaction Campaign 2007 (CLASIC07), Soil Moisture Experiment 2002 (SMEX02), and the SMAP Validation Experiment 2008 (SMAPVEX08).",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a multi-year ice-sheet-wide velocity mosaic for Greenland, derived from Interferometric Synthetic Aperture Radar (InSAR), Synthetic Aperture Radar (SAR), and Landsat 8 optical imagery data.  See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GIMP)</a> for related data.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides maps of Antarctic ice shelves, Antarctic basins, and the Antarctic coastline. The maps are assembled from 2008-2009 ice-front data from the Japan Aerospace Exploration Agency's (JAXA) ALOS PALSAR and European Space Agency's ENVISAT ASAR data, acquired during International Polar Years 2007-2009 (IPY); the InSAR-based grounding line data (MEaSUREs Antarctic Grounding Line from Differential Satellite Radar Interferometry), augmented with other grounding line sources; the Antarctic ice velocity map (MEaSUREs InSAR-Based Antarctica Ice Velocity Map); and the Bedmap-2 DEM.  See <a href=\"https://nsidc.org/data/measures/aiv\">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.",
         "license": "proprietary"
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         "description": "SMAP radiometer and radar soil moisture data products are matched with in situ-based soil moisture estimates from core validation sites to produce this data set. These data provide performance assessments of various SMAP soil moisture products.",
         "license": "proprietary"
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@@ -146232,7 +149430,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1602494076-NSIDC_ECS.html",
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         "description": "This data set, part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a complete 15 m resolution image mosaic of the Greenland ice sheet, derived from USGS Landsat 7 ETM+ imagery and Canadian Space Agency's (CSA) RADARSAT-1 imagery from the years 1999 to 2002. Additional bands (some at 30 m resolution) are provided for each tile in the mosaic and are useful for understanding surface properties, such as snow grain size, bedrock outcrops, mapping layering in the snow, and blue ice or lake-filled regions, during the spring and summer months. The panchromatic (band 8) mosaic provides the highest-resolution view of the ice sheet surface at 15 m, resolving topographic features, large crevasses, and other geophysical structures.  See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GIMP)</a> for related data.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1729194107-NSIDC_ECS.html",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a complete land ice and ocean classification mask for the Greenland ice sheet, that was mapped using a combination of USGS Landsat 7 ETM+ panchromatic band imagery, and the Canadian Space Agency's (CSA) RADARSAT-1 Synthetic Aperture Radar (SAR) amplitude images.   See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GIMP)</a> for related data.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2295286903-NSIDC_ECS.html",
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         "description": "This data set consists of an enhanced resolution digital elevation model (DEM) for the Greenland Ice Sheet, derived from sub-meter resolution, panchromatic stereoscopic imagery collected by the GeoEye-1, WorldView-1, -2, and -3 satellites operated by Maxar Technologies.  The DEM was created from in-track image pairs (i.e., both images collected minutes apart along the same orbital pass) and cross-track images (i.e., from different orbits) within the in-track imaging geometry and maximum time separation criteria. The DEM is registered to ATLAS/ICESat-2 L3A Land Ice Height, Version 5 (ATL06, V5) data collected in the summers of 2019 and 2020.  See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GrIMP)</a> for related data",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2245171699-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2245171699-NSIDC_ECS.html",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides annual maps of Antarctic ice velocity. The maps are assembled using SAR data from the Japanese Space Agency's (JAXA) ALOS PALSAR, the European Space Agency's (ESA) ENVISAT ASAR and Copernicus Sentinel-1, the Canadian Space  Agency's (CSA) RADARSAT-1, RADARSAT-2, the German Aerospace Agency's (DLR) TerraSAR-X (TSX) and TanDEM \u2013X (TDX), and the U.S. Geological Survey's (USGS) Landsat-8 optical imagery..  See <a href=\"https://nsidc.org/data/measures/aiv\">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2074946965-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2074946965-NSIDC_ECS.html",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of 6-day and 12-day 50 m resolution image mosaics of the Greenland coastline and ice sheet periphery. The mosaics are derived from C-band Synthetic Aperture Radar (C-SAR) acquired by the Copernicus Sentinel-1A and -1B satellites.  See <a href=\"http://nsidc.org/grimp\">Greenland Ice Mapping Project (GrIMP)</a> for related data sets.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1524053173-NSIDC_ECS.html",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of monthly image mosaics of the Greenland coastline and ice sheet periphery constructed from composited MODIS imagery.  See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GIMP)</a> for related data.",
         "license": "proprietary"
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@@ -146336,7 +149534,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2816704526-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2816704526-NSIDC_ECS.html",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains annual ice velocity mosaics for the Greenland Ice Sheet. Velocities are derived from synthetic aperture radar (SAR) data, obtained by TerraSAR-X/TanDEM-X and Sentinel-1A and -1B, and from optical imagery acquired by Landsat 8 and Landsat 9. See <a href=\"http://nsidc.org/data/measures/gimp\">Greenland Ice Mapping Project (GrIMP)</a> for related data.",
         "license": "proprietary"
     },
@@ -146362,7 +149560,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2627036252-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2627036252-NSIDC_ECS.html",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains quarterly (three-month interval) ice velocity mosaics for the Greenland Ice Sheet. This data set is derived from Synthetic Aperture Radar (SAR) data, obtained by TerraSAR-X/TanDEM-X and Sentinel-1A and -1B, and from optical imagery acquired by Landsat 8 and Landsat 9.  See <a href=\"https://nsidc.org/grimp\">Greenland Ice sheet Mapping Project (GrIMP)</a> for related data.",
         "license": "proprietary"
     },
@@ -146375,7 +149573,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2627046644-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2627046644-NSIDC_ECS.html",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains monthly ice velocity mosaics for the Greenland Ice Sheet. The data are derived from Synthetic Aperture Radar (SAR) data, obtained by TerraSAR-X/TanDEM-X and Sentinel-1A and -1B, and from optical imagery acquired by Landsat 8 and Landsat 9.  See <a href=\"http://nsidc.org/grimp\">Greenland Ice sheet Mapping Project (GrIMP)</a> for related data.",
         "license": "proprietary"
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@@ -146388,7 +149586,7 @@
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         "description": "This data set, as part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, combines interferometric phases from multiple satellite interferometric synthetic-aperture radar systems to derive the first comprehensive phase-based map of Antarctic ice velocity. The precision in ice speed and flow direction over 80% of Antarctica is better than prior mappings based on feature and speckle tracking by a factor of 10. Phase-derived velocity mostly covers the years between 2007 and 2018, while tracking-derived velocity (for regions along the coasts) is mostly found in the years from 2013 to 2017. Additional data acquired between 1996 and 2018 were used as needed to maximize coverage.  See <a href=\"https://nsidc.org/data/measures/aiv\">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a bed topography/bathymetry map of Antarctica based on mass conservation, streamline diffusion, and other methods. The data set also includes ice thickness, surface elevation, an ice/ocean/land mask, ice thickness estimation errors, and a map showing where each method was utilized.",
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of three as-complete-as-possible mosaic maps of velocities on the Antarctic ice sheet for the time periods 1995\u20132001, 2007\u20132009, and 2014\u20132017. The maps are posted at 450 m in the WGS 84/Antarctic Polar Stereographic projection.   In addition to ice velocity, the data set provides maps of velocity error and standard deviation; counts of velocity estimates used per pixel; date ranges; and masks that delineate the ice fronts and grounding lines for the each period.",
         "license": "proprietary"
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         "description": "This data set contains 6 and 12 day surface velocity estimates for the Greenland Ice Sheet and periphery derived from images acquired between 2015\u20132021 by the European Space Agency (ESA) Copernicus Sentinel-1A and Sentinel-1B satellites.",
         "license": "proprietary"
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains 6 and 12 day surface velocity estimates for the Greenland Ice Sheet and periphery. Velocities are derived from images acquired by the European Space Agency (ESA) Copernicus Sentinel-1A and Sentinel-1B satellites.  See <a href=\"http://nsidc.org/grimp\">Greenland Ice Mapping Project (GrIMP)</a> for related data sets.",
         "license": "proprietary"
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         "description": "This data set contains twice-daily synthetic aperture radar (SAR) and enhanced-resolution scatterometer radar backscatter derived from SMAP radar data. Data are available on the Northern Hemisphere, Southern Hemisphere, Temperate, and Mid-Latitude (sub-set of Global) EASE-Grid 2.0 projections and as either 25 km or 3.125 km resolution grids. This new product uses the drop-in-the bucket gridding (GRD) algorithm and Scatterometer Image Reconstruction (SIR) algorithm to process the individual swath-based data from the input data sets into twice-daily images, producing SAR images (high-resolution), slice and footprint images (both lower-resolution), respectively. Note, that as a companion product, the radiometer form of the SIR algorithm (rSIR) was used to derive brightness temperatures from SMAP radiometer data for the <i>SMAP Radiometer Twice-Daily rSIR-Enhanced EASE-Grid 2.0 Brightness Temperatures, Version 2</i>, data set (<a href=\"https://nsidc.org/data/nsidc-0738\">NSIDC-0738</a>).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2341384722-NSIDC_ECS.html",
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         "description": "This data set, part of NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of ice velocities at 240 m resolution, generated from Landsat 4, 5, 7, and 8 optical image pairs. Velocities were derived using the autonomous Repeat Image Feature Tracking algorithm (autoRIFT) processing chain. Data are available for all land ice areas larger than 5 square km, spanning the period from 1985 to 2018 (subject to image availability and quality). Data scarcity and/or low radiometric quality are significant limiting factors for many regions during the earlier years of the data record. Annual, global coverage is nearly complete after the 2013 launch of Landsat 8.",
         "license": "proprietary"
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         "description": "This data set from the Inter-Mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project, part of NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of regionally compiled, mean annual surface velocities for major glacier-covered regions, derived from Landsat 4, 5, 7, and 8 imagery. Data are available from 1985 to 2018. Data availability is significantly limited prior to 2013 due to image scarcity and low image quality; however annual coverage is nearly complete for the years following the Landsat 8 launch in 2013.",
         "license": "proprietary"
     },
@@ -146557,7 +149755,7 @@
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         "description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of surface velocity estimates for selected Greenland Ice Sheet outlet glaciers. Velocity fields were generated by tracking visible features in optical images acquired by the U.S. Geological Survey (USGS) Landsat 8 Operational Land Imager (OLI) and the European Space Agency (ESA) Copernicus Sentinel-2A and Sentinel-2B satellites.",
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         "description": "This data set provides a comprehensive map for the Antarctic Ice Sheet of the short-term zone of migration of the grounding line (i.e., the transition boundary between grounded ice and ice floating in the ocean waters) over a given period due to changes in oceanic tide. This short-term variation in the grounding line is referred to in this data set as the \u201cgrounding zone.\u201d The grounding zone is presented as polylines in an ESRI shapefile indicating the upstream and downstream bound of the variation in the grounding line for a given year. The data is based on an automatic delineation of thousands of grounding lines using Sentinel-1 A/B interferometric synthetic aperture radar (InSAR) data with a machine learning algorithm and supplemented by grounding lines from COSMO SkyMed InSAR data.",
         "license": "proprietary"
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         "description": "This data product contains global daily 1 km resolution surface soil moisture derived from the SMAP L-band radiometer. Specifically, MODIS land surface temperature data is used with the SMAP Enhanced L2radiometer Half-Orbit 9 km EASE-Grid Soil Moisture product in a downscaling algorithm to estimate soil moisture. The data set is validated by in situ soil moisture measurements from dense soil moisture networks representing different global land cover types.",
         "license": "proprietary"
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         "description": "This data set consists of sub-seasonal, digitized (polyline) ice front positions for 219 outlet glaciers in Greenland. For 199 glaciers, ice front positions are digitized at a monthly resolution. For 20 glaciers in northwestern Greenland, ice front positions are digitized at a 6-12 day resolution, depending on the availability of satellite imagery. Ice front positions are derived from Sentinel-1A and Sentinel-1B synthetic aperture radar (SAR) mosaics.",
         "license": "proprietary"
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         "description": "This data product contains monthly ice sheet elevation change data for Antarctica derived from five radar altimetry missions (Geosat, ERS-1 and -2, Envisat and CryoSat-2) and two laser altimetry missions (ICESat and ICESat-2). Each time step and grid node includes relative error estimates and a quality flag that can be used to filter the data in space and time. The product is also provided with an estimate of static topography in the form of a digital elevation model (DEM), which was used to estimate monthly ice sheet elevation change. With a temporal coverage of 17 April 1985 to 16 December 2020, this product can be used to determine changes in ice sheet mass balance over time.",
         "license": "proprietary"
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         "description": "This data set provides twice-daily enhanced-resolution radar backscatter images from 14 GHz NASA Scatterometer (NSCAT) observations by applying the Scatterometer Image Reconstruction with Filtering (SIRF) algorithm. The algorithm incorporates a median filter and a simplified spatial response function. Multiple passes of the spacecraft are combined to produce a higher spatial resolution and fill in coverage gaps between the individual measurement footprints, which are not contiguous and have six-sided shapes. Overlapping imaging periods start each day and extend through 4- and 8-day periods. Data are gridded to Northern Hemisphere, Southern Hemisphere, and Temperate EASE-Grid 2.0 projections at 3.125 km and 25 km resolutions.",
         "license": "proprietary"
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         "description": "This product contains twice-daily radar backscatter data collected at 14.6 GHz for horizontal-horizontal and vertical-vertical receive radar channels from the SeaSat-A satellite scatterometer (SASS) sensor. Data are available on the Northern Hemisphere, Southern Hemisphere, and Temperate EASE-Grid 2.0 projections as either 25 km or 3.125 km resolution grids. The data set uses the drop-in-the bucket gridding (GRD) and Scatterometer Image Reconstruction (SIR) algorithms to process the individual swath-based data into twice-daily morning and evening images. The GRD algorithm produces SAR images (high-resolution) on a 25 km grid and the SIR algorithm produces slice and footprint images (both lower-resolution) on a 3.125 km grid, provided at 8-,16-, 32-day imaging intervals. The data coverage is global from 7 July 1978 through 10 Oct 1978.",
         "license": "proprietary"
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         "description": "This data set presents new global snow cover classification regimes derived from the MODIS Terra cloud gap-filled NDSI data (<a href=\"https://nsidc.org/data/mod10a1f/versions/61\">MOD10A1F</a>), elevation, and temperature climatology inputs. The six data granules are available as NetCDF (.nc) files, with each containing a unique snow cover classification spanning 2001 to 2023. The six classifications included in this data set are: (1) snow class climatology (SSC), (2) core snow season length (CSS), (3) snow cover duration (SCD), (4) full snow season length (FSS), (5) snow persistence (SP), and (6) snow season persistence (SSP).",
         "license": "proprietary"
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@@ -146700,7 +149898,7 @@
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         "description": "This ITS_LIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, includes quarterly estimates of Antarctic ice shelf surface elevation, thickness, basal melt rate, surface mass balance, firn air content, and associated errors, from 17 March 1992 through 16 December 2017 at 1920 m resolution.  The data were generated from four European Space Agency (ESA) satellite radar altimetry missions\u2014ERS-1, ERS-2, Envisat, and CryoSat-2\u2014using a novel data fusion approach and the Glacier Energy and Mass Balance model (GEMB).",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3177912929-NSIDC_ECS.html",
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         "description": "This ITS_LIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains monthly, 120 m resolution ice masks for the Greenland Ice Sheet from 1972 to 2022. The presence of ice was determined from 237,556 manually and AI-derived terminus positions acquired by satellite optical and radar observations. Months with no observations have been gap-filled using past and future observations of terminus positions and advance rates constrained by the average flow speed of the glacier.  Animations are also available for 206 catchments that show how the ice front positions have changed over the course of the time series and can be used as a quality control check.",
         "license": "proprietary"
     },
@@ -146726,7 +149924,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3179071550-NSIDC_ECS.html",
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         "description": "This ITS_LIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of 240 m Antarctic Ice Sheet extent masks at roughly annual resolution from 1997 through 2021. The ice masks were generated by combining data acquired by multiple satellite-borne optical, thermal, and radar sensors. The ice thickness and velocity data used to determine the presence of ice are also provided.",
         "license": "proprietary"
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@@ -146947,7 +150145,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773252856-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773252856-ORNL_CLOUD.html",
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         "description": "The New Hampshire Geographically Referenced Analysis and Information Transfer System (GRANIT) land cover data set provides a land cover and land use product at 30-m resolution with 23 individual classes across the state. The classification is based largely on the analysis of 12 Landsat Thematic Mapper (TM and ETM+) images. Over 1,400 new classification training site data points were collected to supplement 1,200 archived sites from previous projects. The classification represents a snapshot in time from 1996 to 2001.  This time range spans the dates of the most recent acquisitions of a TM scene for each region of the state and the dates of the most recent field data collection.",
         "license": "proprietary"
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@@ -146960,7 +150158,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021650-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021650-ORNL_CLOUD.html",
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         "description": "This dataset provides chlorophyll fluorescence measurements made on pine and spruce needle tissues at the Niwot Ridge AmeriFlux Core site (US-NR1) near Nederland, Colorado, USA, during the summers of 2017 and 2018. Two types of measurements were made using pulse-amplitude-modulation (PAM) fluorometry: the photosystem II (PSII) operating efficiency in the light (Fq'/Fm' at variable light levels), and the maximum quantum efficiency of PSII photochemistry (Fv/Fm) on dark-acclimated tissues. Chlorophyll fluorescence measurements were made to determine seasonality of photosynthetic performance at the needle level.",
         "license": "proprietary"
     },
@@ -146973,7 +150171,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021615-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021615-ORNL_CLOUD.html",
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         "description": "This dataset provides concentrations of pigments in pine and spruce needle tissues collected at the Niwot Ridge AmeriFlux Core site (US-NR1) near Nederland, Colorado, USA, during the summers of 2017 and 2018. Pigments measured included Chlorophyll A and B, Violaxanthin, Antheraxanthin, Zeaxanthin, Neoxanthin, Lutein, and beta-Carotene. Measurements were made on sun foliage from two canopy-access towers near the main flux tower, and in the laboratory on branches collected from those towers, every 4-8 weeks over the annual cycle. Due to canopy structure, a limited number of trees were accessible from the towers, preventing extensive replication. Pigments were extracted in acetone and analyzed by HPLC. The measurements were made to evaluate seasonal changes associated with the down-regulation of photosynthesis.",
         "license": "proprietary"
     },
@@ -146986,7 +150184,7 @@
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         "description": "The Nimbus Advanced Vidicon Camera System Visible Imagery L1, HDF5 (NmAVCS1H) data set consists of black-and-white images captured by the Advanced Vidicon Camera Systems onboard the Nimbus 1 (1964) and Nimbus 2 (1966) satellites. Data are provided as HDF5-formatted files. Browse images are also available.",
         "license": "proprietary"
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         "description": "This data set (NmAVCS3G) consists of daily image composites constructed from Nimbus 1 (1964) and Nimbus 2 (1966) Advanced Vidicon Camera System (AVCS) imagery for the region between 60 N and 60 S. Data are provided as GeoTIFFs. For the HDF5 formatted version of these data, see <a href=\"http://dx.doi.org/10.5067/NIMBUS/NmAVCS3H\">Nimbus Advanced Vidicon Camera System Remapped Visible Imagery Daily L3, HDF5</a>.",
         "license": "proprietary"
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         "description": "This data set (NmAVCS3H) consists of daily, global image composites constructed from Nimbus 1 (1964) and Nimbus 2 (1966) Advanced Vidicon Camera System (AVCS) imagery. Each composite is provided as a set of three HDF5-formatted files: separate North and South Polar projections in the 5 km Equal-Area Scalable Earth Grid (EASE-Grid) and an equatorial projection in a 10 km equidistant grid for the region between 60 N and 60 S.",
         "license": "proprietary"
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@@ -147025,7 +150223,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1696506410-NSIDC_ECS.html",
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         "description": "The Nimbus High Resolution Infrared Radiometer Digital Swath Data L1, HDF data set (NmHRIR1H) consists of High Resolution Infrared Radiometer (HRIR) brightness temperatures obtained by the Nimbus 1, Nimbus 2, and Nimbus 3 satellites during 1964, 1966, and 1969. A correction has been applied to minimize seemingly random alignment errors that caused clouds edges and land features to appear jagged in the original 1960s data.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1703453177-NSIDC_ECS.html",
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         "description": "This data set consists of daily, global grayscale TIFF images derived from radiative temperatures measured in the 3.4 to 4.2 \u00b5m window. These data were detected by the High Resolution Infrared Radiometer (HRIR) on board the Nimbus 1, Nimbus 2, and Nimbus 3 satellites during 1964, 1966, and 1969-1970. The Nimbus HRIR sensor was used to map the earth's nighttime cloud cover and to measure cloud top temperatures or surface temperatures. Note: This data set is not georeferenced and contains some gaps in temporal coverage because of missing data.",
         "license": "proprietary"
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@@ -147051,7 +150249,7 @@
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         "description": "This data set (NmHRIR3G) consists of daily composites constructed from Nimbus 1, Nimbus 2, and Nimbus 3 satellites High Resolution Infrared Radiometer (HRIR) data for the region between 60 N and 60 S. Measurements were obtained during 1964, 1966, and 1969. Data are available as GeoTIFFs and browse images. For the HDF5 formatted version of these data, see the <a href=\"http://dx.doi.org/10.5067/NIMBUS/NmHRIR3H\">Nimbus High Resolution Infrared Radiometer Remapped Digital Data Daily L3, HDF5</a> data set.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1690336970-NSIDC_ECS.html",
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         "description": "This data set (NmHRIR3H) consists of daily, global composites of High Resolution Infrared Radiometer (HRIR) data obtained by the Nimbus 1, Nimbus 2, and Nimbus 3 satellites during 1964, 1966, and 1969. Each composite is provided as a set of three HDF5-formatted files: separate North and South Polar projections in the 10 km Equal-Area Scalable Earth Grid (EASE-Grid) and an equatorial projection in a 20 km equidistant grid for the region between 60 N and 60 S. Browse images are also available.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1609529618-NSIDC_ECS.html",
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         "description": "The Nimbus Image Dissector Camera System Visible Imagery L1, HDF5 (NmIDCS1H) data set consists of black-and-white images captured by the Image Dissector Camera Systems (IDCSs) onboard the Nimbus 3 and Nimbus 4 satellites. Data are provided as HDF5-formatted files. Browse images are also available.",
         "license": "proprietary"
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@@ -147090,7 +150288,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1609635077-NSIDC_ECS.html",
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         "description": "This data set (NmIDCS3G) consists of daily, global image composites constructed from Nimbus 3 and Nimbus 4 Image Dissector Camera System (IDCS) imagery for the region between 60 N and 60 S. Images were acquired between 23 April, 1969 - 04 January, 1971. Data are available as GeoTIFFs and browse images. For HDF5 formatted version of these data, see <a href=\"http://dx.doi.org/10.5067/NIMBUS/NmIDCS3H\">Nimbus Image Dissector Camera System Remapped Visible Imagery Daily L3, HDF5</a>.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1609527648-NSIDC_ECS.html",
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         "description": "This data set (NmIDCS3H) consists of daily, global image composites constructed from Nimbus 3 and Nimbus 4 Image Dissector Camera System (IDCS) imagery captured from 23 April, 1969 - 04 April, 1971.",
         "license": "proprietary"
     },
@@ -147116,7 +150314,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000001360-NSIDC_ECS.html",
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         "description": "This data set (NmIcEdg2) estimates the location of the North and South Pole sea ice edges at various times during the mid to late 1960s, based on recovered Nimbus 1 (1964), Nimbus 2 (1966), and Nimbus 3 (1969) visible imagery.",
         "license": "proprietary"
     },
@@ -147129,7 +150327,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1701043553-NSIDC_ECS.html",
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         "description": "This data set (NmTHIR115-1H) consists of daily, global radiative temperatures measured in the 11.5 \u00b5m window (10.5 \u00b5m - 12.5 \u00b5m) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. This window was used to measure cloud top or surface temperatures.",
         "license": "proprietary"
     },
@@ -147142,7 +150340,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1703456255-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1703456255-NSIDC_ECS.html",
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         "description": "This data set provides environmental, soil, and vegetation data collected in July and August 1951 from 80 study plots in the Nome River Valley about 10 miles northeast of Nome, Alaska on the Seward Peninsula. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in plant communities that were found to occur in 5 broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species and cover, and soil characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping and analysis of geo-botanical factors in the Nome River Valley and across Alaska.",
         "license": "proprietary"
     },
@@ -147259,7 +150457,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2761798565-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761798565-ORNL_CLOUD.html",
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         "description": "This dataset provides georeferenced polygon vectors of individual tree canopy geometries for dryland areas in West African Sahara and Sahel that were derived using deep learning applied to 50-cm resolution satellite imagery. More than 1.8 billion non-forest trees (i.e., woody plants with a crown size over 3 m2) over about 1.3 million km2 were identified from panchromatic and pansharpened normalized difference vegetation index (NDVI) images at 0.5-m spatial resolution using an automatic tree detection framework based on supervised deep-learning techniques. Combined with existing and future fieldwork, these data lay the foundation for a comprehensive database that contains information on all individual trees outside of forests and could provide accurate estimates of woody carbon in arid and semi-arid areas throughout the Earth for the first time.",
         "license": "proprietary"
     },
@@ -147272,7 +150470,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403370-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403370-ORNL_CLOUD.html",
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         "description": "This dataset provides a synthesis of winter ( September-April) in situ soil CO2 flux measurement data from locations across pan-Arctic and Boreal permafrost regions. The in situ data were compiled from 66 published and 21 unpublished studies conducted from 1989-2017. The data sources (publication references) are provided. Sampling sites spanned pan-Arctic Boreal and tundra regions (>53 Deg N) in continuous, discontinuous, and isolated/sporadic permafrost zones. The CO2 flux measurements were aggregated at the monthly level, or seasonally when monthly data were not available, and are reported as the daily average (g C m-2 day-1) over the interval. Soil moisture and temperature data plus environmental and ecological model driver data (e.g., vegetation type and productivity, soil substrate availability) are also included based on gridded satellite remote sensing and reanalysis sources.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2240727916-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2240727916-ORNL_CLOUD.html",
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         "description": "This dataset includes hourly net ecosystem exchange (NEE) simulated by the Tundra Vegetation Photosynthesis and Respiration Model (TVPRM) at 30 km horizontal resolution for the Alaskan North Slope for 2008-2017. TVPRM calculates tundra NEE from air temperature, soil temperature, photosynthetically active radiation (PAR), and solar-induced chlorophyll fluorescence (SIF) using functional relationships derived from eddy covariance tower measurements. These relationships were then scaled over the region using gridded meteorology and a vegetation map. The site-level CO2 fluxes fell into two distinct ecosystem groups: inland tundra (ICS, ICT, ICH, IVO) and coastal tundra (ATQ, BES, BEO, CMDL). The expanded modeling framework allowed for the easy substitution of ecological behaviors and environmental drivers, including the choice of representative inland tundra site, coastal tundra site, vegetation map (CAVM, RasterCAVM, or ABoVE-LC), meteorological reanalysis product (NARR or ERA5), and SIF product (GOME2, GOSIF, or CSIF). Using all of these variations generated an ensemble of 288 different TVPRM simulations of regional CO2 flux and one additional simulation option with added aquatic and zero curtain fluxes (AqZC).",
         "license": "proprietary"
     },
@@ -147337,7 +150535,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162118968-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162118968-ORNL_CLOUD.html",
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         "description": "This dataset includes vegetation cover maps, Normalized Difference Vegetation Index (NDVI) maps, snow depth and thaw depth data that were obtained as part of a biocomplexity project on the North Slope of Alaska, USA, and the Northwest Territories (NWT), Canada. In Alaska, seven sites are located along the Dalton Highway and in the Prudhoe Bay Oilfield area, forming a transect across the climate gradient of the North Slope. From South to North, the sites are Happy Valley, Sagwon (an acidic and nonacidic site), Franklin Bluffs, Deadhorse, West Dock and Howe Island. Four sites are in the NWT, forming a latitudinal gradient from South to North; the sites include Inuvik, Green Cabin, Mould Bay, and Isachsen.",
         "license": "proprietary"
     },
@@ -147350,7 +150548,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162119253-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162119253-ORNL_CLOUD.html",
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         "description": "This dataset provides vegetation cover and environmental plot and soil data collected at flux tower sites of the North Slope Arctic System Science/Land-Atmosphere-Ice Interactions (ARCSS/LAII) project in August of 1995 and 1996. The 19 ARCSS/LAII flux tower sites are located along a North-South transect from near Prudhoe Bay to the foothills of the Brooks Range on the North Slope of Alaska. At 17 of the flux tower sites, one or more vegetation plots (29 total) were established and measurements including (1) plant species cover for the major vegetation types using the Braun-Blanquet approach, (2) plot environmental data, and (3) soil profile descriptions were recorded. In addition, at all 19 sites, plant growth form composition and cover were surveyed using a point sampling technique along multiple transects within selected plots.",
         "license": "proprietary"
     },
@@ -147363,7 +150561,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969582-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969582-ORNL_CLOUD.html",
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         "description": "This data set provides four land cover and ecosystem classification maps for northern Alaska. The maps were produced for several projects and from different data sources including Landsat imagery and existing maps and models, and cover a range of ecosystem and vegetation classes. The data used to derive the maps covered the period 1976-08-04 to 2014-09-01.",
         "license": "proprietary"
     },
@@ -149937,7 +153135,7 @@
         "bbox": "-168, -35, 27, 88",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1959080871-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1959080871-NSIDC_ECS.html",
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         "description": "This data set contains geotagged images captured by NASA Digital Mapping Cameras, which were mounted alongside the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter.",
         "license": "proprietary"
     },
@@ -150006,19 +153204,6 @@
         "description": "This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 AERUV product OMAERUV. This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 Aerosol product OMAERUV. OMAERUVG data product is a special Level-2 gridded product where pixel level products are binned into 0.25x0.25 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMAERUVG files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits mapped on the Global 0.25x0.25 deg Grids. The maximum file size for the OMAERUVG data product is about 50 Mbytes.",
         "license": "proprietary"
     },
-    {
-        "id": "OMAERUV_003",
-        "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC",
-        "catalog": "GES_DISC STAC Catalog",
-        "state_date": "2004-10-01",
-        "end_date": "",
-        "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.html",
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-        "description": "The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).  The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes.",
-        "license": "proprietary"
-    },
     {
         "id": "OMAERUV_003",
         "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT",
@@ -150032,6 +153217,19 @@
         "description": "The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ ",
         "license": "proprietary"
     },
+    {
+        "id": "OMAERUV_003",
+        "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC",
+        "catalog": "GES_DISC STAC Catalog",
+        "state_date": "2004-10-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.html",
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+        "description": "The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).  The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes.",
+        "license": "proprietary"
+    },
     {
         "id": "OMAERUV_004",
         "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V004 (OMAERUV) at GES DISC",
@@ -150149,19 +153347,6 @@
         "description": "This Level-2G daily global gridded product OMCLDRRG is based on the pixel level OMI Level-2 CLDRR product OMCLDRR. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner. OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMCLDRRG data products are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes.",
         "license": "proprietary"
     },
-    {
-        "id": "OMCLDRR_003",
-        "title": "OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 (OMCLDRR) at GES DISC",
-        "catalog": "GES_DISC STAC Catalog",
-        "state_date": "2004-10-01",
-        "end_date": "",
-        "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966791-GES_DISC.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966791-GES_DISC.html",
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-        "description": "The reprocessed Aura Ozone Monitoring Instrument (OMI) Version 003 Level 2 Cloud Data Product OMCLDRR is available to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering).  This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner.  The OMCLDRR files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes.",
-        "license": "proprietary"
-    },
     {
         "id": "OMCLDRR_003",
         "title": "OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 NRT",
@@ -150175,6 +153360,19 @@
         "description": "The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml . A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/",
         "license": "proprietary"
     },
+    {
+        "id": "OMCLDRR_003",
+        "title": "OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 (OMCLDRR) at GES DISC",
+        "catalog": "GES_DISC STAC Catalog",
+        "state_date": "2004-10-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966791-GES_DISC.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966791-GES_DISC.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgY2hsb3JpbmUgZGlveGlkZSAob2NsbykgdG90YWwgY29sdW1uIDEtb3JiaXQgbDIgc3dhdGggMTN4MjQga20gdjAwMyAob21vY2xvKSBhdCBnZXMgZGlzY1wiLFwiR0VTX0RJU0NcIixcIk9NT0NMT1wiLFwiM1wiLDEyMzk5NjY4MjksMzldIiwidW1tIjoiW1wib21pL2F1cmEgY2hsb3JpbmUgZGlveGlkZSAob2NsbykgdG90YWwgY29sdW1uIDEtb3JiaXQgbDIgc3dhdGggMTN4MjQga20gdjAwMyAob21vY2xvKSBhdCBnZXMgZGlzY1wiLFwiR0VTX0RJU0NcIixcIk9NT0NMT1wiLFwiM1wiLDEyMzk5NjY4MjksMzldIn0%3D/OMCLDRR_003",
+        "description": "The reprocessed Aura Ozone Monitoring Instrument (OMI) Version 003 Level 2 Cloud Data Product OMCLDRR is available to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering).  This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner.  The OMCLDRR files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes.",
+        "license": "proprietary"
+    },
     {
         "id": "OMCLDRR_004",
         "title": "OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V004 (OMCLDRR) at GES DISC",
@@ -151163,19 +154361,6 @@
         "description": "This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2.  OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm, and ancillary parameters, e.g., UV aerosol index, cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and quality flags.  The OMSO2G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 146 Mbytes.",
         "license": "proprietary"
     },
-    {
-        "id": "OMSO2_003",
-        "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT",
-        "catalog": "OMINRT STAC Catalog",
-        "state_date": "2004-07-15",
-        "end_date": "",
-        "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMSO2_003",
-        "description": "The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura  satellite on July 15, 2004 (1:38 pm equator crossing time, ascending  mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal  investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal  Netherlands Meteorological Institute). OMI is designed to monitor  stratospheric and tropospheric ozone, clouds, aerosols and smoke from  biomass burning, SO2 from volcanic eruptions, and key tropospheric  pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI  sensor counts, calibrated and geolocated radiances, and all derived  geophysical atmospheric products will be archived at the NASA Goddard  DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly  available from NASA GSFC Earth Sciences (GES) Data and Information  Services Center (DISC) for public access.  OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm. It also contains quality flags, geolocation and other ancillary information.        The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu).       OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and   documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php )             For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/.       For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below.       http://disc.sci.gsfc.nasa.gov/Aura/       http://disc.gsfc.nasa.gov/acdisc/",
-        "license": "proprietary"
-    },
     {
         "id": "OMSO2_003",
         "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC",
@@ -151189,6 +154374,19 @@
         "description": "The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources.  Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li.  The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds.",
         "license": "proprietary"
     },
+    {
+        "id": "OMSO2_003",
+        "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT",
+        "catalog": "OMINRT STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMSO2_003",
+        "description": "The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura  satellite on July 15, 2004 (1:38 pm equator crossing time, ascending  mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal  investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal  Netherlands Meteorological Institute). OMI is designed to monitor  stratospheric and tropospheric ozone, clouds, aerosols and smoke from  biomass burning, SO2 from volcanic eruptions, and key tropospheric  pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI  sensor counts, calibrated and geolocated radiances, and all derived  geophysical atmospheric products will be archived at the NASA Goddard  DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly  available from NASA GSFC Earth Sciences (GES) Data and Information  Services Center (DISC) for public access.  OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm. It also contains quality flags, geolocation and other ancillary information.        The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu).       OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and   documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php )             For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/.       For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below.       http://disc.sci.gsfc.nasa.gov/Aura/       http://disc.gsfc.nasa.gov/acdisc/",
+        "license": "proprietary"
+    },
     {
         "id": "OMSO2_CPR_003",
         "title": "OMI/Aura Level 2 Sulphur Dioxide (SO2) Trace Gas Column Data 1-Orbit Subset and Collocated Swath along CloudSat V003 (OMSO2_CPR) at GES DISC",
@@ -151228,19 +154426,6 @@
         "description": "This Level-2G daily global gridded product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is from the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. The OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains  UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and quality flags.  The OMTO3G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 150 Mbytes.",
         "license": "proprietary"
     },
-    {
-        "id": "OMTO3_003",
-        "title": "OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC",
-        "catalog": "GES_DISC STAC Catalog",
-        "state_date": "2004-10-01",
-        "end_date": "",
-        "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgbm8yIHRvdGFsIGFuZCB0cm9wb3NwaGVyaWMgY29sdW1uIGRhaWx5IGwyIGdsb2JhbCBncmlkZGVkIDAuMjUgZGVncmVlIHggMC4yNSBkZWdyZWUgdjMgKG9tbm8yZykgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJPTU5PMkdcIixcIjNcIiwxMjY2MTM2MTIxLDQzXSIsInVtbSI6IltcIm9taS9hdXJhIG5vMiB0b3RhbCBhbmQgdHJvcG9zcGhlcmljIGNvbHVtbiBkYWlseSBsMiBnbG9iYWwgZ3JpZGRlZCAwLjI1IGRlZ3JlZSB4IDAuMjUgZGVncmVlIHYzIChvbW5vMmcpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01OTzJHXCIsXCIzXCIsMTI2NjEzNjEyMSw0M10ifQ%3D%3D/OMTO3_003",
-        "description": "The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist  Dr. Pawan K. Bhartia.  The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB.",
-        "license": "proprietary"
-    },
     {
         "id": "OMTO3_003",
         "title": "OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT",
@@ -151254,6 +154439,19 @@
         "description": "The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA  for the public access.  The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that  essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist  Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/  http://www.knmi.nl/omi/research/documents/ .        Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ .",
         "license": "proprietary"
     },
+    {
+        "id": "OMTO3_003",
+        "title": "OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC",
+        "catalog": "GES_DISC STAC Catalog",
+        "state_date": "2004-10-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgbm8yIHRvdGFsIGFuZCB0cm9wb3NwaGVyaWMgY29sdW1uIGRhaWx5IGwyIGdsb2JhbCBncmlkZGVkIDAuMjUgZGVncmVlIHggMC4yNSBkZWdyZWUgdjMgKG9tbm8yZykgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJPTU5PMkdcIixcIjNcIiwxMjY2MTM2MTIxLDQzXSIsInVtbSI6IltcIm9taS9hdXJhIG5vMiB0b3RhbCBhbmQgdHJvcG9zcGhlcmljIGNvbHVtbiBkYWlseSBsMiBnbG9iYWwgZ3JpZGRlZCAwLjI1IGRlZ3JlZSB4IDAuMjUgZGVncmVlIHYzIChvbW5vMmcpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01OTzJHXCIsXCIzXCIsMTI2NjEzNjEyMSw0M10ifQ%3D%3D/OMTO3_003",
+        "description": "The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist  Dr. Pawan K. Bhartia.  The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB.",
+        "license": "proprietary"
+    },
     {
         "id": "OMTO3_CPR_003",
         "title": "OMI/Aura Level 2 Ozone (O3) Total Column 1-Orbit Subset and Collocated Swath along CloudSat track 200-km wide at 13x24 km2 resolution",
@@ -152199,7 +155397,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170970840-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170970840-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMgYXQgYXRxYXN1aywgYWxhc2thLCAxOTc1LCAyMDAwLCBhbmQgMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiQXRxYXN1a19WZWdfUGxvdHNfMTM3MVwiLFwiMVwiLDIxNzA5Njk4ODQsNV0iLCJ1bW0iOiJbXCJhcmN0aWMgdmVnZXRhdGlvbiBwbG90cyBhdCBhdHFhc3VrLCBhbGFza2EsIDE5NzUsIDIwMDAsIGFuZCAyMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJBdHFhc3VrX1ZlZ19QbG90c18xMzcxXCIsXCIxXCIsMjE3MDk2OTg4NCw1XSJ9/Oumalik_Veg_plots_1506_1",
         "description": "This data set provides environmental, soil, and vegetation data collected between 1983 and 1985 from 87 study plots near an abandoned test oil well in Oumalik, Alaska. Specific attributes include dominant vegetation, species, and cover, soil chemistry, physical characteristics, moisture, and organic matter, as well as site disturbance from various sources. The vegetation sampling sites were chosen to represent the full range of vegetation in the area with replication, and for uniformity in floristic composition and environmental conditions.",
         "license": "proprietary"
     },
@@ -154123,7 +157321,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756238692-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756238692-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1widmVtYXAgMTogc2VsZWN0ZWQgbW9kZWwgcmVzdWx0c1wiLFwiT1JOTF9DTE9VRFwiLFwidmVtYXAtMV9yZXN1bHRzXzczMVwiLFwiMVwiLDI3NjIyNTM3OTYsN10iLCJ1bW0iOiJbXCJ2ZW1hcCAxOiBzZWxlY3RlZCBtb2RlbCByZXN1bHRzXCIsXCJPUk5MX0NMT1VEXCIsXCJ2ZW1hcC0xX3Jlc3VsdHNfNzMxXCIsXCIxXCIsMjc2MjI1Mzc5Niw3XSJ9/PAD_2011_1133_2",
         "description": "The Peace-Athabasca Delta (PAD) is a hydrologically complex and ecologically diverse freshwater delta formed by the confluence of the Peace, Athabasca, and Birch Rivers near the western end of Lake Athabasca, Alberta, Canada. This data set includes 3 comma-delimited ASCII files: one containing water quality data and site characteristics from June and July 2010, a second containing water quality data and site characteristics for June and July 2011, and a third containing spectral reflectance of the water surface for 2011. The 2010 data file has measurements from 62 unique sites, the majority of which were revisited in 2011. Both of the 2011 data files have measurements from 99 unique sites visited 1-4 times. ",
         "license": "proprietary"
     },
@@ -154136,7 +157334,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756235671-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756235671-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic3BhdGlvLXRlbXBvcmFsIGNoYXJhY3RlcmlzdGljcyBvZiByYWluZmFsbCBpbiBhZnJpY2EsIDAuMjUgZGVncmVlcywgZnJvbSAxOTk4LTIwMTJcIixcIk9STkxfQ0xPVURcIixcIkFmcmljYW5fUmFpbmZhbGxfUGF0dGVybnNfMTI2M1wiLFwiMVwiLDI3NzY4NzQ4NzMsMl0iLCJ1bW0iOiJbXCJzcGF0aW8tdGVtcG9yYWwgY2hhcmFjdGVyaXN0aWNzIG9mIHJhaW5mYWxsIGluIGFmcmljYSwgMC4yNSBkZWdyZWVzLCBmcm9tIDE5OTgtMjAxMlwiLFwiT1JOTF9DTE9VRFwiLFwiQWZyaWNhbl9SYWluZmFsbF9QYXR0ZXJuc18xMjYzXCIsXCIxXCIsMjc3Njg3NDg3MywyXSJ9/PAD_935_1",
         "description": "The Peace-Athabasca Delta (PAD) is a large boreal wetland located in northeastern Alberta, Canada at the confluence of the Peace and Athabasca Rivers with Lake Athabasca (Figures 1 and 2). A Ramsar Convention wetland and UNESCO World Heritage Site, it is among the world's most ecologically significant wetlands.  This data set contains four comma-delimited ASCII files, two of which contain water surface elevation site and measurement information and two contain water quality and ancillary parameter location and measurement data for 120 sites within the PAD.Data archived include water surface elevation and water quality parameters measured at points throughout the Delta during summers 2006 and 2007. These data sets were originally collected to improve understanding of hydrologic recharge processes in low-relief environments and to provide ground-based measurements to validate satellite observations of inundation and sediment transport. All work was supported by the NASA Terrestrial Hydrology Program under grant NNG06GE05G to the Department of Geography, University of California-Los Angeles, Los Angeles, California. ",
         "license": "proprietary"
     },
@@ -154331,7 +157529,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768943309-ORNL_CLOUD.html",
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         "description": "This data set provides the mean diurnal cycle of precipitation, near-surface thermodynamics, and surface fluxes generated from short-term forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) model.The model outputs were 12- to 36-hour short-range forecasts, run at a triangular truncation of T319 and a vertical resolution of 60 levels, from each daily 1200 (UTC) analysis. The version of the forecast model used to prepare this data product was the operational ECMWF model in fall 2000, which included the tiled land-surface scheme (TESSEL) (Van den Hurk et al., 2000) and recent revisions to the convection, radiation, and cloud schemes described by Gregory et al., (2000). The ECMWF model was run for two Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) campaigns conducted in Rondonia, Brazil, during January and February of 1999: the Wet Season Atmospheric Mesoscale Campaign (WETAMC) and the Tropical Rainfall Measuring Mission (TRMM). See Silva Dias et al.,(2002) for additional information regarding the WETAMAC and TRMM campaigns. There are two comma-delimited data files with this data set: the ECMWF model output data and a file containing the mean hourly precipitation observations used to check the model output for biases.",
         "license": "proprietary"
     },
@@ -154361,6 +157559,669 @@
         "description": "Measurements from the PEACETIME (ProcEss studies at the Air-sEa Interface after dust deposition in the MEditerranean sea) project in the Mediterranean Sea to characterize biogeochemical processes in the atmosphere, at the air-sea boundary layer, and in the water.",
         "license": "proprietary"
     },
+    {
+        "id": "PEM-Tropics-A_Aerosol_AircraftInSitu_DC8_Data_1",
+        "title": "PEM Tropics A DC-8 In-Situ Aerosol Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-22",
+        "end_date": "1998-10-08",
+        "bbox": "-180, -72.55, 180, 50",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2968940734-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2968940734-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data utilizing condensation nuclei counters (CNC) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_Aerosol_AircraftInSitu_P3B_Data_1",
+        "title": "PEM Tropics A P-3B In-Situ Aerosol Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-06",
+        "end_date": "1996-09-27",
+        "bbox": "-180, -79.03, 180, 50",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963684447-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963684447-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from condensation nuclei counters (CNC) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_AircraftRemoteSensing_DC8_DIAL_Data_1",
+        "title": "PEM Tropics A DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-31",
+        "end_date": "1996-10-07",
+        "bbox": "-180, -72.55, 180, 45.16",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2968901874-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2968901874-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_AircraftRemoteSensing_P3B_Data_1",
+        "title": "PEM Tropics A P-3B Remotely Sensed Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-06",
+        "end_date": "1996-09-27",
+        "bbox": "-180, -79.03, 180, 50",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963620985-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963620985-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_AircraftRemoteSensing_P3B_Data is the remote sensing data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from actinometers is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_Merge_Data_1",
+        "title": "PEM Tropics A Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-06",
+        "end_date": "1998-10-08",
+        "bbox": "-180, -79.03, 180, 50",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963561331-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963561331-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_Merge_Data is the merge data collected during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_MetNav_AircraftInSitu_DC8_Data_1",
+        "title": "PEM Tropics A In-Situ DC-8 Meteorology and Navigation Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-31",
+        "end_date": "1996-10-07",
+        "bbox": "-180, -72.55, 180, 45.17",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2966187983-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2966187983-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from the DC-8 Data Acquisition and Distribution System (DADS) and the Diode Laser Hygrometer (DLH) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_MetNav_AircraftInSitu_P3B_Data_1",
+        "title": "PEM Tropics A In-Situ P-3B Meteorology and Navigation Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-06",
+        "end_date": "1996-09-27",
+        "bbox": "-165, -34.83, -74, 39.07",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963642031-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963642031-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_MetNav_AircraftInSitu_P3B_Data is the in-situ meteorology and navigation data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from the Turbulent Air Motion Measurement System (TAMMS) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_Satellite_Data_1",
+        "title": "PEM Tropics A Satellite Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-28",
+        "end_date": "1999-04-16",
+        "bbox": "-180, -61.93, 180, 41",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963575418-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963575418-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wibmFyc3RvIGVwYV9zc19sb3NfYW5nZWxlcyBhZXJvZHluYW1pYyBwYXJ0aWNsZSBzaXplIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIk5BUlNUT19FUEFfU1NfTE9TX0FOR0VMRVNfQVBTX0RBVEFcIixcIjFcIiwzMjI4OTcwOTc5LDFdIiwidW1tIjoiW1wibmFyc3RvIGVwYV9zc19sb3NfYW5nZWxlcyBhZXJvZHluYW1pYyBwYXJ0aWNsZSBzaXplIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIk5BUlNUT19FUEFfU1NfTE9TX0FOR0VMRVNfQVBTX0RBVEFcIixcIjFcIiwzMjI4OTcwOTc5LDFdIn0%3D/PEM-Tropics-A_Satellite_Data_1",
+        "description": "PEM-Tropics-A_Satellite_Data is the satellite data collected during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from the Advanced Very High Resolution Radiometer (AVHRR), Geostationary Operational Environmental Satellite (GOES) - 8 and 9, TIROS Operational Vertical Sounder, Special Sensor Microwave Imager/Sounder (SSMIS), and NOAA-14 satellites are featuredin this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_Sondes_Data_1",
+        "title": "PEM Tropics A Sondes Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1995-01-05",
+        "end_date": "1997-12-31",
+        "bbox": "-180, -45.045, 180, -14.23",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2954308749-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2954308749-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_Sondes_Data is the ozonesonde and radiosonde data collected during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_TraceGas_AircraftInSitu_DC8_Data_1",
+        "title": "PEM Tropics A DC-8 In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-22",
+        "end_date": "1998-10-08",
+        "bbox": "-180, -72.55, 180, 50",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2968990898-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2968990898-LARC_CLOUD.html",
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+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_TraceGas_AircraftInSitu_P3B_Data_1",
+        "title": "PEM Tropics A P-3B In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-06",
+        "end_date": "1996-09-27",
+        "bbox": "-180, -79.03, 180, 50",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963712608-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963712608-LARC_CLOUD.html",
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+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_Trajectory_DC8_Data_1",
+        "title": "PEM Tropics A DC-8 Trajectory Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-22",
+        "end_date": "1996-10-07",
+        "bbox": "-180, -80, 180, 50",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2965919541-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2965919541-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_Trajectory_DC8_Data is the trajectory data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_Trajectory_P3B_Data_1",
+        "title": "PEM Tropics A P-3B Trajectory Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-08-07",
+        "end_date": "1996-09-27",
+        "bbox": "-180, -79.03, 180, 50",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963593745-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963593745-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_Trajectory_P3B_Data is the trajectory data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-A_jValue_AircraftInSitu_DC8_Data_1",
+        "title": "PEM Tropics A DC-8 Photolysis Frequencies (J-Values)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1996-09-04",
+        "end_date": "1998-10-08",
+        "bbox": "-180, -70.33, 180, 45.15",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2965998848-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2965998848-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-A_jValue_AircraftInSitu_DC8_Data is the photolysis frequencies (j-values) measured along the DC-8 flight during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_Aerosol_AircraftInSitu_DC8_Data_1",
+        "title": "PEM Tropics B DC-8 In-Situ Aerosol Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-02-20",
+        "end_date": "1999-04-19",
+        "bbox": "-180, -36.35, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963463365-LARC_CLOUD.umm_json",
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+        "description": "PEM-Tropics-B_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Forward Scattering Spectrometer Probe (FSSP) and Condensation Nuclei Counters (CNC) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_Aerosol_AircraftInSitu_P3B_Data_1",
+        "title": "PEM Tropics B P-3B In-Situ Aerosol Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-03-05",
+        "end_date": "1999-04-12",
+        "bbox": "-180, -36.33, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2961263115-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2961263115-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Condensation Nuclei Counters (CNC) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_AircraftRemoteSensing_DC8_DIAL_Data_1",
+        "title": "PEM Tropics B DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-03-07",
+        "end_date": "1999-04-19",
+        "bbox": "-180, -36.35, 180, 34.36",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963425948-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963425948-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_AircraftRemoteSensing_DC8_Data_1",
+        "title": "PEM Tropics B DC-8 Remotely Sensed Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-02-20",
+        "end_date": "1999-04-19",
+        "bbox": "-180, -36.35, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963334033-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963334033-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_AircraftRemoteSensing_DC8_Data is the remote sensing data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from actinometers is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_AircraftRemoteSensing_DC8_LASE_Data_1",
+        "title": "PEM Tropics B DC-8 Aircraft Remotely Sensed Lidar Atmospheric Sensing Experiment (LASE) Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-03-07",
+        "end_date": "1999-04-19",
+        "bbox": "-180, -36.35, 180, 34",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963411643-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963411643-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_AircraftRemoteSensing_DC8_LASE_Data is the remotely sensed Lidar Atmospheric Sensing Experiment (LASE) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_AircraftRemoteSensing_P3B_Data_1",
+        "title": "PEM Tropics B P-3B Remotely Sensed Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-03-05",
+        "end_date": "1999-04-12",
+        "bbox": "-180, -36.33, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2961242127-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2961242127-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_AircraftRemoteSensing_P3B_Data is the remote sensing data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from actinometers and the Scanning Actinic Flux Spectroradiometer (SAFS) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_Lightning_Data_1",
+        "title": "PEM Tropics B Lightning Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-03-05",
+        "end_date": "1999-04-12",
+        "bbox": "-180, -36.33, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2954320357-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2954320357-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_Lightning_Data is the lightning data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_Merge_Data_1",
+        "title": "PEM Tropics B Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-02-20",
+        "end_date": "1999-04-19",
+        "bbox": "180, -36.35, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2961198923-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2961198923-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_Merge_Data is the merge data collected onboard during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_MetNav_AircraftInSitu_DC8_Data_1",
+        "title": "PEM Tropics B In-Situ DC-8 Meteorology and Navigation Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-02-20",
+        "end_date": "1999-04-19",
+        "bbox": "-180, -36.4, 180, 35.8",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963372858-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963372858-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHRyb3BpY3MgYiBkYy04IGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlBFTS1Ucm9waWNzLUJfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfREM4X0RhdGFcIixcIjFcIiwyOTYzNDc0OTU5LDJdIiwidW1tIjoiW1wicGVtIHRyb3BpY3MgYiBkYy04IGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlBFTS1Ucm9waWNzLUJfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfREM4X0RhdGFcIixcIjFcIiwyOTYzNDc0OTU5LDJdIn0%3D/PEM-Tropics-B_MetNav_AircraftInSitu_DC8_Data_1",
+        "description": "PEM-Tropics-B_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the DC-8 Data Acquisition and Distribution System (DADS), Microwave Temperature Profiler (MTP), and the Diode Laser Hygrometer (DLH) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_MetNav_AircraftInSitu_P3B_Data_1",
+        "title": "PEM Tropics B In-Situ P-3B Meteorology and Navigation Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-03-05",
+        "end_date": "1999-04-12",
+        "bbox": "-166, -21, -72, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2961257306-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2961257306-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_MetNav_AircraftInSitu_P3B_Data is the in-situ meteorology and navigation data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Turbulent Air Motion Measurement System (TAMMS) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_Model_Data_1",
+        "title": "PEM Tropics B Model Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-02-20",
+        "end_date": "1999-04-19",
+        "bbox": "-180, -36.35, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2961175127-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2961175127-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_Model_Data is the model data collected during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_Satellite_Data_1",
+        "title": "PEM Tropics B Satellite Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-03-05",
+        "end_date": "1999-04-12",
+        "bbox": "-180, -36.33, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2954448130-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2954448130-LARC_CLOUD.html",
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+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_Sondes_Data_1",
+        "title": "PEM Tropics B Sondes Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1998-01-03",
+        "end_date": "1999-12-24",
+        "bbox": "-170.56, -45.045, 178.4, -14.23",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2960952826-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2960952826-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_Sondes_Data is the ozonesonde data collected during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_TraceGas_AircraftInSitu_DC8_Data_1",
+        "title": "PEM Tropics B DC-8 In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-02-20",
+        "end_date": "1999-04-19",
+        "bbox": "-180, -36.35, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2963474959-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2963474959-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, Laser Induced Fluorescence (LIF), grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_TraceGas_AircraftInSitu_P3B_Data_1",
+        "title": "PEM Tropics B P-3B In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-03-05",
+        "end_date": "1999-04-12",
+        "bbox": "-180, -36.33, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2961277229-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2961277229-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, Chemical Ionization Mass Spectrometer (CIMS), grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_Trajectory_DC8_Data_1",
+        "title": "PEM Tropics B DC-8 Trajectory Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-02-20",
+        "end_date": "1999-04-19",
+        "bbox": "-180, -36.35, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2961285673-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2961285673-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_Trajectory_DC8_Data is the trajectory data collected along the DC-8 aircraft flight track during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_Trajectory_P3B_Data_1",
+        "title": "PEM Tropics B P-3B Trajectory Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-03-05",
+        "end_date": "1999-04-12",
+        "bbox": "-180, -36.33, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2961221391-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2961221391-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_Trajectory_P3B_Data is the trajectory data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_jValue_AircraftInSitu_DC8_Data_1",
+        "title": "PEM Tropics B DC-8 Photolysis Frequencies (J-Values)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-02-20",
+        "end_date": "1999-04-19",
+        "bbox": "-180, -36.35, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2954416101-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2954416101-LARC_CLOUD.html",
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+        "description": "PEM-Tropics-B_TraceGas_AircraftInSitu_DC8_Data is the photolysis frequencies (j-values) collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-Tropics-B_jValue_AircraftInSitu_P3B_Data_1",
+        "title": "PEM Tropics B P-3B Photolysis Frequencies (J-Values)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1999-03-05",
+        "end_date": "1999-04-12",
+        "bbox": "-180, -36.33, 180, 40",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2954369145-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2954369145-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHRyb3BpY3MgYiBkYy04IGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlBFTS1Ucm9waWNzLUJfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfREM4X0RhdGFcIixcIjFcIiwyOTYzNDc0OTU5LDJdIiwidW1tIjoiW1wicGVtIHRyb3BpY3MgYiBkYy04IGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlBFTS1Ucm9waWNzLUJfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfREM4X0RhdGFcIixcIjFcIiwyOTYzNDc0OTU5LDJdIn0%3D/PEM-Tropics-B_jValue_AircraftInSitu_P3B_Data_1",
+        "description": "PEM-Tropics-B_jValue_AircraftInSitu_P3B_Data is the photolysis frequencies (j-values) collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Scanning Actinic Flux Spectroradiometer (SAFS) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a \u201cvery large chemical vessel.\u201d The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the \u201crelatively clean\u201d wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-A_Aerosol_AircraftInSitu_DC8_Data_1",
+        "title": "PEM West A DC-8 In-Situ Aerosol Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1991-09-08",
+        "end_date": "1991-10-23",
+        "bbox": "-180, -0.058, 180, 61.338",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969625804-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969625804-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHRyb3BpY3MgYiBkYy04IGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlBFTS1Ucm9waWNzLUJfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfREM4X0RhdGFcIixcIjFcIiwyOTYzNDc0OTU5LDJdIiwidW1tIjoiW1wicGVtIHRyb3BpY3MgYiBkYy04IGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlBFTS1Ucm9waWNzLUJfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfREM4X0RhdGFcIixcIjFcIiwyOTYzNDc0OTU5LDJdIn0%3D/PEM-West-A_Aerosol_AircraftInSitu_DC8_Data_1",
+        "description": "PEM-West-A_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data utilizing Optical Particle Counters (OPC) and ion chromatography are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-A_AircraftRemoteSensing_DC8_DIAL_Data_1",
+        "title": "PEM West A DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1991-09-17",
+        "end_date": "1991-10-23",
+        "bbox": "-180, 0.29, 180, 61.13",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969617008-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969617008-LARC_CLOUD.html",
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+        "description": "PEM-West-A_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-A_Ground_Data_1",
+        "title": "PEM West A Ground Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1991-01-08",
+        "end_date": "1991-12-23",
+        "bbox": "-180, 21.33, 180, 52.92",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969601511-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969601511-LARC_CLOUD.html",
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+        "description": "PEM-West-A_Ground_Data is the ground site data collected during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data utilizing the Nondispersive Infrared Gas Analyzer (NDIR) and chemiluminescence technique are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-A_Merge_Data_1",
+        "title": "PEM West A Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1991-09-08",
+        "end_date": "1991-10-23",
+        "bbox": "-180, -80, 180, 61.338",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2968788829-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2968788829-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-A_Merge_Data_1",
+        "description": "PEM-West-A_Merge_Data is the merge data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, laser induced fluorescence, grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-A_MetNav_AircraftInSitu_DC8_Data_1",
+        "title": "PEM West A In-Situ DC-8 Meteorology and Navigation Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1991-09-08",
+        "end_date": "1991-10-23",
+        "bbox": "-180, -62, 180, 61.338",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2968873030-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2968873030-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-A_MetNav_AircraftInSitu_DC8_Data_1",
+        "description": "PEM-West-A_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data from the DC-8 Data Acquisition and Distribution System is featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-A_Model_Data_1",
+        "title": "PEM West A Model Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1991-09-23",
+        "end_date": "1991-10-07",
+        "bbox": "112.54, 18.298, 150.57, 42.868",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969583878-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969583878-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-A_Model_Data_1",
+        "description": "PEM-West-A_Model_Data is the model data collected during the Pacific Exploratory Mission (PEM) West A suborbital campaign.  Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-A_TraceGas_AircraftInSitu_DC8_Data_1",
+        "title": "PEM West A DC-8 In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1991-09-08",
+        "end_date": "1991-10-23",
+        "bbox": "-180, -0.058, 180, 61.338",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969638358-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969638358-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHRyb3BpY3MgYiBkYy04IGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlBFTS1Ucm9waWNzLUJfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfREM4X0RhdGFcIixcIjFcIiwyOTYzNDc0OTU5LDJdIiwidW1tIjoiW1wicGVtIHRyb3BpY3MgYiBkYy04IGluLXNpdHUgdHJhY2UgZ2FzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlBFTS1Ucm9waWNzLUJfVHJhY2VHYXNfQWlyY3JhZnRJblNpdHVfREM4X0RhdGFcIixcIjFcIiwyOTYzNDc0OTU5LDJdIn0%3D/PEM-West-A_TraceGas_AircraftInSitu_DC8_Data_1",
+        "description": "PEM-West-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, laser induced fluorescence, grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  ",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-A_Trajectory_Data_1",
+        "title": "PEM West A Trajectory Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1991-09-17",
+        "end_date": "1991-10-22",
+        "bbox": "-180, 0.4, 180, 58.6",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969559881-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969559881-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-A_Trajectory_Data_1",
+        "description": "PEM-West-A_Trajectory_Data is the trajectory data collected during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_Aerosol_AircraftInSitu_DC8_Data_1",
+        "title": "PEM West B DC-8 In-Situ Aerosol Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-01-26",
+        "end_date": "1994-03-15",
+        "bbox": "-180, -9.7, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969552719-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969552719-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_Aerosol_AircraftInSitu_DC8_Data_1",
+        "description": "PEM-West-B_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from the Forward Scattering Spectrometer Probe (FSSP) and the Passive-Cavity Aerosol Spectrometer Probe (PCASP) are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  ",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_AircraftRemoteSensing_DC8_DIAL_Data_1",
+        "title": "PEM West B DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-02-09",
+        "end_date": "1994-03-15",
+        "bbox": "-180, -9.7, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969539232-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969539232-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_AircraftRemoteSensing_DC8_DIAL_Data_1",
+        "description": "PEM-West-B_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data collection for this product is complete    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_Ground_Data_1",
+        "title": "PEM West B Ground Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1991-02-22",
+        "end_date": "1995-01-01",
+        "bbox": "-180, 21.33, 180, 52.92",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969158533-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969158533-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_Ground_Data_1",
+        "description": "PEM-West-B_Ground_Data is the ground site data collected during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from the Nondispersive Infrared Gas Analyzer (NDIR) instrument, rawinsondes, chemiluminescence, and gas chromatography techniques are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_Lightning_Data_1",
+        "title": "PEM West B Lightning Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-02-01",
+        "end_date": "1994-03-01",
+        "bbox": "87.4, 2.4, 87.6, 2.6",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969098800-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969098800-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_Lightning_Data_1",
+        "description": "PEM-West-B_Lightning_Data is the lightning data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_Merge_Data_1",
+        "title": "PEM West B Merge Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-01-26",
+        "end_date": "1994-03-15",
+        "bbox": "-180, -9.7, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969086164-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969086164-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_Merge_Data_1",
+        "description": "PEM-West-B_Merge_Data is the merge data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_MetNav_AircraftInSitu_DC8_Data_1",
+        "title": "PEM West B In-Situ DC-8 Meteorology and Navigation Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-01-26",
+        "end_date": "1994-03-15",
+        "bbox": "-180, -9.7, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969215034-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969215034-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_MetNav_AircraftInSitu_DC8_Data_1",
+        "description": "PEM-West-B_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from the DC-8 Data Acquisition and Distribution System is featured in this collection. Data collection for this product is complete.     During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  ",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_Model_Data_1",
+        "title": "PEM West B Model Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-01-02",
+        "end_date": "1994-03-15",
+        "bbox": "-180, -10, 180, 52",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969068960-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969068960-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_Model_Data_1",
+        "description": "PEM-West-B_Model_Data is the model data collected during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_Satellite_Data_1",
+        "title": "PEM West B Satellite Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-01-26",
+        "end_date": "1994-03-15",
+        "bbox": "-180, -9.7, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969133029-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969133029-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_Satellite_Data_1",
+        "description": "PEM-West-B_Satellite_Data is the satellite data collected during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from Himawari-4 satellite is featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  ",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_TraceGas_AircraftInSitu_DC8_Data_1",
+        "title": "PEM West B DC-8 In-Situ Trace Gas Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-01-26",
+        "end_date": "1994-03-15",
+        "bbox": "-180, -9.7, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969648347-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969648347-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_TraceGas_AircraftInSitu_DC8_Data_1",
+        "description": "PEM-West-B_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, laser induced fluorescence, grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  ",
+        "license": "proprietary"
+    },
+    {
+        "id": "PEM-West-B_Trajectory_Data_1",
+        "title": "PEM West B Trajectory Data",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1994-02-08",
+        "end_date": "1994-03-15",
+        "bbox": "-180, -9, 180, 59.5",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2969047261-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2969047261-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PEM-West-B_Trajectory_Data_1",
+        "description": "PEM-West-B_Trajectory_Data is the trajectory data collected during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases\u2019 sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is \u201crelatively\u201d free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).",
+        "license": "proprietary"
+    },
     {
         "id": "PERU_0",
         "title": "Optical measurements along the northern coast of Peru in 2003",
@@ -154959,6 +158820,45 @@
         "description": "The data presented in this level 2 orbital product are rain rate estimates expressed as mm/hour determined from brightness temperatures (Tbs) obtained from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) flown on the TRMM satellite. Most of the products generated in this data set are based upon the algorithms developed for the 3rd Algorithm Intercomparison Project (AIP-3) of the Global Precipitation Climatology Project (GPCP).  Details of these 15 algorithms and development of a quality score which is a measure of confidence in the estimate, along with processing and algorithmic flags, can be found in the Algorithm Theoretical Basis Document  (ATBD).  The data in this product cover the period from 1997 to 2015 with one file per orbit.",
         "license": "proprietary"
     },
+    {
+        "id": "PREFIRE_SAT1_0-BUS-TLM_R01",
+        "title": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 telemetry R01",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2024-06-01",
+        "end_date": "",
+        "bbox": "-180, -84, 180, 84",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933532-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933532-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT1_0-BUS-TLM_R01",
+        "description": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Telemetry (PREFIRE_SAT1_0-BUS-TLM) contains positioning and pointing information for one of two PREFIRE polar orbiting CubeSats. Both CubeSats carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 \u00b5m. Most polar emissions are in the FIR but have not been measured on a large scale.  PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions.  This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the time, beta angle, orbit position and velocity, and quaternion of PREFIRE Satellite 1 (PREFIRE-SAT1). These telemeters, in combination with a Digital Elevation Map, are used to geolocate PREFIRE data on the Earth\u2019s surface.    Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions.  This data is retrieved at a frequency of 1Hz and is available in CSV format.    Positioning and pointing information for the sister satellite, PREFIRE-SAT2, can be found in the PREFIRE_SAT2_0-BUS-TLM collection.",
+        "license": "proprietary"
+    },
+    {
+        "id": "PREFIRE_SAT1_0-PAYLOAD-TLM_R01",
+        "title": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Curated Payload R01",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2024-06-01",
+        "end_date": "",
+        "bbox": "-180, -84, 180, 84",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933550-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933550-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT1_0-PAYLOAD-TLM_R01",
+        "description": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Curated Payload (PREFIRE_SAT1_0-PAYLOAD-TLM)  contains the curated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 \u00b5m. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the raw, curated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 1 (PREFIRE-SAT1). Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in binary format.    The PREFIRE_SAT2_0-PAYLOAD-TLM collection contains raw, curated digital number counts for the sister instrument aboard PREFIRE-SAT2.  ",
+        "license": "proprietary"
+    },
+    {
+        "id": "PREFIRE_SAT1_0-PAYLOAD_R01",
+        "title": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Payload R01",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2024-06-01",
+        "end_date": "",
+        "bbox": "-180, -84, 180, 84",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933578-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3255933578-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT1_0-PAYLOAD_R01",
+        "description": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Payload (PREFIRE_SAT1_0-PAYLOAD) contains the uncurated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 \u00b5m. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the raw and uncurated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 1 (PREFIRE-SAT1). Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in binary format.    Raw, uncurated digital number counts for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_0-PAYLOAD collection.",
+        "license": "proprietary"
+    },
     {
         "id": "PREFIRE_SAT2_0-BUS-TLM_R01",
         "title": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 telemetry R01",
@@ -154968,7 +158868,7 @@
         "bbox": "-180, -84, 180, 84",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3246712895-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3246712895-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/PREFIRE_SAT2_0-BUS-TLM_R01",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT2_0-BUS-TLM_R01",
         "description": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Telemetry (PREFIRE_SAT2_0-BUS-TLM) contains positioning and pointing information for one of two PREFIRE polar orbiting CubeSats. Both CubeSats carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 \u00b5m. Most polar emissions are in the FIR but have not been measured on a large scale.  PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions.  This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the time, beta angle, orbit position and velocity, and the quaternion of PREFIRE Satellite 2 (PREFIRE-SAT2).  Combined with a Digital Elevation Map, these telemeters geolocate PREFIRE data on the Earth\u2019s surface.      Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions.  This data is retrieved at a frequency of 1Hz and is available in CSV format.    Positioning and pointing information for the sister satellite, PREFIRE-SAT1, can be found in the PREFIRE_SAT1_0-BUS-TLM collection.    ",
         "license": "proprietary"
     },
@@ -154981,7 +158881,7 @@
         "bbox": "-180, -84, 180, 84",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3246712936-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3246712936-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/PREFIRE_SAT2_0-PAYLOAD-TLM_R01",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT2_0-PAYLOAD-TLM_R01",
         "description": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Raw Curated Radiance (PREFIRE_SAT2_0-PAYLOAD-TLM) contains the curated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 \u00b5m. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the raw, curated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 2 (PREFIRE-SAT2). Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in binary format.    Raw, curated digital number counts for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_0-PAYLOAD-TLM collection.  ",
         "license": "proprietary"
     },
@@ -154994,7 +158894,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3246712916-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3246712916-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/PREFIRE_SAT2_0-PAYLOAD_R01",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicGVtIHdlc3QgYSBncm91bmQgZGF0YVwiLFwiTEFSQ19DTE9VRFwiLFwiUEVNLVdlc3QtQV9Hcm91bmRfRGF0YVwiLFwiMVwiLDI5Njk2MDE1MTEsMl0iLCJ1bW0iOiJbXCJwZW0gd2VzdCBhIGdyb3VuZCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJQRU0tV2VzdC1BX0dyb3VuZF9EYXRhXCIsXCIxXCIsMjk2OTYwMTUxMSwyXSJ9/PREFIRE_SAT2_0-PAYLOAD_R01",
         "description": "Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Raw Payload (PREFIRE_SAT2_0-PAYLOAD) contains the uncurated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 \u00b5m. Most polar emissions are in the FIR but have not been measured on a large scale.  PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions.  This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the raw and uncurated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 2 (PREFIRE-SAT2).  Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions.  This data has a temporal resolution of 0.707 seconds and is available in binary format.    Raw, uncurated digital number counts for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_0-PAYLOAD collection.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2221862177-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2221862177-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IG1vZGlzLWRlcml2ZWQgbWF4aW11bSBuZHZpLCBub3J0aGVybiBhbGFza2EgYW5kIHl1a29uIHRlcnJpdG9yeSBmb3IgMjAwMi0yMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBbGFza2FfWXVrb25fTkRWSV8xNjE0XCIsXCIxXCIsMjE2MjE0NTQ5Miw1XSIsInVtbSI6IltcImFib3ZlOiBtb2Rpcy1kZXJpdmVkIG1heGltdW0gbmR2aSwgbm9ydGhlcm4gYWxhc2thIGFuZCB5dWtvbiB0ZXJyaXRvcnkgZm9yIDIwMDItMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQWxhc2thX1l1a29uX05EVklfMTYxNFwiLFwiMVwiLDIxNjIxNDU0OTIsNV0ifQ%3D%3D/Passive_Microwave_Snowoff_Data_1711_1.1",
         "description": "This dataset provides annual maps of the snowoff (SO) date from 1988-2018 across Alaska and parts of Far East Russia and northwest Canada at a resolution of 6.25 km. SO date is defined as the last day of persistent snow and was derived from the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR) product. The spatial domain was intended to match MODIS Alaska Snow Metrics and extend its temporal fidelity beyond the MODIS era. SO date estimates were compared to snow depth measurements collected at SNOTEL stations across Alaska and to three SO datasets derived from MODIS, Landsat, and the Interactive Multisensor Snow and Ice Mapping System (IMS). The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies.",
         "license": "proprietary"
     },
@@ -155332,7 +159232,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864221-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864221-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGdhcyBmbGFyZSBzdXJ2ZXkgYnkgaW5mcmFyZWQgaW1hZ2luZywgdmlpcnMgbmlnaHRmaXJlLCAyMDEyLTIwMTlcIixcIk9STkxfQ0xPVURcIixcIk1ldGhhbmVfRmxhcmluZ19TaXRlc19WSUlSU18xODc0XCIsXCIxXCIsMjM0NTg3NzU1NCw1XSIsInVtbSI6IltcImdsb2JhbCBnYXMgZmxhcmUgc3VydmV5IGJ5IGluZnJhcmVkIGltYWdpbmcsIHZpaXJzIG5pZ2h0ZmlyZSwgMjAxMi0yMDE5XCIsXCJPUk5MX0NMT1VEXCIsXCJNZXRoYW5lX0ZsYXJpbmdfU2l0ZXNfVklJUlNfMTg3NFwiLFwiMVwiLDIzNDU4Nzc1NTQsNV0ifQ%3D%3D/Peatland_carbon_balance_1382_1",
         "description": "This data set provides a time series of global peatland carbon balance and carbon dioxide emissions from land use change throughout the Holocene (the past 11,000 yrs). Global peatland carbon balance was quantified using a) a continuous net carbon balance history throughout the Holocene derived from a data set of 64 dated peat cores, and b) global model simulations with the LPX-Bern model hindcasting the dynamics of past peatland distribution and carbon balance. CO2 emissions from land-use change are based on published scenarios for anthropogenic land use change (HYDE 3.1, HYDE 3.2, KK10) covering the last 10,000 years. This combination of model estimates with CO2 budget constraints narrows the range of past anthropogenic land use change emissions and their contribution to past carbon cycle changes.",
         "license": "proprietary"
     },
@@ -155397,7 +159297,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162142273-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162142273-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IG1vZGlzLWRlcml2ZWQgbWF4aW11bSBuZHZpLCBub3J0aGVybiBhbGFza2EgYW5kIHl1a29uIHRlcnJpdG9yeSBmb3IgMjAwMi0yMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBbGFza2FfWXVrb25fTkRWSV8xNjE0XCIsXCIxXCIsMjE2MjE0NTQ5Miw1XSIsInVtbSI6IltcImFib3ZlOiBtb2Rpcy1kZXJpdmVkIG1heGltdW0gbmR2aSwgbm9ydGhlcm4gYWxhc2thIGFuZCB5dWtvbiB0ZXJyaXRvcnkgZm9yIDIwMDItMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQWxhc2thX1l1a29uX05EVklfMTYxNFwiLFwiMVwiLDIxNjIxNDU0OTIsNV0ifQ%3D%3D/Permafrost_Thaw_Depth_YK_1598_1",
         "description": "This dataset provides field observations of thaw depth and dominant vegetation types, a LiDAR-derived elevation map, and permafrost distribution and probability maps for an area on the coastal plain of the Yukon-Kuskokwim Delta (YKD), in western Alaska, USA. Field data were collected during July 8-17, 2016 to parameterize and to validate the derived permafrost maps. The YKD is in the sporadic to isolated permafrost zone where permafrost forms extensive elevated plateaus on abandoned floodplains. The region is extremely flat and vulnerable to eustatic sea-level rise and inland storm surges. These high-resolution permafrost maps support landscape change analyses and assessments of the impacts of climate change on permafrost in this region of high biological productivity, critical wildlife habitats, and subsistence-based human economy.",
         "license": "proprietary"
     },
@@ -155436,7 +159336,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764693210-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764693210-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlXCIsXCJPUk5MX0NMT1VEXCIsXCJzZWFfc3VyZmFjZV90ZW1wXzFkZWdfOTgwXCIsXCIxXCIsMjc4NDg5NTgzMCwyXSIsInVtbSI6IltcImlzbHNjcCBpaSBzZWEgc3VyZmFjZSB0ZW1wZXJhdHVyZVwiLFwiT1JOTF9DTE9VRFwiLFwic2VhX3N1cmZhY2VfdGVtcF8xZGVnXzk4MFwiLFwiMVwiLDI3ODQ4OTU4MzAsMl0ifQ%3D%3D/Phenology_AmeriFlux_Neon_Sites_2033_1",
         "description": "This land surface phenology (LSP) dataset provides spatially explicit data related to the timing of phenological changes such as the start, peak, and end of vegetation activity, vegetation index metrics and associated quality assurance flags. The data are for the growing seasons of 2017-2021 for 10-km x 10-km windows centered over 104 eddy covariance towers at AmeriFlux and National Ecological Observatory Network (NEON) sites. The dataset is derived at 3-m spatial resolution from PlanetScope imagery across a range of plant functional types and climates in North America. These LSP data can be used to assess satellite-based LSP products, to evaluate predictions from land surface models, and to analyze processes controlling the seasonality of ecosystem-scale carbon, water, and energy fluxes. The data are provided in NetCDF format along with geospatial area-of-interest information and visualizations of the analysis window for each site in GeoJSON and HTML formats.",
         "license": "proprietary"
     },
@@ -155449,7 +159349,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764880255-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764880255-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGFuZCBzdXJmYWNlIHBoZW5vbG9neSwgZWRkeSBjb3ZhcmlhbmNlIHRvd2VyIHNpdGVzLCBub3J0aCBhbWVyaWNhLCAyMDE3LTIwMjFcIixcIk9STkxfQ0xPVURcIixcIlBoZW5vbG9neV9BbWVyaUZsdXhfTmVvbl9TaXRlc18yMDMzXCIsXCIxXCIsMjc2NDY5MzIxMCwyXSIsInVtbSI6IltcImxhbmQgc3VyZmFjZSBwaGVub2xvZ3ksIGVkZHkgY292YXJpYW5jZSB0b3dlciBzaXRlcywgbm9ydGggYW1lcmljYSwgMjAxNy0yMDIxXCIsXCJPUk5MX0NMT1VEXCIsXCJQaGVub2xvZ3lfQW1lcmlGbHV4X05lb25fU2l0ZXNfMjAzM1wiLFwiMVwiLDI3NjQ2OTMyMTAsMl0ifQ%3D%3D/Phenology_Deciduous_Forest_1570_1",
         "description": "This dataset provides Landsat phenology algorithm (LPA) derived start and end of growing seasons (SOS and EOS) at 500-m resolution for deciduous and mixed forest areas of 75 selected Landsat sidelap regions across the Eastern United States and Canada. The data are a 30-year time series (1984-2013) of derived spring and autumn phenology for forested areas of the Eastern Temperate Forest, Northern Forest, and Taiga ecoregions.",
         "license": "proprietary"
     },
@@ -155475,7 +159375,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170970856-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170970856-ORNL_CLOUD.html",
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         "description": "This data set provides vegetation species and vegetation plot data collected between 1983 and 1985 from 293 study plots on 41 pingos on the North Slope of Alaska. The pingos were located within the Arctic Coastal Plain in the Kuparuk, Prudhoe Bay, Kadleroshilik, and Toolik River areas. Specific attributes include dominant vegetation species, cover, soil pH, moisture, and physical characteristics of the plots.",
         "license": "proprietary"
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         "description": "This dataset includes field measurements from unburned and burned 10 m x 10 m and 1 m x 1 m plots in the Noatak, Seward, and North Slope regions of the Alaskan tundra during July through August in the years 2016-2018. The data include vegetation coverage, soil moisture, soil temperature, soil thickness, thaw depth, and weather measurements. Measurements were recorded using ocular assessments and standard equipment. Plot photographs are included.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734258687-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734258687-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of forest canopy height and canopy height uncertainty for study areas in the Pongara National Park and the Lope National Park, Gabon. Two canopy height products are included: 1) Canopy height was derived from multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) data using an inversion of the random volume over ground (RVoG) model and Kapok, an open source Python library. 2) Canopy height was derived from a fusion of PolInSAR and Land, Vegetation, and Ice Sensor (LVIS) Lidar data. This dataset also includes various intermediate parameters of the PolInSAR data (including radar backscatter, coherence, and viewing and terrain geometry) which provide additional insight into the input data used to invert the RVoG model and accuracy of the canopy height estimates. The AfriSAR campaign was flown from 2016-02-27 to 2016-03-08. AfriSAR data were collected by NASA, in collaboration with the European Space Agency (ESA) and the Gabonese Space Agency.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2236236883-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236236883-ORNL_CLOUD.html",
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         "description": "This data set provides 3-hourly estimates of gross ecosystem CO2 exchange (GEE) and respiration (autotrophic and heterotrophic) for the state of Alaska from 2012 to 2014. The data were generated using the Polar Vegetation Photosynthesis and Respiration Model (PolarVPRM) and are provided at ~ 1 km2 [1/4-degree (longitude) by 1/6-degree (latitude)] pixel resolution. The PolarVPRM produces high-frequency estimates of GEE of CO2 for North American biomes from remotely-sensed data sets. For Alaska, the model used meteorological inputs from the North American regional re-analysis (NARR) and inputs of fractional snow cover and land surface water index (LSWI) from the Moderate Resolution Imaging Spectroradiometer (MODIS). Land surface greenness was factored into the model from three sources: 1) Enhanced Vegetation Index (EVI) from MODIS; 2) Solar Induced Florescence (SIF) from the Orbiting Carbon Observatory 2 (OCO-2); and 3) SIF from the Global Ozone Monitoring Experiment 2 (GOME-2). Three independent estimates of GEE are included in the data set, one for each source of greenness observations.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734261393-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734261393-ORNL_CLOUD.html",
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         "description": "This dataset contains forest vertical structure and associated uncertainty products derived by applying multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) and Polarimetric Coherence Tomographic SAR (PCT or PC-TomoSAR) techniques. The data were collected from multiple repeat-pass flights over Gabonese forests using the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instrument in February-March 2016. In addition, supplementary data products based on various intermediate parameters of the UAVSAR data are provided and include radar backscatter, coherence, and viewing and terrain geometry. These data were collected by NASA as part of the joint NASA/ESA AfriSAR campaign.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734257089-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734257089-ORNL_CLOUD.html",
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         "description": "This dataset provides height profiles derived from UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar; JPL) data acquired over Lope National Park and Rabi Forest in Gabon as part of the AfriSAR campaign in 2016. These data were produced using synthetic aperture radar tomography (TomoSAR), a method that reveals three-dimensional forest structures by extending the conventional two-dimensional imaging capabilities of radars using multiple images acquired from slightly different antenna positions. AfriSAR was an airborne campaign that collected radar, lidar, and field measurements of forests in Gabon, West Africa, as part of a collaborative mission between NASA, the European Space Agency, and the Gabonese Space Agency. These data will help prepare for and calibrate current and upcoming spaceborne missions that aim to gauge the role of forests in Earth's carbon cycle, such as the Global Ecosystem Dynamics Investigation (GEDI).",
         "license": "proprietary"
     },
@@ -155670,7 +159570,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969941-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969941-ORNL_CLOUD.html",
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         "description": "This data set provides vegetation cover and environmental plot data collected from 32 balsam poplar (Populus balsamifera L., Salicaceae) vegetation plots located on the Arctic Slope of Alaska and in the interior boreal forests of Alaska and the Yukon from 2003 to 2005. The estimated percent land cover by species per plot are according to the older Braun-Blanquet cover-abundance scale. Plot data includes moisture, topographic position, slope, aspect, shape, and soil data.",
         "license": "proprietary"
     },
@@ -155683,7 +159583,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2539840222-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2539840222-ORNL_CLOUD.html",
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         "description": "This dataset is a synthesis of species-specific pre- and post-fire tree stem density estimates, field plot characterization data, and acquired climate moisture deficit data for sites from Alaska, USA eastward to Quebec, Canada in fires that burned between 1989 and 2014. Data are from 1,538 sites across 58 fire perimeters encompassing 4.52 Mha of forest and all major boreal ecozones in North America. To be included in this synthesis, a site had to contain information on species-specific post-fire seedling densities. This included sites where seedlings had been counted 2-13 years post-fire, a timeframe over which there was little change in relative dominance of species based on densities. Plot characterization data includes stand age, site drainage, disturbance history, crown combustion severity, seedbed conditions, and stand structural attributes. Gridded values of Hargreaves Climate Moisture Deficit (CMD) were obtained for each plot where plot coordinates were available. These values included 30-year normals (1981-2010) and CMD in the two years immediately following the fire year. CMD anomalies were calculated as the difference between the 30-year normal and the single year values for each of the first two years after a fire. These synthesis data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -155696,7 +159596,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401918-ORNL_CLOUD.html",
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         "description": "This dataset provides spatial estimates of carbon combustion from all 2015 wildfire burned areas across Saskatchewan, Canada, on a 30-m grid. Carbon combustion (kg C/m2) was derived from post-fire field measurements of carbon stocks completed in 2016 at 47 stands that burned during three 2015 Saskatchewan wildfires (Egg, Philion, and Brady) and at 32 unburned stands in adjacent areas. The study areas covered two ecozones (Boreal Plains and Boreal Shield), two stand-replacing history types (fire and timber harvest), three soil moisture classes (xeric, mesic, and subhygric), and three stand dominance classifications (coniferous, deciduous, and mixed). To spatially extrapolate estimates of combustion to all 2015 fires in Saskatchewan, a predictive radial support vector machine model was trained on the 47 burned stands with associated environmental variables and geospatial predictors and applied to historical fire areas. The dataset also includes uncertainty estimates represented as per pixel standard deviations of model estimates derived using a Monte Carlo analysis.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2677222693-ORNL_CLOUD.html",
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         "description": "This dataset provides profile-based estimates of the height to the top of the planetary boundary layer (PBL), also known as the atmospheric boundary layer (ABL), in meters above mean sea level estimated from meteorological measurements acquired during ascending or descending vertical profile flight segments during NASA's Atmospheric Carbon and Transport - America (ACT-America) airborne campaign. ACT-America flights sampled the atmosphere over the central and eastern United States seasonally from 2016 - 2019. Two aircraft platforms, the NASA Langley Beechcraft B-200 King Air and the NASA Goddard Space Flight Center's C-130 Hercules, were used to collect high-quality in situ measurements across a variety of continental surfaces and atmospheric conditions.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162122325-ORNL_CLOUD.html",
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         "description": "This dataset provides environmental, soil, and vegetation data collected from study plots in the vicinity of Lake Colleen off the Spine Road at Prudhoe Bay, Alaska, during August of 2014. Data include vegetation species, leaf area index (LAI), percent cover classes, soil moisture and color, and plot characteristics including geology, topographic position, slope, aspect, and plot disturbance.",
         "license": "proprietary"
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         "description": "This data set provides a collection of maps of geoecological characteristics of areas within the Beechey Point quadrangle near Prudhoe Bay on the North slope of Alaska: a geobotanical atlas of the Prudhoe Bay region, a land cover map of the Beechey Point quadrangle, and cumulative impact maps in the Prudhoe Bay Oilfield for ten dates from 1968 to 2010. The geobotanical atlas is based on aerial photographs and covers 145 square kilometers of the Prudhoe Bay Oilfield. The land cover map of the Beechey Point quadrangle was derived from the Landsat multispectral scanner, aerial photography, and other  field and cartographic methods. The cumulative impact maps of the Prudhoe Bay Oilfield show historical infrastructure and natural changes digitized from aerial photos taken in each successive analysis year (1968, 1970, 1972, 1973, 1977, 1979, 1983, 1990, 2001, and 2010). Nine geoecological attributes are included: dominant vegetation, secondary vegetation, tertiary vegetation, percentage open water, landform, dominant surface form, secondary surface form, dominant soil, and secondary soil. These data document environmental changes in an Arctic region that is affected by both climate change and rapid industrial development.",
         "license": "proprietary"
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         "description": "This data set provides environmental, soil, and vegetation data collected between 1973 and 1980 from 89 study plots in the Prudhoe Bay region of Alaska. Data includes the baseline plot information for vegetation, soils, and site factors for study plots subjectively located in 43 plant communities and 4 broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation, species, and cover; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for classification, mapping, and analysis of geobotanical factors in the Prudhoe Bay region and across Alaska.",
         "license": "proprietary"
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         "description": "The Likely Basal Thermal State of the Greenland Ice Sheet (GrIS) product contains key data sets that show how the likely basal thermal state was inferred from existing airborne and satellite data sets and recent methods, and provides a synthesis mask of the likely basal thermal state over the Greenland Ice Sheet.",
         "license": "proprietary"
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         "description": "This data set contains calculated balance velocity of the Greenland Ice Sheet during the last three quarters of the Holocene epoch (9ka).",
         "license": "proprietary"
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@@ -156385,7 +160285,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1655873481-NSIDC_ECS.html",
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         "description": "This data set contains reprocessed images depicting labels that indicate the sea ice surface category, created by processing <a href=\"https://nsidc.org/data/iodms0\">IceBridge DMS L0 Raw Imagery</a> with the Open Source Sea-ice Processing Algorithm. An orthorectified version of this data set is available as <a href=\"https://nsidc.org/data/rdsisco4\">IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Orthorectified Images</a>.",
         "license": "proprietary"
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@@ -156398,7 +160298,7 @@
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         "description": "This data set contains reprocessed, orthorectified images depicting labels that indicate the sea ice surface category, created by processing <a href=\"https://nsidc.org/data/iodms0\">IceBridge DMS L0 Raw Imagery</a> with the Open Source Sea-ice Processing Algorithm. Orthorectification was done using digital elevation models from the <a href=\"https://nsidc.org/data/iodem3\">IceBridge DMS L3 Ames Stereo Pipeline Photogrammetric DEM</a> collection. The standard (non-orthorectified) images are available as <a href=\"https://nsidc.org/data/rdsisc4\">IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Images</a>.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1543795592-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1543795592-NSIDC_ECS.html",
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         "description": "This data set contains Greenland and Antarctica gravity measurements taken from the Sander Geophysics AIRGrav airborne gravity system.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000001640-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000001640-NSIDC_ECS.html",
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         "description": "This data set contains the traced deep radiostratigraphy of the Greenland Ice Sheet from airborne deep ice-penetrating radar data collected by The University of Kansas Improved Coherent Radar Depth Sounder (ICORDS), Advanced Coherent Radar Depth Sounder (ACORDS), Multi-Channel Radar Depth Sounder (MCRDS), and Multichannel Coherent Radar Depth Sounder (MCoRDS) instruments between 1993 and 2013. This is an IceBridge-related data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929128157-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929128157-ORNL_CLOUD.html",
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         "description": "This dataset holds Level 1B (L1B) radiance data collected by the AVIRIS-Classic instrument near Prince Albert, Saskatchewan, Canada, on August 14, 1996.  This imagery was acquired for the Boreal Ecosystem-Atmosphere Study (BOREAS) project in the boreal forests of central Canada. BOREAS focused on improving the understanding of exchanges of radiative energy, sensible heat, water, CO2 and trace gases between the boreal forest and the lower atmosphere. NASA's AVIRIS-Classic is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-Classic measures reflected radiance in 224 contiguous bands at approximately 10-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 400-2500 nm. The AVIRIS-Classic sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub meter range. For these data, AVIRIS-Classic was deployed on NASA's ER-2 high altitude aircraft.  These spectra are acquired as images with 20-meter spatial resolution, 11 km swath width, and flight lines up to 800 km in length. The measurements are spectrally, radiometrically, and geometrically calibrated. There are seven flight lines subdivided into 66 scenes. The dataset includes the radiance imagery cube for each scene along with calibration and navigation information. The radiance data are in instrument coordinates, georeferenced by center of each scan line, and provided in a binary file. Metadata are included in a mixture of binary and text file formats.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401854-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401854-ORNL_CLOUD.html",
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         "description": "This dataset provides simultaneous in-situ measurements of the photochemical reflectance index (PRI) and radial tree growth of selected white spruce trees (Picea glauca (Moench) Voss) at the northern treeline in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. PRI and dendrometer measurements were simultaneously collected on 29 trees from six plots spaced along a 5.5 km transect from south to north where tree density becomes increasingly sparse. Measurements were made throughout the 2018 and 2019 growing seasons (May 1 to September 15) with a sampling interval of 5 minutes. The data were collected to better understand the suitability of the PRI to remotely track radial tree growth dynamics.",
         "license": "proprietary"
     },
@@ -156970,7 +160870,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145449-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145449-ORNL_CLOUD.html",
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         "description": "This dataset provides maps of rain-on-snow (ROS) events across Alaska for the individual months of November to March 2002-2011 and November to March 2012-2016, and annual water year summary maps for 2003-2011 and 2013-2016. ROS events were defined as changes in passive microwave (PM) detection in surface snow wetness and isothermal states induced by atmospheric processes often associated with winter rainfall. The data are summations of the number of days with ROS events per pixel at 6-km spatial resolution per month or per 5-month water year. The daily ROS record encompassed the months when snowmelt from solar irradiance is minimal and snow cover is widespread and relatively consistent throughout the region. Daily ROS geospatial classification across Alaska was derived by combining snow cover and daily microwave brightness temperature retrievals sensitive to landscape freeze-thaw dynamics from overlapping (1) Moderate Resolution Imaging Spectroradiometer (MODIS) MOD10A2 eight-day maximum snow cover extent (SCE) product and (2) Advanced Microwave Scanning Radiometer for EOS (AMSR-E) (2002-2011) and the Advanced Microwave Scanning Radiometer 2 (AMSR2) (2012-to present) Microwave Radiation Imager (MWRI) observations at 19 GHz and 37 GHz.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403427-ORNL_CLOUD.html",
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         "description": "This dataset reports full-spectrum (350-2500 nm) reflectance measurements of diverse plant communities at the plot-level and individual plant species at the leaf-level, at multiple sites across northern Alaska during the 2017 and 2018 summer field seasons. Plot-level reflectance data (1 m2) include an assemblage of vascular and non-vascular species comprising tundra plant communities, while leaf-level scans are specific to one particular tundra species. Reflectance measurements were collected using a HR-1024i spectrometer and data were calibrated using a Spectralon white reference panel during sampling to correct for changing light conditions. Sampling methods and data and metadata structure follow that of the Ecological Spectral Information System (EcoSIS) Spectral Library.",
         "license": "proprietary"
     },
@@ -157139,7 +161039,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863171-ORNL_CLOUD.html",
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         "description": "This data set is a compilation of soil respiration rates (g C m-2 yr-1) from terrestrial and wetland ecosystems reported in the literature prior to 1992. These rates were measured in a variety of ecosystems to examine rates of microbial activity, nutrient turnover, carbon cycling, root dynamics, and a variety of other soil processes. Also included in the data set are biome type, vegetation type, locality, and geographic coordinates.",
         "license": "proprietary"
     },
@@ -157178,7 +161078,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403517-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403517-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IG1vZGlzLWRlcml2ZWQgbWF4aW11bSBuZHZpLCBub3J0aGVybiBhbGFza2EgYW5kIHl1a29uIHRlcnJpdG9yeSBmb3IgMjAwMi0yMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBbGFza2FfWXVrb25fTkRWSV8xNjE0XCIsXCIxXCIsMjE2MjE0NTQ5Miw1XSIsInVtbSI6IltcImFib3ZlOiBtb2Rpcy1kZXJpdmVkIG1heGltdW0gbmR2aSwgbm9ydGhlcm4gYWxhc2thIGFuZCB5dWtvbiB0ZXJyaXRvcnkgZm9yIDIwMDItMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQWxhc2thX1l1a29uX05EVklfMTYxNFwiLFwiMVwiLDIxNjIxNDU0OTIsNV0ifQ%3D%3D/River_Ice_Breakup_Freezeup_1697_1",
         "description": "This dataset provides estimates of river ice breakup and freeze-up stages along selected reaches of the Yukon and Tanana Rivers in the Yukon River Basin in interior Alaska from 1972-2016. Time series of Landsat satellite images were visually interpreted to identify the day of year and characteristics of the different stages of river ice seasonality. The stages of breakup or freeze-up were distinguished from one another based on the spatial extent and patterns of open water and ice cover. Images were displayed as false color composites, with the shortwave infrared (SWIR), near infrared (NIR), and green bands represented by red, green, and blue.",
         "license": "proprietary"
     },
@@ -158647,7 +162547,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401901-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401901-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IG1vZGlzLWRlcml2ZWQgbWF4aW11bSBuZHZpLCBub3J0aGVybiBhbGFza2EgYW5kIHl1a29uIHRlcnJpdG9yeSBmb3IgMjAwMi0yMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBbGFza2FfWXVrb25fTkRWSV8xNjE0XCIsXCIxXCIsMjE2MjE0NTQ5Miw1XSIsInVtbSI6IltcImFib3ZlOiBtb2Rpcy1kZXJpdmVkIG1heGltdW0gbmR2aSwgbm9ydGhlcm4gYWxhc2thIGFuZCB5dWtvbiB0ZXJyaXRvcnkgZm9yIDIwMDItMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQWxhc2thX1l1a29uX05EVklfMTYxNFwiLFwiMVwiLDIxNjIxNDU0OTIsNV0ifQ%3D%3D/SAR_Methane_Ebullition_AK_1790_1",
         "description": "This dataset provides Synthetic Aperture Radar (SAR) estimates of lake-source methane ebullition flux in mg CH4/m2/d for thousands of lakes in five regions across Alaska. The study regions include the Atqasuk, Barrow Peninsula, Fairbanks, northern Seward Peninsula, and Toolik. L-band SAR backscatter values for early winter lake ice scenes were collected from 2007 to 2010 over 5,143 lakes using the Phased Array type L-band Synthetic Aperture Radar (PALSAR) instrument on the Advanced Land Observing Satellite (ALOS-1) satellite. The backscatter data were combined with field measurements of methane ebullition from 48 study lakes across the five regions to obtain a volumetric flux estimate for each lake. Mean methane gas-fractions from each region were applied to the SAR-based volumetric fluxes to obtain an estimate of methane ebullition mass flux per lake. The data files contain lake perimeters and the lake-specific attributes of lake area, SAR backscatter values and standard errors, volumetric flux with standard errors, mean percent of methane from gas samples, and methane ebullition mass flux.",
         "license": "proprietary"
     },
@@ -160497,6 +164397,19 @@
         "description": "Measurements sponsored by the NSF Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003.",
         "license": "proprietary"
     },
+    {
+        "id": "SHIFT_AVIRISNG_L2A_refl_2376_1",
+        "title": "SHIFT: AVIRIS-NG L2A Unrectified Surface Reflectance Version 1",
+        "catalog": "ORNL_CLOUD STAC Catalog",
+        "state_date": "2022-02-24",
+        "end_date": "2022-05-29",
+        "bbox": "-120.64, 33.86, -117.85, 34.9",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3255170754-ORNL_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3255170754-ORNL_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2hpZnQ6IGF2aXJpcy1uZyBkZXJpdmVkIGdyaWRkZWQgbW9zYWlja2VkIGNhbm9weSB3YXRlciBjb250ZW50LCBjYWxpZm9ybmlhLCAyMDIyXCIsXCJPUk5MX0NMT1VEXCIsXCJTSElGVF9BVk5HX0Nhbm9weV9XYXRlckNvbnRlbnRfMjI0MlwiLFwiMVwiLDI3NTU0NTIxNjgsMl0iLCJ1bW0iOiJbXCJzaGlmdDogYXZpcmlzLW5nIGRlcml2ZWQgZ3JpZGRlZCBtb3NhaWNrZWQgY2Fub3B5IHdhdGVyIGNvbnRlbnQsIGNhbGlmb3JuaWEsIDIwMjJcIixcIk9STkxfQ0xPVURcIixcIlNISUZUX0FWTkdfQ2Fub3B5X1dhdGVyQ29udGVudF8yMjQyXCIsXCIxXCIsMjc1NTQ1MjE2OCwyXSJ9/SHIFT_AVIRISNG_L2A_refl_2376_1",
+        "description": "This dataset contains Level 2A (L2A) unrectified surface reflectance images from NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign which occurred during February to May, 2022, with a follow up activity for one week in September. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect VSWIR data at approximately a weekly cadence across a broad study area, enabling traceability analyses related to the science value of VSWIR revisits. This campaign will generate precise, high-frequency data on plant communities collected over nearly 1,656 square kilometers across Santa Barbara County, California, US, and nearby coastal Pacific waters. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures reflected radiance at 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The AVIRIS-NG sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub-meter range.  The AVIRIS-NG L2A data are provided in ENVI binary format, which includes a flat binary file accompanied by a header (.hdr) file holding metadata in text format.",
+        "license": "proprietary"
+    },
     {
         "id": "SHIFT_AVNG_Canopy_WaterContent_2242_1",
         "title": "SHIFT: AVIRIS-NG Derived Gridded Mosaicked Canopy Water Content, California, 2022",
@@ -160688,7 +164601,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345900038-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345900038-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ3Jvc3MgcHJpbWFyeSBwcm9kdWN0aW9uIG1hcHMgb2YgdGlkYWwgd2V0bGFuZHMgYWNyb3NzIGNvbnRlcm1pbm91cyB1c2EsIDIwMDAtMjAxOVwiLFwiT1JOTF9DTE9VRFwiLFwiVGlkYWxfV2V0bGFuZF9HUFBfQ09OVVNfMTc5MlwiLFwiMVwiLDIzODkxMTk0OTAsNl0iLCJ1bW0iOiJbXCJncm9zcyBwcmltYXJ5IHByb2R1Y3Rpb24gbWFwcyBvZiB0aWRhbCB3ZXRsYW5kcyBhY3Jvc3MgY29udGVybWlub3VzIHVzYSwgMjAwMC0yMDE5XCIsXCJPUk5MX0NMT1VEXCIsXCJUaWRhbF9XZXRsYW5kX0dQUF9DT05VU18xNzkyXCIsXCIxXCIsMjM4OTExOTQ5MCw2XSJ9/SIF_PAR_fPAR_US_Midwest_2018_1813_1",
         "description": "This dataset provides estimated solar-induced chlorophyll fluorescence (SIF) of specific vegetation types and total SIF under clear-sky and real/cloudy conditions at a resolution of 4 km for the Midwest USA. The estimates are 8-day averaged daily means over the 2018 crop growing season for the time period 2018-05-01 to 2018-09-29. SIF of a specific vegetation type (i.e., corn, soybean, grass/pasture, forest) was expressed as the product of photosynthetically active radiation (PAR), the fraction of photosynthetically active radiation absorbed by the canopy (fPAR), and canopy SIF yield (SIFyield) for each vegetation type. Uncertainty of each variable was also calculated and is provided. These components of the SIF model were derived using a TROPOspheric Monitoring Instrument (TROPOMI) dataset, the USDA National Agricultural Statistics Service Cropland Data Layer, and the MODIS MCD15A2H 8-day 500 m fPAR product. These data could be used to improve estimates of vegetation productivity and vegetation stress.",
         "license": "proprietary"
     },
@@ -160701,7 +164614,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2847119443-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2847119443-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGdhcyBmbGFyZSBzdXJ2ZXkgYnkgaW5mcmFyZWQgaW1hZ2luZywgdmlpcnMgbmlnaHRmaXJlLCAyMDEyLTIwMTlcIixcIk9STkxfQ0xPVURcIixcIk1ldGhhbmVfRmxhcmluZ19TaXRlc19WSUlSU18xODc0XCIsXCIxXCIsMjM0NTg3NzU1NCw1XSIsInVtbSI6IltcImdsb2JhbCBnYXMgZmxhcmUgc3VydmV5IGJ5IGluZnJhcmVkIGltYWdpbmcsIHZpaXJzIG5pZ2h0ZmlyZSwgMjAxMi0yMDE5XCIsXCJPUk5MX0NMT1VEXCIsXCJNZXRoYW5lX0ZsYXJpbmdfU2l0ZXNfVklJUlNfMTg3NFwiLFwiMVwiLDIzNDU4Nzc1NTQsNV0ifQ%3D%3D/SIF_SCIAMACHY_GOME2_Harmonized_2317_2",
         "description": "This dataset provides global solar-induced chlorophyll fluorescence (SIF) estimates at a 0.05-degree resolution (approximately 5 km at the equator) for each month from January 2003 through December 2017. SIF data (740 nm) was retrieved from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) and Global Ozone Monitoring Experiment 2 (GOME-2) instruments onboard the MetOp-A satellite. The data were downscaled to 0.05 degrees using the Random Forest algorithm and predictors from Moderate Resolution Imaging Spectroradiometer (MODIS) and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis, and then harmonized with the cumulative distribution function (CDF) matching technique. The uncertainty of the harmonized SIF estimates was also quantified and provided. Validation of the harmonized product showed that it retained high spatial and temporal consistency with the original SCIAMACHY and GOME-2 SIF retrievals and had good correlations with independent airborne and ground-based SIF measurements. The dataset can inform on the synergy between satellite SIF and photosynthesis and research on drought, yield estimation, and land degradation evaluation. The data are provided in netCDF format.",
         "license": "proprietary"
     },
@@ -161416,7 +165329,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539078443-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539078443-NSIDC_ECS.html",
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         "description": "This ancillary SMAP product contains three dynamic GMAO GEOS-5 modeled data sets. Each data set contains surface and atmospheric parameters pertinent to SMAP provided in 1) hourly, 2) 3-hour, and 3) averaged over 3-hour intervals.",
         "license": "proprietary"
     },
@@ -161429,7 +165342,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539129339-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539129339-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjEgdGltZSBzZXJpZXMgc25vdyBwaXRzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIxX1RTX1NQXCIsXCIxXCIsMzA0Njk4NzYwNiwxNl0iLCJ1bW0iOiJbXCJzbm93ZXgyMSB0aW1lIHNlcmllcyBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjFfVFNfU1BcIixcIjFcIiwzMDQ2OTg3NjA2LDE2XSJ9/SMAP_L1_L3_ANC_NOAA_1",
         "description": "This ancillary SMAP product contains six dynamic data sets originally produced by NOAA or NOAA-affiliated organizations.  1) NCEP Geophysical Forecast System modeled data provided in 6-hour time steps  2) Daily Reynolds Sea Surface Temperature data  3) Snow Cover data from NOAA Interactive Multisensor Snow and Ice Mapping System  4) NOAA Solar Radio Flux  5) GPS-derived total electron content used to compute the Faraday rotation correction for the SMAP radar  6) Instantaneous wave height measures",
         "license": "proprietary"
     },
@@ -161442,7 +165355,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539129338-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539129338-NSIDC_ECS.html",
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         "description": "This ancillary SMAP product contains two dynamic data sets describing 1) the attitude and 2) the trajectory of the SMAP satellite. The data files are generated using quaternions from the SMAP spacecraft and inputs from earth receiving stations, respectively.",
         "license": "proprietary"
     },
@@ -161455,7 +165368,7 @@
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         "license": "proprietary"
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         "license": "proprietary"
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         "description": "This ancillary SMAP product contains MODIS Fractional Photosynthetically Active Radiation (FPAR) model log files, including model outputs.",
         "license": "proprietary"
     },
@@ -161572,7 +165485,7 @@
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         "description": "This ancillary SMAP product contains static restart files for the Land Data Assimilation Systems (LDAS) Catchment model. This product includes prognostic variables for both the catchment model and perturbations model.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1452811724-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1452811724-NSIDC_ECS.html",
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         "description": "This data set contains measurements of the bidirectional reflectance distribution function (BRDF) for two locations in Colorado, USA: Grand Mesa, a snow-covered, forested study site about 40 miles east of Grand Junction; and Senator Beck Basin approximately 80 miles to the SSE of Grand Mesa.  Measurements were acquired using the NASA Cloud Absorption Radiometer (CAR), an airborne multi-angular, multi-wavelength scanning radiometer. The CAR instrument measures scattered light in 14 spectral bands between 0.34\u00a0\u03bcm and 2.30\u00a0\u03bcm, which lie in\u00a0the UV, visible, and near-infrared atmospheric windows.  Data were obtained for a variety of conditions including\u00a0snow grain size\u00a0(or age),\u00a0snow liquid water content,\u00a0solar zenith angle,\u00a0cloud cover,\u00a0and snowpack thickness. The data set can be used to assess the accuracy of satellite reflectance and albedo products in snow-covered, forested landscapes.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1537499848-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1537499848-NSIDC_ECS.html",
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         "description": "This data set contains the coordinates of SnowEx infrastructure in Grand Mesa, Colorado, collected through a differential GNSS real-time kinematic (RTK) survey. The surveys were conducted at 244 stakes along 90 transects, 31 snow pits, 24 time-lapse cameras, and 15 reference poles used to estimate snow depth from camera images. Data files report the name, location, elevation, horizontal and vertical precision, date and time, original easting and northing, and any relevant notes for each survey point.  Readings were collected using a Trimble R8 GNSS base station and two rovers: a Trimble R8 (Hiemstra) and a Trimble R10 (Gelvin). Both rovers were deployed within approximately 6km of the base station and equipped with a GNSS antennae and a base-station radio antennae from which to receive corrections.",
         "license": "proprietary"
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         "description": "This data set contains the results of a ground penetrating radar survey conducted at Grand Mesa, Colorado. Data include the two-way travel time, calculated snow depth, and calculated snow water equivalent. Data were collected between 08 February 2017 and 25 February 2017 as part of the 2017 SnowEx campaign.  The unprocessed, raw data are also archived at NSIDC (DOI: 10.5067/ZPOLBRHVWG5V).",
         "license": "proprietary"
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         "description": "This data set contains the RAW and UNPROCESSED results of a ground penetrating radar survey conducted as part of the 2017 SnowEx campaign. The processed data can be found here: https://dx.doi.org/10.5067/NPZYNEEUGQUO  Data were collected between 08 February 2017 and 25 February 2017 at Grand Mesa, Colorado. Grand Mesa is a snow-covered, forested study site about 40 miles east of Grand Junction, Colorado.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1550139370-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1550139370-NSIDC_ECS.html",
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         "description": "This data set contains brightness temperature readings. Brightness temperatures were measured using a KT-15 pyrometer flown on a P-3 aircraft over 2017 SnowEx campaign study areas in Colorado, USA: Grand Mesa, a snow-covered, forested study site about 40 miles east of Grand Junction; and Senator Beck Basin, approximately 80 miles to the SSE of Grand Mesa. Data represents the nadir brightness temperature below the aircraft.",
         "license": "proprietary"
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         "description": "This data set contains video footage of two locations in Colorado, USA: Grand Mesa, a snow-covered forested study site about 40 miles east of Grand Junction, and Senator Beck Basin, approximately 80 miles to the SSE of Grand Mesa. Video footage was captured using a video camera mounted to the belly of a P-3 aircraft during the 2017 SnowEx science flights. The video footage is raw.",
         "license": "proprietary"
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@@ -163600,7 +167513,7 @@
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         "description": "This data set contains infrared camera images collected during the 2017 SnowEx campaign in Grand Mesa and Senator Beck Basin, Colorado. Images were taken using a Quantum Well Infrared Photodetector (QWIP) camera system manufactured by QmagiQ and mounted to the P-3 aircraft, which was flown over the study areas. The QWIP camera records images at a rate of 60 Hz and has a field of view of 11x9 degrees. The QWIP camera can distinguish temperature variations of approximately 0.02\u00b0C.  This data set contains raw QWIP data, presented as \"counts.\" Data are contained in TIFF image files with dimensions of 320x256 counts.",
         "license": "proprietary"
     },
@@ -163613,7 +167526,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1597736755-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1597736755-NSIDC_ECS.html",
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         "description": "This data set consists of surface-based radiometer (SBR) brightness temperatures of the snow surface and vegetation at Grand Mesa, CO, USA, acquired during NASA's 2017 SnowEx campaign. Four SBRs were deployed in the field and obtained measurements at 89, 37, 19, and 10.67 GHz in both vertical (V-pol) and horizontal (H-pol) polarizations. Data are available for 37 locations across Grand Mesa collected over five days in February, 2017. They include both 2-4 minute observations and 20 minute, continuous measurements during surface melt, with the latter designed to capture the brightness temperature increase caused by the presence of liquid water in the snow.   This data set also contains snowfork measurements of snow wetness for 13 sites.",
         "license": "proprietary"
     },
@@ -163626,7 +167539,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1519650284-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1519650284-NSIDC_ECS.html",
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         "description": "This data set, part of the SnowEx 2017 campaign, contains in situ snow depth measurements at two locations in Colorado, USA: Grand Mesa, a snow-covered, forested study site about 40 miles east of Grand Junction; and Senator Beck Basin approximately 80 miles to the SSE of Grand Mesa. Measurements were obtained approximately 3 meters apart along multiple transects, using either a standard, handheld 3 meter long probe or a 1.2 meter long MagnaProbe.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3234861962-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3234861962-NSIDC_ECS.html",
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         "description": "This data set contains snowpack relative permittivities and densities derived from Ground Penetrating Radar (GPR) surveys and airborne lidar observations of snow depths. The results of the original GPR surveys are published in the <a href=\"https://doi.org/10.5067/G21LGCNLFSC5\">SnowEx17 Ground Penetrating Radar, Version 2</a> data set, while the lidar snow depths were sourced from <a href=\"https://doi.org/10.5067/KIE9QNVG7HP0\"> ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1</a>. Data are available between 08 Feb 2017 to 25 Feb 2017 from Grand Mesa, a snow-covered, forested area about 40 miles east of Grand Junction. Parameters include two-way travel (TWT) time, lidar-measured snow depth, calculated snow water equivalent (SWE), calculated snow density, and calculated relative permittivity.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1720458466-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1720458466-NSIDC_ECS.html",
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         "description": "This data set consists of raw penetration force profiles measured at 8 different snow pits located in Senator Beck, Colorado using the SnowMicroPen (SMP), a digital snow penetrometer. The data files contain force measurements (in Newtons) at various snow depths.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1423026967-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1423026967-NSIDC_ECS.html",
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         "description": "This data set contains raw penetration force profiles measured at snow pits and along linear transects at Grand Mesa, Colorado using the SnowMicroPen (SMP), a digital snow penetrometer. The data files contain force measurements (in Newtons) at various snow depths.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1460448213-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1460448213-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcga3QtMTUgaW5mcmFyZWQgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19LVDE1X1RCXCIsXCIxXCIsMTU1MDEzOTM3MCwxMDBdIiwidW1tIjoiW1wic25vd2V4MTcga3QtMTUgaW5mcmFyZWQgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19LVDE1X1RCXCIsXCIxXCIsMTU1MDEzOTM3MCwxMDBdIn0%3D/SNEX17_SSA_1",
         "description": "This data set reports vertical profiles of snow reflectance, specific surface area (SSA), and optical equivalent diameter (grain size) at Grand Mesa, Colorado, USA, a snow-covered, forested study site about 40 miles east of the city of Grand Junction, CO. Reflectance was measured <em>in situ</em> using a 1310\u00a0nm integrating sphere laser device and converted to SSA and optical equivalent diameter.",
         "license": "proprietary"
     },
@@ -163691,7 +167604,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1527470986-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1527470986-NSIDC_ECS.html",
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         "description": "This data set contains 15-min snow depth observations for two study sites on Grand Mesa, CO, USA, acquired as part of NASA's 2017 SnowEx campaign. The data were recorded using two arrays of Judd Communications Ultrasonic Depth Sensors, configured as a TLS K footprint on the west side of the mesa and a TLS N footprint in the east. The sensors were positioned to represent three primary vegetation conditions: open-canopy; canopy-edge; and closed-canopy. A total of 10 and 7 sensors recorded usable data at the west and east sites, respectively, from the beginning of the snow season in November 2016 through the end in June 2017.  These data can be used for a variety of purposes, including: model forcing, calibration, and validation; evaluation of airborne and satellite remote sensing data; to analyze how vegetation affects snow accumulation and ablation.",
         "license": "proprietary"
     },
@@ -163704,7 +167617,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1518642794-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1518642794-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic21hcHZleDE5LTIyIG1hc3NhY2h1c2V0dHMgdGVtcG9yYXJ5IHNvaWwgbW9pc3R1cmUgbmV0d29yayB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNWMTlNQV9UTkVUXCIsXCIxXCIsMjY1NDQ2OTk3Myw2NF0iLCJ1bW0iOiJbXCJzbWFwdmV4MTktMjIgbWFzc2FjaHVzZXR0cyB0ZW1wb3Jhcnkgc29pbCBtb2lzdHVyZSBuZXR3b3JrIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU1YxOU1BX1RORVRcIixcIjFcIiwyNjU0NDY5OTczLDY0XSJ9/SNEX17_SnowPits_1",
         "description": "This data set contains measurements of snow temperature, density, stratigraphy, grain size, wetness, depth, and snow water equivalent (SWE) for snow pits at two study sites in Colorado, USA: Grand Mesa and Senator Beck Basin. Data were collected during the NASA SnowEx 2017 campaign.",
         "license": "proprietary"
     },
@@ -163717,7 +167630,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1708383658-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1708383658-NSIDC_ECS.html",
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         "description": "This data set, part of the SnowEx 2017 campaign, contains multi-look synthetic aperture radar (SAR) amplitude images. The images are stored in netCDF files; browse images are also available. Data were collected using the SnowSAR instrument at the X (9.6 GHz) and Ku (17.25 GHz) bands. The SnowSAR instrument flew on the NP-3C Orion aircraft and captured data from across Colorado, including near the SnowEx 2017 Grand Mesa, Colorado study site and Vail, Colorado. Data were acquired between 16 February 2017 and 22 February 2017 and have a resolution of 1 meter by 1 meter.",
         "license": "proprietary"
     },
@@ -163730,7 +167643,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1722859882-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1722859882-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcga3QtMTUgaW5mcmFyZWQgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19LVDE1X1RCXCIsXCIxXCIsMTU1MDEzOTM3MCwxMDBdIiwidW1tIjoiW1wic25vd2V4MTcga3QtMTUgaW5mcmFyZWQgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19LVDE1X1RCXCIsXCIxXCIsMTU1MDEzOTM3MCwxMDBdIn0%3D/SNEX17_SnowSAR_Raw_1",
         "description": "This data set, part of the SnowEx 2017 campaign, contains raw data captured from the SnowSAR instrument. The processed SnowSAR data are also archived at NSIDC (DOI: 10.5067/TWRTXCYBCBB8).  The SnowSAR instrument flew on the NP-3C Orion aircraft and collected data at the X (9.6 GHz) and Ku (17.25 GHz) bands. Data were captured across Colorado, including near the SnowEx 2017 Grand Mesa, Colorado study site and Vail, Colorado. Data were acquired between 16 February 2017 and 22 February 2017.",
         "license": "proprietary"
     },
@@ -163743,7 +167656,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2176470394-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2176470394-NSIDC_ECS.html",
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         "description": "This data set contains time-lapse images. Cameras were placed around Grand Mesa, CO at 34 sites and around Senator Beck Basin, CO at one site, coincident with other SnowEx 2017 measurements, including the TLS scans, sonic snow depth arrays, weather stations, and local scale observation sites.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1586132415-NSIDC_ECS.html",
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         "description": "This data set contains terrestrial laser scanner (TLS) point cloud data collected as part of the 2017 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2016) and snow-on (February 2017) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). These TLS data can be used to determine snow depth and explore the interactions between snow and vegetation.",
         "license": "proprietary"
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         "description": "This data set contains raw, unprocessed terrestrial laser scanner (TLS) point cloud data collected as part of the 2017 SnowEx campaign in Grand Mesa, Colorado. Data were collected in the fall (September 2016) and winter (February 2017). Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i).",
         "license": "proprietary"
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         "description": "This data set contains terrestrial LIDAR survey (TLS) point cloud data collected at Grand Mesa, Colorado as part of the 2017 SnowEx campaign. Data were collected in the fall (September and October) and winter (February) seasons. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), along with ancillary information, such as intensity (i) and color (R,G,B), where available. This is unprocessed data which has not been classified by land use (e.g. bare earth, low vegetation, trees).",
         "license": "proprietary"
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         "description": "This data set consists of ground-based scatterometer data acquired during the SnowEx 2017 campaign at Grand Mesa, Colorado, USA, a snow-covered, forested study site about 40 miles east of the city of Grand Junction, CO. The data comprise operational parameters used during data acquisition, Mueller matrices for each acquisition, and the nearfield-corrected normalized radar cross section (NRCS) in VV, VH, HV, and HH polarizations. Range profile data are also provided for each scan which report the raw power returned as a function of range from the antenna.",
         "license": "proprietary"
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         "description": "Gravimetric soil moisture data measured from collected soil samples in autumn 2019 as part of the NASA SnowEx 2020 campaign at Grand Mesa, CO. A total of 77 soil samples were taken at snow pit locations, soil moisture stations, and other areas where both the mobile and stationary COsmic-ray Soil Moisture Observing Systems (COSMOS) operated.",
         "license": "proprietary"
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         "description": "Snow depth was measured in autumn 2019 as part of the NASA SnowEx 2020 campaign at Grand Mesa, CO. Measurements were taken in the vicinity of snow pit locations and between pit locations using a Magnaprobe or manual depth probes.",
         "license": "proprietary"
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@@ -163834,7 +167747,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2135287770-NSIDC_ECS.html",
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         "description": "This data set contains snow pit measurements obtained as part of the SnowEx 2020 campaign at the Grand Mesa, Colorado, USA site in Autumn 2019. 21 locations were visited for snow pit observations. Some snow pit measurements are incomplete due to shallow or discontinuous snow cover.",
         "license": "proprietary"
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@@ -163847,7 +167760,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2053928728-NSIDC_ECS.html",
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         "description": "Snow water equivalent (SWE) measurements of the autumn shallow snow were obtained using SWE samplers (also referred to as SWE tubes) during the NASA SnowEx 2020 campaign (03-06 Nov. 2019) at Grand Mesa, CO. 221 measurements were taken in the vicinity of snow pit locations.",
         "license": "proprietary"
     },
@@ -163860,7 +167773,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2759079563-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2759079563-NSIDC_ECS.html",
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         "description": "This data set contains raw penetration force profiles from the SnowEx 2020 Time Series campaign in the Boise River Basin in Idaho. Measurements were taken using the SnowMicroPen (SMP), a digital snow penetrometer, from three snow pits. The data files contain force measurements of the snowpack from the top of the snow surface to the ground. Measurements took place approximately weekly between 18 December 2019 and 24 January 2020.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892408-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892408-NSIDC_ECS.html",
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         "description": "This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain the geolocated, unprocessed, common midpoint (CMP) gathers from a Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR). Multi-offset gathers were collected by placing antennas on the snow surface and expanding the antenna separation about a fixed midpoint out to a 2 m offset. CMP gathers were collected in HH and HV polarizations. Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8  were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3).  These data can be used to estimate snow depth, snow density, and snow water equivalent (SWE).",
         "license": "proprietary"
     },
@@ -163886,7 +167799,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1998359549-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1998359549-NSIDC_ECS.html",
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         "description": "This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain snow water equivalent (SWE) estimates. SWE is derived from Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR) two-way travel times.  Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8  were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3).  The raw version of these data (DOI: 10.5067/CL5ZRBCEF8G3) are also archived at NSIDC.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1998360094-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1998360094-NSIDC_ECS.html",
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         "description": "This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain the radar two-way travel times from a Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR). Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8  were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3).  The raw version of these data (DOI: 10.5067/CL5ZRBCEF8G3) are also archived at NSIDC.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1950140505-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1950140505-NSIDC_ECS.html",
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         "description": "This data set contains snow water equivalent (SWE) and snow depth estimates derived from Ground Penetrating Radar (GPR) measurements. GPR measurements were collected during the SnowEx 2020 Grand Mesa Intensive Observation Period (IOP) between 28 January and 04 February 2020. Snow depth was estimated from GPR two-way travel times and average radar velocity; SWE was estimated from snow depth and snow density.  These data are derived from the SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR Raw, Version 1 data set (DOI: 10.5067/CJNEM8UDNXKA)",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1937994967-NSIDC_ECS.html",
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         "description": "This data set contains the geolocated, unprocessed results of a ground penetrating radar survey conducted as part of the 2020 SnowEx campaign. Data were collected at Grand Mesa, Colorado (a snow-covered, forested study site) between 28 January 2020 and 04 February 2020.",
         "license": "proprietary"
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@@ -163938,7 +167851,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025305209-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025305209-NSIDC_ECS.html",
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         "description": "This data set contains the results of ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx20 campaign. Data include two-way travel time, pit-measured snow density, calculated snow depth, and calculated snow water equivalent. Data were collected between 18 December 2019 and 12 March 2020",
         "license": "proprietary"
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@@ -163951,7 +167864,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025305138-NSIDC_ECS.html",
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         "description": "This data set contains the raw files from ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx20 campaign. Data were collected between 18 December 2019 and 12 March 2020.",
         "license": "proprietary"
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@@ -163964,7 +167877,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2888869172-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2888869172-NSIDC_ECS.html",
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         "description": "This data set contains the results of ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx20 campaign. Data include two-way travel time, lidar-measured snow depth, derived snow water equivalent, derived snow density, and derived relative permittivity. Ground-penetrating radar two-way travel times were sourced from two previously published data sets: <a href=\"https://doi.org/10.5067/U4Q3X27BMRR4\">SnowEx20 Cameron Pass Ground Penetrating Radar, Version 1</a> and <a href=\"https://doi.org/10.5067/SRWGLYCB6ZC4\">SnowEx21 Cameron Pass Ground Penetrating Radar, Version 1</a>. The new data presented here represents a recalculation of the snow water equivalent (SWE), snow density, and relative permittivity using terrestrial lidar scan (TLS) data.",
         "license": "proprietary"
     },
@@ -163977,7 +167890,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892324-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892324-NSIDC_ECS.html",
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         "description": "This data set contains the raw and processed data files from a COSMOS Rover soil moisture probe. The COSMOS Rover uses fast neutron counting to estimate soil moisture over a region up to 300m from the vehicle. Data were collected in one-minute intervals over four days (04 November to 07 November 2019) of driving around Grand Mesa, Colorado. Raw data parameters include atmospheric pressure, temperature, and relative humidity. These raw observations were converted to volumetric soil moisture in the processed data files.",
         "license": "proprietary"
     },
@@ -163990,7 +167903,7 @@
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         "description": "These data contain raw and processed hourly observations from a Hydroinnova COSMOS Stationary sensor probe. Parameters in the raw files include atmospheric pressure, temperature, and relative humidity. These observations were converted to volumetric soil moisture in the processed data files. Data were collected between 26 August 2019 and 31 May 2020 at Grand Mesa, Colorado and represent a 200 m to 300 m area around the instrument.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2053929094-NSIDC_ECS.html",
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         "description": "This data set consists of soil moisture and soil temperature measurements taken during the SnowEx 2020 field campaign. Soil moisture probes were deployed at 10 stations within the Colorado Grand Mesa study area and monitored soil properties at three different depths (5, 10, and 20 cm).",
         "license": "proprietary"
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@@ -164016,7 +167929,7 @@
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         "description": "This data set contains geolocation information of the infrastructure locations for the SnowEx20 Intensive Observation Period (IOP) and Time Series (TS) campaigns. Available scientific infrastructure locations in this data set are tower and sensor locations, aircraft flight lines, planned and actual snow pit locations, and time-lapse camera locations. Additionally, this data set contains areal snow depth and tree density classification matrix over the Grand Mesa, CO study area.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2083503776-NSIDC_ECS.html",
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         "description": "This data set contains two-way travel times, snow depth and snow water equivalent (SWE) collected with a Sensors & Software 1GHz ground penetrating radar (GPR) as part of the SnowEx 2020 Intensive Observation Period (IOP) at Grand Mesa, Colorado between 06 February 2020 and 09 February 2020.  These data are derived from the SnowEx20 Grand Mesa IOP CSU 1GHz GPR Raw, Version 1 data set (DOI: 10.5067/CT6NS2LIASRS)",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2083503967-NSIDC_ECS.html",
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         "description": "This data set the raw files collected with a Sensors & Software 1GHz ground penetrating radar (GPR) as part of the SnowEx 2020 Intensive Observation Period (IOP) at Grand Mesa, Colorado between 06 February 2020 and 09 February 2020.  The more processed data are published in SnowEx20 Grand Mesa IOP CSU 1GHz GPR, Version 1 (DOI: 10.5067/S5EGFLCIAB18)",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2695623073-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2695623073-NSIDC_ECS.html",
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         "description": "This data set characterizes snow microstructure for 6 snow pits from the SnowEx 2020 Grand Mesa Intensive Observation Period (February 2020) using microcomputed tomography (micro-CT). Included with this data set are two- and three-dimensional microstructural analysis of DMP/DEP casted and un-casted snow samples, available as .xlsx and .txt file, and visual representations of the three-dimensional snow structure, available is .bmp image files. Containers of snow were collected at 6 snow pits in approximately 17 cm intervals. There were approximately 5-8 discrete containers per pit and each container had an ~2 cm overlap with the sample below. A 6-cm section of snow was dissected from each container of snow, which were analyzed in ~2 cm sub-sections. Each sub-section was scanned in three intervals using a micro-CT instrument. The three interval scans comprise multiple slices, and were combined into the reconstructed final scan used for calculating the snow microstructural data.",
         "license": "proprietary"
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@@ -164068,7 +167981,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3142513079-NSIDC_ECS.html",
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         "description": "This data set contains rasterized snow depth maps derived from lidar point cloud data collected from Grand Mesa, Colorado during the SnowEx20 campaign. The subset data file was used as input data to derive SWE and snow density data, which is available as <a href=\"https://doi.org/10.5067/LANQ53RTJ2DR\">SnowEx20 Grand Mesa IOP Lidar and GPR-Derived Snow Water Equivalent and Snow Density, Version 1</a>.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1990738958-NSIDC_ECS.html",
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         "description": "This data set contains snow pit observations from the SnowEx 2020 Grand Mesa Intensive Observation Period. Data were collected from 154 snow pits on Grand Mesa, Colorado between 27 January and 12 February 2020. The main parameters for this data set are snow temperature, snow depth, snow density, snow stratigraphy, snow grain size, liquid water content, and snow water equivalent. In addition to data files, this data set also contains site photos from each snow pit.",
         "license": "proprietary"
     },
@@ -164094,7 +168007,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3140422168-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3140422168-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgY3JyZWwgdGVycmVzdHJpYWwgbGFzZXIgc2Nhbm5lciAodGxzKSBwb2ludCBjbG91ZCB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9UTFNfUENfQ1JSRUxcIixcIjFcIiwxOTM3OTk0NTQ5LDczXSIsInVtbSI6IltcInNub3dleDIwIGNycmVsIHRlcnJlc3RyaWFsIGxhc2VyIHNjYW5uZXIgKHRscykgcG9pbnQgY2xvdWQgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfVExTX1BDX0NSUkVMXCIsXCIxXCIsMTkzNzk5NDU0OSw3M10ifQ%3D%3D/SNEX20_GM_SWE_SD_1",
         "description": "This data set contains snow water equivalent (SWE) and snow density raster data derived from a lidar-based snow depth data set (<a href=\"https://doi.org/10.5067/M9TPF6NWL53K\">SnowEx20 Grand Mesa IOP QSI Lidar Snow Depth Data, Version 1</a>), a lidar-based digital terrain model (<a href=\"https://doi.org/10.5067/2EHMWG4IT76O\">ASO L4 Lidar Point Cloud Digital Terrain Model 3m UTM Grid, Version 1</a>), and two GPR data sets (<a href=\"https://doi.org/10.5067/Q2LFK0QSVGS2\">SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR, Version 1</a> and <a href=\"https://doi.org/10.5067/WE9GI1GVMQF6\">Mesa IOP UNM 800 and 1600 MHz MALA GPR, Version 1</a>). Data was collected during the NASA SnowEx 2020 field campaign in Grand Mesa, Colorado.",
         "license": "proprietary"
     },
@@ -164107,7 +168020,7 @@
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         "description": "This data set contains hourly ground surface temperature measurements collected between 20 October 2019 and 18 July 2020. Data were collected at 7 points along two plant monitoring transects in the Upper Basin of the Senator Beck Study Basin. Temperatures were measured using iButton temperature sensors.",
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         "description": "This data set, collected during the SnowEx 2020 Intensive Operation Period (IOP) in Grand Mesa, Colorado, contains in situ snow depth measurements. Snow depth was measured using one of three instruments - Magnaprobe, Mesa 2, or pit ruler. Pit ruler data were collected from 150 snow pits identified for the Grand Mesa IOP. Magnaprobe and Mesa 2 data were collected along spiral tracks moving outwards from snow pit locations. This data set has a temporal coverage from 28 January to 12 February 2020.",
         "license": "proprietary"
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@@ -164224,7 +168137,7 @@
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         "description": "This data contains snow depth measurements derived from time-lapse images collected by cameras placed around Grand Mesa, CO at 29 sites coincident with other SnowEx 2020 measurements. The field view of all cameras includes a 3.049 m, (10 ft) vertical pole that was painted red with a yellow top to serve as a reference for quantifying snow depth. The time-lapse images are archived separately at NSIDC (SNEX20_TLI).",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1931426050-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1931426050-NSIDC_ECS.html",
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         "description": "This data set contains raw penetration force profiles from the SnowEx 2020 Intensive Observation Period in Grand Mesa, Colorado. Measurements were taken using the SnowMicroPen (SMP), a digital snow penetrometer. The data files contain force measurements (in Newtons) at various snow depths. Data are available from 28 January 2020 through 12 February 2020.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1970755314-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1970755314-NSIDC_ECS.html",
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         "description": "This data set contains vertical profiles of snow reflectance, specific surface area (SSA), and spherical equivalent snow grain diameter. Data were collected during the SnowEx 2020 Grand Mesa, Colorado Intensive Observation Period between 27 January and 12 February 2020. Reflectance was measured at snow pits using one of two integrating sphere laser devices, IRIS (InfraRed IntegraXng Sphere) or IceCube. SSA and spherical equivalent diameter were then derived from reflectance.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2068420609-NSIDC_ECS.html",
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         "description": "This data set contains airborne microwave brightness temperature observations from the Goddard Space Flight Center SWESARR (Snow Water Equivalent Synthetic Aperture Radar and Radiometer) instrument during the winter (10-12 February 2020) NASA SnowEx 2020 campaign at Grand Mesa, CO. Observations were made at three frequencies (10.65, 18.7, and 36.5 GHz; referred to as X, K, and Ka bands, respectively), at horizontal polarization with a nominal 45-degree look angle.",
         "license": "proprietary"
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         "description": "This data set contains sub-daily time-lapse images collected by cameras placed around Grand Mesa, CO at 29 sites coincident with other SnowEx 2020 measurements. The field view of all cameras includes a 3.049 m, (10 ft) vertical pole that was painted red with a yellow top to serve as a reference for quantifying snow depth. Snow depth data derived from these time-lapse images will be published separately at NSIDC.",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996524638-NSIDC_ECS.html",
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         "description": "This data set contains terrestrial laser scanner (TLS) point cloud data collected as part of the 2020 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2019) and snow-on (February 2020) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). These TLS data can be used to determine snow depth and explore the interactions between snow and vegetation.",
         "license": "proprietary"
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         "description": "This data set contains raw, unprocessed terrestrial laser scanner (TLS) point cloud data collected as part of the 2020 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2019) and snow-on (February 2020) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). A processed version of this data set can be found here: https://doi.org/10.5067/F0M99WK7JW4X.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1937994549-NSIDC_ECS.html",
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         "description": "This data set contains terrestrial LIDAR survey (TLS) point cloud data collected at Grand Mesa, Colorado as part of the 2020 SnowEx campaign. Data were collected in fall 2019 (September) and winter 2020 (January and February). Each data file contains X, Y, and Z coordinates (Easting, Northing, and Elevation), along with ancillary information, such as intensity (i) and color (R,G,B), where available.",
         "license": "proprietary"
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@@ -164328,7 +168241,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929469669-NSIDC_ECS.html",
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         "description": "The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2020 campaign. Between October 2019 and May 2020, data were collected from 454 snow pits at 12 regional locations throughout California, Colorado, Idaho, New Mexico, and Utah, USA. At each of the locations, between 1 and 11 sites covering a range of conditions (terrains, snow depths, etc.) were chosen for weekly snow pit observations.  Also available are photos of the field notes and snow pit sites.",
         "license": "proprietary"
     },
@@ -164341,7 +168254,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2059268334-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2059268334-NSIDC_ECS.html",
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         "description": "This data set contains two-way travel times, snow depth and now water equivalent from a ground penetrating radar survey conducted at Grand Mesa, Colorado. Data were collected between 28 January 2020 and 06 February 2020 as part of the SnowEx 2020 campaign.",
         "license": "proprietary"
     },
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         "description": "This data set contains an eight-day time series of vertical temperature profile measurements. Measurements were collected using a thermoprobe to a depth of 30 cm at two site locations. These data were collected as part of the SnowEx 2020 Intensive Observation Period in Grand Mesa, Colorado. Alongside temperature profiles, this data set contains snow depth measurements, manual temperature measurements, and thermal infrared camera images. These data are published without QA/QC or calibration with manual measurements.",
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         "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx21 campaign. Data include two-way travel time, pit-measured snow density, calculated snow depth, and calculated snow water equivalent. Data were collected between 13 January 2021 and 27 May 2021.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2551380225-NSIDC_ECS.html",
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         "description": "This data set contains the raw files from ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx21 campaign. Data were collected between 13 January 2021 and 27 May 2021.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2215574184-NSIDC_ECS.html",
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         "description": "This data set consists of soil moisture and soil temperature measurements taken during the SnowEx 2021 field campaign. Soil moisture probes were deployed at 9 locations within the Montana Prairie Station study area and monitored soil properties at four different depths (5, 10, 20 and 50 cm).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3241729770-NSIDC_ECS.html",
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         "description": "This dataset consists of Digital Surface Models (DSMs) derived from UAV-LiDAR acquired during the SnowEx 2021 field campaign at the Central Agricultural Research Center in central Montana (USA). The DSMs are at 0.3 m resolution and consist of one snow-off and seven snow-on flights.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3241728800-NSIDC_ECS.html",
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         "description": "This data set contains observations from a meteorological station installed at the Central Agricultural Research Center in Moccasin Montana as part of the NASA SnowEx 2021 Prairie Snow field campaign. Parameters include: air temperature, wind speed and direction, and barometric pressure. Data are available from 12 November 2020 through 2 March 2021.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2560987849-NSIDC_ECS.html",
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         "description": "This data set provides apparent surface spectral reflectance imagery which demonstrates snow albedo and snow optical property evolution across two distinct snow-covered environments in Colorado. Data collection occurred in the spring of 2021 as part of the NASA SnowEx mission. The two study sites (Senator Beck Basin and Grand Mesa) were chosen for their contrasting terrain and vegetation characteristics. Data collection occurred over three days (19 March, 1 April, and 29 April) to produce a time series data set across varying snow conditions.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3046987606-NSIDC_ECS.html",
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         "description": "The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2021 field campaign. Between November 2020 and May 2021 data from 247 snow pits were collected at 24 unique sites distributed over 4 states (CO, ID, MT, UT) throughout the Western United States. Five of the unique sites had a single visit to establish baseline conditions, while the remaining 19 sites had 3 or more repeat visits throughout the season, with a median visit count of 11.5. On a weekly interval, a snow pit was dug approximately 1 m away from the previous week\u2019s snow pit. Available measured parameters are: snow depth, snow temperature, snow density, stratigraphy, grain size, manual wetness, liquid water content (LWC), and snow water equivalent (SWE). Also available are photos of the field notes and snow pit sites.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854618795-NSIDC_ECS.html",
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         "description": "This data set contains digital terrain models (DTMs) derived from terrestrial lidar scans (TLS) collected as part of the SnowEx 2023 campaign. Data were collected at the Bonanza Creek Experimental Forest near Fairbanks, Alaska in October 2022 (snow-off conditions) and March 2023 (snow-on conditions). The DTMs are provided as Geographic Tagged Image (GeoTIFF) files, where each file corresponds to a unique survey site. Unprocessed point cloud data from which these DTMs were derived are available as the <a href=\"https://doi.org/10.5067/OIBBFR49P0Q6\">SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw, Version 1 (SNEX23_BCEF_TLS_Raw) data set</a>",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2856186714-NSIDC_ECS.html",
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         "description": "This data set contains unprocessed point cloud data created from terrestrial lidar scans (TLS) collected during the SnowEx 2023 campaign from the Bonanza Creek Experimental Forest near Fairbanks, Alaska. Data were collected in October 2022 (snow-off) and March 2023 (snow-on). Digital terrain models (DTMs) derived from the raw point cloud data are available as the <a href=\"https://doi.org/10.5067/R466GRXNA61S\">SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans, Version 1 (SNEX23_BCEF_TLS) data set</a>",
         "license": "proprietary"
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@@ -164484,7 +168397,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215566728-NSIDC_ECS.html",
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         "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Upper Kuparuk/Toolik (UKT) site in northern Alaska, USA as part of the NASA SnowEx 2023 field campaign. Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include two-way travel (TWT) time, calculated snow depth, and calculated snow water equivalent (SWE). Raw GPR data are available as <a href=\"https://nsidc.org/data/SNEX23_CRREL_GPR_Raw/versions/1\">SnowEx23 CRREL Ground Penetrating Radar Raw, Version 1</a>.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3227266712-NSIDC_ECS.html",
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         "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Upper Kuparuk/Toolik (UKT) site in northern Alaska, USA as part of the NASA SnowEx 2023 field campaign. Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include georeferenced multichannel ground-penetrating radargrams stored within .nc files. PRocessed GPR data are available as <a href=\"https://nsidc.org/data/SNEX23_CRREL_GPR/versions/1\">SnowEx23 CRREL Ground Penetrating Radar, Version 1</a>.",
         "license": "proprietary"
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@@ -164510,7 +168423,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3184787416-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3184787416-NSIDC_ECS.html",
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         "description": "This data set contains the raw results of 1 GHz ground-penetrating radar surveys conducted as part of the NASA SnowEx23 field campaign in Alaska, USA. Surveys were conducted at three different field sites between 07 March 2023 and 16 March 2023: 1) Farmers Loop/Creamers Field, 2) the Bonanza Creek Experimental Forest, and 3) the Caribou/Poker Creek Research Watershed.",
         "license": "proprietary"
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@@ -164523,7 +168436,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2893208516-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2893208516-NSIDC_ECS.html",
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         "description": "This data set provides digital terrain models, snow depth, and canopy height, acquired by a scanning lidar system and derived from Point Cloud Digital Terrain Models (PCDTMs) from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). The raw data from which these data are derived are available as <a href=\"https://nsidc.org/data/SNEX23_Lidar_Raw\">SnowEx23 Airborne Lidar Scans Raw, Version 1</a>.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2893835306-NSIDC_ECS.html",
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         "description": "This data set provides raw lidar data from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). Processed data, including digital terrain models, snow depth, and canopy height derived from Point Cloud Digital Terrain Models (PCDTMs) are available as <a href=\"https://nsidc.org/data/SNEX23_Lidar\">SnowEx23 Airborne Lidar-Derived 0.25M Snow Depth and Canopy Height, Version 1</a>.",
         "license": "proprietary"
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjEgdGltZSBzZXJpZXMgc25vdyBwaXRzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIxX1RTX1NQXCIsXCIxXCIsMzA0Njk4NzYwNiwxNl0iLCJ1bW0iOiJbXCJzbm93ZXgyMSB0aW1lIHNlcmllcyBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjFfVFNfU1BcIixcIjFcIiwzMDQ2OTg3NjA2LDE2XSJ9/SNEX23_MAR22_SD_1",
         "description": "The data set contains snow depth measurements from two regions of Alaska, USA collected during the March 2022 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and a coastal tundra site in the North Slope region (Arctic coastal plain). Snow depth measurements collected from the study sampling sites during the subsequent field season are available as <a href=\"https://nsidc.org/data/snex23_mar23_sd/versions/1\">SnowEx23 Mar23 IOP Snow Depth Measurements, Version 1</a>.",
         "license": "proprietary"
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@@ -164562,7 +168475,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3172387010-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3172387010-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjEgdGltZSBzZXJpZXMgc25vdyBwaXRzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIxX1RTX1NQXCIsXCIxXCIsMzA0Njk4NzYwNiwxNl0iLCJ1bW0iOiJbXCJzbm93ZXgyMSB0aW1lIHNlcmllcyBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjFfVFNfU1BcIixcIjFcIiwzMDQ2OTg3NjA2LDE2XSJ9/SNEX23_MAR23_SD_1",
         "description": "The data set contains snow depth measurements from five study sites in Alaska, USA; data were collected during the March 2023 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and two coastal tundra sites in the North Slope region (Arctic coastal plain and Upper Kuparuk Toolik). Snow depth measurements collected from the study sampling sites during the previous field season are available as <a href=\"https://nsidc.org/data/snex23_mar22_sd/versions/1\">SnowEx23 Mar22 IOP Snow Depth Measurements, Version 1</a>.",
         "license": "proprietary"
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@@ -164575,7 +168488,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2735033831-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2735033831-NSIDC_ECS.html",
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         "description": "This data set contains vertical profiles of snow reflectance and specific surface area (SSA) from the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer\u2019s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik), collected as part of the NASA SnowEx 2023 field campaign in March 2023. Reflectance was measured in snow pits using three different integrating sphere laser devices: an A2 Photonic Sensor IceCube (1310 nm), an IRIS (InfraRed Integrating Sphere) system (1310 nm), and an InfraSnow SSA sensor (945 nm). Measured reflectance values were converted to SSA during data processing. It is recommended that data users work with either the IceCube or IRIS data, as the InfraSnow data was collected primarily for testing of the instrument\u2019s capabilities. Snow-off SSA data from these same study sites are available as <a href=\"https://nsidc.org/data/snex23_ssa_so/versions/1\">SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data, Version 1</a>.",
         "license": "proprietary"
     },
@@ -164588,7 +168501,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2881748646-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2881748646-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjEgdGltZSBzZXJpZXMgc25vdyBwaXRzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIxX1RTX1NQXCIsXCIxXCIsMzA0Njk4NzYwNiwxNl0iLCJ1bW0iOiJbXCJzbm93ZXgyMSB0aW1lIHNlcmllcyBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjFfVFNfU1BcIixcIjFcIiwzMDQ2OTg3NjA2LDE2XSJ9/SNEX23_SSA_SO_1",
         "description": "This data set reports vertical profiles of snow reflectance and specific surface area (SSA) from two study sites in Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer\u2019s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik). Reflectance was measured in situ using an A2 Photonic Sensor IceCube (1310 nm). Measured reflectance values were converted to SSA during data processing following the methods of Gallet et al., (2009). Snow-on SSA data from these same study sites were collected in March 2023 and are available as <a href=\"https://nsidc.org/data/snex23_ssa/versions/1\">SnowEx23 Laser Snow Microstructure Specific Surface Area Data, Version 1</a>.",
         "license": "proprietary"
     },
@@ -164601,7 +168514,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3041011983-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3041011983-NSIDC_ECS.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjEgdGltZSBzZXJpZXMgc25vdyBwaXRzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIxX1RTX1NQXCIsXCIxXCIsMzA0Njk4NzYwNiwxNl0iLCJ1bW0iOiJbXCJzbm93ZXgyMSB0aW1lIHNlcmllcyBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjFfVFNfU1BcIixcIjFcIiwzMDQ2OTg3NjA2LDE2XSJ9/SNEX23_SWE_1",
         "description": "This data set presents snow depth, snow water equivalent (SWE), and bulk snow density data collected during the NASA SnowEx 2023 field campaign between March 13-16 2023. Samples were collected using an Adirondack snow sampler (SWE tube) from two study sites: Upper Kuparuk and Toolik (UKT), an arctic tundra environment in Northern Alaska, and Farmers Loop Creamers Field (FLCF), a boreal forest near Fairbanks, Alaska.",
         "license": "proprietary"
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@@ -164614,7 +168527,7 @@
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         "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Arctic Coastal Plain (ACP) site and the Upper Kuparuk/Toolik (UKT) site in northern Alaska during the SnowEx23 field campaign. Data include two-way travel time, derived snow depth, and derived snow water equivalent. Data were collected between 8 - 14 March 2023.",
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         "license": "proprietary"
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         "description": "This dataset contains raw meteorological data collected as part of the ongoing the NASA SnowEx mission, from five meteorological stations installed between 2016-2017 in Grand Mesa, Colorado, to provide supporting data for SnowEx field campaigns and forcing data for modeling",
         "license": "proprietary"
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         "description": "Average percent coverage and standard deviation of each canopy stratum from subplots at each aspen site during the SNF study in the Superior National Forest, Minnesota",
         "license": "proprietary"
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         "description": "Dimension analysis (diameter at breast high, tree height, depth of crown), estimated leaf area, and total aboveground biomass for sacrificed spruce and aspens in Superior National Forest, MN",
         "license": "proprietary"
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         "description": "Biophysical parameters (DBH, NPP, biomass, bark area index, LAI, subcanopy LAI) by study site for Aspen and Spruce in the Superior National Forest, MN (SNF)",
         "license": "proprietary"
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         "description": "SNF study site count of the number of trees over 2 meters, broken down by species code; see also SNF Plant Species Codes",
         "license": "proprietary"
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         "description": "Site characterization parameters (canopy density, litter components, soil characterization: color, moisture, components) for selected sites within the Superior National Forest, MN during 1988-89",
         "license": "proprietary"
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@@ -164731,7 +168644,7 @@
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         "description": "SNF study location measurements of percent ground coverage provided by each understory species; percentages are averages of five 2-meter-diameter subsamples in each site (presented as list format)",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2515912673-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515912673-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of soil organic carbon (SOC) in tidal wetlands for the northeastern United States. The data cover the period 1998-2018. Northeastern U.S. tidal wetlands and bordering areas were harmonized from government agencies [U.S. Department of Agriculture - Natural Resources Conservation Service (USDA-NRCS), National Cooperative Soil Survey (NCSS), USDA-NRCS - Rapid Carbon Assessment (RaCA), U.S. Environmental Protection Agency - National Wetland Condition and Assessment (EPA-NWCA)] and published studies. Point data for carbon stocks (in kg m-2) at four soil depths (0-5, 0-30, 0-100, and 0-200 cm) are included. SOC for the four depths was predicted for eight regional zones using regression models driven by environmental covariates. Two methods were used to estimate parameters for these models, a Random Forest (RF) Ranger method and a Quantile Regression Forest (QRF) model. The distribution of SOC was predicted for tidal wetland cover types mapped by Correll et al. (2019). Predictions and uncertainties are available at a 3 m resolution.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517662316-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517662316-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of total organic soil carbon (SOC), pyrogenic (PyC), particulate (POC), and other organic soil carbon (OOC) fractions in 473 surface layer soil samples collected from stratified-sampling locations in Colorado, Kansas, New Mexico, and Wyoming, USA. Terrain, climate, soil, fire, and land cover data used to predict and map SOC, PyC, POC, and OOC at 1 km resolution throughout the study region are also included. The estimates were derived using a best random forest regression model and cover the period 2007-05-01 to 2010-10-01.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864144-ORNL_CLOUD.html",
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         "description": "This data set provides measurements of soil carbon dioxide (CO2) emission rates, soil moisture, relative humidity (RH), temperature, and litterfall from six types of tree plantations at the La Selva Biological Station, Costa Rica. Soil CO2 flux and related measurements were made 1) hourly during 2-day diel field campaigns and 2) as single daytime measurements during multiple survey campaigns, over the period 2004-2010. All measurements were made at the same sites to compare hourly, monthly, and inter-annual variations. Most of the emissions data represent a single soil CO2 flux measurement, with three to five measurements per plot. Litterfall was collected monthly from 2003-2009 and was sorted into fractions prior to drying.",
         "license": "proprietary"
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         "description": "<p>Each Level-1A (L1A) granule incorporates all radiometer data downlinked from the Soil Moisture Active Passive (SMAP) spacecraft for one specific half orbit. The data are scaled instrument counts of the following:</p> <ul>   <li>The first four raw moments of the fullband channel for both vertical and horizontal polarizations</li>   <li>The complex cross-correlations of the fullband channel</li>   <li>The 16 subband channels for both vertical and horizontal polarizations</li> </ul>",
         "license": "proprietary"
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         "description": "This Level-1B (L1B) product provides calibrated estimates of time-ordered geolocated brightness temperatures measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band brightness temperatures are referenced to the Earth's surface with undesired and erroneous radiometric sources removed.",
         "license": "proprietary"
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         "description": "This Level-1B (L1B) product provides calibrated estimates of time-ordered geolocated brightness temperatures measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band brightness temperatures are referenced to the Earth's surface with undesired and erroneous radiometric sources removed.",
         "license": "proprietary"
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@@ -166772,7 +170685,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2257958430-NSIDC_ECS.html",
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         "description": "This Near Real-Time (NRT) data set corresponds to the standard SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures (SPL1BTB) product. The data provide calibrated estimates of time-ordered geolocated brightness temperature data measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4\u00b0S to 86.4\u00b0N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product, SPL1BTB (<a href=\"https://doi.org/10.5067/ZHHBN1KQLI20\">https://doi.org/10.5067/ZHHBN1KQLI20</a>).",
         "license": "proprietary"
     },
@@ -166902,7 +170815,7 @@
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         "license": "proprietary"
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1931657626-NSIDC_ECS.html",
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         "description": "This enhanced Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract enhanced information from SMAP antenna temperatures before they are converted to brightness temperatures. The resulting brightness temperatures are posted to an Earth-fixed, 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal.",
         "license": "proprietary"
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         "description": "This enhanced Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract enhanced information from SMAP antenna temperatures before they are converted to brightness temperatures. The resulting brightness temperatures are posted to an Earth-fixed, 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.html",
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         "description": "This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes. SMAP L-band backscatter and brightness temperatures are used to derive soil moisture data, which are then resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1931663473-NSIDC_ECS.html",
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         "description": "This Level-2 (L2) soil moisture product provides estimates of land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes and the Sentinel-1A and -1B radar. SMAP L-band brightness temperatures and Copernicus Sentinel-1 C-band backscatter coefficients are used to derive soil moisture data, which are then resampled to an Earth-fixed, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). While the 3 km data product has undergone validation, the 1 km product has not and should be used with caution.",
         "license": "proprietary"
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         "description": "This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) active radar during 6:00 a.m. descending half-orbit passes, as well as ancillary data such as surface temperature and vegetation water content. Input backscatter data used to derive soil moisture are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
         "license": "proprietary"
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@@ -167110,7 +171023,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2136471610-NSIDC_ECS.html",
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         "description": "This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data.",
         "license": "proprietary"
     },
@@ -167123,7 +171036,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.html",
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         "description": "This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data.",
         "license": "proprietary"
     },
@@ -167136,7 +171049,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2136471686-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2136471686-NSIDC_ECS.html",
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         "description": "This enhanced Level-2 (L2) product contains calibrated, geolocated, brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection [available as the SPl1CTB_E product]. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.  These 9-km brightness temperatures are then used to retrieve surface soil moisture posted on the 9-km grid [this SPL2SMP_E product].",
         "license": "proprietary"
     },
@@ -167149,7 +171062,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463773-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463773-NSIDC_ECS.html",
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         "description": "This enhanced Level-2 (L2) product contains calibrated, geolocated, brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection [available as the SPl1CTB_E product]. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. These 9-km brightness temperatures are then used to retrieve surface soil moisture posted on the 9-km grid [this SPL2SMP_E product].",
         "license": "proprietary"
     },
@@ -167162,7 +171075,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.html",
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         "description": "This Near Real-Time (NRT) data set corresponds to the standard SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture (SPL2SMP) product. The data provide estimates of global land surface conditions measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4\u00b0S to 86.4\u00b0N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC.  Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product SPL2SMP (<a href=\"https://doi.org/10.5067/LPJ8F0TAK6E0\">https://doi.org/10.5067/LPJ8F0TAK6E0</a>).",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303849-NSIDC_ECS.html",
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         "description": "This Level-3 (L3) product provides a daily composite of Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radar from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band backscatter data are used to derive freeze/thaw data, which are then resampled to an Earth-fixed, Northern Hemisphere azimuthal 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
         "license": "proprietary"
     },
@@ -167188,7 +171101,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1931660632-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1931660632-NSIDC_ECS.html",
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         "description": "This Level-3 (L3) product provides a daily composite of landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are used to derive freeze/thaw state and transition data, which are then resampled to both an Earth-fixed, Northern Hemisphere azimuthal 36 km Equal-Area Scalable Earth Grid (EASE-Grid 2.0), and to an Earth-fixed global 36 km EASE-Grid 2.0.",
         "license": "proprietary"
     },
@@ -167201,7 +171114,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463838-NSIDC_ECS.html",
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         "description": "This Level-3 (L3) product provides a daily composite of landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are used to derive freeze/thaw state and transition data, which are then resampled to both an Earth-fixed, Northern Hemisphere azimuthal 36 km Equal-Area Scalable Earth Grid (EASE-Grid 2.0), and to an Earth-fixed global 36 km EASE-Grid 2.0.",
         "license": "proprietary"
     },
@@ -167214,7 +171127,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1931660840-NSIDC_ECS.html",
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         "description": "This enhanced Level-3 (L3) product provides a daily composite of global and Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP enhanced Level-1C brightness temperatures (SPL1CTB_E). Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures. The data are then posted to two 9 km Earth-fixed, Equal-Area Scalable Earth Grids, Version 2.0 (EASE-Grid 2.0): a global cylindrical and a Northern Hemisphere azimuthal.",
         "license": "proprietary"
     },
@@ -167227,7 +171140,7 @@
         "bbox": "-180, -85.044, 180, 85.044",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.html",
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         "description": "This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radar as well as a variety of ancillary data sources. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
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         "description": "This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
         "license": "proprietary"
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         "description": "This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
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         "description": "This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.",
         "license": "proprietary"
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         "description": "This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.",
         "license": "proprietary"
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         "description": "The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.",
         "license": "proprietary"
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@@ -167331,7 +171244,7 @@
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         "description": "SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.",
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         "license": "proprietary"
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         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2862443109-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862443109-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/STAQS_Drone_Data_1",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3094428881-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/STAQS_Ground_Data_1",
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862433153-LARC_CLOUD.html",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862446411-LARC_CLOUD.html",
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2862454629-LARC_CLOUD.html",
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         "license": "proprietary"
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         "description": "This data set consists of land cover classification data derived from satellite imagery and of data obtained in the field as part of the Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08).",
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         "description": "This data set contains brightness temperatures obtained by the Passive Active L-band System (PALS) microwave aircraft radiometer instrument as part of the Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08).",
         "license": "proprietary"
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         "description": "This data set includes several parameters that were obtained from field surveys as part of the Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08).",
         "license": "proprietary"
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         "description": "As part of the SMAPVEX19-22 campaign, an L-band radiometer was deployed on top of a tower at Harvard Forest,Massachusetts, looking down at a stand of red oak forest. The radiometer collected data in V-polarization from late April to mid October 2019. Over 4 days in early July 2019, the water potential and L-band complex dielectric constant of canopy leaves were measured at various times of day. Other instruments were installed within the radiometer's field of view to measure soil moisture and temperature, air temperature, tree xylem apparent dielectric permittivity at 70 MHz, tree xylem water potential, and canopy wetness. The goal of this experiment was to study the sensitivity of L-band vegetation optical depth (VOD) to changing vegetation water potential over a growing season.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2697180532-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2697180532-NSIDC_ECS.html",
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         "description": "These digital elevation model (DEM) data consist of ground surface elevations derived from source lidar measurements collected in April and August 2022 in the vicinity of Millbrook, NY during the SMAPVEX19-22 campaign. This location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. The two acquisition periods occurred to characterize differences during \"leaf-off\" and \"leaf-on\" conditions.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2709181275-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2709181275-NSIDC_ECS.html",
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         "description": "These digital surface model (DSM) data consist of surface elevations derived from source lidar measurements collected in August 2022 in the vicinity of Millbrook, NY during the SMAPVEX19-22 campaign. The location was selected due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. The August collection period was selected to characterize \u2018leaf-on\u2019 conditions. DSM data represents the highest elevation of features on the Earth\u2019s surface, which may include bare-earth, vegetation, and human-made objects.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2747348757-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2747348757-NSIDC_ECS.html",
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         "description": "These lidar measurements were collected in April and August 2022 in the vicinity of Millbrook, NY during the SMAPVEX19-22 campaign. This location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. The two acquisition periods were selected to characterize differences during \"leaf-off\" and \"leaf-on\" conditions.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2654470154-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2654470154-NSIDC_ECS.html",
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         "description": "These data consist of soil moisture sensor, soil temperature and air temperature measurements recorded by 25 temporary stations in the Millbrook (MB) experiment location during SMAPVEX19-22. The stations were spread out over the experiment domain of about 30 by 40 km located around Millbrook, NY. The stations were installed in May 2019 and are to continue operation until 2022. Note that the product is named SMAPVEX19-22 because, although the current coverage is through 2021, it is projected to include 2022 data in the future.",
         "license": "proprietary"
     },
@@ -170581,7 +174494,7 @@
         "bbox": "-20, 10, 40, 20",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756239079-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756239079-ORNL_CLOUD.html",
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         "description": "This data set provides an estimate of the spatial and temporal extent of surface water at 250-m resolution over nine years (2003-2011) for the African Sahel region (10-20 degrees N) using imagery from the Moderate-resolution Imaging Spectroradiometer (MODIS). Water bodies were identified by a spectral analysis of MODIS vegetation indices with the aim to improve existing regional to global mapping products. This data set can be used to enhance the understanding of Earth system processes, and to support global change studies, agricultural planning, and disease prevention. These data provide a gridded (250-m) estimate of the number of years (during 2003-2011) that a pixel was covered by water. The data are presented in a single netCDF (*.nc) file.",
         "license": "proprietary"
     },
@@ -170594,7 +174507,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3126460246-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3126460246-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of aboveground biomass (AGB) and salt marsh extent in the contiguous United States for 2020 and includes all coastal watersheds across the contiguous United States at 10-m resolution. Estimates were generated by XGBoost machine learning regression. Salt marsh extent was classified using an ensemble of XGBoost, random forests, and support vector machines, trained with salt marsh location identified with the National Wetland Inventory (NWI). The data are organized by Hydrologic Unit Code (HUC) 6-digit basin. Within each HUC, the spatial extent of salt marsh and its uncertainty were estimated by machine learning and input data from NWI maps, the National Elevation Dataset, along with Sentinel-1 and Sentinel-2 imagery. Estimates were compared to in situ biomass data from salt marshes in Georgia and Massachusetts. The data are provided in cloud-optimized GeoTIFF format.",
         "license": "proprietary"
     },
@@ -170633,7 +174546,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773240578-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773240578-ORNL_CLOUD.html",
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         "description": "This data set provides soil descriptions for forested areas in the BOREAS southern study area (SSA) in central Saskatchewan, Canada provided by Agriculture Canada. The data contain soil code, modifiers, extent, and soil names for the primary, secondary, and tertiary soil units within each polygon.",
         "license": "proprietary"
     },
@@ -171530,7 +175443,7 @@
         "bbox": "-18.2, 9.4, 42.31, 24.2",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2787710838-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2787710838-ORNL_CLOUD.html",
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         "description": "This dataset provides allometrically-estimated carbon stocks of 9,947,310,221 tree crowns derived from 50-cm resolution satellite images within the 0 to 1000 mm/year precipitation zone of Africa north of the equator and south of the Sahara Desert. These data are presented in GeoPackage (*.gpkg) format and are summarized in Cloud-Optimized GeoTIFF (COG) format. An interactive viewer application developed to display these carbon estimates at the individual tree level across the study area is available at: https://trees.pgc.umn.edu/app. The analysis utilized 326,523 Maxar multispectral satellite images collected between 2002 to 2021 for the early dry season months of November to March to identify tree crowns. Metadata from satellite image processing across the study area are presented in Shapefile (*.shp) format. Additionally, field measurements from destructive harvests used to derive allometry equations are contained in comma-separated values (*.csv) files. These data demonstrate a new tool for studying discrete semi-arid carbon stocks at the tree level with immediate applications provided by the viewer application. Uncertainty of carbon estimates are +/- 19.8%.",
         "license": "proprietary"
     },
@@ -171569,7 +175482,7 @@
         "bbox": "-168.54, 63.97, -159.19, 66.95",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969810-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969810-ORNL_CLOUD.html",
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         "description": "This data set provides two landcover and vegetation maps for the Seward Peninsula, Alaska. These maps were produced from existing maps, Landsat imagery, and color infrared aerial photography covering the period 1976-06-01 to 1999-09-01.",
         "license": "proprietary"
     },
@@ -171582,7 +175495,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162131297-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162131297-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ3Jvc3MgcHJpbWFyeSBwcm9kdWN0aW9uIG1hcHMgb2YgdGlkYWwgd2V0bGFuZHMgYWNyb3NzIGNvbnRlcm1pbm91cyB1c2EsIDIwMDAtMjAxOVwiLFwiT1JOTF9DTE9VRFwiLFwiVGlkYWxfV2V0bGFuZF9HUFBfQ09OVVNfMTc5MlwiLFwiMVwiLDIzODkxMTk0OTAsNl0iLCJ1bW0iOiJbXCJncm9zcyBwcmltYXJ5IHByb2R1Y3Rpb24gbWFwcyBvZiB0aWRhbCB3ZXRsYW5kcyBhY3Jvc3MgY29udGVybWlub3VzIHVzYSwgMjAwMC0yMDE5XCIsXCJPUk5MX0NMT1VEXCIsXCJUaWRhbF9XZXRsYW5kX0dQUF9DT05VU18xNzkyXCIsXCIxXCIsMjM4OTExOTQ5MCw2XSJ9/Shrub_Biomass_Toolik_Lake_AK_1573_1",
         "description": "This dataset contains estimates for aboveground shrub biomass and uncertainty at high spatial resolution (0.80-m) across three research areas near Toolik Lake, Alaska. The estimates for August of 2013 were generated and mapped using Random Forest modeling with input variables of optimized LiDAR-derived canopy volume and height, mean NDVI from 4-band RGB color and near-IR orthophotographs, and harvested biomass data. Uncertainty in the final shrub biomass maps was quantified by producing separate maps showing the coefficient of variation (CV) of the Random Forest map estimates. Shrub biomass was harvested at Toolik Lake in 2014 and used to optimize inputs and validate the final model and these biomass data are also provided.",
         "license": "proprietary"
     },
@@ -171660,7 +175573,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2767498872-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767498872-ORNL_CLOUD.html",
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         "description": "This data set provides mapped estimates of the stand age of young (less than 25 years old) larch forests across Siberia from 1989-2012 at 30-m resolution. The age estimates were derived from Landsat-based composites and tree cover for years 2000 and 2012 developed by the Global Forest Change (GFC) project and the stand-replacing fire mapping (SRFM) data set. This approach is based on the assumption that the relationship between the spectral signature of a burned or unburned forest stand acquired by Landsat ETM+ and TM sensors and stand age before and after the year 2000 is similar, thus allowing for training an algorithm on the data from the post-2000 era and applying the algorithm to infer stand age for the pre-2000 era. The output map combines the modeled forest disturbances before 2000 and direct observations of forest loss after 2000 to deliver a 24-year stand age distribution map.",
         "license": "proprietary"
     },
@@ -171725,7 +175638,7 @@
         "bbox": "-180, 51.6, -107.83, 72.41",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2223093928-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2223093928-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IG1vZGlzLWRlcml2ZWQgbWF4aW11bSBuZHZpLCBub3J0aGVybiBhbGFza2EgYW5kIHl1a29uIHRlcnJpdG9yeSBmb3IgMjAwMi0yMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBbGFza2FfWXVrb25fTkRWSV8xNjE0XCIsXCIxXCIsMjE2MjE0NTQ5Miw1XSIsInVtbSI6IltcImFib3ZlOiBtb2Rpcy1kZXJpdmVkIG1heGltdW0gbmR2aSwgbm9ydGhlcm4gYWxhc2thIGFuZCB5dWtvbiB0ZXJyaXRvcnkgZm9yIDIwMDItMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQWxhc2thX1l1a29uX05EVklfMTYxNFwiLFwiMVwiLDIxNjIxNDU0OTIsNV0ifQ%3D%3D/SnowMeltDuration_PMicrowave_1843_1.1",
         "description": "This dataset provides the annual period of snowpack melting (i.e., snow melt duration, SMD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. SMD is the number of days between the main melt onset date (MMOD) and the last day of seasonal snow cover when the melting of snow is complete. These dates were derived from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). This dataset documents variability in SMD across space and the 31-year temporal period. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies.",
         "license": "proprietary"
     },
@@ -171751,7 +175664,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170971586-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170971586-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic25mIGZvcmVzdCB1bmRlcnN0b3J5IGNvdmVyIGRhdGFcIixcIk9STkxfQ0xPVURcIixcIlNORl9VTkRfQ1ZSXzE4MVwiLFwiMVwiLDI4ODQ5ODI4NDgsMl0iLCJ1bW0iOiJbXCJzbmYgZm9yZXN0IHVuZGVyc3RvcnkgY292ZXIgZGF0YVwiLFwiT1JOTF9DTE9VRFwiLFwiU05GX1VORF9DVlJfMTgxXCIsXCIxXCIsMjg4NDk4Mjg0OCwyXSJ9/Snow_Depth_Data_Images_1656_1",
         "description": "This dataset includes data from late-March snow surveys and hourly digital camera images from two study areas within the Wrangell St Elias National Park, Alaska. These data comprise snow density, stratigraphy, and temperature profiles obtained by snow pits; and snow depth data obtained from transects between snow pits. Daily snow depths, adjacent to each pit, were derived from hourly camera images of snow stakes placed adjacent to each pit. These data were collected to constrain and validate a physically-based, spatially-distributed snow evolution model used to simulate snow conditions in Dall sheep habitat. The two study areas are both located within the Jacksina Park Unit (JPU). The first study area, surveyed in 2017, included the northern end of Jaeger Mesa and an area near Rambler mine in the North East of the JPU. The second study area, surveyed in 2018, was within the upper watershed of Pass Creek in the North of the JPU. The remote cameras operated from September 2016 to August 2017 on Jaeger Mesa/Rambler Mine and from September 2017 to July 2018 at Pass Creek.",
         "license": "proprietary"
     },
@@ -171764,7 +175677,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2772851281-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2772851281-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic25mIGZvcmVzdCB1bmRlcnN0b3J5IGNvdmVyIGRhdGFcIixcIk9STkxfQ0xPVURcIixcIlNORl9VTkRfQ1ZSXzE4MVwiLFwiMVwiLDI4ODQ5ODI4NDgsMl0iLCJ1bW0iOiJbXCJzbmYgZm9yZXN0IHVuZGVyc3RvcnkgY292ZXIgZGF0YVwiLFwiT1JOTF9DTE9VRFwiLFwiU05GX1VORF9DVlJfMTgxXCIsXCIxXCIsMjg4NDk4Mjg0OCwyXSJ9/Snow_Wildlife_Tracks_AK_WA_2188_1",
         "description": "This dataset contains three field seasons of snow-wildlife observations conducted at 707 sites from January 2021 to March 2023 in Washington and Alaska, spanning a broad range of snow conditions. Relatively fresh tracks (usually <24 h) of common large mammal predators (bobcats, coyotes, cougars, and wolves) and their ungulate prey (caribou, Dall sheep, moose, mule deer, and white-tailed deer) were investigated to determine how snow affects predator-prey interactions. The track sink depth and dimensions (width and length) of three consecutive footprints were measured from one individual. Age class was recorded for moose based either on visual confirmation of an individual creating snow tracks or based on track dimensions. The ability to differentiate age classes for smaller ungulates was more uncertain, so age classes for deer, caribou, or sheep were not specified. Animal gait was identified using a simple classification scheme. Data also include animal species, snow density, hardness, total ice, surface temperature, and vegetation type. To best capture snow hardness, surface penetrability and hand-hardness were measured throughout the snowpack. The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -171777,7 +175690,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764725108-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764725108-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic25mIGZvcmVzdCB1bmRlcnN0b3J5IGNvdmVyIGRhdGFcIixcIk9STkxfQ0xPVURcIixcIlNORl9VTkRfQ1ZSXzE4MVwiLFwiMVwiLDI4ODQ5ODI4NDgsMl0iLCJ1bW0iOiJbXCJzbmYgZm9yZXN0IHVuZGVyc3RvcnkgY292ZXIgZGF0YVwiLFwiT1JOTF9DTE9VRFwiLFwiU05GX1VORF9DVlJfMTgxXCIsXCIxXCIsMjg4NDk4Mjg0OCwyXSJ9/Snowmelt_timing_maps_V2_1712_2",
         "description": "This data set provides snowmelt timing maps (STMs), cloud interference maps, and a map with the count of calculated snowmelt timing values for North America. The STMs are based on the Moderate Resolution Imaging Spectroradiometer (MODIS) standard 8-day composite snow-cover product MOD10A2 collection 6 for the period 2001-01-01 to 2018-12-31. The STMs were created by conducting a time-series analysis of the MOD10A2 snow maps to identify the DOY of snowmelt on a per-pixel basis. Snowmelt timing (no-snow) was defined as a snow-free reading following two consecutive snow-present readings for a given 500-m pixel. The count of STM values is also reported, which represents the number of years on record in the STMs from 2001-2018.",
         "license": "proprietary"
     },
@@ -171803,7 +175716,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345796019-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345796019-ORNL_CLOUD.html",
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         "description": "This dataset provides global gridded estimates of annual soil respiration (Rs) and soil heterotrophic respiration (Rh) and associated uncertainties at 1 km resolution. Mean soil respiration was estimated using a quantile regression forest model utilizing data from the global Soil Respiration Database Version 5 (SRDB-V5) and covariates of mean annual temperature, seasonal precipitation, and vegetative cover. The SRDB holds results of field studies of soil respiration from around the globe. A total of 4,115 records from 1,036 studies were selected from SRDB-V5. SRDB-V5 features more soil respiration data published in Russian and Chinese scientific literature for better global spatio-temporal coverage and improved global climate-space representation. These soil respiration records were combined with global meteorological, land cover, and topographic data and then evaluated with variable selection using random forests. The standard deviation and coefficient of variation of Rs are included and were also derived from the same model. Global heterotrophic respiration was calculated from Rs estimates. The data are produced in part from SRDB-V5 inputs that cover the period 1961-2016.",
         "license": "proprietary"
     },
@@ -171816,7 +175729,7 @@
         "bbox": "-120.99, 31.74, -83.66, 42.3",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736724942-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736724942-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic29pbCBtYXRyaWMgcG90ZW50aWFsLCBkaWVsZWN0cmljLCBhbmQgcGh5c2ljYWwgcHJvcGVydGllcywgYXJjdGljIGFsYXNrYSwgMjAxOFwiLFwiT1JOTF9DTE9VRFwiLFwiQXJjdGljX1NvaWxfUHJvcGVydGllc18yMTQ5XCIsXCIxXCIsMjczMjU5Mjc2NSwzXSIsInVtbSI6IltcInNvaWwgbWF0cmljIHBvdGVudGlhbCwgZGllbGVjdHJpYywgYW5kIHBoeXNpY2FsIHByb3BlcnRpZXMsIGFyY3RpYyBhbGFza2EsIDIwMThcIixcIk9STkxfQ0xPVURcIixcIkFyY3RpY19Tb2lsX1Byb3BlcnRpZXNfMjE0OVwiLFwiMVwiLDI3MzI1OTI3NjUsM10ifQ%3D%3D/SoilSCAPE_1339_1",
         "description": "This data set contains in-situ soil moisture profile and soil temperature data collected at 20-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites in four states (California, Arizona, Oklahoma, and Michigan) in the United States. SoilSCAPE used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data at up to 12 sites over varying durations since August 2011. At its maximum, the network consisted of over 200 wireless sensor installations (nodes), with a range of 6 to 27 nodes per site. The soil moisture sensors (EC-5 and 5-TM from Decagon Devices) were installed at three to four depths, nominally at 5, 20, and 50 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. Temperature sensors were installed at 5 cm depth at six of the sites. Data collection started in August 2011 and continues at eight sites through the present. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional (airborne, e.g. NASA's Airborne Microwave Observation of Subcanopy and Subsurface Mission - AirMOSS) and national (spaceborne, e.g. NASA's Soil Moisture Active Passive - SMAP) scales.",
         "license": "proprietary"
     },
@@ -171829,7 +175742,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736725173-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736725173-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic29pbCBtYXRyaWMgcG90ZW50aWFsLCBkaWVsZWN0cmljLCBhbmQgcGh5c2ljYWwgcHJvcGVydGllcywgYXJjdGljIGFsYXNrYSwgMjAxOFwiLFwiT1JOTF9DTE9VRFwiLFwiQXJjdGljX1NvaWxfUHJvcGVydGllc18yMTQ5XCIsXCIxXCIsMjczMjU5Mjc2NSwzXSIsInVtbSI6IltcInNvaWwgbWF0cmljIHBvdGVudGlhbCwgZGllbGVjdHJpYywgYW5kIHBoeXNpY2FsIHByb3BlcnRpZXMsIGFyY3RpYyBhbGFza2EsIDIwMThcIixcIk9STkxfQ0xPVURcIixcIkFyY3RpY19Tb2lsX1Byb3BlcnRpZXNfMjE0OVwiLFwiMVwiLDI3MzI1OTI3NjUsM10ifQ%3D%3D/SoilSCAPE_V2_2049_2",
         "description": "This dataset contains in-situ soil moisture profile and soil temperature data collected at 30-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites since 2021 in the United States and New Zealand. The SoilSCAPE network has used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data over varying durations since 2011. Since 2021, the SoilSCAPE has upgraded the two previously active sites in Arizona and added several new sites in the United States and New Zealand. These new sites typically use the METER Teros-12 soil moisture sensor. At its maximum, the new network consisted of 57 wireless sensor installations (nodes), with a range of 6 to 8 nodes per site. Each SoilSCAPE site contains multiple wireless end-devices (EDs). Each ED supports up to five soil moisture probes typically installed at 5, 10, 20, and 30 cm below the surface. Sites in Arizona have soil moisture probes installed at up to 75 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional and national (e.g. NASA's Cyclone Global Navigation Satellite System - CYGNSS and Soil Moisture Active Passive - SMAP) scales. The data are provided in NetCDF format.",
         "license": "proprietary"
     },
@@ -171855,7 +175768,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143812328-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143812328-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJpdmVyIGRpc2NoYXJnZSwgMTgwNy0xOTkxLCB2W2Vyc2lvbl0uIDEuMSAocml2ZGlzKVwiLFwiT1JOTF9DTE9VRFwiLFwicml2ZGlzXzE5OVwiLFwiMVwiLDI3NTYyMzA3ODUsNF0iLCJ1bW0iOiJbXCJnbG9iYWwgcml2ZXIgZGlzY2hhcmdlLCAxODA3LTE5OTEsIHZbZXJzaW9uXS4gMS4xIChyaXZkaXMpXCIsXCJPUk5MX0NMT1VEXCIsXCJyaXZkaXNfMTk5XCIsXCIxXCIsMjc1NjIzMDc4NSw0XSJ9/Soil_Carbon_Flux_Maps_1683_1",
         "description": "This dataset provides gridded estimates of soil CO2 flux (g C m-2 d-1) for the winter non-growing season (NGS) across pan-Arctic and Boreal permafrost regions (>49 Deg N), at 25 km spatial resolution. The data are the daily average flux over a monthly period for two climate periods: the baseline climate period represents 2003-2018 and the future climate scenarios period represents 2018-2100 under Representative Concentration Pathways (RCP) 4.5 and 8.5. The data were produced by applying a Boosted Regression Tree machine learning approach to create gridded estimates of emissions based on in situ observations of NGS fluxes provided in a related dataset. The resulting monthly average flux data records can be used to calculate annual NGS soil CO2 flux budgets from 2003-2100.",
         "license": "proprietary"
     },
@@ -171868,7 +175781,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2633820284-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2633820284-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ3Jvc3MgcHJpbWFyeSBwcm9kdWN0aW9uIG1hcHMgb2YgdGlkYWwgd2V0bGFuZHMgYWNyb3NzIGNvbnRlcm1pbm91cyB1c2EsIDIwMDAtMjAxOVwiLFwiT1JOTF9DTE9VRFwiLFwiVGlkYWxfV2V0bGFuZF9HUFBfQ09OVVNfMTc5MlwiLFwiMVwiLDIzODkxMTk0OTAsNl0iLCJ1bW0iOiJbXCJncm9zcyBwcmltYXJ5IHByb2R1Y3Rpb24gbWFwcyBvZiB0aWRhbCB3ZXRsYW5kcyBhY3Jvc3MgY29udGVybWlub3VzIHVzYSwgMjAwMC0yMDE5XCIsXCJPUk5MX0NMT1VEXCIsXCJUaWRhbF9XZXRsYW5kX0dQUF9DT05VU18xNzkyXCIsXCIxXCIsMjM4OTExOTQ5MCw2XSJ9/Soil_Moisture_Alaska_Alberta_2123_1",
         "description": "This dataset includes hourly in-situ soil moisture measurements from data loggers in predominantly organic soils (very low bulk density) at two locations: 1) along the Sag River in Alaska, U.S., and 2) near Red Earth Creek in Alberta, Canada. The dataset also provides soil moisture probe periods, temperature probe readings, as well as calibration coefficients and soil profile measurements used to create per probe calibrations for derived volumetric moisture content. The Campbell Scientific CR200 data loggers used CS625 water content reflectometers and temperature probe 109. Further details to the derivation of the calibrations are provided in a supplementary document. The purpose of the dataset is to provide field measurements that can be used for calibration/validation for satellite-based soil moisture retrieval algorithms. With some interruptions, the dataset exists from July 2017 to July 2021. The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -171894,7 +175807,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401688-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401688-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/Soil_Temp_Moisture_Alaska_1869_1",
         "description": "This dataset provides soil temperature and volumetric water content (VWC) measurements at 15 cm depth collected at 12 selected boreal and tundra sites located across Alaska. Each site is equipped with a HOBO MicroStation Data Logger that hosts two soil temperature sensors (HOBO S-TMB-M006 Temperature Smart Sensor), and two soil moisture sensors (HOBO S-SMD-M005 10HS Soil Moisture Smart Sensor). Each sensor was installed horizontally at a depth of 15 cm within the soil profile. Samples of soil from seven sites were taken to a laboratory for determination of site-specific soil moisture sensor calibration curves to correct raw measurements. Data were nominally recorded at an hourly frequency and downloaded from the sites at least annually for the period 2016-08-11 to 2023-09-02, but data coverage varies by site. These measurements were collected at the same sites as previously archived CO2 efflux and thaw depth data. The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -171907,7 +175820,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402511-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402511-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIiwidW1tIjoiW1wiYWJvdmU6IHNlYXNvbmFsIGRpc3NvbHZlZCBnYXNlcyBhbmQgaXNvdG9wZXMgaW4gYXJjdGljIGFsYXNrYSByaXZlcnNcIixcIk9STkxfQ0xPVURcIixcIkRpc3NvbHZlZF9HYXNlc19BbGFza2FfUml2ZXJzXzIzNjBcIixcIjFcIiwzMjM0NzQ0MDA2LDVdIn0%3D/Soil_Temperature_Profiles_AK_1767_1",
         "description": "This dataset includes soil temperature profile measurements taken at 16 monitoring sites in Alaska, USA, and at one site in Yukon, Canada. The six sites are collocated with seismic stations of the USArray program. The measurement dates and depths vary per site as does measurement frequency (hourly or every 6 hours). Measurements were made from the soil surface to a maximum depth of 1.5 m. Measurements were made from 2016-2018 at two sites, 2017-2019 at four sites, and 2018-2019 at 11 sites using temperature sensors attached to HOBO data loggers. These measurement stations complement existing temperature monitoring networks allowing for better characterization of ground temperatures and permafrost conditions across Alaska.",
         "license": "proprietary"
     },
@@ -171920,7 +175833,7 @@
         "bbox": "-123.54, 38.11, -122.34, 38.85",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021440-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389021440-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiY21zOiBob3VybHkgY2FyYm9uIGRpb3hpZGUgZXN0aW1hdGVkIHVzaW5nIHRoZSB3cmYgbW9kZWwsIG5vcnRoIGFtZXJpY2EsIDIwMTBcIixcIk9STkxfQ0xPVURcIixcIkNNU19XUkZfTW9kZWxfUHJvZHVjdHNfMTMzOFwiLFwiMVwiLDIzOTA0MDgyNzMsN10iLCJ1bW0iOiJbXCJjbXM6IGhvdXJseSBjYXJib24gZGlveGlkZSBlc3RpbWF0ZWQgdXNpbmcgdGhlIHdyZiBtb2RlbCwgbm9ydGggYW1lcmljYSwgMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiQ01TX1dSRl9Nb2RlbF9Qcm9kdWN0c18xMzM4XCIsXCIxXCIsMjM5MDQwODI3Myw3XSJ9/Sonoma_County_Forest_AGB_1764_1",
         "description": "This data set provides estimates of above-ground woody biomass and uncertainty at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013. Biomass estimates, megagrams of biomass per hectare (Mg/ha), were generated using a combination of airborne LiDAR data and field plot measurements with a parametric modeling approach. The relationship between field estimated and airborne LiDAR estimated aboveground biomass density is represented as a parametric model that predicts biomass as a function of canopy cover and 50th percentile and 90th percentile LiDAR heights at a 30-m resolution. To estimate uncertainty, the biomass model was re-fit 1,000 times through a sampling of the variance-covariance matrix of the fitted parametric model. This produced 1,000 estimates of biomass per pixel. The 5th and 95th percentiles, and the standard deviation of these pixel biomass estimates, were calculated.",
         "license": "proprietary"
     },
@@ -172717,6 +176630,32 @@
         "description": "!!!Temporary notice posted Sept. 27th, 2024!!! These data are in the process of being ingested and not all files are available yet. The data were made public early to allow assessment by early science users. Accordingly, not all data set resources may be available yet. Please check over the next 2-3 weeks for finalization of this data set and PO.DAAC's release announcement. <br><br> This dataset includes satellite-based observations of calibrated, geo-located antenna temperature and brightness temperatures, along with the sensor telemetry used to derive those values. Brightness temperatures are derived from the microwave band frequencies 87, 164, 174, 178 and 181 GHz. This product is best suited for a cal/val user or sensor expert. These level 1c measurements make up the temperature sensor data record (TSDR) from the TEMPEST (Temporal Experiment for Storms and Tropical Systems) sensor aboard the international space station (ISS), starting in January 2022 forward-streaming to PO.DAAC till the planned mission end in December 2024. TEMPEST swath width is 1400 kilometers and resolution at nadir is 25 km for the 87 GHz channel and 13 km for the 180 GHz channels. Data files in HDF5 format are available at roughly hourly frequency (the ISS orbit period is ~90 minutes), although note that the coverage shown in the thumbnail is for a full day. Files include calibration and flag data in addition to brightness temperatures. Version 10.0 is the first public release, and is named as such to be consistent with the internal version numbering of the project team prior to release. <br><br> The TEMPEST instrument is a microwave radiometer deployed as part of the Space Test Program - Houston 8 (STP-H8) technology demonstration mission, with the primary objective of tropical cyclone intensity tracking. It operates nominally on-orbit aboard the ISS and data are non-sun-synchronous. A successful mission will demonstrate a lower-cost, lighter-weight sensor architecture for providing microwave data. TEMPEST was provided by the Jet Propulsion Laboratory and flown by the United States Space Force, Space Systems Command, Development Corps for Innovation and Prototyping.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_CLDO4_L2_V01",
+        "title": "TEMPO cloud pressure and fraction (O2-O2 dimer) V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724037909-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724037909-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_CLDO4_L2_V01",
+        "description": "O2-O2 cloud Level 2 files provide cloud information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), scene albedo, scene pressure, ancillary data used in calculation, and processing quality flags. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors as a function of geometry, surface albedo, surface pressure and cloud pressure. Please refer to the ATBD for details.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_CLDO4_L2_V02",
+        "title": "TEMPO cloud pressure and fraction (O2-O2 dimer) V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848626-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848626-LARC_CLOUD.html",
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+        "description": "O2-O2 cloud Level 2 files provide cloud information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), scene albedo, scene pressure, ancillary data used in calculation, and processing quality flags. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors as a function of geometry, surface albedo, surface pressure and cloud pressure. Please refer to the ATBD for details.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_CLDO4_L2_V03",
         "title": "TEMPO cloud pressure and fraction (O2-O2 dimer) V03 (BETA)",
@@ -172726,10 +176665,36 @@
         "bbox": "-170, 10, -10, 80",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930760329-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930760329-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_CLDO4_L2_V03",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_CLDO4_L2_V03",
         "description": "O2-O2 cloud Level 2 files provide cloud information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), ancillary data, processing quality flags, etc. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors, GEOS-CF forecast meteorology, and GLER surface albedo.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_CLDO4_L3_V01",
+        "title": "TEMPO gridded cloud fraction and pressure (O2-O2 dimer) V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724035076-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724035076-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDO4_L3_V01",
+        "description": "O2-O2 cloud Level 3 files provide cloud information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on effective cloud fraction, cloud optical centroid pressure, cloud radiance fraction, and ancillary data used in the calculation. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_CLDO4_L3_V02",
+        "title": "TEMPO gridded cloud fraction and pressure (O2-O2 dimer) V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849693-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849693-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDO4_L3_V02",
+        "description": "O2-O2 cloud Level 3 files provide cloud information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on effective cloud fraction, cloud optical centroid pressure, cloud radiance fraction, and ancillary data used in the calculation. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_CLDO4_L3_V03",
         "title": "TEMPO gridded cloud fraction and pressure (O2-O2 dimer) V03 (BETA)",
@@ -172739,10 +176704,36 @@
         "bbox": "-170, 10, -10, 80",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930727817-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930727817-LARC_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDO4_L3_V03",
         "description": "O2-O2 cloud Level 3 files provide cloud information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on effective cloud fraction, cloud optical centroid pressure, and ancillary data. The re-gridding algorithm uses an area-weighted approach.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_CLDRR_L3_V01",
+        "title": "TEMPO gridded cloud fraction and pressure (Raman scattering)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724035667-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724035667-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_CLDRR_L3_V01",
+        "description": "Since these are test data, we do not have an abstract yet",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_DRK_L1_V01",
+        "title": "TEMPO dark exposure V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-06-06",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724057022-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724057022-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_DRK_L1_V01",
+        "description": "Level 1 dark files provide the processed dark currents, corresponding to either solar irradiance measurements or radiance measurements. Each file includes the measured dark currents for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on dark current rates of all frames and their average for the UV and visible bands, pixel quality flags and other ancillary information. The product is produced using the image processing of L0-1b processor. Please refer to the ATBD for details.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_DRK_L1_V02",
         "title": "TEMPO dark exposure V02 (BETA)",
@@ -172752,7 +176743,7 @@
         "bbox": "-170, 10, -10, 80",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842836142-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842836142-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_DRK_L1_V02",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_DRK_L1_V02",
         "description": "Level 1 dark files provide the processed dark currents, corresponding to either solar irradiance measurements or radiance measurements. Each file includes the measured dark currents for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on dark current rates of all frames and their average for the UV and visible bands, pixel quality flags and other ancillary information. The product is produced using the image processing of L0-1b processor. Please refer to the ATBD for details.  These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters.  Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status.  The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov.",
         "license": "proprietary"
     },
@@ -172765,10 +176756,62 @@
         "bbox": "-170, 10, -10, 80",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930729926-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930729926-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_DRK_L1_V03",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_DRK_L1_V03",
         "description": "Level 1 dark files provide the processed dark currents, corresponding to either solar irradiance measurements or radiance measurements. Each file includes the measured dark currents for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on dark current rates of all frames and their average for the UV and visible bands, pixel quality flags and other ancillary information. The product is produced using the image processing of L0-1b processor.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_HCHO-PROXY_L2_V01",
+        "title": "TEMPO Formaldehyde total column Proxy V01",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2013-07-01",
+        "end_date": "2014-06-30",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2634111678-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2634111678-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/TEMPO_HCHO-PROXY_L2_V01",
+        "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO HCHO data during the pre-launch era of the mission. The procedure for generating the \u201cfast\u201d proxy HCHO product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a-priori) from G5NR-chem are provided as input into the \u201cfast\u201d proxy methodology. Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure. True slant column densities are calculated from the HCHO truth profiles multiplied by the scattering weights in each model layer. A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities. A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy HCHO vertical column density product. Overall, the \u201cfast\u201d proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms. The proxy product is not intended for supporting scientific publications, operational decisions, etc.    Permission is needed for data access.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_HCHO-PROXY_L2_V02",
+        "title": "TEMPO Formaldehyde total column Proxy V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2013-07-01",
+        "end_date": "2014-06-30",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2725387165-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2725387165-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_HCHO-PROXY_L2_V02",
+        "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO HCHO data during the pre-launch era of the mission. The procedure for generating the \u201cfast\u201d proxy HCHO product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a-priori) from G5NR-chem are provided as input into the \u201cfast\u201d proxy methodology. Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure. True slant column densities are calculated from the HCHO truth profiles multiplied by the scattering weights in each model layer. A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities. A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy HCHO vertical column density product. Overall, the \u201cfast\u201d proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms. The proxy product is not intended for supporting scientific publications, operational decisions, etc.    Permission is needed for data access.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_HCHO_L2_V01",
+        "title": "TEMPO formaldehyde total column V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2732717000-LARC_CLOUD.html",
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+    },
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+        "title": "TEMPO Formaldehyde total column V02",
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+        "description": "Formaldehyde Level 2 files provide trace gas information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on vertical columns, ancillary data used in air mass factor calculations and reference sector or de-striping corrections, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) reference sector or de-striping corrections as necessary. For further details, please refer to the ATBD.",
+        "license": "proprietary"
+    },
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@@ -172778,10 +176821,36 @@
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         "license": "proprietary"
     },
+    {
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+        "title": "TEMPO gridded formaldehyde total column V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
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+        "license": "proprietary"
+    },
+    {
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+        "title": "TEMPO gridded formaldehyde total column V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849916-LARC_CLOUD.html",
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+        "description": "Formaldehyde Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on formaldehyde vertical columns, ancillary data used in air mass factor calculations and reference sector or de-striping corrections, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
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         "title": "TEMPO gridded formaldehyde total column V03 (BETA)",
@@ -172791,10 +176860,23 @@
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         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_IRRR_L1_V01",
+        "title": "TEMPO solar irradiance (reference diffuser) V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724056242-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724056242-LARC_CLOUD.html",
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+        "description": "Level 1 reference irradiance files provide solar irradiance measured using the reference solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration. Please refer to the ATBD for details.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_IRRR_L1_V02",
         "title": "TEMPO solar irradiance (reference diffuser) V02 (BETA)",
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         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_IRR_L1_V01",
+        "title": "TEMPO solar irradiance V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724055205-LARC_CLOUD.html",
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+        "description": "Level 1 irradiance files provide solar irradiance measured using the working solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration. Please refer to the ATBD for details.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_IRR_L1_V02",
         "title": "TEMPO solar irradiance V02 (BETA)",
@@ -172830,7 +176925,7 @@
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         "license": "proprietary"
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@@ -172843,10 +176938,62 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930757598-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930757598-LARC_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TEMPO_IRR_L1_V03",
         "description": "Level 1 irradiance files provide solar irradiance measured using the working solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_NO2-PROXY_L2_V02",
+        "title": "TEMPO NO2 tropospheric column PROXY",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2013-07-01",
+        "end_date": "2014-06-30",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2725397567-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2725397567-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2-PROXY_L2_V02",
+        "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO NO2 data during the pre-launch era of the mission. The procedure for generating the \u201cfast\u201d proxy NO2 product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a-priori) from G5NR-chem are provided as input into the \u201cfast\u201d proxy methodology. Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure. True slant column densities are calculated from the NO2 truth profiles multiplied by the scattering weights in each model layer. A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities. A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy NO2 vertical column density product. Overall, the \u201cfast\u201d proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms. The proxy product is not intended for supporting scientific publications, operational decisions, etc.    Permission is needed for data access.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_NO2-PROXY_L3_V01",
+        "title": "TEMPO gridded NO2 total column PROXY",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2013-07-01",
+        "end_date": "2014-06-30",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2673637273-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2673637273-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_NO2-PROXY_L3_V01",
+        "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO level 3 (L3) NO2 data before real data are available from the mission after launch.  The procedure for generating the \u201cfast\u201d proxy L3 NO2 product is the same as the level 2 (L2) product, except for the regridding step at the end of the L3 procedure.  Hourly model (truth) profiles and monthly-average hourly trace gas (a-priori) profiles from the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem; ~12.5 x 12.5 km2 resolution) are sampled at the TEMPO footprint (2.0 x 4.75 km2 at the center of the Field of Regard) to represent the true state of the atmosphere and climatological conditions, respectively.  Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure.  True slant column densities are calculated from the NO2 truth profiles multiplied by the scattering weights in each model layer.  A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities.  A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy NO2 vertical column density product at the TEMPO footprint.  Lastly, a geometric regridding procedure is applied, which weights the contributions of each L2 pixel to the target L3 polygon based on the geometric overlap, to generate the L3 product on a regular grid at 0.05\u00b0 resolution.  Overall, the \u201cfast\u201d proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms.  The proxy product is not intended for supporting scientific publications, operational decisions, etc.  Permission is needed to access the data. ",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_NO2_L2_V01",
+        "title": "TEMPO NO2 tropospheric, stratospheric, and total columns V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724057189-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724057189-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L2_V01",
+        "description": "Nitrogen dioxide Level 2 files provide trace gas information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) stratospheric/tropospheric separation. For further details, please refer to the ATBD.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_NO2_L2_V02",
+        "title": "TEMPO NO2 tropospheric, stratospheric, and total columns V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848994-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842848994-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L2_V02",
+        "description": "Nitrogen dioxide Level 2 files provide trace gas information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) stratospheric/tropospheric separation. For further details, please refer to the ATBD.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_NO2_L2_V03",
         "title": "TEMPO NO2 tropospheric and stratospheric columns V03 (BETA)",
@@ -172856,10 +177003,36 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930725014-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930725014-LARC_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L2_V03",
         "description": "Nitrogen dioxide Level 2 files provide trace gas information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) stratospheric/tropospheric separation.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_NO2_L3_V01",
+        "title": "TEMPO gridded NO2 tropospheric, stratospheric, and total columns V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-02",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724036633-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724036633-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_NO2_L3_V01",
+        "description": "Nitrogen dioxide Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_NO2_L3_V02",
+        "title": "TEMPO gridded NO2 tropospheric, stratospheric, and total columns V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842850219-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842850219-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_NO2_L3_V02",
+        "description": "Nitrogen dioxide Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_NO2_L3_V03",
         "title": "TEMPO gridded NO2 tropospheric and stratospheric columns V03 (BETA)",
@@ -172869,10 +177042,127 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930763263-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930763263-LARC_CLOUD.html",
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         "description": "Nitrogen dioxide Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_O3PROF-PROXY_L2_V02",
+        "title": "TEMPO OZONE PROFILE PROXY",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2013-07-01",
+        "end_date": "2014-06-30",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2725407324-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2725407324-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3PROF-PROXY_L2_V02",
+        "description": "This is a \u201cfast\u201d proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO O3 profile data during the pre-launch era of the mission. The procedure for generating the proxy O3 profile product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a priori) from G5NR-chem are resampled at the TEMPO footprint (2.0 x 4.75 km2 at the center of the Field of Regard) to represent the \u201ctrue\u201d state of the atmosphere as input into the \u201cfast\u201d proxy methodology. The methodology uses the optimal estimation and lookup table (LUT)-based radiative transfer model [GEOCAPE Radiative Transfer Tool based on the Vector Linearized Discrete Ordinate Radiative Transfer (VLIDORT) model (Spurr, 2006)] simulations founded on the linear retrieval approach (Rodgers, 2000). LUTs consist of top-of-atmosphere radiances and Jacobians simulated every 0.2 nm from 292 \u2013 340 nm and 540 \u2013 650 nm at a Gaussian of 0.6 Full Width at Half Maximum (FWHM) spectral resolution, matching the TEMPO instrument design. Surface and cloud layers are assumed as a Lambertian surface for incoming radiation. Ozone a priori and its covariance error is based on a tropopause-based climatology formed from ozonesondes from 1983 through 2008 (Bak et al., 2013) and surface albedo is from Ozone Monitoring Instrument (OMI) climatology in the ultraviolet and SCIAMACHY climatology in the visible. Finally, spatial co-adding of 4 pixels is performed to increase the signal-to-noise ratio and reduce the noise level in the O3 profile product. The final O3 profile product is packaged in netCDF-4/HDF5 format as planned for the operational TEMPO mission with a spatial resolution of 8.0 km x 4.75 km.     Permission is needed for data access.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_O3PROF_L2_V01",
+        "title": "TEMPO ozone profile V01",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724049185-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724049185-LARC_CLOUD.html",
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+        "description": "Ozone profile Level 2 files provide ozone profile information at a coarser spatial resolution than the native TEMPO resolution by coadding 4 across-track pixels in the North-South direction, ~40 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, a priori ozone profile and a prior error, total, stratospheric, and tropospheric ozone columns, other retrieved auxiliary parameters, random-noise and total retrieval errors for all of the retrieved quantities, the retrieval averaging kernels for the ozone profile, and the random-noise retrieval error covariance matrix for ozone, and several retrieval quality flags. The retrieval is based on spectral fitting of TEMPO radiances in both UV and visible bands using the iterative optimal estimation technique with a priori and measurement error constraints. For further details, please refer to the ATBD.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_O3PROF_L2_V02",
+        "title": "TEMPO ozone profile V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851537-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851537-LARC_CLOUD.html",
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+        "description": "Ozone profile Level 2 files provide ozone profile information at a coarser spatial resolution than the native TEMPO resolution by coadding 4 across-track pixels in the North-South direction, ~40 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, a priori ozone profile and a prior error, total, stratospheric, and tropospheric ozone columns, other retrieved auxiliary parameters, random-noise and total retrieval errors for all of the retrieved quantities, the retrieval averaging kernels for the ozone profile, and the random-noise retrieval error covariance matrix for ozone, and several retrieval quality flags. The retrieval is based on spectral fitting of TEMPO radiances in both UV and visible bands using the iterative optimal estimation technique with a priori and measurement error constraints. For further details, please refer to the ATBD.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_O3PROF_L2_V03",
+        "title": "TEMPO ozone profile V03 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930765147-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930765147-LARC_CLOUD.html",
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+        "description": "Ozone profile Level 2 files provide ozone profile information at a coarser spatial resolution than the native TEMPO resolution by coadding 4 across-track pixels in the North-South direction, ~40 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, a priori ozone profile and a prior error, total, stratospheric, and tropospheric ozone columns, other retrieved auxiliary parameters, random-noise and total retrieval errors for all of the retrieved quantities, the retrieval averaging kernels for the ozone profile, and the random-noise retrieval error covariance matrix for ozone, and several retrieval quality flags. The retrieval is based on spectral fitting of TEMPO radiances in both UV and visible bands using the iterative optimal estimation technique with a priori and measurement error constraints. For further details, please refer to the ATBD.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_O3PROF_L3_V01",
+        "title": "TEMPO gridded ozone profile V01",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724036709-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724036709-LARC_CLOUD.html",
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+        "description": "Ozone profile Level 3 files provide ozone profile information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, total, stratospheric, and tropospheric ozone columns, and their random-noise and total retrieval errors, a priori ozone profile and a prior error, effective cloud fraction and effective cloud top pressure. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_O3PROF_L3_V02",
+        "title": "TEMPO gridded ozone profile V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851798-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851798-LARC_CLOUD.html",
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+        "description": "Ozone profile Level 3 files provide ozone profile information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, total, stratospheric, and tropospheric ozone columns, and their random-noise and total retrieval errors, a priori ozone profile and a prior error, effective cloud fraction and effective cloud top pressure. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_O3PROF_L3_V03",
+        "title": "TEMPO gridded ozone profile V03 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930766006-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930766006-LARC_CLOUD.html",
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+        "description": "Ozone profile Level 3 files provide ozone profile information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, total, stratospheric, and tropospheric ozone columns, and their random-noise and total retrieval errors, a priori ozone profile and a prior error, effective cloud fraction and effective cloud top pressure. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_O3TOT_L2_V01",
+        "title": "TEMPO ozone total column V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724046381-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724046381-LARC_CLOUD.html",
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+        "description": "Total ozone Level 2 files provide ozone information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, effective cloud fraction, effective cloud pressure, radiative cloud fraction, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The retrieval is based on the OMI TOMS V8.5 algorithm adapted for TEMPO. For further details, please refer to the ATBD.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_O3TOT_L2_V02",
+        "title": "TEMPO ozone total column V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849465-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842849465-LARC_CLOUD.html",
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+        "description": "Total ozone Level 2 files provide ozone information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The retrieval is based on the OMI TOMS V8.5 algorithm adapted for TEMPO. For further details, please refer to the ATBD.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_O3TOT_L2_V03",
         "title": "TEMPO ozone total column V03 (BETA)",
@@ -172882,10 +177172,36 @@
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         "description": "Total ozone Level 2 files provide ozone information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, effective cloud fraction, effective cloud pressure, radiative cloud fraction, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The retrieval is based on the OMI TOMS V8.5 algorithm adapted for TEMPO.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_O3TOT_L3_V01",
+        "title": "TEMPO gridded ozone total column V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724037749-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724037749-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L3_V01",
+        "description": "Total ozone Level 3 files provide ozone information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including effective cloud fraction, effective cloud pressure, radiative cloud fraction, SO2 index, and terrain pressure. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_O3TOT_L3_V02",
+        "title": "TEMPO gridded ozone total column V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842852554-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842852554-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljLCBzdHJhdG9zcGhlcmljLCBhbmQgdG90YWwgY29sdW1ucyB2MDEgKHVudmFsaWRhdGVkKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDFcIiwyNzI0MDM2NjMzLDE3XSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYywgc3RyYXRvc3BoZXJpYywgYW5kIHRvdGFsIGNvbHVtbnMgdjAxICh1bnZhbGlkYXRlZClcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAxXCIsMjcyNDAzNjYzMywxN10ifQ%3D%3D/TEMPO_O3TOT_L3_V02",
+        "description": "Total ozone Level 3 files provide ozone information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including cloud fraction, cloud pressure, radiative cloud fraction, SO2 index, and terrain pressure. The re-gridding algorithm uses an area-weighted approach.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_O3TOT_L3_V03",
         "title": "TEMPO gridded ozone total column V03 (BETA)",
@@ -172895,10 +177211,36 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930764281-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930764281-LARC_CLOUD.html",
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         "description": "Total ozone Level 3 files provide ozone information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including effective cloud fraction, effective cloud pressure, radiative cloud fraction, SO2 index, and terrain pressure. The re-gridding algorithm uses an area-weighted approach.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_RADT_L1_V01",
+        "title": "TEMPO geolocated Earth radiances twilight V01",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2832249322-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2832249322-LARC_CLOUD.html",
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+        "description": "Level 1 radiance files provide radiance information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TEMPO_RADT_L1_V02",
+        "title": "TEMPO geolocated Earth radiances twilight V02",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842861966-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842861966-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZm9ybWFsZGVoeWRlIHRvdGFsIGNvbHVtbiBwcm94eSB2MDFcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX0hDSE8tUFJPWFlfTDJcIixcInYwMVwiLDI2MzQxMTE2NzgsN10iLCJ1bW0iOiJbXCJ0ZW1wbyBmb3JtYWxkZWh5ZGUgdG90YWwgY29sdW1uIHByb3h5IHYwMVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fSENITy1QUk9YWV9MMlwiLFwidjAxXCIsMjYzNDExMTY3OCw3XSJ9/TEMPO_RADT_L1_V02",
+        "description": "Level 1 radiance files provide radiance information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_RADT_L1_V03",
         "title": "TEMPO geolocated Earth radiances twilight V03 (BETA)",
@@ -172908,10 +177250,23 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930766795-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930766795-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RADT_L1_V03",
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         "description": "Level 1 twilight radiance files provide radiance measured during twilight hours to capture city lights at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically calibrated and geolocated radiances for the UV and visible bands, corresponding noise, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes image processing steps to produce radiometrically calibrated radiances with nominal navigation.",
         "license": "proprietary"
     },
+    {
+        "id": "TEMPO_RAD_L1_V01",
+        "title": "TEMPO geolocated Earth radiances V01 (UNVALIDATED)",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2023-08-01",
+        "end_date": "",
+        "bbox": "-170, 10, -10, 80",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2724057249-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2724057249-LARC_CLOUD.html",
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+        "description": "Level 1 radiance files provide radiance information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Image Navigation and Registration (INR) using GOES-R data, and (3) post INR processing geolocation tagging. Please refer to the ATBD for details.",
+        "license": "proprietary"
+    },
     {
         "id": "TEMPO_RAD_L1_V02",
         "title": "TEMPO geolocated Earth radiances V02 (BETA)",
@@ -172921,7 +177276,7 @@
         "bbox": "-170, 10, -10, 80",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842845562-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842845562-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RAD_L1_V02",
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         "description": "Level 1 radiance files provide radiance information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details.  These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters.  Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status.  The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov.",
         "license": "proprietary"
     },
@@ -172934,7 +177289,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930759336-LARC_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections/TEMPO_RAD_L1_V03",
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         "description": "Level 1 radiance files provide radiance information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging.",
         "license": "proprietary"
     },
@@ -172960,7 +177315,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2768941787-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768941787-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBuZC0xMSBmb3Jlc3Qgc29pbCBzdHJ1Y3R1cmUgYW5kIG5pdHJhdGUsIG53IG1hdG8gZ3Jvc3NvLCBicmF6aWw6IDIwMDQtMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiTkQxMV9Tb2lsX05pdHJhdGVfTW9pc3R1cmVfTVRfOTc2XCIsXCIxXCIsMjc3NzgxMjQxMCwyXSIsInVtbSI6IltcImxiYS1lY28gbmQtMTEgZm9yZXN0IHNvaWwgc3RydWN0dXJlIGFuZCBuaXRyYXRlLCBudyBtYXRvIGdyb3NzbywgYnJhemlsOiAyMDA0LTIwMDVcIixcIk9STkxfQ0xPVURcIixcIk5EMTFfU29pbF9OaXRyYXRlX01vaXN0dXJlX01UXzk3NlwiLFwiMVwiLDI3Nzc4MTI0MTAsMl0ifQ%3D%3D/TG02_Balloon_VOC_1110_1",
         "description": "This data set reports concentrations of biogenic volatile organic compounds (BVOCs) collected from tethered balloon-sampling platforms above selected forest and pasture sites in the Brazilian Amazon in March 1998, February 1999, and February 2000. The air samples were collected from forested sites in Brazil: the Tapajos forest (Para) in the Tapajos/Xingu moist forest; Balbina (Amazonas) in the Uatuma moist forest; and Jaru (Rondonia) in the Purus/Madeira moist forest. Two other sites were also located in Rondonia: at a forest reserve (Rebio Jaru) and a pasture (Fazenda Nossa Senhora Aparecida). The BVOCs measured included isoprene, alpha and beta pinene, camphene, sabinene, myrcene, limonene, and other monoterpenes. Approximately 24 to 40 soundings, including as many as four VOC samples collected simultaneously at various altitudes, were made at each site. There is one comma-delimited data file with this data set.",
         "license": "proprietary"
     },
@@ -172973,7 +177328,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2768942874-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768942874-ORNL_CLOUD.html",
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         "description": "This data set includes aerosol optical thickness measurements from the CIMEL sunphotometer for 22 sites in Brazil during the period from 1993-2005. The AERONET (AErosol RObotic NETwork) program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and  the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of aerosol optical properties. The network imposes standardization of instruments, calibration, and processing. Data from this collaboration provides globally distributed observations of spectral aerosol optical depths, inversion products, and precipitable water in geographically diverse aerosol regimes. Three levels of data are available from the AERONET website: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (cloud-screened and quality-assured). Data provided here are Level 2.0. There are 22 comma-delimited data files with this data set and one companion text file which contains the latitude, longitude, and elevation of the 22 sites.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781384398-ORNL_CLOUD.html",
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         "description": "This data set includes solar surface irradiance from Kipp and Zonen CM-21 pyranometers, both total unfiltered and filtered (RG695), and photosynthetically active radiation (PAR) from Skye-Probetech SKE-510 PAR sensors. Measurements were made at six sites acrosss the Brazilian Amazon during the period from 1999 to 2004. These sites were co-located with AERONET (AErosol RObotic NETwork) program sites. There are 17 comma-delimited data files (.csv) with this data set. The AERONET program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and  the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of those properties. The network imposes standardization of instruments, calibration, and processing. ",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773195548-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773195548-ORNL_CLOUD.html",
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         "description": "This data set provides maps produced from model output data from the National Aeronautics and Space Administration-Carnegie Ames Stanford Approach (NASA-CASA) model and other modeling approaches. The maps include estimated annual Net Primary Production (ANPP), leaf (live) biomass carbon, wood (live) biomass carbon, fine root (live) biomass carbon, metabolic leaf litter (dead) carbon, structural leaf litter (dead) carbon, woody detritus (dead) carbon, and slow soil carbon, gridded at half-degree spatial resolution for the years 1982-1998, and 2001 (NPP data) for Brazil. Maps are provided at one-degree resolution for monthly soil emissions and soil uptake of N2O, NO, CO, and CH4. In addition, there are maps in 8-km resolution for soil texture, soil carbon, soil pH, soil maximum plant available water (paw), and net primary productivity (NPP).There are three files with this data set in tar.gz format. The files are in half-degree, one-degree, and 8-km resolution. When expanded, the half degree and one degree files contain 83 map files in GeoTIFF (.tif) format. The third file (8-km resolution) contains the soil and productivity maps. When expanded, this file contains 22 files in GeoTIFF (.tif) format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781566236-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781566236-ORNL_CLOUD.html",
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         "description": "This data set contains measurements of atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), hydrogen (H2), nitrous oxide (N2O), and sulfur hexafluoride (SF6) collected from December 2000-November 2005 as vertical profiles above three sites in Brazil: Fortaleza, Santarem, and Manaus. At Santarem, ascending profiles were made above the Tapajos National Forest, near the km 67 Tower Site. At Manaus, ascending profiles were made above the K34 flux tower (aka, ZF2 km 34 tower) to the northwest of the city of Manaus. Descending profiles were flown nearby, but at locations upwind of population centers to avoid possible pollution. Fortaleza samples were collected off the coast, over the Atlantic Ocean to sample background air before it flows over the Amazon Basin.Air samples were collected as discrete samples aboard light aircraft and shipped to laboratories for analysis relative to internationally accepted calibration standards.There are three comma-delimited (.csv) data files with this data set.",
         "license": "proprietary"
     },
@@ -173025,7 +177380,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784834917-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784834917-ORNL_CLOUD.html",
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         "description": "Measurements of the soil-atmosphere flux of CO2 were made at the km 67 flux tower site in the Tapajos National Forest, Santarem, Para, Brazil. Eight chambers were set up to measure trace gas exchange between the soil and atmosphere about 5 times a day (during daylight and night) at this undisturbed forest site from April 2001 to April 2003. CO2 soil efflux data are reported in one ASCII comma separated file.The automated chamber system consisted of 8 automatically opening and closing aluminum chambers with an infrared gas analyzer. The chambers were installed in a 0.5 ha area close to the flux tower on patches of ground without apparent photosynthetic vegetation. Each chamber was sequentially closed, sampled, and re-opened 5 times per day (closed 7% of the day). The maximum daily average flux was 4.3 and the minimum was 1.3 umol CO2 m-2 s-1.",
         "license": "proprietary"
     },
@@ -173038,7 +177393,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742959-ORNL_CLOUD.html",
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         "description": "Canopy measurements in an undisturbed eastern Amazon forest (Cauxi, Para, Brazil. See Figure 1) were derived from a one-time event in 2000 using a hand-held laser range finder, and diameter at breast height (DBH) was determined manually. Parameters reported include: Crown Width, Crown Depth, Tree Height, and DBH. There is one comma-delimited ASCII data file with this data set. In addition, these manually derived measurements were compared to the IKONOS satellite data of crown dimensions that were acquired on 2 November 2000, from an orbital altitude of 680 km. The data from a 600 x 600 m block of undisturbed forest, including the 50 ha area surveyed in the field, were analyzed in a combined image processing and geographic information system environment.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: Only the general location for this study was identified -- Cauaxi, Para, Brazil. The tree measurement data are of limited use because coordinates for the study site, coordinates of the beginning and end of the transects, and coordinates of the measured trees were not provided. Also, the area that the IKONOS image captured was not provided and the IKONOS image is not available due to restricted distribution.",
         "license": "proprietary"
     },
@@ -173051,7 +177406,7 @@
         "bbox": "-54.97, -3.02, -54.97, -3.02",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777750285-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777750285-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBuZC0xMSBmb3Jlc3Qgc29pbCBzdHJ1Y3R1cmUgYW5kIG5pdHJhdGUsIG53IG1hdG8gZ3Jvc3NvLCBicmF6aWw6IDIwMDQtMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiTkQxMV9Tb2lsX05pdHJhdGVfTW9pc3R1cmVfTVRfOTc2XCIsXCIxXCIsMjc3NzgxMjQxMCwyXSIsInVtbSI6IltcImxiYS1lY28gbmQtMTEgZm9yZXN0IHNvaWwgc3RydWN0dXJlIGFuZCBuaXRyYXRlLCBudyBtYXRvIGdyb3NzbywgYnJhemlsOiAyMDA0LTIwMDVcIixcIk9STkxfQ0xPVURcIixcIk5EMTFfU29pbF9OaXRyYXRlX01vaXN0dXJlX01UXzk3NlwiLFwiMVwiLDI3Nzc4MTI0MTAsMl0ifQ%3D%3D/TG07_FFT_Survey_Km83_923_1",
         "description": "A field inventory of trees was conducted in March of 1997 in a logging concession at the Tapajos National Forest, south of Santarem, Para, Brazil. The inventory was conducted by the foresters and technicians of the Tropical Forest Foundation (FFT) and included all trees with diameter at breast height greater than or equal to 35 cm. Four blocks of approximately 100 ha each within the 3,200 ha concession were inventoried. Within each block, parallel trails 50 m apart were established, and the location of each tree measured was recorded to the nearest meter using an orthogonal coordinate system based on these trails. Field data for each tree includes: identification number, ground position, diameter, common name, scientific name and qualitative estimates of bole and canopy quality. Data are provided in one ASCII comma separated file. These data were used to calculate above-ground live biomass as described in Keller et al. (2001), but biomass data are not included in this data set.",
         "license": "proprietary"
     },
@@ -173064,7 +177419,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777830142-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777830142-ORNL_CLOUD.html",
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         "description": "This data set reports the characterization of fallen necromass as the volume and density of coarse woody debris (CWD), and standing necromass as the volume and density of standing dead trees. Measurements were made in undisturbed and logged forest areas of the Tapajos National Forest, and Cauaxi Forest, Para, Brazil,  and Juruena Forest, Mato Grosso, Brazil from 2002-2004. Fallen and standing necromass were classified into one of five categories according to its state of decomposition. There are two comma-delimited ASCII data files with this data set: two files contain the sampling information, decomposition state, and DBH measurements. There are also two files provided as companion data files which provide sampling transect descriptions.  ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777750382-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777750382-ORNL_CLOUD.html",
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         "description": "The goal of this study was to determine the effects of soil phosphorus (P) status on litter decomposition rates using two factors: soil texture (with associated differences in soil P pools) and fertilization, in a fully factorial design. Mass and nutrient pools in litter from a single species, Marupa (Simaruba amara (Aubl.)), were measured quarterly between March 2000 and February 2001 in an undisturbed mature forest within the Tapajos National Forest at the kilometer 83 site. Reported here are litter mass and nutrients (carbon, nitrogen and phosphorus) as both raw values (grams for mass, percent for carbon and nitrogen and mg per kg for phosphorus), and as proportion of the initial mass and nutrient pool. Data are provided in a comma separated ASCII format.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777845832-ORNL_CLOUD.html",
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         "description": "Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide (CO2, CH4, N2O, and NO) from surface soil were measured manually in an undisturbed forest at the Tapajos National Forest Seca-Floresta Site, which is within the footprint of the km 67 eddy flux tower. Measurements were made in January 2000 through April 2004, approximately twice per month. On each sampling date, up to four sets of 30-m lines were established off the existing transects at the Seca-Floresta site. Along each line eight chambers were installed for gas collection. In addition soil samples were collected for analysis of soil moisture as water-filled pore space (WFPS). There is one comma-delimited ASCII file with this data set.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777750323-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777750323-ORNL_CLOUD.html",
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         "description": "This data set reports the results of an experiment that tested the short-term effects of root mortality on the soil-atmosphere fluxes of nitrous oxide, nitric oxide, methane, and carbon dioxide in a tropical evergreen forest. Weekly trace gas fluxes are provided for treatment and control plots on sand and clay tropical forest soils in two comma separated ASCII files.The study site in the Tapajos National Forest (TNF) is near km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year. Monthly data are not included at this time.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780918120-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780918120-ORNL_CLOUD.html",
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         "description": "This data set reports measurements of trace gas fluxes of methane (CH4), nitric oxide (N2O), nitrous oxide (NO), carbon dioxide (CO2) from soils at a study site in the Tapajos National Forest (TNF), near the km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Data for root mass and carbon content, soil nitrogen (N), nitrification, and moisture content are also provided. There are five comma-delimited data files with this data set.The research was conducted to test the effects of root mortality on the soil-atmosphere trace-gas fluxes over the course of one year. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year.Note: The related  data set LBA-ECO TG-07 Soil Trace Gas Flux and Root Mortality, Tapajos National Forest contains the same flux data that were measured weekly for ten weeks following the trenching treatment. This data set also provides the monthly data for the remainder of the year. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777337441-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777337441-ORNL_CLOUD.html",
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         "description": "This data set provides the results of a GLAS (the Geoscience Laser Altimeter System) forest structure validation survey conducted in Santarem and Sao Jorge, Para during November 2004 (Lefsky et al., 2005). DBH, total height, commercial height, canopy width and canopy class description were measured for 11 primary forest sites in Santarem along two 75m transects per GLAS measurement. For 10 secondary forest sites in Sao Jorge, the number of stems 0-2cm, 2-5cm, 5-10cm, and greater than 10cm were measured. For all stems greater than 10cm the DBH was measured, and for all sites, the maximum height was recorded. The basal area was calculated for all trees with DBH greater than 10cm within our transects, and biomass was calculated using the Brown, 1997 formula.Exchange of carbon between forests and the atmosphere is a vital component of the global carbon cycle. Satellite laser altimetry has a unique capability for estimating forest canopy height, which has a direct and increasingly well understood relationship to aboveground carbon storage.",
         "license": "proprietary"
     },
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         "description": "Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide were measured manually at undisturbed and logged forest sites in the Tapajos National Forest, near Santarem, Para, Brazil. Manual measurements were made approximately weekly at both the undisturbed and logged sites. Fluxes from clay and sand soils were completed at the undisturbed sites. Fluxes were measured at the deck (patio), skid trail, clearing and forest at the logged sites. Soil moisture is reported as daily average water-filled pore space (WFPS) for the undisturbed forest clay and sand soils. Data are reported in three ASCII comma separated files.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780117658-ORNL_CLOUD.html",
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         "description": "This data set reports phosphorus (P), carbon (C), and nitrogen (N) nutrient pool concentrations for forest soils and roots and P pool concentrations for forest floor litter, soil solutions, and microbial extracts. Soils samples were also extracted using the Hedley sequential fractionation method and the extracts analyzed for P. Nutrient pool concentrations are presented on an areal basis of 1 hectare to a depth of 10 cm, as calculated from soil bulk densities and respective pool biomass quantities. There is one comma-delimited ASCII file with this data set. These measurements were made during a soil P addition fertilization experiment conducted at the km 83 site, Tapajos National Forest, Para, Brazil. Control and fertilized plots were established in both sandy loam and clay soils. Soil cores were collected every 4 months from August 1999 through April 2000 (McGroddy et al. 2008). ",
         "license": "proprietary"
     },
@@ -173168,7 +177523,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780891006-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780891006-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBsaXR0ZXIgZGVjb21wb3NpdGlvbiwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIHBhcmEsIGJyYXppbDogMjAwMC0yMDAxXCIsXCJPUk5MX0NMT1VEXCIsXCJURzA3X0xpdHRlcl9EZWNvbXBvc2l0aW9uXzkyNVwiLFwiMVwiLDI3Nzc3NTAzODIsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIHRnLTA3IGxpdHRlciBkZWNvbXBvc2l0aW9uLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgcGFyYSwgYnJhemlsOiAyMDAwLTIwMDFcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfTGl0dGVyX0RlY29tcG9zaXRpb25fOTI1XCIsXCIxXCIsMjc3Nzc1MDM4MiwyXSJ9/TG07_Trace_Gas_Profiles_1107_1",
         "description": "This data set provides concentrations of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) from air samples collected at several heights on towers at three locations in upland old growth forests in the Brazilian Amazon during the wet and dry seasons of 2004 and 2005. Towers are located in the Caxiuana National Forest, in the state of Amazonas; the Manaus, Para, site in the Cuieiras Reserve; and the Sinop site, located north of that city in the state of Mato Grosso. Two sampling campaigns were conducted at each location. Samples were collected from each height 3-5 times on several nights and at least once during well-mixed daytime conditions during each campaign for a total of 75 profiles on 19 dates. There is one comma-delimited ASCII file with this data set. ",
         "license": "proprietary"
     },
@@ -173181,7 +177536,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780809181-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780809181-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBsaXR0ZXIgZGVjb21wb3NpdGlvbiwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIHBhcmEsIGJyYXppbDogMjAwMC0yMDAxXCIsXCJPUk5MX0NMT1VEXCIsXCJURzA3X0xpdHRlcl9EZWNvbXBvc2l0aW9uXzkyNVwiLFwiMVwiLDI3Nzc3NTAzODIsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIHRnLTA3IGxpdHRlciBkZWNvbXBvc2l0aW9uLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgcGFyYSwgYnJhemlsOiAyMDAwLTIwMDFcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfTGl0dGVyX0RlY29tcG9zaXRpb25fOTI1XCIsXCIxXCIsMjc3Nzc1MDM4MiwyXSJ9/TG08_Soil_Gas_Fertilization_1105_1",
         "description": "This data set provides nitric oxide (NO), nitrous oxide (N2O), carbon dioxide (CO2) flux measurements, nitrogen (N) and phosphorus (P) pools, net N mineralization and nitrification rates, and measurements of soil moisture, in response to nitrogen and phosphorus soil fertilization treatments. The research was conducted in a mature moist tropical forest and an 11-year pasture at Nova Vida in Rondonia, in the Brazilian Amazon, in 1998 and 1999. There is one comma-delimited ASCII data file with this data set.",
         "license": "proprietary"
     },
@@ -173194,7 +177549,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780156624-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780156624-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBsaXR0ZXIgZGVjb21wb3NpdGlvbiwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIHBhcmEsIGJyYXppbDogMjAwMC0yMDAxXCIsXCJPUk5MX0NMT1VEXCIsXCJURzA3X0xpdHRlcl9EZWNvbXBvc2l0aW9uXzkyNVwiLFwiMVwiLDI3Nzc3NTAzODIsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIHRnLTA3IGxpdHRlciBkZWNvbXBvc2l0aW9uLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgcGFyYSwgYnJhemlsOiAyMDAwLTIwMDFcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfTGl0dGVyX0RlY29tcG9zaXRpb25fOTI1XCIsXCIxXCIsMjc3Nzc1MDM4MiwyXSJ9/TG08_Soil_Gas_Wetting_1101_1",
         "description": "This data set includes the results of measurements of the soil gas fluxes of nitric oxide (NO), nitrous oxide (N2O), and carbon dioxide (CO2), soil moisture, soil temperature, and soil pools of ammonium and nitrate in response to a simulated rain event. Study sites were soils in mature forests and pastures of two ages (11 and 26 yrs old). The study took place during the dry season in August 1998 at Fazenda Nova Vida, Rondonia in the Brazilian Amazon. There is one comma-delimited ASCII file with this data set. This study investigated how changes in soil moisture (i.e., rains at the end of the dry season) affected the fluxes of NO, N20 and CO2 from forest and pasture soils in the southwestern Brazilian Amazon (Garcia-Montiel, et al., 2003). The main objectives were to measure the short-term dynamics of soil emissions of NO, N20, and CO2 in forest and pasture soils associated with soil wetting after prolonged dryness; and quantify the contribution of the pulses of N oxide fluxes resulting from soil wetting to dry season and annual fluxes. ",
         "license": "proprietary"
     },
@@ -173207,7 +177562,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777838247-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777838247-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBsaXR0ZXIgZGVjb21wb3NpdGlvbiwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIHBhcmEsIGJyYXppbDogMjAwMC0yMDAxXCIsXCJPUk5MX0NMT1VEXCIsXCJURzA3X0xpdHRlcl9EZWNvbXBvc2l0aW9uXzkyNVwiLFwiMVwiLDI3Nzc3NTAzODIsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIHRnLTA3IGxpdHRlciBkZWNvbXBvc2l0aW9uLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgcGFyYSwgYnJhemlsOiAyMDAwLTIwMDFcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfTGl0dGVyX0RlY29tcG9zaXRpb25fOTI1XCIsXCIxXCIsMjc3Nzc1MDM4MiwyXSJ9/TG09_N2O_Soils_1013_1",
         "description": "This data set reports the results of carbon, nitrogen, and oxygen isotopic analyses of soil, soil water, and N2O soil gas samples; total soil carbon and nitrogen concentrations; and soil texture and bulk density. Samples were collected from the km 83 Logged Forest Tower Site and the km 67 Seca-Floresta Site in the Tapajos National Forest (TNF) near Santarem, Para, Brazil. Soil samples were collected in July of 2000 and soil gas samples were collected in 2001 and 2002. Soil and gas samples were collected from various soil types at each site and from several depths in specially constructed pits. There is one comma-delimited ASCII data file with this data set. ",
         "license": "proprietary"
     },
@@ -173220,7 +177575,7 @@
         "bbox": "-54.19, -11.49, -51.8, -3.01",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773193196-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773193196-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyB0Zy0wNyBsaXR0ZXIgZGVjb21wb3NpdGlvbiwgdGFwYWpvcyBuYXRpb25hbCBmb3Jlc3QsIHBhcmEsIGJyYXppbDogMjAwMC0yMDAxXCIsXCJPUk5MX0NMT1VEXCIsXCJURzA3X0xpdHRlcl9EZWNvbXBvc2l0aW9uXzkyNVwiLFwiMVwiLDI3Nzc3NTAzODIsMl0iLCJ1bW0iOiJbXCJsYmEtZWNvIHRnLTA3IGxpdHRlciBkZWNvbXBvc2l0aW9uLCB0YXBham9zIG5hdGlvbmFsIGZvcmVzdCwgcGFyYSwgYnJhemlsOiAyMDAwLTIwMDFcIixcIk9STkxfQ0xPVURcIixcIlRHMDdfTGl0dGVyX0RlY29tcG9zaXRpb25fOTI1XCIsXCIxXCIsMjc3Nzc1MDM4MiwyXSJ9/TG10_TROFFEE_1195_1",
         "description": "This data set provides derived emission factors (EFs), reported in grams of compound emitted per kilogram of dry fuel (g/kg), for PM10 (particulate matter up to 10 micrometers in size), O3, CO2, CO, NO, NO2, HONO, HCN, NH3, OCS, DMS, CH4, and up to 48 non-methane organic compounds (NMOC) from the Tropical Forest and Fire Emissions Experiment (TROFFEE). TROFFEE used laboratory measurements followed by airborne and ground based field campaigns in Mato Grosso, Para, and Amazonas, Brazil during the 2004 Amazon dry season to quantify the emissions from pristine tropical forest and several plantations as well as the emissions, fuel consumption, and fire ecology of tropical deforestation fires. EFs were determined for 19 tropical deforestation fires in August and September, 2004. The combined output of these fires created a massive megaplume more than 500-km wide and covered a large area in Brazil, Bolivia, and Paraguay for about one month. For the megaplume, the EFs (reported in grams of compound emitted per kilogram of dry fuel (g/kg)) represented the effective emissions factor measured downwind from the source.There are two comma-delimited data files (.csv) and one text file (.txt) with this data set. The text file contains information regarding the fuel/fire sources, latitude and longitudes (also provided in the data files).",
         "license": "proprietary"
     },
@@ -173484,6 +177839,19 @@
         "description": "TIROS-7 Medium-Resolution Scanning Radiometer Level 1 Final Meteorological Radiation Data (FMRT) product contains radiances expressed in five infrared/visible wavelength regions, expressed in either equivalent blackbody temperature (IR channels 1,2 and 4) or effective radiant emmitance (visible channels 3 and 5). The data will trace an elliptical, parabolic, or hyperbolic pattern on the ground due to the rotating of the instrument about the satellite spin axis. There is one orbit per file. The data were originally written on IBM 7094 machines, and these have been recovered from magnetic tapes, referred to as the Final Meteorological Radiation Tapes (FMRT). The data are archived in their original IBM 36-bit word proprietary format, also referred to as a binary TAP file.  The TIROS-7 satellite was successfully launched on June 19, 1963. The Medium-Resolution Scanning Radiometer experiment successfully returned data for two years, continuing the measurements made by its predecessors flown on TIROS-2, -3 and -4. The instrument is a five channel radiometer with a 55 km footprint at nadir with the following characteristics:  Channel 1: 14.8 to 15.5 microns - carbon dioxide absorption Channel 2: 8.0 to 12.0 microns - atmospheric window Channel 3: 0.2 to 6.0 microns - reflected solar radiation Channel 4: 8.0 to 30 microns - thermal radiation from the earth and atmosphere Channel 5: 0.55 to 0.75 microns - response to the TV system  The Principal Investigator for these data was Joseph D. Barksdale from NASA Goddard Space Flight Center. This product was previously available from the NSSDC with the identifier ESAD-00217 (old ID 63-024A-02A).",
         "license": "proprietary"
     },
+    {
+        "id": "TL1BL_004",
+        "title": "TES/Aura L1B Spectra Limb V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606825-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606825-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL1BL_004",
+        "description": "TES Level 1B Spectra data contain radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data are also provided. Each L1B data file contains data from a single TES orbit starting from the South Pole Apex.A Nadir sequence with in the TES Global Survey is two low resolution scans overthe same ground locations. The Nadir standard product consists of four files,where each file is composed of the Global Survey Nadir observations from one offour focal planes for a single orbit, i.e. 72 orbit sequences. The GlobalSurvey Nadir observations currently only use a single set of filter mix.A Limb sequence within the TES Global Survey is three high-resolutionscans over the same limb locations. The Limb standard product willconsist of four files, where each file will be composed of the GlobalSurvey Limb observations from one of four focal planes for a singleorbit, i.e. 72 orbit sequences. The Global Survey Limb observationsuse a repeating sequence of filter wheel positions.Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/specialobservations/ for details.Details of the format of this product can be found in the TESData Products Specifications (DPS) which is available from the LaRC ASDC site:https://eosweb.larc.nasa.gov/project/tes/DPS",
+        "license": "proprietary"
+    },
     {
         "id": "TL1BL_5",
         "title": "TES/Aura L1B Spectra Limb V005",
@@ -173497,6 +177865,19 @@
         "description": "TL1BL_5 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Limb Version 5 data product. TES Level 1B Spectra data contaisn radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided with this data product.   TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Each L1B data file contained data from a single TES orbit starting from the South Pole Apex. A Nadir sequence within the TES Global Survey was two low resolution scans over the same ground locations, thus pointing directly to the surface of the earth. The Nadir standard product consisted of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. The Global Survey Limb observations, however, used a repeating sequence of filter wheel positions and were pointed at various off-nadir angles into the atmosphere. Special Observations were only scheduled during the 9 or 10 orbit gaps in the Global Surveys and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.",
         "license": "proprietary"
     },
+    {
+        "id": "TL1BL_5",
+        "title": "TES/Aura L1B Spectra Limb V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2005-04-10",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606831-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606831-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL1BL_5",
+        "description": "TL1BL_5 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Limb Version 5 data product. TES Level 1B Spectra data contaisn radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided with this data product.   TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Each L1B data file contained data from a single TES orbit starting from the South Pole Apex. A Nadir sequence within the TES Global Survey was two low resolution scans over the same ground locations, thus pointing directly to the surface of the earth. The Nadir standard product consisted of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. The Global Survey Limb observations, however, used a repeating sequence of filter wheel positions and were pointed at various off-nadir angles into the atmosphere. Special Observations were only scheduled during the 9 or 10 orbit gaps in the Global Surveys and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.",
+        "license": "proprietary"
+    },
     {
         "id": "TL1BN_6",
         "title": "TES/Aura L1B Spectra Nadir V006",
@@ -173510,6 +177891,32 @@
         "description": "TL1BN_6 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Nadir Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 1B Spectra data contains radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided. Each L1B data file contains spectra data composed of the Global Survey Nadir observations formed a single TES orbit starting from the South Pole Apex.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.",
         "license": "proprietary"
     },
+    {
+        "id": "TL1BN_6",
+        "title": "TES/Aura L1B Spectra Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606854-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606854-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL1BN_6",
+        "description": "TL1BN_6 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Nadir Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 1B Spectra data contains radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided. Each L1B data file contains spectra data composed of the Global Survey Nadir observations formed a single TES orbit starting from the South Pole Apex.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL1BSOL_6",
+        "title": "TES/Aura L1B Spectra Special Observation Low Resolution V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606859-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606859-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL1BSOL_6",
+        "description": "TL1BSOL_6 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Special Observation Low Resolution Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 1B Spectra data contains radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided. Each L1B data file contains spectra data composed of the Global Survey Nadir observations from a single TES orbit starting from the South Pole Apex.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The Global Survey Limb observations use a repeating sequence of filter wheel positions. Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.",
+        "license": "proprietary"
+    },
     {
         "id": "TL1BSOL_6",
         "title": "TES/Aura L1B Spectra Special Observation Low Resolution V006",
@@ -173523,6 +177930,19 @@
         "description": "TL1BSOL_6 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Special Observation Low Resolution Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 1B Spectra data contains radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided. Each L1B data file contains spectra data composed of the Global Survey Nadir observations from a single TES orbit starting from the South Pole Apex.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The Global Survey Limb observations use a repeating sequence of filter wheel positions. Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2ANCS_7",
+        "title": "TES/Aura L2 Ancillary Special Observation Product V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606987-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606987-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2ANCS_7",
+        "description": "TL2ANCS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Special Observation Product Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2ANCS_7",
         "title": "TES/Aura L2 Ancillary Special Observation Product V007",
@@ -173549,6 +177969,32 @@
         "description": "TL2ANCS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Special Observation Product Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2ANCS_8",
+        "title": "TES/Aura L2 Ancillary Special Observation Product V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607058-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607058-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2ANCS_8",
+        "description": "TL2ANCS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Special Observation Product Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2ANC_7",
+        "title": "TES/Aura L2 Ancillary Product V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606876-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606876-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2ANC_7",
+        "description": "TL2ANC_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Version 7 product . TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. For this product, the geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run.   A global survey consisted of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.   Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. The organization of data within the Swath object was based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could have contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC).",
+        "license": "proprietary"
+    },
     {
         "id": "TL2ANC_7",
         "title": "TES/Aura L2 Ancillary Product V007",
@@ -173575,6 +178021,32 @@
         "description": "TL2ANC_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Version 8 product . TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. For this product, the geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run.   A global survey consisted of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.   Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. The organization of data within the Swath object was based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could have contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC).",
         "license": "proprietary"
     },
+    {
+        "id": "TL2ANC_8",
+        "title": "TES/Aura L2 Ancillary Product V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606908-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215606908-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2ANC_8",
+        "description": "TL2ANC_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Version 8 product . TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. For this product, the geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run.   A global survey consisted of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.   Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. The organization of data within the Swath object was based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could have contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC).",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2ATMLN_006",
+        "title": "TES/Aura L2 Atmospheric Temperature Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607141-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607141-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2ATMLN_006",
+        "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2ATMLN_006",
         "title": "TES/Aura L2 Atmospheric Temperature Lite Nadir V006",
@@ -173588,6 +178060,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2ATMLN_7",
+        "title": "TES/Aura L2 Atmospheric Temperature Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607202-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607202-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2ATMLN_7",
+        "description": "TL2ATMLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperature Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2ATMLN_7",
         "title": "TES/Aura L2 Atmospheric Temperature Lite Nadir V007",
@@ -173614,6 +178099,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2ATMTL_006",
+        "title": "TES/Aura L2 Atmospheric Temperatures Limb V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607254-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607254-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2ATMTL_006",
+        "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2ATMTN_7",
         "title": "TES/Aura L2 Atmospheric Temperatures Nadir V007",
@@ -173627,6 +178125,19 @@
         "description": "TL2ATMTN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Limb sequence within the TES Global Survey involved three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2ATMTN_7",
+        "title": "TES/Aura L2 Atmospheric Temperatures Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607312-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607312-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2ATMTN_7",
+        "description": "TL2ATMTN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Limb sequence within the TES Global Survey involved three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2ATMTN_8",
         "title": "TES/Aura L2 Atmospheric Temperatures Nadir V008",
@@ -173640,6 +178151,32 @@
         "description": "TL2ATMTN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Limb sequence within the TES Global Survey involved three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2ATMTN_8",
+        "title": "TES/Aura L2 Atmospheric Temperatures Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607408-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607408-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2ATMTN_8",
+        "description": "TL2ATMTN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Limb sequence within the TES Global Survey involved three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2CH4LN_006",
+        "title": "TES/Aura L2 Methane Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607484-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607484-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2CH4LN_006",
+        "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CH4LN_006",
         "title": "TES/Aura L2 Methane Lite Nadir V006",
@@ -173666,6 +178203,32 @@
         "description": "TL2CH4LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that was common to both nadir and limb files.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CH4LN_7",
+        "title": "TES/Aura L2 Methane Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607563-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607563-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2CH4LN_7",
+        "description": "TL2CH4LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that was common to both nadir and limb files.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2CH4NS_7",
+        "title": "TES/Aura L2 Methane Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607698-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607698-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2CH4NS_7",
+        "description": "TL2CH4NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CH4NS_7",
         "title": "TES/Aura L2 Methane Nadir Special Observation V007",
@@ -173679,6 +178242,19 @@
         "description": "TL2CH4NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CH4NS_8",
+        "title": "TES/Aura L2 Methane Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607703-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607703-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2CH4NS_8",
+        "description": "TL2CH4NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CH4NS_8",
         "title": "TES/Aura L2 Methane Nadir Special Observation V008",
@@ -173705,6 +178281,19 @@
         "description": "TL2CH4N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CH4N_7",
+        "title": "TES/Aura L2 Methane Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607649-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607649-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2CH4N_7",
+        "description": "TL2CH4N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CH4N_8",
         "title": "TES/Aura L2 Methane Nadir V008",
@@ -173718,6 +178307,32 @@
         "description": "TL2CH4N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CH4N_8",
+        "title": "TES/Aura L2 Methane Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607680-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607680-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2CH4N_8",
+        "description": "TL2CH4N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2CO2LN_006",
+        "title": "TES/Aura L2 Carbon Dioxide Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607772-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607772-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CO2LN_006",
+        "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CO2LN_006",
         "title": "TES/Aura L2 Carbon Dioxide Lite Nadir V006",
@@ -173744,6 +178359,32 @@
         "description": "TL2CO2LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CO2LN_7",
+        "title": "TES/Aura L2 Carbon Dioxide Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607839-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607839-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CO2LN_7",
+        "description": "TL2CO2LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2CO2NS_7",
+        "title": "TES/Aura L2 Carbon Dioxide Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-21",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608309-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608309-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CO2NS_7",
+        "description": "TL2CO2NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Special Observation Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CO2NS_7",
         "title": "TES/Aura L2 Carbon Dioxide Nadir Special Observation V007",
@@ -173757,6 +178398,19 @@
         "description": "TL2CO2NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Special Observation Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CO2NS_8",
+        "title": "TES/Aura L2 Carbon Dioxide Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-21",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608421-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608421-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CO2NS_8",
+        "description": "TL2CO2NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Special Observation Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CO2NS_8",
         "title": "TES/Aura L2 Carbon Dioxide Nadir Special Observation V008",
@@ -173783,6 +178437,19 @@
         "description": "TL2CO2N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CO2N_7",
+        "title": "TES/Aura L2 Carbon Dioxide Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607983-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215607983-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CO2N_7",
+        "description": "TL2CO2N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CO2N_8",
         "title": "TES/Aura L2 Carbon Dioxide Nadir V008",
@@ -173796,6 +178463,19 @@
         "description": "TL2CO2N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CO2N_8",
+        "title": "TES/Aura L2 Carbon Dioxide Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608147-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608147-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CO2N_8",
+        "description": "TL2CO2N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2COLN_006",
         "title": "TES/Aura L2 Carbon Monoxide Lite Nadir V006",
@@ -173809,6 +178489,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2COLN_006",
+        "title": "TES/Aura L2 Carbon Monoxide Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608540-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608540-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2COLN_006",
+        "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2COLN_7",
         "title": "TES/Aura L2 Carbon Monoxide Lite Nadir V007",
@@ -173822,6 +178515,19 @@
         "description": "TL2COLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2COLN_7",
+        "title": "TES/Aura L2 Carbon Monoxide Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608588-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608588-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2COLN_7",
+        "description": "TL2COLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CONS_7",
         "title": "TES/Aura L2 Carbon Monoxide Nadir Special Observation V007",
@@ -173835,6 +178541,19 @@
         "description": "TL2CONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CONS_7",
+        "title": "TES/Aura L2 Carbon Monoxide Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608710-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608710-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CONS_7",
+        "description": "TL2CONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CONS_8",
         "title": "TES/Aura L2 Carbon Monoxide Nadir Special Observation V008",
@@ -173848,6 +178567,32 @@
         "description": "TL2CONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g. surface characteristics for nadir observations) were also provided. Level 2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CONS_8",
+        "title": "TES/Aura L2 Carbon Monoxide Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608740-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608740-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CONS_8",
+        "description": "TL2CONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g. surface characteristics for nadir observations) were also provided. Level 2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2CON_7",
+        "title": "TES/Aura L2 Carbon Monoxide Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2017-10-24",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608635-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608635-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CON_7",
+        "description": "TL2CON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2CON_7",
         "title": "TES/Aura L2 Carbon Monoxide Nadir V007",
@@ -173874,6 +178619,19 @@
         "description": "TL2CON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2CON_8",
+        "title": "TES/Aura L2 Carbon Monoxide Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608680-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608680-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2CON_8",
+        "description": "TL2CON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2FORLN_006",
         "title": "TES/Aura L2 Formic Acid Lite Nadir V006",
@@ -173887,6 +178645,32 @@
         "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2FORLN_006",
+        "title": "TES/Aura L2 Formic Acid Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608753-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608753-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2FORLN_006",
+        "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2FORLN_7",
+        "title": "TES/Aura L2 Formic Acid Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608759-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608759-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2FORLN_7",
+        "description": "TL2FORLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2FORLN_7",
         "title": "TES/Aura L2 Formic Acid Lite Nadir V007",
@@ -173900,6 +178684,19 @@
         "description": "TL2FORLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2FORNS_7",
+        "title": "TES/Aura L2 Formic Acid Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608910-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608910-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2FORNS_7",
+        "description": "TL2FORNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2FORNS_7",
         "title": "TES/Aura L2 Formic Acid Nadir Special Observation V007",
@@ -173913,6 +178710,19 @@
         "description": "TL2FORNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2FORNS_8",
+        "title": "TES/Aura L2 Formic Acid Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609035-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609035-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2FORNS_8",
+        "description": "TL2FORNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2FORNS_8",
         "title": "TES/Aura L2 Formic Acid Nadir Special Observation V008",
@@ -173926,6 +178736,19 @@
         "description": "TL2FORNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2FORN_7",
+        "title": "TES/Aura L2 Formic Acid Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608771-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608771-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2FORN_7",
+        "description": "TL2FORN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2FORN_7",
         "title": "TES/Aura L2 Formic Acid Nadir V007",
@@ -173939,6 +178762,19 @@
         "description": "TL2FORN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2FORN_8",
+        "title": "TES/Aura L2 Formic Acid Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608825-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215608825-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2FORN_8",
+        "description": "TL2FORN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Version 8 data product.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2FORN_8",
         "title": "TES/Aura L2 Formic Acid Nadir V008",
@@ -173952,6 +178788,19 @@
         "description": "TL2FORN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Version 8 data product.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2H2OLN_6",
+        "title": "TES/Aura L2 H2O Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-31",
+        "end_date": "2015-09-30",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609233-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609233-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2H2OLN_6",
+        "description": "TL2H2OLN_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 H2O Lite Nadir Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and some other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters.  L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.  A Nadir sequence with in the TES Global Survey is two low resolution scans over the same ground locations. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions.  Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/special observations/ for details.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.  Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 87 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 88 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2H2OLN_6",
         "title": "TES/Aura L2 H2O Lite Nadir V006",
@@ -173965,6 +178814,19 @@
         "description": "TL2H2OLN_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 H2O Lite Nadir Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and some other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters.  L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.  A Nadir sequence with in the TES Global Survey is two low resolution scans over the same ground locations. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions.  Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/special observations/ for details.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.  Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 87 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 88 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2H2OLN_7",
+        "title": "TES/Aura L2 Water Vapor Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609406-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609406-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2H2OLN_7",
+        "description": "TL2H2OLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2H2OLN_7",
         "title": "TES/Aura L2 Water Vapor Lite Nadir V007",
@@ -173978,6 +178840,19 @@
         "description": "TL2H2OLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2H2OLS_006",
+        "title": "TES/Aura L2 H2O Limb Special Observation V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609534-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609534-LARC_CLOUD.html",
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+        "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2H2OLS_006",
         "title": "TES/Aura L2 H2O Limb Special Observation V006",
@@ -173991,6 +178866,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2H2OL_006",
+        "title": "TES/Aura L2 H2O Limb V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609144-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609144-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2H2OL_006",
+        "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2H2OL_006",
         "title": "TES/Aura L2 H2O Limb V006",
@@ -174004,6 +178892,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2H2ONS_7",
+        "title": "TES/Aura L2 Water Vapor Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609809-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609809-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2H2ONS_7",
+        "description": "TL2H2ONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2H2ONS_7",
         "title": "TES/Aura L2 Water Vapor Nadir Special Observation V007",
@@ -174017,6 +178918,19 @@
         "description": "TL2H2ONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2H2ONS_8",
+        "title": "TES/Aura L2 Water Vapor Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609856-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609856-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2H2ONS_8",
+        "description": "TL2H2ONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Special Observation Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2H2ONS_8",
         "title": "TES/Aura L2 Water Vapor Nadir Special Observation V008",
@@ -174030,6 +178944,19 @@
         "description": "TL2H2ONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Special Observation Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2H2ON_7",
+        "title": "TES/Aura L2 Water Vapor Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609632-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609632-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2H2ON_7",
+        "description": "TL2H2ON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2H2ON_7",
         "title": "TES/Aura L2 Water Vapor Nadir V007",
@@ -174043,6 +178970,19 @@
         "description": "TL2H2ON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2H2ON_8",
+        "title": "TES/Aura L2 Water Vapor Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609728-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609728-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2H2ON_8",
+        "description": "TL2H2ON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2H2ON_8",
         "title": "TES/Aura L2 Water Vapor Nadir V008",
@@ -174069,6 +179009,19 @@
         "description": "TL2HCNNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Hydrogen Cyanide Nadir Special Observation Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HCNNS_8",
+        "title": "TES/Aura L2 Hydrogen Cyanide Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610041-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610041-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2HCNNS_8",
+        "description": "TL2HCNNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Hydrogen Cyanide Nadir Special Observation Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HCNN_8",
         "title": "TES/Aura L2 Hydrogen Cyanide Nadir V008",
@@ -174082,6 +179035,19 @@
         "description": "TL2HCNN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Hydrogen Cyanide Nadir Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported. The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/TES/DPS To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HCNN_8",
+        "title": "TES/Aura L2 Hydrogen Cyanide Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609933-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215609933-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2HCNN_8",
+        "description": "TL2HCNN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Hydrogen Cyanide Nadir Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported. The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/TES/DPS To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HDOLN_6",
         "title": "TES/Aura L2 HDO Lite Nadir V006",
@@ -174095,6 +179061,19 @@
         "description": "TL2HDOLN_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 HDO Lite Nadir Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and some other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.  A Nadir sequence with in the TES Global Survey is two low resolution scans over the same ground locations. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions.  Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.  Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 87 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 88 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HDOLN_6",
+        "title": "TES/Aura L2 HDO Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-31",
+        "end_date": "2015-09-30",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610195-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610195-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2HDOLN_6",
+        "description": "TL2HDOLN_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 HDO Lite Nadir Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and some other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.  A Nadir sequence with in the TES Global Survey is two low resolution scans over the same ground locations. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions.  Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.  Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 87 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 88 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HDOLN_7",
         "title": "TES/Aura L2 Deuterium Oxide Lite Nadir V007",
@@ -174108,6 +179087,19 @@
         "description": "TL2HDOLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HDOLN_7",
+        "title": "TES/Aura L2 Deuterium Oxide Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610255-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610255-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2HDOLN_7",
+        "description": "TL2HDOLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HDOLS_006",
         "title": "TES/Aura L2 HDO Limb Special Observation V006",
@@ -174121,6 +179113,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HDOLS_006",
+        "title": "TES/Aura L2 HDO Limb Special Observation V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610327-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610327-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2HDOLS_006",
+        "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HDOL_006",
         "title": "TES/Aura L2 HDO Limb V006",
@@ -174134,6 +179139,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HDOL_006",
+        "title": "TES/Aura L2 HDO Limb V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610111-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610111-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2HDOL_006",
+        "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HDONS_7",
         "title": "TES/Aura L2 Deuterium Oxide Nadir Special Observation V007",
@@ -174147,6 +179165,19 @@
         "description": "TL2HDONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HDONS_7",
+        "title": "TES/Aura L2 Deuterium Oxide Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610541-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610541-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2HDONS_7",
+        "description": "TL2HDONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HDONS_8",
         "title": "TES/Aura L2 Deuterium Oxide Nadir Special Observation V008",
@@ -174160,6 +179191,19 @@
         "description": "TL2HDONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HDONS_8",
+        "title": "TES/Aura L2 Deuterium Oxide Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610605-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610605-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2HDONS_8",
+        "description": "TL2HDONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HDON_7",
         "title": "TES/Aura L2 Deuterium Oxide Nadir V007",
@@ -174173,6 +179217,19 @@
         "description": "TL2HDON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HDON_7",
+        "title": "TES/Aura L2 Deuterium Oxide Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610411-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610411-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2HDON_7",
+        "description": "TL2HDON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HDON_8",
         "title": "TES/Aura L2 Deuterium Oxide Nadir V008",
@@ -174186,6 +179243,32 @@
         "description": "TL2HDON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HDON_8",
+        "title": "TES/Aura L2 Deuterium Oxide Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610473-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610473-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2HDON_8",
+        "description": "TL2HDON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2HNO3L_006",
+        "title": "TES/Aura L2 HNO3 Limb V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610646-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610646-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2HNO3L_006",
+        "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2HNO3L_006",
         "title": "TES/Aura L2 HNO3 Limb V006",
@@ -174212,6 +179295,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2HNO3S_006",
+        "title": "TES/Aura L2 HNO3 Limb Special Observation V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610675-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610675-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2HNO3S_006",
+        "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2IRKNS_7",
         "title": "TES/Aura L2 Instantaneous Radiative Kernel Nadir Special Observation V007",
@@ -174225,6 +179321,19 @@
         "description": "TL2IRKNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Instantaneous Radiative Kernel Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, it was possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this was a direct measure of the radiative role of ozone, which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2IRKNS_7",
+        "title": "TES/Aura L2 Instantaneous Radiative Kernel Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610750-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610750-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2IRKNS_7",
+        "description": "TL2IRKNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Instantaneous Radiative Kernel Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, it was possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this was a direct measure of the radiative role of ozone, which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2IRKNS_8",
         "title": "TES/Aura L2 Instantaneous Radiative Kernel Nadir Special Observation V008",
@@ -174238,6 +179347,19 @@
         "description": "TL2IRKNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Instantaneous Radiative Kernel Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, it was possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this was a direct measure of the radiative role of ozone, which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2IRKNS_8",
+        "title": "TES/Aura L2 Instantaneous Radiative Kernel Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610769-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610769-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2IRKNS_8",
+        "description": "TL2IRKNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Instantaneous Radiative Kernel Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, it was possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this was a direct measure of the radiative role of ozone, which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2IRKN_7",
         "title": "TES/Aura L2 Instantaneous Radiative Kernel Nadir V007",
@@ -174251,6 +179373,19 @@
         "description": "TL2IRKN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, made it possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this is a direct measure of the radiative role of ozone which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2IRKN_7",
+        "title": "TES/Aura L2 Instantaneous Radiative Kernel Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610700-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610700-LARC_CLOUD.html",
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+        "description": "TL2IRKN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, made it possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this is a direct measure of the radiative role of ozone which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2IRKN_8",
         "title": "TES/Aura L2 Instantaneous Radiative Kernel Nadir V008",
@@ -174264,6 +179399,32 @@
         "description": "TL2IRKN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, made it possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this is a direct measure of the radiative role of ozone which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2IRKN_8",
+        "title": "TES/Aura L2 Instantaneous Radiative Kernel Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610730-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610730-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2IRKN_8",
+        "description": "TL2IRKN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, made it possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this is a direct measure of the radiative role of ozone which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2MTLLN_6",
+        "title": "TES/Aura L2 Methanol Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610777-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610777-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2MTLLN_6",
+        "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2MTLLN_6",
         "title": "TES/Aura L2 Methanol Lite Nadir V006",
@@ -174290,6 +179451,19 @@
         "description": "TL2MTLLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Lite Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The TES Lite products were intended to simplify TES data usage including data/model and data/data comparisons. This product can be used for science analysis as each data product is fully characterized. The TES Lite products were also meant to facilitate use of TES data by end users by (1) aggregating product results by month (no averaging is applied), (2) reducing data dimensionality to the retrieved pressure levels, which results in a minimal reduction of information but reduces data sizes by 1/3 to 1/10, (3) applying known corrections quantified through validation campaigns (4) combining data from ancillary files and multiple TES product files that are needed for science analysis (particularly for CH4 and HDO), and (5) removing fields that are not typically used. For example, the HDO product also includes the H2O product; it contains the recommended bias correction for HDO, results are mapped to 18 pressures, and the averaging kernel and error covariances are packed together from the H2O, HDO, and ancillary individual product files into full matrices for easier use by modelers and for science analysis. The products include the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid to support cross-comparison between products and models. NH3 and CH4 contain Representative Tropospheric volume mixing ratio (RTVMR) fields (Payne et al. , 2009) that map the full profile to levels that are most representative of the atmosphere based on the altitude dependent sensitivity of the estimate.  TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2MTLLN_7",
+        "title": "TES/Aura L2 Methanol Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610787-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610787-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2MTLLN_7",
+        "description": "TL2MTLLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Lite Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The TES Lite products were intended to simplify TES data usage including data/model and data/data comparisons. This product can be used for science analysis as each data product is fully characterized. The TES Lite products were also meant to facilitate use of TES data by end users by (1) aggregating product results by month (no averaging is applied), (2) reducing data dimensionality to the retrieved pressure levels, which results in a minimal reduction of information but reduces data sizes by 1/3 to 1/10, (3) applying known corrections quantified through validation campaigns (4) combining data from ancillary files and multiple TES product files that are needed for science analysis (particularly for CH4 and HDO), and (5) removing fields that are not typically used. For example, the HDO product also includes the H2O product; it contains the recommended bias correction for HDO, results are mapped to 18 pressures, and the averaging kernel and error covariances are packed together from the H2O, HDO, and ancillary individual product files into full matrices for easier use by modelers and for science analysis. The products include the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid to support cross-comparison between products and models. NH3 and CH4 contain Representative Tropospheric volume mixing ratio (RTVMR) fields (Payne et al. , 2009) that map the full profile to levels that are most representative of the atmosphere based on the altitude dependent sensitivity of the estimate.  TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2MTLNS_7",
         "title": "TES/Aura L2 Methanol Nadir Special Observation V007",
@@ -174303,6 +179477,32 @@
         "description": "TL2MTLNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2MTLNS_7",
+        "title": "TES/Aura L2 Methanol Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610815-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610815-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2MTLNS_7",
+        "description": "TL2MTLNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2MTLNS_8",
+        "title": "TES/Aura L2 Methanol Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610822-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610822-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2MTLNS_8",
+        "description": "TL2MTLNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could have potentially contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2MTLNS_8",
         "title": "TES/Aura L2 Methanol Nadir Special Observation V008",
@@ -174316,6 +179516,19 @@
         "description": "TL2MTLNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could have potentially contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2MTLN_7",
+        "title": "TES/Aura L2 Methanol Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610806-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610806-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2MTLN_7",
+        "description": "TL2MTLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that were common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2MTLN_7",
         "title": "TES/Aura L2 Methanol Nadir V007",
@@ -174329,6 +179542,19 @@
         "description": "TL2MTLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that were common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2MTLN_8",
+        "title": "TES/Aura L2 Methanol Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610810-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610810-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgaGRvIGxpdGUgbmFkaXIgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwySERPTE5cIixcIjZcIiwzMjE1NjEwMTk1LDFdIn0%3D/TL2MTLN_8",
+        "description": "TL2MTLN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2MTLN_8",
         "title": "TES/Aura L2 Methanol Nadir V008",
@@ -174355,6 +179581,19 @@
         "description": "TL2N2ONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2N2ONS_7",
+        "title": "TES/Aura L2 Nitrous Oxide Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610936-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610936-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2N2ONS_7",
+        "description": "TL2N2ONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2N2ONS_8",
         "title": "TES/Aura L2 Nitrous Oxide Nadir Special Observation V008",
@@ -174368,6 +179607,19 @@
         "description": "TL2N2ONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Special Observation Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TTES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2N2ONS_8",
+        "title": "TES/Aura L2 Nitrous Oxide Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610974-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610974-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2N2ONS_8",
+        "description": "TL2N2ONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Special Observation Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TTES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2N2ON_7",
         "title": "TES/Aura L2 Nitrous Oxide Nadir V007",
@@ -174381,6 +179633,19 @@
         "description": "TL2N2ON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2N2ON_7",
+        "title": "TES/Aura L2 Nitrous Oxide Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610834-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610834-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2N2ON_7",
+        "description": "TL2N2ON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2N2ON_8",
         "title": "TES/Aura L2 Nitrous Oxide Nadir V008",
@@ -174394,6 +179659,19 @@
         "description": "TL2N2ON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Version 8 data product. It consists of information for one molecular species, Nitrous Oxide, for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2N2ON_8",
+        "title": "TES/Aura L2 Nitrous Oxide Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610863-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215610863-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2N2ON_8",
+        "description": "TL2N2ON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Version 8 data product. It consists of information for one molecular species, Nitrous Oxide, for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2NH3LN_006",
         "title": "TES/Aura L2 Ammonia Lite Nadir V006",
@@ -174407,6 +179685,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2NH3LN_006",
+        "title": "TES/Aura L2 Ammonia Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611009-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611009-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2NH3LN_006",
+        "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2NH3LN_7",
         "title": "TES/Aura L2 Ammonia Lite Nadir V007",
@@ -174420,6 +179711,19 @@
         "description": "TL2NH3LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2NH3LN_7",
+        "title": "TES/Aura L2 Ammonia Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611066-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611066-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2NH3LN_7",
+        "description": "TL2NH3LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2NH3NS_7",
         "title": "TES/Aura L2 Ammonia Nadir Special Observation V007",
@@ -174433,6 +179737,32 @@
         "description": "TL2NH3NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2NH3NS_7",
+        "title": "TES/Aura L2 Ammonia Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611413-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611413-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2NH3NS_7",
+        "description": "TL2NH3NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2NH3NS_8",
+        "title": "TES/Aura L2 Ammonia Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611501-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611501-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2NH3NS_8",
+        "description": "TL2NH3NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2NH3NS_8",
         "title": "TES/Aura L2 Ammonia Nadir Special Observation V008",
@@ -174446,6 +179776,19 @@
         "description": "TL2NH3NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2NH3N_7",
+        "title": "TES/Aura L2 Ammonia Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611211-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611211-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2NH3N_7",
+        "description": "TL2NH3N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2NH3N_7",
         "title": "TES/Aura L2 Ammonia Nadir V007",
@@ -174459,6 +179802,19 @@
         "description": "TL2NH3N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2NH3N_8",
+        "title": "TES/Aura L2 Ammonia Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611334-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611334-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIiwidW1tIjoiW1widGVtcG8gc29sYXIgaXJyYWRpYW5jZSAocmVmZXJlbmNlIGRpZmZ1c2VyKSB2MDIgKGJldGEpXCIsXCJMQVJDX0NMT1VEXCIsXCJURU1QT19JUlJSX0wxXCIsXCJ2MDJcIiwyODQyODUxMTgwLDhdIn0%3D/TL2NH3N_8",
+        "description": "TL2NH3N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could have potentially contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2NH3N_8",
         "title": "TES/Aura L2 Ammonia Nadir V008",
@@ -174498,6 +179854,19 @@
         "description": "The TES Aura L2 NO2 data consist of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions. Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/specialobservations/ for details. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/tes/DPS To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2O3LN_006",
+        "title": "TES/Aura L2 Ozone Lite Nadir V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611634-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611634-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2O3LN_006",
+        "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2O3LN_006",
         "title": "TES/Aura L2 Ozone Lite Nadir V006",
@@ -174511,6 +179880,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2O3LN_7",
+        "title": "TES/Aura L2 Ozone Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611677-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611677-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2O3LN_7",
+        "description": "TL2O3LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.    A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.     The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.    To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2O3LN_7",
         "title": "TES/Aura L2 Ozone Lite Nadir V007",
@@ -174524,6 +179906,19 @@
         "description": "TL2O3LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.    A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.     The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.    To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2O3LS_6",
+        "title": "TES/Aura L2 O3 Limb Special Observation V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2006-01-31",
+        "end_date": "2006-05-20",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611735-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611735-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2O3LS_6",
+        "description": "TL2O3LS_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 O3 Limb Special Observation Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2O3LS_6",
         "title": "TES/Aura L2 O3 Limb Special Observation V006",
@@ -174537,6 +179932,19 @@
         "description": "TL2O3LS_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 O3 Limb Special Observation Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2O3L_006",
+        "title": "TES/Aura L2 O3 Limb V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611589-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611589-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2O3L_006",
+        "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2O3L_006",
         "title": "TES/Aura L2 O3 Limb V006",
@@ -174563,6 +179971,32 @@
         "description": "TL2O3NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations used a single set of filter mix. A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations were a repeating sequence of filter wheel positions.   Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation wa the input for retrievals of species volume mixing ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2O3NS_7",
+        "title": "TES/Aura L2 Ozone Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611944-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611944-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2O3NS_7",
+        "description": "TL2O3NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations used a single set of filter mix. A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations were a repeating sequence of filter wheel positions.   Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation wa the input for retrievals of species volume mixing ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2O3NS_8",
+        "title": "TES/Aura L2 Ozone Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611998-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611998-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2O3NS_8",
+        "description": "TL2O3NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2O3NS_8",
         "title": "TES/Aura L2 Ozone Nadir Special Observation V008",
@@ -174576,6 +180010,19 @@
         "description": "TL2O3NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2O3N_7",
+        "title": "TES/Aura L2 Ozone Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611800-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611800-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2O3N_7",
+        "description": "TL2O3N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2O3N_7",
         "title": "TES/Aura L2 Ozone Nadir V007",
@@ -174589,6 +180036,19 @@
         "description": "TL2O3N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2O3N_8",
+        "title": "TES/Aura L2 Ozone Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611853-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215611853-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2O3N_8",
+        "description": "TL2O3N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2O3N_8",
         "title": "TES/Aura L2 Ozone Nadir V008",
@@ -174602,6 +180062,19 @@
         "description": "TL2O3N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2OCSLN_7",
+        "title": "TES/Aura L2 Carbonyl Sulfide Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612074-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612074-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2OCSLN_7",
+        "description": "TL2OCSLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbonyl Sulfide Lite Nadir Version 7 data product.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2OCSLN_7",
         "title": "TES/Aura L2 Carbonyl Sulfide Lite Nadir V007",
@@ -174615,6 +180088,19 @@
         "description": "TL2OCSLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbonyl Sulfide Lite Nadir Version 7 data product.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2OCSNS_7",
+        "title": "TES/Aura L2 Carbonyl Sulfide Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612262-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612262-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2OCSNS_7",
+        "description": "TL2OCSNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2OCSNS_7",
         "title": "TES/Aura L2 Carbonyl Sulfide Nadir Special Observation V007",
@@ -174628,6 +180114,19 @@
         "description": "TL2OCSNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2OCSNS_8",
+        "title": "TES/Aura L2 Carbonyl Sulfide Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612343-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612343-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2OCSNS_8",
+        "description": "TL2OCSNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2OCSNS_8",
         "title": "TES/Aura L2 Carbonyl Sulfide Nadir Special Observation V008",
@@ -174641,6 +180140,19 @@
         "description": "TL2OCSNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2OCSN_7",
+        "title": "TES/Aura L2 Carbonyl Sulfide Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612143-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612143-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2OCSN_7",
+        "description": "TL2OCSN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.   TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2OCSN_7",
         "title": "TES/Aura L2 Carbonyl Sulfide Nadir V007",
@@ -174654,6 +180166,19 @@
         "description": "TL2OCSN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.   TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2OCSN_8",
+        "title": "TES/Aura L2 Carbonyl Sulfide Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612183-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612183-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgY2FyYm9ueWwgc3VsZmlkZSBuYWRpciBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMk9DU05TXCIsXCI3XCIsMzIxNTYxMjI2MiwxXSIsInVtbSI6IltcInRlcy9hdXJhIGwyIGNhcmJvbnlsIHN1bGZpZGUgbmFkaXIgc3BlY2lhbCBvYnNlcnZhdGlvbiB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJPQ1NOU1wiLFwiN1wiLDMyMTU2MTIyNjIsMV0ifQ%3D%3D/TL2OCSN_8",
+        "description": "TL2OCSN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.   TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2OCSN_8",
         "title": "TES/Aura L2 Carbonyl Sulfide Nadir V008",
@@ -174680,6 +180205,32 @@
         "description": "TL2PANLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2PANLN_7",
+        "title": "TES/Aura L2 Peroxyacyl Nitrate Lite Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612409-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612409-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2PANLN_7",
+        "description": "TL2PANLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2PANNS_7",
+        "title": "TES/Aura L2 Peroxyacyl Nitrate Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612555-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612555-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2PANNS_7",
+        "description": "TL2PANNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2PANNS_7",
         "title": "TES/Aura L2 Peroxyacyl Nitrate Nadir Special Observation V007",
@@ -174706,6 +180257,32 @@
         "description": "TL2PANNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2PANNS_8",
+        "title": "TES/Aura L2 Peroxyacyl Nitrate Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612571-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612571-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2PANNS_8",
+        "description": "TL2PANNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2PANN_7",
+        "title": "TES/Aura L2 Peroxyacyl Nitrate Nadir V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612461-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612461-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2PANN_7",
+        "description": "TL2PANN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.  TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2PANN_7",
         "title": "TES/Aura L2 Peroxyacyl Nitrate Nadir V007",
@@ -174732,6 +180309,19 @@
         "description": "TL2PANN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2PANN_8",
+        "title": "TES/Aura L2 Peroxyacyl Nitrate Nadir V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612510-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612510-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2PANN_8",
+        "description": "TL2PANN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2RHLN_7",
         "title": "TES/Aura L2 Relative Humidity Lite Nadir",
@@ -174745,6 +180335,19 @@
         "description": "TL2RHLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2RHLN_7",
+        "title": "TES/Aura L2 Relative Humidity Lite Nadir",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-01",
+        "end_date": "2015-12-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612587-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612587-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2RHLN_7",
+        "description": "TL2RHLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2SUMS_7",
         "title": "TES/Aura L2 Summary Profiles Special Observation V007",
@@ -174758,6 +180361,19 @@
         "description": "TL2SUMS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. Each orbit, the spacecraft advanced 22\u00b0 westward and, after 233 orbits (16 days) it was back to its starting point. This product contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori constraint vectors.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2SUMS_7",
+        "title": "TES/Aura L2 Summary Profiles Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612604-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612604-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2SUMS_7",
+        "description": "TL2SUMS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. Each orbit, the spacecraft advanced 22\u00b0 westward and, after 233 orbits (16 days) it was back to its starting point. This product contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2SUMS_8",
         "title": "TES/Aura L2 Summary Profiles Special Observation V008",
@@ -174771,6 +180387,19 @@
         "description": "TL2SUMS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits, over which 3,200 retrievals were performed.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2SUMS_8",
+        "title": "TES/Aura L2 Summary Profiles Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612609-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612609-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgbWV0aGFub2wgbmFkaXIgdjAwOFwiLFwiTEFSQ19DTE9VRFwiLFwiVEwyTVRMTlwiLFwiOFwiLDMyMTU2MTA4MTAsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBtZXRoYW5vbCBuYWRpciB2MDA4XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJNVExOXCIsXCI4XCIsMzIxNTYxMDgxMCwxXSJ9/TL2SUMS_8",
+        "description": "TL2SUMS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits, over which 3,200 retrievals were performed.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2SUM_7",
         "title": "TES/Aura L2 Summary Profiles V007",
@@ -174784,6 +180413,19 @@
         "description": "TL2SUM_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Summary Profiles Version 7 data product. It contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and priori constraint vectors.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2SUM_7",
+        "title": "TES/Aura L2 Summary Profiles V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612593-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612593-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2SUM_7",
+        "description": "TL2SUM_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Summary Profiles Version 7 data product. It contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and priori constraint vectors.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2SUM_8",
         "title": "TES/Aura L2 Summary Profiles V008",
@@ -174797,6 +180439,19 @@
         "description": "TL2SUM_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Summary Profiles Version 8 data product. It contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and priori constraint vectors.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.    A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2SUM_8",
+        "title": "TES/Aura L2 Summary Profiles V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612597-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612597-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2SUM_8",
+        "description": "TL2SUM_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Summary Profiles Version 8 data product. It contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and priori constraint vectors.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.    A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2SUPS_7",
         "title": "TES/Aura L2 Supplemental Profiles Special Observation V007",
@@ -174810,6 +180465,32 @@
         "description": "TL2SUPS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2SUPS_7",
+        "title": "TES/Aura L2 Supplemental Profiles Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612668-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612668-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2SUPS_7",
+        "description": "TL2SUPS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL2SUPS_8",
+        "title": "TES/Aura L2 Supplemental Profiles Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612710-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612710-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2SUPS_8",
+        "description": "TL2SUPS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2SUPS_8",
         "title": "TES/Aura L2 Supplemental Profiles Special Observation V008",
@@ -174823,6 +180504,19 @@
         "description": "TL2SUPS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2SUP_7",
+        "title": "TES/Aura L2 Supplemental Profiles V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612611-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612611-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2SUP_7",
+        "description": "TL2SUP_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. After each orbit, the spacecraft advanced 22\u00b0 westward. After 233 orbits (16 days) it was then back to its starting point. This product contains input data to the TES radiance forward model. These were profiles generated from climatology databases to be used in the forward model calculation but are not retrieved parameters. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters.   Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits, over which 3,200 retrievals were performed.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2SUP_7",
         "title": "TES/Aura L2 Supplemental Profiles V007",
@@ -174836,6 +180530,19 @@
         "description": "TL2SUP_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. After each orbit, the spacecraft advanced 22\u00b0 westward. After 233 orbits (16 days) it was then back to its starting point. This product contains input data to the TES radiance forward model. These were profiles generated from climatology databases to be used in the forward model calculation but are not retrieved parameters. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters.   Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits, over which 3,200 retrievals were performed.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2SUP_8",
+        "title": "TES/Aura L2 Supplemental Profiles V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612620-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612620-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL2SUP_8",
+        "description": "TL2SUP_8 is the the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Version 8 data product. It contains input data to the TES radiance forward model. These were profiles generated from climatology databases to be used in the forward model calculation but are not retrieved parameters. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations.\u201d  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2SUP_8",
         "title": "TES/Aura L2 Supplemental Profiles V008",
@@ -174862,6 +180569,19 @@
         "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2TLS_006",
+        "title": "TES/Aura L2 Atmospheric Temperatures Limb Special Observation V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612766-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612766-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2TLS_006",
+        "description": "Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2TNS_7",
         "title": "TES/Aura L2 Atmospheric Temperatures Nadir Special Observation V007",
@@ -174875,6 +180595,19 @@
         "description": "TL2TNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and priori constraint vectors. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2TNS_7",
+        "title": "TES/Aura L2 Atmospheric Temperatures Nadir Special Observation V007",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612831-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612831-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2TNS_7",
+        "description": "TL2TNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and priori constraint vectors. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
     {
         "id": "TL2TNS_8",
         "title": "TES/Aura L2 Atmospheric Temperatures Nadir Special Observation V008",
@@ -174888,6 +180621,32 @@
         "description": "TL2TNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and priori constraint vectors. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
         "license": "proprietary"
     },
+    {
+        "id": "TL2TNS_8",
+        "title": "TES/Aura L2 Atmospheric Temperatures Nadir Special Observation V008",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-13",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612883-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612883-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgYXRtb3NwaGVyaWMgdGVtcGVyYXR1cmUgbGl0ZSBuYWRpciB2MDA3XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDJBVE1MTlwiLFwiN1wiLDMyMTU2MDcyMDIsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMiBhdG1vc3BoZXJpYyB0ZW1wZXJhdHVyZSBsaXRlIG5hZGlyIHYwMDdcIixcIkxBUkNfQ0xPVURcIixcIlRMMkFUTUxOXCIsXCI3XCIsMzIxNTYwNzIwMiwxXSJ9/TL2TNS_8",
+        "description": "TL2TNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and priori constraint vectors. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as \u201cspecial observations\u201d  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3ATD_004",
+        "title": "TES/Aura L3 Atmospheric Temperatures Daily Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612903-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612903-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3ATD_004",
+        "description": "The TES Aura L3 ATD data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
+        "license": "proprietary"
+    },
     {
         "id": "TL3ATD_5",
         "title": "TES/Aura L3 Atmospheric Temperatures Daily Gridded V005",
@@ -174901,6 +180660,32 @@
         "description": "TL3ATD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Daily Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3ATD_5",
+        "title": "TES/Aura L3 Atmospheric Temperatures Daily Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-18",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612907-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612907-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3ATD_5",
+        "description": "TL3ATD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Daily Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3ATD_6",
+        "title": "TES/Aura L3 Atmospheric Temperature Daily Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612913-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612913-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3ATD_6",
+        "description": "TL3ATD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Daily Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3ATD_6",
         "title": "TES/Aura L3 Atmospheric Temperature Daily Gridded V006",
@@ -174914,6 +180699,19 @@
         "description": "TL3ATD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Daily Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3ATM_004",
+        "title": "TES/Aura L3 Atmospheric Temperatures Monthly Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612921-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612921-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3ATM_004",
+        "description": "The TES Aura L3 ATD data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms 'Daily' and 'Monthly' representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are 'daily' and 'monthly'. L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/tes/DPS",
+        "license": "proprietary"
+    },
     {
         "id": "TL3ATM_004",
         "title": "TES/Aura L3 Atmospheric Temperatures Monthly Gridded V004",
@@ -174927,6 +180725,19 @@
         "description": "The TES Aura L3 ATD data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms 'Daily' and 'Monthly' representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are 'daily' and 'monthly'. L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/tes/DPS",
         "license": "proprietary"
     },
+    {
+        "id": "TL3ATM_5",
+        "title": "TES/Aura L3 Atmospheric Temperatures Monthly Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-24",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612926-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612926-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3ATM_5",
+        "description": "TL3ATM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3ATM_5",
         "title": "TES/Aura L3 Atmospheric Temperatures Monthly Gridded V005",
@@ -174940,6 +180751,19 @@
         "description": "TL3ATM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3ATM_6",
+        "title": "TES/Aura L3 Atmospheric Temperature Monthly Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612932-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612932-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3ATM_6",
+        "description": "TL3ATM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3ATM_6",
         "title": "TES/Aura L3 Atmospheric Temperature Monthly Gridded V006",
@@ -174953,6 +180777,32 @@
         "description": "TL3ATM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3CH4D_004",
+        "title": "TES/Aura L3 CH4 Daily Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612941-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612941-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3CH4D_004",
+        "description": "The TES Aura L3 CH4 data consist of daily averages of atmospheric Methane for atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms \"Daily\" and \"Monthly\" representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are \"daily\" and \"monthly\". L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3CH4D_5",
+        "title": "TES/Aura L3 Methane Daily Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-18",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612943-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612943-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3CH4D_5",
+        "description": "TL3CH4D_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3CH4D_5",
         "title": "TES/Aura L3 Methane Daily Gridded V005",
@@ -174979,6 +180829,32 @@
         "description": "TL3CH4D_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3CH4D_6",
+        "title": "TES/Aura L3 Methane Daily Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612945-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612945-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3CH4D_6",
+        "description": "TL3CH4D_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3CH4M_004",
+        "title": "TES/Aura L3 CH4 Monthly Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612947-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612947-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3CH4M_004",
+        "description": "The TES Aura L3 CH4 data consist of monthly averages of atmospheric Methane for atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms 'Daily' and 'Monthly' representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are 'daily' and 'monthly'. L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
+        "license": "proprietary"
+    },
     {
         "id": "TL3CH4M_004",
         "title": "TES/Aura L3 CH4 Monthly Gridded V004",
@@ -175005,6 +180881,19 @@
         "description": "TL3CH4M_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Monthly Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, methane, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3CH4M_5",
+        "title": "TES/Aura L3 Methane Monthly Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-24",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612948-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612948-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3CH4M_5",
+        "description": "TL3CH4M_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Monthly Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, methane, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3CH4M_6",
         "title": "TES/Aura L3 Methane Monthly Gridded V006",
@@ -175018,6 +180907,19 @@
         "description": "TL3CH4M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Monthly Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, methane, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3CH4M_6",
+        "title": "TES/Aura L3 Methane Monthly Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-31",
+        "bbox": "-180, -82, 180, 82",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612951-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612951-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3CH4M_6",
+        "description": "TL3CH4M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Monthly Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, methane, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3CO2LM_3",
         "title": "TES/Aura L3 CO2 Lite Monthly Gridded V003",
@@ -175044,6 +180946,32 @@
         "description": "The TES Aura L3 CO2 data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
         "license": "proprietary"
     },
+    {
+        "id": "TL3COD_4",
+        "title": "TES/Aura L3 CO Daily Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2020-11-20",
+        "bbox": "-180, -82, 180, 82",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612958-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612958-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3COD_4",
+        "description": "Tropospheric Emission Spectrometer (TES) Aura L3 Carbon Monoxide (CO) Daily Gridded (TL3COD) data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated with in that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3COD_5",
+        "title": "TES/Aura L3 Carbon Monoxide Daily Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-18",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612969-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612969-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3COD_5",
+        "description": "TL3COD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level3 Carbon Monoxide Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and VMR for the atmospheric species, carbon monoxide, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3COD_5",
         "title": "TES/Aura L3 Carbon Monoxide Daily Gridded V005",
@@ -175057,6 +180985,19 @@
         "description": "TL3COD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level3 Carbon Monoxide Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and VMR for the atmospheric species, carbon monoxide, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3COD_6",
+        "title": "TES/Aura L3 Carbon Monoxide Daily Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612971-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612971-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3COD_6",
+        "description": "TL3COD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level3 Carbon Monoxide Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and VMR for the atmospheric species, carbon monoxide, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3COD_6",
         "title": "TES/Aura L3 Carbon Monoxide Daily Gridded V006",
@@ -175070,6 +181011,19 @@
         "description": "TL3COD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level3 Carbon Monoxide Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and VMR for the atmospheric species, carbon monoxide, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3COM_003",
+        "title": "TES/Aura L3 CO Monthly Gridded V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612979-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612979-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3COM_003",
+        "description": "Monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3COM_003",
         "title": "TES/Aura L3 CO Monthly Gridded V003",
@@ -175096,6 +181050,58 @@
         "description": "TL3COM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Carbon Monoxide Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric carbon monoxide species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3COM_5",
+        "title": "TES/Aura L3 Carbon Monoxide Monthly Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-24",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612995-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215612995-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDIgc3VtbWFyeSBwcm9maWxlcyBzcGVjaWFsIG9ic2VydmF0aW9uIHYwMDhcIixcIkxBUkNfQ0xPVURcIixcIlRMMlNVTVNcIixcIjhcIiwzMjE1NjEyNjA5LDFdIn0%3D/TL3COM_5",
+        "description": "TL3COM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Carbon Monoxide Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric carbon monoxide species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3COM_6",
+        "title": "TES/Aura L3 Carbon Monoxide Monthly Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-31",
+        "bbox": "-180, -82, 180, 82",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613001-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613001-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3COM_6",
+        "description": "TL3COM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Carbon Monoxide Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric carbon monoxide species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3H2OD_4",
+        "title": "TES/Aura L3 H2O Daily Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2020-11-20",
+        "bbox": "-180, -82, 180, 82",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613020-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613020-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3H2OD_4",
+        "description": "Tropospheric Emission Spectrometer (TES) Aura L3 Water Vapor (H20) Daily Gridded (TL3H2OD) data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated with in that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3H2OD_5",
+        "title": "TES/Aura L3 Water Vapor Daily Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-18",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613034-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613034-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3H2OD_5",
+        "description": "TL3H2OD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the water vapor atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3H2OD_5",
         "title": "TES/Aura L3 Water Vapor Daily Gridded V005",
@@ -175109,6 +181115,19 @@
         "description": "TL3H2OD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the water vapor atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3H2OD_6",
+        "title": "TES/Aura L3 Water Vapor Daily Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613042-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613042-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3H2OD_6",
+        "description": "TL3H2OD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the water vapor atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3H2OD_6",
         "title": "TES/Aura L3 Water Vapor Daily Gridded V006",
@@ -175122,6 +181141,19 @@
         "description": "TL3H2OD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the water vapor atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3H2OM_3",
+        "title": "TES/Aura L3 H2O Monthly Gridded V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613076-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613076-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3H2OM_3",
+        "description": "The TES Aura L3 H2O data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
+        "license": "proprietary"
+    },
     {
         "id": "TL3H2OM_4",
         "title": "TES/Aura L3 H2O Monthly Gridded V004",
@@ -175135,6 +181167,32 @@
         "description": "TL3H2OM_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3H2OM_4",
+        "title": "TES/Aura L3 H2O Monthly Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2012-11-11",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613142-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613142-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3H2OM_4",
+        "description": "TL3H2OM_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3H2OM_5",
+        "title": "TES/Aura L3 Water Vapor Monthly Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-24",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613233-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613233-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3H2OM_5",
+        "description": "TL3H2OM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3H2OM_5",
         "title": "TES/Aura L3 Water Vapor Monthly Gridded V005",
@@ -175148,6 +181206,19 @@
         "description": "TL3H2OM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3H2OM_6",
+        "title": "TES/Aura L3 Water Vapor Monthly Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613349-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613349-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3H2OM_6",
+        "description": "TL3H2OM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3H2OM_6",
         "title": "TES/Aura L3 Water Vapor Monthly Gridded V006",
@@ -175161,6 +181232,32 @@
         "description": "TL3H2OM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3HDOD_4",
+        "title": "TES/Aura L3 HDO Daily Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2020-11-20",
+        "bbox": "-180, -82, 180, 82",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613532-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613532-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HDOD_4",
+        "description": "Tropospheric Emission Spectrometer (TES) Aura L3 Deuterium Oxide (HDO) Daily Gridded (TL3HDOD) data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated with in that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3HDOD_5",
+        "title": "TES/Aura L3 Deuterium Oxide Daily Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-18",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613687-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613687-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HDOD_5",
+        "description": "TL3HDOD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 (L3) 3 Deuterium Oxide Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the deuterium oxide atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3HDOD_5",
         "title": "TES/Aura L3 Deuterium Oxide Daily Gridded V005",
@@ -175187,6 +181284,32 @@
         "description": "TL3HDOD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 (L3) 3 Deuterium Oxide Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the deuterium oxide atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3HDOD_6",
+        "title": "TES/Aura L3 Deuterium Oxide Daily Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613782-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613782-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HDOD_6",
+        "description": "TL3HDOD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 (L3) 3 Deuterium Oxide Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the deuterium oxide atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3HDOM_4",
+        "title": "TES/Aura L3 HDO Monthly Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2012-11-11",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613877-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613877-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HDOM_4",
+        "description": "TL3HDOM_4 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
+        "license": "proprietary"
+    },
     {
         "id": "TL3HDOM_4",
         "title": "TES/Aura L3 HDO Monthly Gridded V004",
@@ -175213,6 +181336,19 @@
         "description": "TL3HDOM_5 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
         "license": "proprietary"
     },
+    {
+        "id": "TL3HDOM_5",
+        "title": "TES/Aura L3 Deuterium Oxide Monthly Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-24",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613970-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215613970-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HDOM_5",
+        "description": "TL3HDOM_5 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
+        "license": "proprietary"
+    },
     {
         "id": "TL3HDOM_6",
         "title": "TES/Aura L3 Deuterium Oxide Monthly Gridded V006",
@@ -175226,6 +181362,32 @@
         "description": "TL3HDOM_6 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
         "license": "proprietary"
     },
+    {
+        "id": "TL3HDOM_6",
+        "title": "TES/Aura L3 Deuterium Oxide Monthly Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614046-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614046-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HDOM_6",
+        "description": "TL3HDOM_6 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
+        "license": "proprietary"
+    },
+    {
+        "id": "TL3HNOD_4",
+        "title": "TES/Aura L3 HNO3 Daily Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2005-04-10",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614124-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614124-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HNOD_4",
+        "description": "TL3HNOD_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. Each orbit, the spacecraft advanced 22\u00b0 westward and, after 233 orbits (16 days) it was back to its starting point. TES/Aura L3 HNO3 Daily Gridded V004 measures daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degrees latitude by 4 degrees longitude spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES Level 3 data will be provided in the data files.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3HNOD_4",
         "title": "TES/Aura L3 HNO3 Daily Gridded V004",
@@ -175239,6 +181401,19 @@
         "description": "TL3HNOD_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. Each orbit, the spacecraft advanced 22\u00b0 westward and, after 233 orbits (16 days) it was back to its starting point. TES/Aura L3 HNO3 Daily Gridded V004 measures daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degrees latitude by 4 degrees longitude spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES Level 3 data will be provided in the data files.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3HNOM_4",
+        "title": "TES/Aura L3 HNO3 Monthly Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2005-03-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614220-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614220-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIiwidW1tIjoiW1widGVzL2F1cmEgbDMgY2FyYm9uIG1vbm94aWRlIG1vbnRobHkgZ3JpZGRlZCB2MDA1XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDT01cIixcIjVcIiwzMjE1NjEyOTk1LDFdIn0%3D/TL3HNOM_4",
+        "description": "TL3HNOM_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 4 data product. It consists of monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.",
+        "license": "proprietary"
+    },
     {
         "id": "TL3HNOM_4",
         "title": "TES/Aura L3 HNO3 Monthly Gridded V004",
@@ -175252,6 +181427,19 @@
         "description": "TL3HNOM_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 4 data product. It consists of monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.",
         "license": "proprietary"
     },
+    {
+        "id": "TL3O3D_004",
+        "title": "TES/Aura L3 O3 Daily Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614279-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614279-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3O3D_004",
+        "description": "The TES Aura L3 O3 data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS",
+        "license": "proprietary"
+    },
     {
         "id": "TL3O3D_5",
         "title": "TES/Aura L3 Ozone Daily Gridded V005",
@@ -175265,6 +181453,19 @@
         "description": "TL3O3D_5 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Ozone Daily Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species.   TES obtains data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are completed Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceeded the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
         "license": "proprietary"
     },
+    {
+        "id": "TL3O3D_5",
+        "title": "TES/Aura L3 Ozone Daily Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-18",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614372-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614372-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3O3D_5",
+        "description": "TL3O3D_5 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Ozone Daily Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species.   TES obtains data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are completed Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceeded the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
+        "license": "proprietary"
+    },
     {
         "id": "TL3O3D_6",
         "title": "TES/Aura L3 Ozone Daily Gridded V006",
@@ -175278,6 +181479,19 @@
         "description": "TL3O3D_6 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Ozone Daily Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species.   TES obtains data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are completed Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceeded the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
         "license": "proprietary"
     },
+    {
+        "id": "TL3O3D_6",
+        "title": "TES/Aura L3 Ozone Daily Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614457-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614457-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3O3D_6",
+        "description": "TL3O3D_6 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Ozone Daily Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species.   TES obtains data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are completed Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceeded the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
+        "license": "proprietary"
+    },
     {
         "id": "TL3O3M_4",
         "title": "TES/Aura L3 O3 Monthly Gridded V004",
@@ -175291,6 +181505,19 @@
         "description": "TL3O3M_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
         "license": "proprietary"
     },
+    {
+        "id": "TL3O3M_4",
+        "title": "TES/Aura L3 O3 Monthly Gridded V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2012-11-11",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614521-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614521-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3O3M_4",
+        "description": "TL3O3M_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
+        "license": "proprietary"
+    },
     {
         "id": "TL3O3M_5",
         "title": "TES/Aura L3 Ozone Monthly Gridded V005",
@@ -175304,6 +181531,19 @@
         "description": "TL3O3M_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
         "license": "proprietary"
     },
+    {
+        "id": "TL3O3M_5",
+        "title": "TES/Aura L3 Ozone Monthly Gridded V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-24",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614587-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614587-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3O3M_5",
+        "description": "TL3O3M_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
+        "license": "proprietary"
+    },
     {
         "id": "TL3O3M_6",
         "title": "TES/Aura L3 Ozone Monthly Gridded V006",
@@ -175317,6 +181557,19 @@
         "description": "TL3O3M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
         "license": "proprietary"
     },
+    {
+        "id": "TL3O3M_6",
+        "title": "TES/Aura L3 Ozone Monthly Gridded V006",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-09-03",
+        "end_date": "2018-01-31",
+        "bbox": "-180, -82, 180, 82",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614658-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614658-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TL3O3M_6",
+        "description": "TL3O3M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).",
+        "license": "proprietary"
+    },
     {
         "id": "TLS_Lidar_BlueFlux_Mangroves_2311_1",
         "title": "Blueflux: Terrestrial Lidar Scans of Mangrove Forests, Everglades, FL, USA, 2022-2023",
@@ -175326,7 +181579,7 @@
         "bbox": "-81.08, 25.14, -80.9, 25.38",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3170821246-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3170821246-ORNL_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYmlvbWFzcyBhbGxvY2F0aW9uIGFuZCBncm93dGggZGF0YSBvZiBzZWVkZWQgcGxhbnRzXCIsXCJPUk5MX0NMT1VEXCIsXCJiaW9tYXNzX2FsbG9jYXRpb25fNzAzXCIsXCIxXCIsMjc4NDM4MzI4MSwzXSIsInVtbSI6IltcImJpb21hc3MgYWxsb2NhdGlvbiBhbmQgZ3Jvd3RoIGRhdGEgb2Ygc2VlZGVkIHBsYW50c1wiLFwiT1JOTF9DTE9VRFwiLFwiYmlvbWFzc19hbGxvY2F0aW9uXzcwM1wiLFwiMVwiLDI3ODQzODMyODEsM10ifQ%3D%3D/TLS_Lidar_BlueFlux_Mangroves_2311_1",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYmlvbWFzcyBvZiBzYWNyaWZpY2VkIHNwcnVjZS9hc3BlbiAoc25mKVwiLFwiT1JOTF9DTE9VRFwiLFwiU05GX0JJT01BU1NfMTQxXCIsXCIxXCIsMjg4NDk3MTg1NiwyXSIsInVtbSI6IltcImJpb21hc3Mgb2Ygc2FjcmlmaWNlZCBzcHJ1Y2UvYXNwZW4gKHNuZilcIixcIk9STkxfQ0xPVURcIixcIlNORl9CSU9NQVNTXzE0MVwiLFwiMVwiLDI4ODQ5NzE4NTYsMl0ifQ%3D%3D/TLS_Lidar_BlueFlux_Mangroves_2311_1",
         "description": "This dataset contains point clouds of three-dimensional (3D) mangrove forest structure and volume collected from 10 sites in Everglades National Park, Florida. Data were collected during NASA CMS \"Blueflux\" campaigns in March 2022, October 2022, and March 2023. Products were acquired using a RIEGL VZ-400i terrestrial laser scanner (TLS). TLS is a non-destructive and quantitative method for in situ 3D forest structure measuring and monitoring. Data are provided in LAS (*.las) format.",
         "license": "proprietary"
     },
@@ -175369,6 +181622,45 @@
         "description": "TML2COS_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 2 data product. It consists of atmospheric vertical profile estimates and associated errors derived using TES and MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.",
         "license": "proprietary"
     },
+    {
+        "id": "TML2COS_2",
+        "title": "TES/MLS Aura L2 Carbon Monoxide Special Observation V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2005-08-24",
+        "end_date": "2017-11-15",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614771-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614771-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TML2COS_2",
+        "description": "TML2COS_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 2 data product. It consists of atmospheric vertical profile estimates and associated errors derived using TES and MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TML2CO_001",
+        "title": "TES/MLS Aura L2 CO V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614695-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614695-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TML2CO_001",
+        "description": "Atmospheric vertical profile estimates and associated errors derived using TES & MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
+    {
+        "id": "TML2CO_2",
+        "title": "TES/MLS Aura L2 Carbon Monoxide V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2005-07-26",
+        "end_date": "2017-11-13",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614731-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614731-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TML2CO_2",
+        "description": "TML2CO_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 2 data product. It consists of atmospheric vertical profile estimates and associated errors derived using TES and MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.",
+        "license": "proprietary"
+    },
     {
         "id": "TML2CO_2",
         "title": "TES/MLS Aura L2 Carbon Monoxide V002",
@@ -175421,6 +181713,19 @@
         "description": "TOL2O3S_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 (L2) Atmospheric Temperatures Limb Version 2 data product. It was derived from TES nadir and Ozone Monitoring Instrument (OMI) hyper-spectral measurements from the Aura satellite to jointly estimate an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared measurements being largely sensitive to lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile was a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product, using TES and OMI processing results, provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.",
         "license": "proprietary"
     },
+    {
+        "id": "TOL2O3S_2",
+        "title": "TES/OMI Aura L2 Ozone Special Observation V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-10-16",
+        "end_date": "2015-10-22",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614855-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614855-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TOL2O3S_2",
+        "description": "TOL2O3S_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 (L2) Atmospheric Temperatures Limb Version 2 data product. It was derived from TES nadir and Ozone Monitoring Instrument (OMI) hyper-spectral measurements from the Aura satellite to jointly estimate an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared measurements being largely sensitive to lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile was a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product, using TES and OMI processing results, provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.",
+        "license": "proprietary"
+    },
     {
         "id": "TOL2O3S_3",
         "title": "TES/Aura TES-OMI L2 Ozone Nadir Special Observation V003",
@@ -175434,6 +181739,19 @@
         "description": "TOL2O3S_3 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 (L2) Atmospheric Temperatures Limb Version 3 data product. It was derived from TES nadir and Ozone Monitoring Instrument (OMI) hyper-spectral measurements from the Aura satellite to jointly estimate an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared measurements being largely sensitive to lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile was a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product, using TES and OMI processing results, provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.",
         "license": "proprietary"
     },
+    {
+        "id": "TOL2O3S_3",
+        "title": "TES/Aura TES-OMI L2 Ozone Nadir Special Observation V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614982-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614982-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TOL2O3S_3",
+        "description": "TOL2O3S_3 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 (L2) Atmospheric Temperatures Limb Version 3 data product. It was derived from TES nadir and Ozone Monitoring Instrument (OMI) hyper-spectral measurements from the Aura satellite to jointly estimate an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared measurements being largely sensitive to lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile was a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product, using TES and OMI processing results, provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.",
+        "license": "proprietary"
+    },
     {
         "id": "TOL2O3_2",
         "title": "TES/OMI Aura L2 Ozone V002",
@@ -175447,6 +181765,19 @@
         "description": "TOL2O3_2 is the Tropospheric Emission Spectrometer (TES)/Ozone Monitoring Instrument (OMI) Level 2 Ozone (O3) Nadir Version 2 data product. It was derived from TES Nadir and OMI hyper-spectral measurements from the Aura satellite and jointly estimated an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.  TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared (IR) measurements being largely sensitive to the lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir, which point directly to the surface of the Earth, and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile had a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product used TES and OMI processing results and provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.",
         "license": "proprietary"
     },
+    {
+        "id": "TOL2O3_2",
+        "title": "TES/OMI Aura L2 Ozone V002",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-10-09",
+        "end_date": "2009-01-23",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614834-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614834-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TOL2O3_2",
+        "description": "TOL2O3_2 is the Tropospheric Emission Spectrometer (TES)/Ozone Monitoring Instrument (OMI) Level 2 Ozone (O3) Nadir Version 2 data product. It was derived from TES Nadir and OMI hyper-spectral measurements from the Aura satellite and jointly estimated an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.  TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared (IR) measurements being largely sensitive to the lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir, which point directly to the surface of the Earth, and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile had a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product used TES and OMI processing results and provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.",
+        "license": "proprietary"
+    },
     {
         "id": "TOL2O3_3",
         "title": "TES/Aura TES-OMI L2 Ozone Nadir V003",
@@ -175460,6 +181791,19 @@
         "description": "TOL2O3_3 is the Tropospheric Emission Spectrometer (TES)/Ozone Monitoring Instrument (OMI) Level 2 Ozone (O3) Nadir Version 3 data product. It was derived from TES Nadir and OMI hyper-spectral measurements from the Aura satellite and jointly estimated an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.  TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared (IR) measurements being largely sensitive to the lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir, which point directly to the surface of the Earth, and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfereed with that from O3. This combined O3 profile had a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product used TES and OMI processing results and provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.",
         "license": "proprietary"
     },
+    {
+        "id": "TOL2O3_3",
+        "title": "TES/Aura TES-OMI L2 Ozone Nadir V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2004-08-22",
+        "end_date": "2018-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614841-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215614841-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVzL2F1cmEgbDMgbWV0aGFuZSBtb250aGx5IGdyaWRkZWQgdjAwNlwiLFwiTEFSQ19DTE9VRFwiLFwiVEwzQ0g0TVwiLFwiNlwiLDMyMTU2MTI5NTEsMV0iLCJ1bW0iOiJbXCJ0ZXMvYXVyYSBsMyBtZXRoYW5lIG1vbnRobHkgZ3JpZGRlZCB2MDA2XCIsXCJMQVJDX0NMT1VEXCIsXCJUTDNDSDRNXCIsXCI2XCIsMzIxNTYxMjk1MSwxXSJ9/TOL2O3_3",
+        "description": "TOL2O3_3 is the Tropospheric Emission Spectrometer (TES)/Ozone Monitoring Instrument (OMI) Level 2 Ozone (O3) Nadir Version 3 data product. It was derived from TES Nadir and OMI hyper-spectral measurements from the Aura satellite and jointly estimated an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.  TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared (IR) measurements being largely sensitive to the lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir, which point directly to the surface of the Earth, and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfereed with that from O3. This combined O3 profile had a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product used TES and OMI processing results and provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.",
+        "license": "proprietary"
+    },
     {
         "id": "TOLNet_CCNY_Data_1",
         "title": "TOLNet City College of New York Data",
@@ -176067,7 +182411,7 @@
         "bbox": "180, -23.1, -180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736753162-LARC_ASDC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736753162-LARC_ASDC.html",
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         "description": "TOTE-VOTE_TraceGas_AircraftInSitu_DC8_Data_1 is the in situ trace gas data collected onboard the DC-8 aircraft as part of the Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data collected by the DACOM, LICOR, and chemiluminescence are featured in this product. Data collection is completed.  The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts.    Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
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         "description": "TRACE-A_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete.    The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f     The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f",
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         "description": "TRACE-A_Brazil_Data is the aircraft and rawinsonde data collected in Brazil during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Advanced Very High Resolution Radiometer (AVHRR) is featured in this collection. Data collection for this product is complete.    The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f     The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f",
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         "license": "proprietary"
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         "description": "TRACE-A_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete.    TRACE-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.    The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f     The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f",
         "license": "proprietary"
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         "description": "TRACE-A_Satellite_Data is the supplementary satellite data collected  during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the NOAA 10, 11, and 12 satellites and the Total Ozone Mapping Spectrometer (TOMS) satellite instrument are featured in this collection. Data collection for this product is complete.    The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f     The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f",
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813533459-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813533459-LARC_CLOUD.html",
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         "description": "TRACE-A_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete.    The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f     The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813461507-LARC_CLOUD.html",
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         "description": "TRACE-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.    The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f     The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813542787-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813542787-LARC_CLOUD.html",
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         "description": "TRACE-A_Trajectory_Data is the kinematic trajectory data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.    The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f     The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812939178-LARC_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812939178-LARC_CLOUD.html",
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         "description": "TRACE-P_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812960006-LARC_CLOUD.html",
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         "description": "TRACE-P_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "description": "TRACE-P_Ground_Data is the ground site data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign.  Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "description": "TRACE-P_Merge_Data is the merge data files created from data collected during during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "description": "TRACE-P_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Diode Laser Hygrometer (DLH) instrument is featured in this collection. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "description": "TRACE-P_MetNav_Aircraft_InSitu_P3B_Data is the in situ meteorology and navigation data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the P-3B Turbulent Air Motion Measurement System (TAMMS) is featured in this collection. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
         "license": "proprietary"
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         "description": "TRACE-P_Model_Data is the model data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
         "license": "proprietary"
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         "description": "TRACE-P_Satellite_Data is the supplementary satellite data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Multi-Angle Imaging SpectroRadiometer (MISR) and the Measurements of Pollution in the Troposphere (MOPITT) satellite instruments are featured in this collection. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "description": "TRACE-P_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "description": "TRACE-P_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "description": "TRACE-P_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Chemical Ionization Mass Spectrometer (CIMS) and the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
         "license": "proprietary"
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         "description": "TRACE-P_Trajectory_DC8_Data is the trajectory data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "description": "TRACE-P_Trajectory_P3B_Data is the trajectory data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Chemical Ionization Mass Spectrometer (CIMS) and the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
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         "description": "TRACE-P_jValue_AircraftInSitu_DC8_Data is the photolysis frequencies (j-values) measured along the DC-8 flight during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
         "license": "proprietary"
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         "description": "TRACE-P_jValue_AircraftInSitu_P3B_Data is the photolysis frequencies (j-values) measured along the P-3B flight aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.    The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f     In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
         "license": "proprietary"
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         "description": "This data set provides a map of selected areas with defined tree canopy cover over the circumpolar taiga-tundra ecotone (TTE). Canopy cover was derived from the 500-meter MODIS Vegetation Continuous Fields (VCF) product as averaged over six years from 2000-2005 and processed as described in Ranson et al. (2011). This process identified patches of low tree canopy cover which are indicative of the transition from forest to tundra and differentiate the circumpolar taiga-tundra ecotone for the 2000-2005 period. The TTE is the Earth's longest vegetation transition zone and stretches for more than 13,400 km around Arctic North America, Scandinavia, and Eurasia. In Eurasia, the map extends from 60 degrees N to 70 degrees N, and in North America from 50 degrees N to 70 degrees N, excluding Baffin Island in northeastern Canada and the Aleutian Peninsula in southwestern Alaska. Note that for this product, taiga is being used one and the same as boreal forest.This circumpolar TTE area was classified according to VCF tree canopy cover.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864090-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIiwidW1tIjoiW1wiYWlybW9zczogbDQgZGFpbHkgbW9kZWxlZCBuZXQgZWNvc3lzdGVtIGV4Y2hhbmdlIChuZWUpLCBhaXJtb3NzIHNpdGVzLCAyMDEyLTIwMTRcIixcIk9STkxfQ0xPVURcIixcIkFpck1PU1NfTDRfRGFpbHlfTkVFXzE0MjJcIixcIjFcIiwyMjYyNDEzNjQ5LDddIn0%3D/Thermokarst_Circumpolar_Map_1332_1",
         "description": "This data set provides the distribution of thermokarst landscapes in the boreal and tundra ecoregions within the northern circumpolar permafrost zones. This dataset provides an areal estimate of wetland, lake, and hillslope thermokarst landscapes as of 2015. Estimates of soil organic carbon (SOC) content associated with thermokarst and non-thermokarst landscapes were based on available circumpolar 0 to 3 meter SOC storage data.",
         "license": "proprietary"
     },
@@ -180565,7 +186909,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345876612-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345876612-ORNL_CLOUD.html",
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         "description": "This dataset provides maps of aboveground tidal marsh biomass (g/m2) at 30 m resolution for six estuarine regions of the conterminous United States: Cape Cod, MA; Chesapeake Bay, MD, Everglades, FL; Mississippi Delta, LA; San Francisco Bay, CA; and Puget Sound, WA. Estuarine and palustrine emergent tidal marsh areas were based on a 2010 NOAA Coastal Change Analysis Program (C-CAP) map. Aboveground biomass maps were generated from a random forest model driven by Landsat vegetation indices and a national scale dataset of field-measured aboveground biomass. The final model, driven by six Landsat vegetation indices, with the soil adjusted vegetation index as the most important, successfully predicted biomass for a range of marsh plant functional types defined by height, leaf angle, and growth form. Biomass can be converted to carbon stocks using a mean plant carbon content of 44.1%.",
         "license": "proprietary"
     },
@@ -180578,7 +186922,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082183-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389082183-ORNL_CLOUD.html",
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         "description": "This dataset provides 30m resolution maps of the fraction of green vegetation within tidal marshes for six estuarine regions of the conterminous United States: Cape Cod, MA; Chesapeake Bay, MD; Everglades, FL; Mississippi Delta, LA; San Francisco Bay, CA; and Puget Sound, WA. Maps were derived from a 1m classification of 2013 to 2015 National Agriculture Imagery Program (NAIP) images as tidal marsh green vegetation, non-vegetation, and open water. Using this high-resolution map, the percent of each class within Landsat pixel extents was calculated to produce a 30m fraction of green vegetation map for each region.",
         "license": "proprietary"
     },
@@ -180591,7 +186935,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517345906-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517345906-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic3BhdGlvLXRlbXBvcmFsIGNoYXJhY3RlcmlzdGljcyBvZiByYWluZmFsbCBpbiBhZnJpY2EsIDAuMjUgZGVncmVlcywgZnJvbSAxOTk4LTIwMTJcIixcIk9STkxfQ0xPVURcIixcIkFmcmljYW5fUmFpbmZhbGxfUGF0dGVybnNfMTI2M1wiLFwiMVwiLDI3NzY4NzQ4NzMsMl0iLCJ1bW0iOiJbXCJzcGF0aW8tdGVtcG9yYWwgY2hhcmFjdGVyaXN0aWNzIG9mIHJhaW5mYWxsIGluIGFmcmljYSwgMC4yNSBkZWdyZWVzLCBmcm9tIDE5OTgtMjAxMlwiLFwiT1JOTF9DTE9VRFwiLFwiQWZyaWNhbl9SYWluZmFsbF9QYXR0ZXJuc18xMjYzXCIsXCIxXCIsMjc3Njg3NDg3MywyXSJ9/Tidal_Wetland_Estuaries_Data_1742_1",
         "description": "This dataset provides a synthesis of soil organic carbon (SOC) estimates and a variety of other environmental information from tidal wetlands within estuaries in the conterminous United States for the period 1972-2015. The data were compiled from several existing data resources and include the following: soil organic carbon stock estimates, the proportion of the catchment area containing the wetlands that is barren, tidal wetland area, nontidal wetland land, open water, saltwater zone, mixed zone, agricultural, urban, forest, and wetland areas, land elevation, ocean salinity, sea surface temperature, ocean dissolved inorganic phosphorus, estuary latitude, longitude, depth, perimeter, salinity, and estuary volume, river flow, carbon, nitrogen, and phosphorus river flux, sediment organic carbon content, windspeed, mean temperature, daily and mean precipitation, frost days, and the population within each catchment. Estuaries were also classified to one of six typological categories. Coastal locations were determined by natural environmental and political divisions within the US. The data were used to investigate how tidal wetland soil organic carbon density is distributed across the continental US among various coastal locations, estuarine typologies, vegetation types, water regimes, and management regimes, and to identify whether SOC density is correlated with different environmental variables. The analytical results are not included with this dataset.",
         "license": "proprietary"
     },
@@ -180604,7 +186948,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389119490-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389119490-ORNL_CLOUD.html",
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         "description": "This dataset provides mapped tidal wetland gross primary production (GPP) estimates (g C/m2/day) derived from multiple wetland types at 250-m resolution across the conterminous United States at 16-day intervals from March 5, 2000, through November 17, 2019. GPP was derived with the spatially explicit Blue Carbon (BC) model, which combined tidal wetland cover and field-based eddy covariance (EC) tower GPP data into a single Bayesian framework along with Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) datasets. Tidal wetlands are a critical component of global climate regulation. Tidal wetland-based carbon, or \"blue carbon,\" is a valued resource that is increasingly important for restoration and conservation purposes.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389101861-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389101861-ORNL_CLOUD.html",
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         "description": "This dataset provides modeled estimates of soil carbon stocks for tidal wetland areas of the Conterminous United States (CONUS) for the period 2006-2010. Wetland areas were determined using both 2006-2010 Coastal Change Analysis Program (C-CAP) raster maps and the National Wetlands Inventory (NWI) vector data. All 30 x 30-meter C-CAP pixels were extracted that are coded as estuarine emergent, scrub/shrub, or forested in either 2006 or 2010. A soil database for model fitting and validation was compiled from 49 different studies with spatially explicit empirical depth profile data and associated metadata, totaling 1,959 soil cores from 18 of the 22 coastal states. Reported estimates of carbon stocks were derived with modeling approaches that included (1) applying a single average carbon stock value from the compiled soil core data, (2) applying models fit using the empirical data and applied spatially using soil, vegetation and salinity maps, (3) relying on independently generated soil carbon maps from The United States Department of Agriculture (USDA)'s Soil Survey Geographic Database (SSURGO), and the NWI that intersected with mapped tidal wetlands, and (4) using a version of SSURGO bias-corrected for bulk density. Comparisons of uncertainty, precision, and accuracy among these four approaches are also provided.",
         "license": "proprietary"
     },
@@ -180630,7 +186974,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2575422019-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2575422019-ORNL_CLOUD.html",
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         "description": "This dataset contains model predictions of soil erosion and soil organic carbon (SOC) redistribution caused by agricultural practices such as tillage erosion. Soil erosion diminishes agricultural productivity by driving the loss of SOC. This model addresses a growing need to predict soil organic carbon transport, loss, and deposition. The model was applied to three sites containing paired prairie grassland and field plots in Iowa, and predicts SOC redistribution between 1859 to 2019. The model was developed by incorporating a SOC mixing model with a landscape evolution model that simulates tillage erosion.",
         "license": "proprietary"
     },
@@ -180656,7 +187000,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170970462-ORNL_CLOUD.umm_json",
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         "description": "This data set provides the spatial distributions of vegetation types, soil carbon, and physiographic features in the Toolik Lake area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology.",
         "license": "proprietary"
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         "description": "This dataset provides environmental, soil, and vegetation data collected in August 1989 from 81 study plots at the Toolik Lake research site, located in the southern Arctic Foothills of the Brooks Range, Alaska. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in 26 communities and 4 broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species, cover, indices, and biomass pools; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping, and analysis of geobotanical factors in the Toolik Lake region and across Alaska.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2192619509-ORNL_CLOUD.html",
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         "description": "This dataset includes daily averaged solar-induced chlorophyll fluorescence (SIF) in the red (680-686 nm) and far-red (745-758 nm) wavelength ranges, relative SIF (SIF/Intensity), chlorophyll-carotenoid index (CCI), photochemical reflectance index (PRI), near-infrared vegetation index (NIRv), and normalized difference vegetation index (NDVI) for both black spruce (Picea mariana) and larch (Larix laricina) targets. The study site (Southern Old Black Spruce, SOBS Fluxnet ID CA-Obs) is located near the southern limit of the boreal forest ecotone in Saskatchewan, Canada. Data were collected for the spring transition in both 2019 and 2020 using PhotoSpec. Species-specific averages were calculated over each 30-minute period, then averaged again to report daily averages of SIF relative and reflectance measurements for both black spruce and larch.",
         "license": "proprietary"
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         "description": "The data set provides multi-year (2016-2018) percent tree cover (TC) estimates for entire Mexico at 30 m spatial resolution. The TC data (hereafter, NEX-TC) was derived from the 30 m Landsat Collection 1 product and a hierarchical deep learning approach (U-Net) developed in a previous CMS effort for the conterminous United States (CONUS) (Park et al., 2022). The hierarchical U-Net framework first developed a U-Net model for very high-resolution aerial images (NAIP) using training labels derived from previous work based on an interactive image segmentation tool and iterative updates with expert knowledge (Basu et al., 2015). The developed NAIP U-Net model and NAIP data produced 1-m NAIP TC across all lower 48 CONUS states. A Landsat U-Net model was developed for multi-year and large-scale TC mapping based on the very high-resolution NAIP TC made in the earlier stage. The Landsat U-Net model developed was adopted over the CONUS for testing its transferability, validation, and improvement across Mexico. This dataset provides national-scale percent tree cover estimates over Mexico and can be helpful for studies of carbon cycling, land cover and land use change, etc. The team has been working on improving temporal stability of the product and will update the product once the next version is ready to be shared.",
         "license": "proprietary"
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         "description": "This dataset provides annual estimates of tree mortality due to fires and bark beetles from 2003 to 2012 on forestland in the continental western United States. Tree mortality was estimated at 1-km spatial resolution by combining tree aboveground carbon (AGC) and disturbance datasets derived largely from remote sensing. Tree mortality is expressed as the amount of AGC stored in trees killed by disturbance (Mg carbon per km2). The dataset also includes annual uncertainty maps that were generated using a Monte Carlo approach in which tree biomass, biomass carbon content, and disturbance severity were iteratively varied by their uncertainty.",
         "license": "proprietary"
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         "description": "This dataset provides visible-near infrared spectral reflectance, descriptions of vegetation cover, surface temperature, the total fraction of absorbed photosynthetically active radiation (fAPAR, 2001 only), permafrost active layer depth, elevation, and soil temperature at 5 cm depth. Measurements were made at every meter along a 100-m transect aligned mainly in an east-west direction, located approximately 300 m southeast of the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML) baseline observatory near Utqiagvik, Alaska. Reflectance measurements were collected at nearly weekly intervals through the growing seasons of 2000 to 2002 to describe characteristics of green-up, peak growth, and senescence. Reflectance measurements were also collected once near peak growth in 2022. Ancillary measurements were collected at intervals through the 2001 and 2002 growing seasons.",
         "license": "proprietary"
     },
@@ -180773,7 +187117,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2262495116-ORNL_CLOUD.html",
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         "description": "This dataset provides measurements at tundra plots collected near Utqiagvik and Atqasuk, AK, including visible-near infrared spectral reflectance, chamber gas exchange measurements of CO2, pulse amplitude modulated (PAM) fluorometry, chlorophyll pigment contents, along with surface temperature, permafrost active layer depth, and soil temperature at 5 cm, through the growing seasons of 2001 and 2002. At all plots, spectral reflectance was measured using a portable spectrometer configured with a straight fiber optic foreoptic, surface temperatures were measured using a handheld Everest Infrared Thermometer, and thaw depth (or active layer depth) was measured using a metal rod graduated in centimeter intervals. At small plots (~15 cm) at Utqiagvik (referred to as Patch plots) chambers were constructed that enclosed an individual patch to determine photosynthetic rate and estimate respiration rate (made by covering the chamber in a dark cloth). Efficiency using PAM fluorometer, ambient yield estimations, and rapid light curve measurements were taken. Chlorophyll concentration was measured with a portable spectrometer configured as a spectrophotometer. At larger plots (approximately 1 m2) which were part of the International Tundra EXperiment (ITEX plots) at Utqiagvik (referred to as Barrow) and Atqasuk, a sub-sample of five control and five warmed plots at each site were fitted with 0.45 m diameter polyvinyl chloride collars for chamber flux measurements. To determine the total fraction of absorbed photosynthetically active radiation (fAPAR), a series of photosynthetically active radiation (PAR) measurements were made using a custom-made light bar consisting of a linear array of GaAsP sensors mounted within an aluminum U-bar under a white plastic diffuser. In addition, a visual estimate was made of the fraction of standing dead vegetation based on percent cover. The data are provided in comma-separated values (*.csv) format.  In addition, photographs of plots and instruments are provided.",
         "license": "proprietary"
     },
@@ -180786,7 +187130,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162122251-ORNL_CLOUD.html",
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         "description": "This dataset provides environmental and vegetation data collected in late June and July of 2011 and of 2012 from study plots located in tundra fire scars and adjacent unburned tundra areas on the Seward Peninsula and the northern foothills of the Brooks Range in Arctic Alaska. The surveys focused on upland tundra settings and provide information on vegetative differences between the burned and unburned sites. The sampling design established a chronosequence of sites that varied in time since last fire to better understand post-fire vegetation successional trajectories. Complete species lists and their cover abundance data are provided for both study areas. Environmental data include the baseline plot descriptive information for vegetation, soils, and site factors. No soil samples were collected.",
         "license": "proprietary"
     },
@@ -180799,7 +187143,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401680-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401680-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IGwxIHMtMCBwb2xhcmltZXRyaWMgZGF0YSBmcm9tIHVhdnNhciBwLWJhbmQgc2FyLCBhbGFza2EgYW5kIGNhbmFkYSwgMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQUJvVkVfTDFfUF9TQVJfMTgwMFwiLFwiMVwiLDIxNDM0MDE3NzMsN10iLCJ1bW0iOiJbXCJhYm92ZTogbDEgcy0wIHBvbGFyaW1ldHJpYyBkYXRhIGZyb20gdWF2c2FyIHAtYmFuZCBzYXIsIGFsYXNrYSBhbmQgY2FuYWRhLCAyMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBQm9WRV9MMV9QX1NBUl8xODAwXCIsXCIxXCIsMjE0MzQwMTc3Myw3XSJ9/Tundra_Greeness_Temp_Trends_1893_1",
         "description": "This dataset provides annual tundra greenness and summer air temperatures at a resolution of 50 km over the pan-Arctic tundra biome above 31.5 degrees over the time period 1985 to 2016. Annual tundra greenness was assessed using the maximum Normalized Difference Vegetation Index (NDVImax) derived from surface reflectance measured by sensors on the Landsat satellites. Summer air temperatures were quantified using the Summer Warmth Index (SWI) derived from an ensemble of five global temperature datasets. Tabular data include NDVImax, SWI, and estimates of uncertainty using Monte Carlo simulations at 45,334 vegetated sampling sites. Raster data provide (1) annual SWI from 1985 to 2016; (2) temporal trends in annual NDVImax and SWI from 1985 to 2016 and from 2000 to 2016; and (3) temporal correlations between annual NDVImax - SWI during these two periods. Each raster also includes estimates of uncertainty that were generated using Monte Carlo simulations. This dataset provides a new pan-Arctic product for assessing inter-annual variability in tundra using moderate resolution observations from the Landsat satellites.",
         "license": "proprietary"
     },
@@ -180812,7 +187156,7 @@
         "bbox": "-156.6, 64.83, -147.81, 71.31",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2262495547-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2262495547-ORNL_CLOUD.html",
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         "description": "This dataset provides leaf-level visible-near infrared spectral reflectance, chlorophyll fluorescence spectra, species, plant functional type (PFT), and chlorophyll content of common high latitude plant samples collected near Fairbanks, Utqiagvik, and Toolik, Alaska, U.S., during the summers of 2019, 2020, and 2021. A FluoWat leaf clip was used to measure leaf-level visible-near infrared spectral reflectance and chlorophyll fluorescence spectra. Fluorescence yield (Fyield) was calculated as the ratio of the emitted fluorescence divided by the absorbed radiation for the wavelengths from 400 nm up to the wavelength of the cut off for the FluoWat low pass filter (either 650 or 700 nm). Chlorophyll content of samples was measured using a CCM-300 Chlorophyll Content. The data are provided in comma-separated values (.csv) format.",
         "license": "proprietary"
     },
@@ -180877,7 +187221,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1627523808-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1627523808-LARC.html",
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 Aerosol parameters subset for the UAE region V002 contains Aerosol optical depth and particle type, with associated atmospheric data.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1627523802-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1627523802-LARC.html",
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 Land Surface parameters subset for the UAE region V002 contains information on land directional reflectance properties; albedos (spectral and photosynthetically active radiation (PAR) integrated); fraction of absorbed photosynthetically active radiation (FPAR); associated radiation parameters; and terrain-referenced geometric parameters.",
         "license": "proprietary"
     },
@@ -180968,7 +187312,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1627523799-LARC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1627523799-LARC.html",
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Albedo parameters subset for the UAE region V002 contains local, restrictive, and expansive albedo, with associated data.",
         "license": "proprietary"
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@@ -181436,7 +187780,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336045-ASF.umm_json",
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         "description": "UAVSAR Repeat Pass Interferometry Scene",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336154-ASF.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336154-ASF.html",
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         "description": "UAVSAR Repeat Pass Interferometry Ground Projected Scene",
         "license": "proprietary"
     },
@@ -181462,7 +187806,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336554-ASF.html",
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         "description": "UAVSAR Repeat Pass Interferometry Scene KMZ",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336717-ASF.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336717-ASF.html",
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         "description": "UAVSAR Repeat Pass Interferometry Scene Metadata",
         "license": "proprietary"
     },
@@ -181488,7 +187832,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353593-ASF.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353593-ASF.html",
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         "description": "UAVSAR PolSAR Scene DEM TIFF",
         "license": "proprietary"
     },
@@ -181501,7 +187845,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353754-ASF.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353754-ASF.html",
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         "description": "UAVSAR PolSAR Scene Incidence Angle",
         "license": "proprietary"
     },
@@ -181514,7 +187858,7 @@
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403529-ORNL_CLOUD.html",
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         "description": "This dataset includes soil temperature profile measurements taken at 63 monitoring sites associated with the USArray program, located across the NASA ABoVE domain in interior Alaska. The measurement dates and depths vary per site as does measurement frequency (hourly or every 6 hours). Measurements were made from the soil surface to a maximum depth of 1.5 m from 2016-2021 using temperature sensors attached to HOBO data loggers. These measurement stations complement existing temperature monitoring networks allowing for better characterization of ground temperatures and permafrost conditions across Alaska.  This station data complement an existing temperature monitoring network, allowing for better characterization of ground temperatures and permafrost conditions in northern and western Alaska. The temperature measurements are provided for each site in 64 data files in comma-separated values (.csv) format.  Site descriptive data are also provided for soil, vegetation, and location.",
         "license": "proprietary"
     },
@@ -192438,6 +198782,19 @@
         "description": "This dataset provides MODIS-derived leaf area index (LAI), stem area index (SAI), vegetation area fraction, dominant landcover category, and albedo parameters for the continental US (CONUS), parts of southern Canada, and Mexico at 30 km resolution. The data cover the period 2003-2010 and were developed to be used as surface input data for regional agroecosystem-climate models. MODIS Collection 5 products used to derive these parameters included the Terra yearly water mask, vegetation continuous field products, the combined Terra and Aqua yearly land-cover category (LCC) (MCD12Q1), 8-day composites for LAI (MCD15A2), and albedo parameter (MCD43B1) products. Please note that the MODIS Version 5 land data products used in this dataset have been superseded by Version 6 data products.",
         "license": "proprietary"
     },
+    {
+        "id": "UTCPoleT_001",
+        "title": "UT1 - UTC and Polar Motion - ECS internal format for Toolkit V 001 Non-orderable",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "1990-01-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425376-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2951425376-LARC_CLOUD.html",
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+        "description": "ECS internal format for daily values of UT1 - UTC and the x and y components of polar motion. From 1972 onwards. Flag for final or predicted data. One sigma error for each item.",
+        "license": "proprietary"
+    },
     {
         "id": "UTC_1990countyboundaries_Not provided",
         "title": "1990 County Boundaries of the United States",
@@ -192564,7 +198921,7 @@
         "bbox": "-152.13, 69.37, -152.13, 69.37",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969870-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969870-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHZlZ2V0YXRpb24gcGxvdHMgYXQgYXRxYXN1aywgYWxhc2thLCAxOTc1LCAyMDAwLCBhbmQgMjAxMFwiLFwiT1JOTF9DTE9VRFwiLFwiQXRxYXN1a19WZWdfUGxvdHNfMTM3MVwiLFwiMVwiLDIxNzA5Njk4ODQsNV0iLCJ1bW0iOiJbXCJhcmN0aWMgdmVnZXRhdGlvbiBwbG90cyBhdCBhdHFhc3VrLCBhbGFza2EsIDE5NzUsIDIwMDAsIGFuZCAyMDEwXCIsXCJPUk5MX0NMT1VEXCIsXCJBdHFhc3VrX1ZlZ19QbG90c18xMzcxXCIsXCIxXCIsMjE3MDk2OTg4NCw1XSJ9/Umiat_Veg_Plots_1370_1",
         "description": "This data set provides vegetation cover and plot data collected during the periods of July and August, 1951, from 51 stands (areas of homogeneous vegetation communities) in the the Umiat region of Alaska, on the Colville River. The Umiat area is within the Northern Foothills section of the Arctic Foothills province on the slope north of the Brooks Range. Data include vegetation species, percent cover classes, soil moisture, topographic position, slope, aspect, and plot shape and size.",
         "license": "proprietary"
     },
@@ -192577,7 +198934,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969919-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969919-ORNL_CLOUD.html",
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         "description": "This data set provides environmental, soil, and vegetation data collected during August 2007 from 69 study plots at the Unalaska Island research site, and one plot on Amaknak Island. The study sites are within the eastern Aleutian Islands, Alaska, USA. Data includes the plot information for vegetation, soils, and site characteristics for the study plots subjectively located in 11 plant communities that occur in six broad habitat types. Specific attributes include: dominant vegetation species and cover, soil chemistry, moisture, organic matter, topography, and elevation. Cover-abundance was estimated for all vascular plants, bryophytes, and macrolichens according to the nine-point ordinal scale of Westhoff and van der Maarel (1973).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389101052-ORNL_CLOUD.html",
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         "description": "This dataset provides maps of coastal wetland carbon and methane fluxes and coastal wetland surface elevation from 2006 to 2011 at 30 m resolution for coastal wetlands of the conterminous United States. Total coastal wetland carbon flux per year per pixel was calculated by combining maps of wetland type and change with soil, biomass, and methane flux data from a literature review. Uncertainty in carbon flux was estimated from 10,000 iterations of a Monte Carlo analysis. In addition to the uncertainty analysis, this dataset also provides a probabilistic map of the extent of tidal elevation, as well as the geospatial files used to create that surface, and a land cover and land cover change map of the coastal zone from 2006 to 2011 with accompanying estimated median soil, biomass, methane, and total CO2 equivalent annual fluxes, each with reported 95% confidence intervals, at 30 m resolution. Land cover was quantified using the Coastal Change Analysis Program (C-CAP), a Landsat-based land cover mapping product.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3140252003-ORNL_CLOUD.html",
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         "description": "This dataset provides measurements of vegetation biomass from 11 locations across Alaska during 2016 to 2018. Vegetation was harvested from plots that were located at the end of previously established 30-m transects at each site, except at one site where plots were randomly selected. Vascular vegetation was clipped from 50 cm x 50 cm plots, and non-vascular vegetation was clipped from 25 cm x 25 cm plots. All harvested vegetation was sorted by functional group or by species where identification was possible. The sorted vegetation was dried and then weighed to determine biomass. Locations were selected to investigate fire disturbance, to span the range of permafrost regions from continuous to sporadic, and to cover vegetation types from boreal forests, tussock tundra, upland willow/herbaceous scrub, and lowland fen and wet tundra sites across Alaska. The data are provided in comma separated values (CSV) format.",
         "license": "proprietary"
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Aerosol Product subset for the VBBE region V002 contains Aerosol optical depth and particle type, with associated atmospheric data.",
         "license": "proprietary"
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 Land Surface Product subset for the VBBE region V002 contains information on land directional reflectance properties; albedos (spectral and photosynthetically active radiation (PAR) integrated); fraction of absorbed photosynthetically active radiation (FPAR); asssociated radiation parameters; and terrain-referenced geometric parameters.",
         "license": "proprietary"
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         "description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Terrain Product subset for the VBBE region V003 contains Terrain-projected TOA Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.",
         "license": "proprietary"
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         "description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) daily surface reflectance Climate Modeling Grid (VJ109CMG) Version 2 product provides an estimate of land surface reflectance from the NOAA-20 VIIRS sensor. Data are provided for three imagery bands (I1-I3) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at 0.05 degree (~5,600 meter) resolution. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. This product uses a weighted average of the best quality observation and is formatted as a CMG for use in climate simulation models. This product includes the twelve reflectance bands, five moderate resolution brightness temperature bands (M12-M16) and information layers representing relative azimuth angle, sensor zenith angle, solar zenith angle, reflectance band quality, time of day, and number mapping.   ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2631841524-LPCLOUD.html",
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         "description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) daily surface reflectance (VJ109GA) Version 2 product provides an estimate of land surface reflectance from the NOAA-20 VIIRS sensor. Data are provided for three imagery bands (I1-I3) at nominal 500 meter resolution (~463 meter) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the Level 2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols.     The inputs to the surface reflectance algorithm are top-of-atmosphere reflectance for the VIIRS visible bands,the VIIRS cloud mask and aerosol product, aerosol optical thickness and atmospheric data obtained from the NOAA National Centers for Environmental Prediction (NCEP) reanalysis system. Along with the twelve reflectance bands are reflectance band quality, sensor azimuth angle, solar azimuth angle, sensor zenith angle, solar zenith angle, and observations layers. The reflectance layers from the VNP09GA data product are used as input data for many of the VIIRS land products. ",
         "license": "proprietary"
     },
@@ -195437,7 +201794,7 @@
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         "license": "proprietary"
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         "description": "This data set reports the location of sea ice cover derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System's first satellite (JPSS-1). Following the approach used by MODIS, sea ice is detected using the Normalized Difference Snow Index.",
         "license": "proprietary"
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         "description": "This data set contains daily snow cover derived from radiance data acquired by the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (NPP) satellite. The data is a gridded composite, generated from 6 minute swaths, and projected to a 375 m Sinusoidal grid. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of screens designed to alleviate errors and flag uncertain snow cover detections.",
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         "description": "This data set reports the location of snow cover using radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (NPP) satellite. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of quality control screens.",
         "license": "proprietary"
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         "description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires (VNP14IMG) Version 2 product is produced in 6-minute temporal satellite increments (swaths) at 375 meter resolution from the VIIRS sensor aboard the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. This Level 2 product is designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire data products to promote the continuity of the Earth Observation System (EOS) mission. This data product can enable users to understand the location and intensity of fire events. Due to its higher spatial resolution, the VNP14IMG active fire product provides greater response over fires of relatively small areas, as well as improved mapping of large fire perimeters in comparison to the VNP14 fire data product.    The VNP14IMG product includes 26 science dataset layers to analyze key factors in fire detection, including atmospheric conditions (e.g., radiance, solar zenith angle, brightness temperature) and fuel type for the event. The fire mask layer in the VNP14IMG product is the primary layer and can be used to identify fires and other thermal anomalies such as volcanoes.     Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). The VNP14IMG product is also used to generate higher-level fire data products.    Use of the (VNP03MODLL) data product is required to apply accurate geolocation information to the VNP14IMG Science Datasets (SDS).  ",
         "license": "proprietary"
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         "description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Night Version 2 product (VNP21A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products.      The L2G process maps the daily (VNP21) (https://doi.org/10.5067/VIIRS/VNP21.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given night. The VNP21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The nighttime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product.    The VNP21A1N product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A1N) (https://doi.org/10.5067/MODIS/MOD21A1N.061) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf).    The VNP21A1N product contains seven Science Datasets (SDS): LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VNP21A1N granule.  ",
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         "description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) 8-day product (VNP21A2) combines the daily (VNP21A1D) (http://doi.org/10.5067/VIIRS/VNP21A1D.002) and (VNP21A1N) (http://doi.org/10.5067/VIIRS/VNP21A1N.002) products over an 8-day compositing period into a single product.    The VNP21A2 dataset is an 8-day composite LST&E product at 1 kilometer resolution that uses an algorithm based on a simple-averaging method. The algorithm calculates the average from all the cloud-free VNP21A1D and VNP21A1N daily acquisitions from the 8-day period. Unlike the VNP21A1 datasets where the daytime and nighttime acquisitions are separate products, the VNP21A2 contains both daytime and nighttime acquisitions as separate science dataset (SDS) layers within a single Hierarchical Data Format (HDF) file.    The VNP21A2 product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A2) (https://doi.org/10.5067/MODIS/MOD21A2.061) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf).    The VNP21A2 product contains 11 Science Datasets (SDS): LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VNP21A2 granule.  ",
         "license": "proprietary"
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         "description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Land Surface Temperature and Emissivity (LST&E) Climate Modeling Grid Version 2 product (VNP21C) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VNP21) (https://doi.org/10.5067/VIIRS/VNP21.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VNP21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The 0.05 degree (5600 m) dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf).  ",
         "license": "proprietary"
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         "license": "proprietary"
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         "license": "proprietary"
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         "description": "This data set reports sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (NPP) satellite. Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique.",
         "license": "proprietary"
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         "description": "This dataset includes field measurements from 26 burned and unburned transects established in 2008 in the region of the Anaktuvuk River tundra fire on the Arctic Slope of Alaska, US. Measurements include plant cover by species, shrub and tussock density, thaw depth, and soil depth. This wildfire occurred in 2007, and sampling took place in 2008-2011 and in 2017.",
         "license": "proprietary"
     },
@@ -199064,7 +205421,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403456-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403456-ORNL_CLOUD.html",
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         "description": "This dataset contains vegetation community maps at 20 cm resolution for three landscapes near the Toolik Lake research area in the northern foothills of the Brooks Range, Alaska, USA. The maps were built using a Random Forest modeling approach using predictor layers derived from airborne lidar data and high-resolution digital airborne imagery collected in 2013, and vegetation community training data collected from 800 reference field plots across the lidar footprints in 2014 and 2015. Vegetation community descriptions were based on the commonly used classifications of existing Toolik area vegetation maps.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402747-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402747-ORNL_CLOUD.html",
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         "description": "This dataset contains 731 ground-based nadir vegetation community and ground surface photographs of selected field plots taken as ground reference data for vegetation classification studies at three areas near Toolik Lake, Alaska during the summers of 2014 and 2015. The largest area, 'Toolik', (approximately 6 km2) covers research areas near Toolik Field Station at Toolik Lake, including Arctic LTER installations. The other two areas are each roughly 3 km2: the 'Pipeline' area: a stretch of the Trans-Alaska Pipeline, and the 'Imnavait' area: along Imnavait Creek roughly 10 km east of Toolik Lake.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162131333-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162131333-ORNL_CLOUD.html",
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         "description": "This dataset provides the summer NDVI trend and trend significance for the period 1984-2012 over Alaska and Canada. The NDVI were calculated per-pixel from all available peak-summer 30-m Landsat 5 and 7 surface reflectance data for the period. NDVI time series were assembled for each 30-m land location (i.e., non-water, non-snow), from observations that were unaffected by clouds as indicated by data-quality masks and following additional processing to remove anomalous NDVI values. A simple linear regression via ordinary least squares was applied to the per-pixel NDVI time series. The slope of the regression was taken as the annual NDVI trend (unit NDVI change per year) and is reported in the \"trend\" data files. A Student's t-test was used to assess the significance of the trend and the per-pixel significance is reported in the \"trend_sig\" data files. A significant positive slope indicates a greening trend, and a significant negative slope indicates a browning trend.",
         "license": "proprietary"
     },
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         "bbox": "-73.49, 42.7, -71.46, 45.02",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2482184416-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2482184416-ORNL_CLOUD.html",
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         "description": "This dataset contains estimates of tree canopy cover presence at high resolution (0.5m) across the state of Vermont for 2016 in Cloud-Optimized GeoTIFF (*.tif) format. Tree canopy was derived from 2016 high-resolution remotely sensed data as part of the Vermont High-Resolution Land Cover mapping project. Object-based image analysis techniques (OBIA) were employed to extract potential tree canopy and trees using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected. Tree canopy assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establish tree canopy goals.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517350332-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517350332-ORNL_CLOUD.html",
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         "description": "The Vulcan version 3.0 annual dataset provides estimates of annual carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the State of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Data are gridded annually on a 1-km grid for the years 2010 to 2015. These data are annual sums of hourly estimates. Also provided are estimates of the upper 95% confidence interval and the lower 95% confidence interval boundaries for each emission estimate. For each uncertainty level, there are 10 individual sector files and one total file.  These data are designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2516155224-ORNL_CLOUD.html",
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         "description": "The Vulcan version 3.0 hourly dataset quantifies hourly emissions at a 1-km resolution for the 2010-2015 time period. Estimates are provided of hourly carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the state of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Files for hourly total emissions are also available.  Data are represented in space on a 1 km x 1 km grid as hourly totals for 2010-2015. This dataset provides the first bottom-up U.S.-wide FFCO2 emissions data product at 1 km2/hourly for multiple years and is designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764722720-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764722720-ORNL_CLOUD.html",
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         "description": "The WAVeTrends dataset is a 0.05 degree (5.55 km) vegetation change product, spanning the West African Sudano-Sahel region. It provides pixel-wise information on concurrent woody and herbaceous vegetation trends over a 32-year period (1982-2013). Change in woody vegetation was derived using long-term rain use efficiency (RUE) sensitivity, i.e., the per-pixel comparison of the difference of mean RUE between the first and last decades of the 32-year time series. Herbaceous vegetation change was defined by short-term RUE sensitivity, i.e., comparing the slope of the RUE relationship (productivity vs. precipitation) between both decades using per-pixel Analysis of Covariance (ANCOVA). Categorical vegetation change was then determined for each pixel using the direction of the change and a significance level of p<0.05. The use of RUE (the amount of biomass produced per unit of precipitation) for vegetation trend analysis in savanna regions relies on the assumption that rainfall is a significant positive driver of net production in drylands. Testing of this long-term productivity-rainfall relationship revealed that the assumption was not always met, therefore, validity flags are included for each pixel location.",
         "license": "proprietary"
     },
@@ -199662,7 +206019,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517698238-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517698238-ORNL_CLOUD.html",
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         "description": "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) footprint data products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. The data are gridded footprints on a 1-km grid congruent with the ACES emissions inventory. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the \"receptor\" location), to create the adjoint of the transport model in the form of a \"footprint\" field. The footprint, with units of mixing ratio, quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517667717-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517667717-ORNL_CLOUD.html",
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         "description": "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory data and footprint products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. Meteorological fields from version 3.6.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the \"receptor\" location), to create the adjoint of the transport model in the form of a \"footprint\" field. The footprint, with units of mixing ratio (ppm) per surface flux (umol m-2 s-1), quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. Footprints are provided for the two receptors at two temporal and spatial scales: three days of surface influence over the whole North American coverage area at 1-degree resolution and 24 hours of surface influence within a smaller region close to the measurement locations ('near field') at 0.1-degree resolution.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2253727823-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2253727823-NSIDC_ECS.html",
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         "description": "This Western United States snow reanalysis data set contains daily estimates of posterior snow water equivalent (SWE), fractional snow-covered area (fSCA) and snow depth (SD) at 16 arc-second (~500 m) resolution from water years 1985 to 2021. This data set was developed to be compared to SnowEx data sets but its utility reaches beyond that since its spatial and temporal bounds extend over the entire Western U.S. and over several decades.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2695676729-NSIDC_ECS.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2695676729-NSIDC_ECS.html",
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         "description": "This data set includes: (1) fine-scale snow and land cover maps from two mountainous study sites in the Western U.S., produced using machine-learning models trained to extract land cover data from WorldView-2 and WorldView-3 stereo panchromatic and multispectral images; (2) binary snow maps derived from the land cover maps; and (3) 30 m and 465 m fractional snow-covered area (fSCA) maps, produced via downsampling of the binary snow maps. The land cover classification maps feature between three and six classes common to mountainous regions and integral for accurate stereo snow depth mapping: illuminated snow, shaded snow, vegetation, exposed surfaces, surface water, and clouds. Also included are Landsat and MODSCAG fSCA map products. The source imagery for these data are the Maxar WorldView-2 and Maxar WorldView-3 Level-1B 8-band multispectral images, orthorectified and converted to top-of-atmosphere reflectance. These Level-1B images are available under the NGA NextView/EnhancedView license.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863033-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863033-ORNL_CLOUD.html",
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         "description": "A standardized global data set of soil horizon thicknesses and textures (particle size distributions).",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863502-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863502-ORNL_CLOUD.html",
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         "description": "This data set provides a soil map with estimates of soil carbon (C) in g C/m2 for 20-cm layers from the surface to one meter depth for the conterminous United States.STATSGO v.1 (State Soil Geographic Database, Soil Survey Staff, 1994) data were used to estimate by 20-cm intervals to a 1-m depth the mean soil carbon for each of the STATSGO-delineated soil map units. These map units are the polygons represented in the provided Shapefile data product. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2951683862-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2951683862-ORNL_CLOUD.html",
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         "description": "This dataset contains estimates of soil organic carbon stocks and wetland intrinsic potential (WIP) across the Hoh River Watershed in the Olympic Peninsula, WA, USA in 2012-2013. Estimates were derived from an equation based on wetland intrinsic potential and geology type (Stewart et al., 2023). Wetland intrinsic potential estimates the likelihood that that an area is a wetland using a random forest model built on vegetation, hydrology, and soil data (Halabisky et al., 2022). SOC estimates at 1 m and 30 cm, SOC standard deviations, and WIP are presented in Cloud-Optimized GeoTIFF (*.tif) format at 4-m resolution. Also included are 36 field observations of SOC collected from 2020-08-01 to 2022-06-29. These are contained in a comma separated (*.csv) file.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2308233855-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2308233855-ORNL_CLOUD.html",
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         "description": "This dataset contains land cover classification focused on water and wetland vegetation communities over the Peace-Athabasca Delta, Canada. Four classification maps with 5-m resolution were derived various combinations of Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) acquired in July and September 2019, and a historical LiDAR archive data. The maps include 10 land cover classes, including open water, emergent aquatic vegetation types, terrestrial vegetation, and forest. Based on field data, the best performing model, which combined all three data sources, achieved an overall accuracy of 93.5%. The land cover maps are provided in GeoTIFF format along with polygons of AVIRIS-NG, UAVSAR, and LiDAR footprints in shapefile and KML formats.",
         "license": "proprietary"
     },
@@ -200039,7 +206396,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2636355463-ORNL_CLOUD.html",
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         "description": "This dataset provides measurements of gas exchange (light response curves, Kok curves and ACi curves), leaf traits (carbon, nitrogen, and specific leaf area), leaf pigments (Chlorophyll a, Chlorophyll b and Carotenoids), the photochemical reflectance index (PRI), and average photosynthetic photon flux density as collected from hemispherical photographs. Data were collected on white spruce trees (Picea glauca (Moench) Voss) growing at the northern edge of the species' distribution in Alaska and at the southern edge of the species' distribution in Black Rock Forest (BRF), New York. Measurements were taken at high and low canopy positions on each tree at both sites during the 2017 growing season (2017-06-19 to 2017-07-20).  Gas exchange, leaf trait, pigment and spectral measurements were obtained using a portable photosynthesis system (LI-6800, LI-COR, Lincoln, NE). Photochemical reflectance index was determined using a spectroradiometer, and hemispherical photographs were taken with a digital camera. These data were collected to better understand how vertical canopy gradients in photosynthetic physiology change from the southernmost to the northernmost range extremes of white spruce. The data are provided in comma-separated value (CSV) format.",
         "license": "proprietary"
     },
@@ -200065,7 +206422,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3234724704-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3234724704-ORNL_CLOUD.html",
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         "description": "This dataset contains simulations of net primary production (NPP), heterotrophic respiration (RH), net ecosystem production (NEP), and soil temperature data in North American boreal forests for the period 1986-2020. Data sources included historical fire sources and Landsat data. The delta Normalized Burn Ratio (dNBR), which can be used to represent burn severity for a fire, was calculated for each individual fire over the time period. The interactions between canopy, fire and soil thermal dynamics were modelled using a soil surface energy balance model  incorporated into a previous Terrestrial Ecosystem Model (TEM). Using the revised TEM, two regional simulations were conducted with and without fire disturbance. Fire polygons were dissected into each unit with unique fire history and then intersected with each grid cell to measure fire impacts. The output values for each grid cell are the area-weighted mean of each fire polygon and unburned area within the cell. Two extra simulations without a canopy energy balance scheme were also conducted to quantify the impact of the canopy. Soil temperature was simulated with and without the canopy energy balance scheme in the model in addition to considering fire impacts.",
         "license": "proprietary"
     },
@@ -200091,7 +206448,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162122340-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162122340-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of wildfire progression represented by date of burning (DoB) within fire scars across Alaska and Canada for the period 2001-2019. Burn scar locations were obtained from two datasets: the Alaskan Interagency Coordination Center (AICC) and the Natural Resources Canada (NRC) databases. All scars within these databases were used in this study. The estimated DoB was derived using an algorithm for identifying the first fire occurrence from the Moderate Resolution Imaging Spectroradiometer (MODIS) active fire detection product (MCD14ML, Collection 6) and to subsequently determine all dates of burning within fire scars. The DoB data are provided as polygons and map the daily progression of a fire within each burn scar. As a result, there is one polygon for each DoB detected within an identified burn scar boundary. The MODIS active fire points associated with the burn scar data are also provided. Data for the period 2001-2015 were first published in 2017 and data for the period 2016-2019 were added in January 2021.",
         "license": "proprietary"
     },
@@ -200117,7 +206474,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403376-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403376-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IG1vZGlzLWRlcml2ZWQgbWF4aW11bSBuZHZpLCBub3J0aGVybiBhbGFza2EgYW5kIHl1a29uIHRlcnJpdG9yeSBmb3IgMjAwMi0yMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBbGFza2FfWXVrb25fTkRWSV8xNjE0XCIsXCIxXCIsMjE2MjE0NTQ5Miw1XSIsInVtbSI6IltcImFib3ZlOiBtb2Rpcy1kZXJpdmVkIG1heGltdW0gbmR2aSwgbm9ydGhlcm4gYWxhc2thIGFuZCB5dWtvbiB0ZXJyaXRvcnkgZm9yIDIwMDItMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQWxhc2thX1l1a29uX05EVklfMTYxNFwiLFwiMVwiLDIxNjIxNDU0OTIsNV0ifQ%3D%3D/Wildfires_NWT_Canada_2018_1703_1",
         "description": "This dataset provides vegetation community characteristics and biophysical data collected in 2018 from areas that were burned by wildfire in 2014 and 2015, and from nine unburned validation sites in the Northwest Territories, Canada. The data include vegetation inventories, ground cover, regrowth, tree diameter and height, and woody seedling/sprouting data at burned sites, and similar vegetation community characterization at unburned validation sites. Additional measurements included soil moisture, collected for validation of the UAVSAR airborne collection, and depth to frozen ground at the nine unburned sites. This 2018 fieldwork completes four years of field sampling at the wildfire areas.",
         "license": "proprietary"
     },
@@ -200130,7 +206487,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2445465291-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2445465291-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYWJvdmU6IG1vZGlzLWRlcml2ZWQgbWF4aW11bSBuZHZpLCBub3J0aGVybiBhbGFza2EgYW5kIHl1a29uIHRlcnJpdG9yeSBmb3IgMjAwMi0yMDE3XCIsXCJPUk5MX0NMT1VEXCIsXCJBbGFza2FfWXVrb25fTkRWSV8xNjE0XCIsXCIxXCIsMjE2MjE0NTQ5Miw1XSIsInVtbSI6IltcImFib3ZlOiBtb2Rpcy1kZXJpdmVkIG1heGltdW0gbmR2aSwgbm9ydGhlcm4gYWxhc2thIGFuZCB5dWtvbiB0ZXJyaXRvcnkgZm9yIDIwMDItMjAxN1wiLFwiT1JOTF9DTE9VRFwiLFwiQWxhc2thX1l1a29uX05EVklfMTYxNFwiLFwiMVwiLDIxNjIxNDU0OTIsNV0ifQ%3D%3D/Wildfires_NWT_Canada_2019_1900_1",
         "description": "This dataset provides vegetation community characteristics, soil moisture, and biophysical data collected in 2019 from 11 study areas, which contained 28 sites that were burned by wildfires in 2014 and 2015, and 14 unburned sites in the Northwest Territories (NWT), Canada. Burn sites included peatland and upland. These field data include vegetation inventories, ground cover, as well as diameter and height for trees and shrubs in the unburned sites. Similar data were collected for the unburned sites in the years 2015-18 and are available in related separate datasets. In 2019, the focus was on woody and non-woody seedling/sprouting regrowth data in the burned sites. Additional measurements collected at all sites included total peat depth, soil moisture, and active layer thickness (ALT). Soil moisture and ALT were collected for validation of the UAVSAR airborne collection and Radarsat-2 overpasses. This 2019 fieldwork completes five years of field sampling at the wildfire areas.",
         "license": "proprietary"
     },
@@ -200143,7 +206500,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969823-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969823-ORNL_CLOUD.html",
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         "description": "This data set provides environmental, soil, and vegetation data collected in July and August 1997 from 85 study plots in willow shrub communities located along a north-south transect from the Brooks Range to Prudhoe Bay on the North Slope of Alaska. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in three broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species, cover, indices, and biomass pools; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping, and analysis of geobotanical factors in the region and across Alaska.",
         "license": "proprietary"
     },
@@ -200169,7 +206526,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401778-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401778-ORNL_CLOUD.html",
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         "description": "This dataset provides annual gray wolf (Canis lupus) denning spatial information and timing, associated climatic and phenologic metrics, and reproductive success (i.e., pup survival) in wolf populations across areas of western Canada and Alaska within the NASA ABoVE Core Domain. The study encompasses 18 years between the period 2000-2017. Wolves were captured from eight populations following standard animal care protocols and released with Global Positioning System (GPS) collars. Data from 388 wolves were used to estimate den initiation dates (n=227 dens of 106 packs) and reproductive success in the eight populations. Each population was monitored from 1 to 12 years between 2000 and 2017. Denning parturition phenology was measured each year as the number of calendar days from January 1st to the initiation date of each documented denning event. Reproductive success was determined as to whether pups survived through the end of August following a reproductive event. To evaluate the effect of climate factors on reproductive phenology, aggregated seasonal climate metrics for temperature, precipitation, and snow water equivalent based on three biological seasons for seasonal wolf home ranges were produced. Normalized Difference Vegetation Index (NDVI) time-series data were used to estimate phenological metrics such as the start of the growing season (SOS), length of the growing season (LOS), and time-integrated NDVI (tiNDVI), and were summarized for the populations' home range.",
         "license": "proprietary"
     },
@@ -200377,7 +206734,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170972782-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170972782-ORNL_CLOUD.html",
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         "description": "This dataset provides a booklet documenting the discussions and outcomes from a knowledge-exchange meeting with Yup'ik elders from the Yukon-Kuskokwim Delta (YKD), western Alaska, community members, and natural scientist to discuss landscape and weather changes that have been observed in their homelands. The meeting was held during November 14-16, 2018. Yup'ik participants represented several YKD villages that occupy very different biophysical environments, and they have lifelong perspectives of environmental conditions and change that predate the era of Earth-observing satellites by many decades. Nearly 16 hours of discussion and testimonials from YKD elders were recorded during the meeting. The booklet is structured according to the environmental change processes that were discussed (e.g., coastal flooding, permafrost thaw, shrub expansion, climate change) and includes narrative summaries, quotations from participants, graphical illustrations, and examples of the field- and remote-sensing-based scientific findings, and map products developed as part of the larger ABoVE project.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773252554-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773252554-ORNL_CLOUD.html",
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         "description": "This data set provides the distribution of young forests (forests less than 27 years of age) and their estimated stand ages across the full extent of Russia at 500-m resolution for the year 2012. The distribution of young forests was modeled with MODIS 500-m records for 12- to 27-year-old forests and augmented with the 0- to 11-year-old forest distribution as aggregated from 30 m resolution contemporary Landsat imagery.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216862657-ORNL_CLOUD.html",
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         "description": "A compilation of worldwide soil carbon and nitrogen data for more than 3500 soil profiles.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777326924-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777326924-ORNL_CLOUD.html",
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         "description": "The data set contains a subset of a global organic soil carbon and nitrogen data set (Zinke et al. 1986). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The point data are available in three formats: a comma-delimited ASCII file (*.csv), an ESRI shapefile, and an ESRI export file (*.e00).The data for the global data set (Zinke et al. 1986) were obtained from soil surveys conducted by Zinke in 1965-1984 and from soil survey literature. The main samples for laboratory analyses were collected at uniform soil increments and included bulk density determinations. Many samples reported in the literature did not have uniform soil increments or bulk density determinations. Only soil profiles that had been sampled either to a meter in depth or to actual depth were included in this database from soil survey literature. When carbon content was known but bulk densities were absent from soil samples reported in the literature, densities were estimated by regression analysis on the basis of the relationship between organic carbon content and measured bulk density in 1800 soil profiles for which bulk densities were known.Further information can be found at ftp://daac.ornl.gov/data/lba/carbon_dynamics/Zinke_soil/comp/zinke_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
         "license": "proprietary"
     },
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         "description": "A global data set of soil types is available at 0.5-degree latitude by 0.5-degree longitude resolution. There are 106 soil units, based on Zobler's (1986) assessment of the FAO/UNESCO Soil Map of the World. This data set is a conversion of the Zobler 1-degree resolution version to a 0.5-degree resolution.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216862716-ORNL_CLOUD.html",
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         "description": "A global digital data base of soil properties is available at 1 degree longitude resolution.  For each land cell, the data base includes major and associated soil units, surface texture, and slope; phase and miscellaneous land units are included where available. The data base was compiled as part of an effort to improve modeling of the hydrologic cycle in the GISS Genreal Circulation Model.",
         "license": "proprietary"
     },
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         "description": "Contains 5-day averages of hourly and daily data from 23 meteorological stations across Canada along with full-resolution upper air measurements from 1 station in The Pas, Manitoba.",
         "license": "proprietary"
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@@ -201352,7 +207709,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812433046-ORNL_CLOUD.html",
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         "description": "Contains basic upper-air parameters collected by the AFM-05 team from the network of upper-air stations during the 1993, 1994, and 1996 field campaigns over the entire study region.",
         "license": "proprietary"
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@@ -201365,7 +207722,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807616315-ORNL_CLOUD.html",
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         "description": "Basic upper-air parameters interpolated at 0.5 kiloPascal increments of atmospheric pressure from the network of upper-air stations during the 1993, 1994, and 1996 field campaigns over the entire study region.",
         "license": "proprietary"
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@@ -201391,7 +207748,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807618371-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807618371-ORNL_CLOUD.html",
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         "description": "Contains AFM-06 hourly inversion height measurements.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807620192-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807620192-ORNL_CLOUD.html",
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         "description": "Contains the AFM-06 temperature profiler data near the Old Jack Pine site in the Southern Study Area.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807620384-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807620384-ORNL_CLOUD.html",
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         "description": "Contains the AFM-06 wind profiler data near the Old Jack Pine site in the Southern Study Area.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807620577-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807620577-ORNL_CLOUD.html",
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         "description": "Contains the AFM-06 surface meteorological data near the Old Jack Pine site in the Southern Study Area.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2759282019-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2759282019-ORNL_CLOUD.html",
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         "description": "Reports from the BOREAS AFM-11 team regarding quality control and sampling analysis of data collected by other AFM personnel using the Electra, LongEZ, and Twin Otter aircraft.   These reports are stored in Adobe Acrobat (.PDF) format.",
         "license": "proprietary"
     },
@@ -201456,7 +207813,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813393915-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813393915-ORNL_CLOUD.html",
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         "description": "Not technically a data set, this is a report of the cross-comparison of data collected by various flux aircraft. Reports of these analyses are available as TIF and ASCII files. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091861-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091861-ORNL_CLOUD.html",
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         "description": "Parameters include wind direction, wind speed, west wind component (u), south wind component (v), static pressure, air dry bulb temperature, potential temperature, dewpoint, temperature, water vapor mixing ratio, and CO2 concentration.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092111-ORNL_CLOUD.html",
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         "description": "Measurements of wind speed and direction, air pressure and temperature, potential temperature, dewpoint, mixing ratio of H2O, CO2 concentration, and ozone concentration over the NSA, SSA, and the transect during BOREAS IFCs 1, 2, and 3 during 1994.",
         "license": "proprietary"
     },
@@ -201495,7 +207852,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091890-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091890-ORNL_CLOUD.html",
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         "description": "Measurements of the fluxes of momentum, sensible and latent heat, carbon dioxide, and ozone over the entire BOREAS region to tie together measurements made in both the SSA and the NSA.",
         "license": "proprietary"
     },
@@ -201508,7 +207865,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092218-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092218-ORNL_CLOUD.html",
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         "description": "Measurements include concentrations of carbon dioxide and ozone, atmospheric pressure, dry bulb temperature, potential temperature, dewpoint temperature, calculated mixing ratio, and wind speed and direction at both the NSA and the SSA in 1994 and 1996.",
         "license": "proprietary"
     },
@@ -201521,7 +207878,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092173-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092173-ORNL_CLOUD.html",
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         "description": "Measurements in the boundary layer of the fluxes of sensible and latent heat, momentum, ozone, methane, and carbon dioxide, plus supporting meteorological parameters such as temperature, humidity, and wind speed and direction.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2928013317-ORNL_CLOUD.html",
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         "description": "The BOREAS AFM-06 team from the National Oceanic and Atmospheric Administration Environmental Technology Laboratory (NOAA/ETL) operated a 35 GHz cloud-sensing radar in the Northern Study Area (NSA) near the Old Jack Pine (OJP) tower from 16-Jul-1994 to 08-Aug-1994.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784383572-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784383572-ORNL_CLOUD.html",
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         "description": "This data set includes the soil and vegetation characteristics, herbivore estimates, and precipitation measurement data for the 854 sites described and analyzed in Sankaran et al., 2005. Savannas are globally important ecosystems of great significance to human economies. In these biomes, which are characterized by the co-dominance of trees and grasses, woody cover is a chief determinant of ecosystem properties. The availability of resources (water, nutrients) and disturbance regimes (fire, herbivory) are thought to be important in regulating woody cover but perceptions differ on which of these are the primary drivers of savanna structure. Analyses of data from 854 sites across Africa (Figure 1) showed that maximum woody cover in savannas receiving a mean annual precipitation (MAP) of less than approximately 650 mm is constrained by, and increases linearly with, MAP. These arid and semi-arid savannas may be considered stable systems in which water constrains woody cover and permits grasses to coexist, while fire, herbivory and soil properties interact to reduce woody cover below the MAP-controlled upper bound. Above a MAP of approximately 650 mm, savannas are unstable systems in which MAP is sufficient for woody canopy closure, and disturbances (fire, herbivory) are required for the coexistence of trees and grass. These results provide insights into the nature of African savannas and suggest that future changes in precipitation may considerably affect their distribution and dynamics (Sankaran et al., 2005).This data set includes the site characteristics and measurement data for the 854 sites described and analyzed in Sankaran et al., 2005.  The data are provided in two formats, *.xls and *.csv. See the data format section below for more information. A companion document composed of the supplemental documentation and figures provided with Sankaran et al., 2005 is also included (ftp://daac.ornl.gov/data/global_vegetation/african_woody_savanna/comp/Woody_Cover.pdf).",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785340637-ORNL_CLOUD.html",
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         "description": "This data set contains the calculated net ocean-air carbon dioxide (CO2) flux and sea-air CO2 partial pressure (pCO2) difference. The estimates are based on approximately one million measurements made for the pCO2 in surface waters of the global ocean since the International Geophysical Year, 1956-1959. Only the ocean water pCO2 values measured using direct gas-seawater equilibration methods were used. The results represent the climatological distributions under non-El Nino conditions. Since the measurements were made in different years, during which the atmospheric pCO2 was increasing, they were corrected to a single reference year (arbitrarily chosen to be 1995) on the basis of the following assumptions: -Surface waters in subtropical gyres mix vertically at slow rates with subsurface waters due to the presence of strong stratification at the base of the mixed layer. This will allow a long contact time with the atmosphere to exchange CO2. Therefore, their CO2 chemistry tends to follow the atmospheric CO2 increase. Accordingly, the pCO2 measured in a given month and year is corrected to the same month of the reference year 1995 using changes in the atmospheric CO2 concentration occurred during this period.-Oceanic pCO2 measurements made after the beginning of 1979 have been corrected to 1995 using the atmospheric CO2 concentration data from the GLOBALVIEW-CO2 database (2000), in which the zonal mean atmospheric concentrations (for each 0.05 in sine of latitude) within the planetary boundary layer are summarized for each month since 1979 to 2000.-Pre-1979 oceanic pCO2 data were corrected to 1979 using the annual mean trend for the global mean atmospheric CO2 concentration constructed from the Mauna Loa data of Keeling and Whorf (2000), and then from 1979 to 1995 using the GLOBALVIEW-CO2 database. -Measurements for pCO2 made in the following areas have been corrected for the time of observation; 45 degrees N, 50  degrees S, in the Atlantic Ocean, north of 50 degrees S in the Indian Ocean, 40 degrees N, 50 degrees S in the western Pacific west of the date line, and 40 degrees N, 60 degrees S, in the eastern Pacific east of the date line. ",
         "license": "proprietary"
     },
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         "description": "Satellite and aircraft SAR data used in conjunction with various ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high-resolution images that represent the radar backscatter of the imaged surface at different frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV).",
         "license": "proprietary"
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         "description": "Satellite and aircraft SAR data used in conjunction with various ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high resolution images that represent the radar backscatter of the imaged surface atdifferent frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV). The level-3b AIRSAR SY data are the JPL synoptic product and contain 3 of the 12 total frequency and polarization combinations that are possible.",
         "license": "proprietary"
     },
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         "description": "The precipitation data is 0.2 degree gridded monthly precipitation data based upon monthly rain data from Peru and Bolivia and daily rain data from Brazil. The extent of the data ranges from 5.2N and -20.0S to -49.4W to -79.6W",
         "license": "proprietary"
     },
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         "description": "Contains data from 1993 from the Atmospheric Environment Service Campbell Scientific autostations collecting continuous fifteen minute data for BOREAS.  ",
         "license": "proprietary"
     },
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         "description": "Contains data from 1994 from the Atmospheric Environment Service Campbell Scientific autostations collecting continuous fifteen minute data for BOREAS.  ",
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         "description": "Contains data from 1995 from the Atmospheric Environment Service Campbell Scientific autostations collecting continuous fifteen minute data for BOREAS.  ",
         "license": "proprietary"
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         "description": "Contains data from 1996 from the Atmospheric Environment Service Campbell Scientific autostations collecting continuous fifteen minute data for BOREAS.  ",
         "license": "proprietary"
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         "description": "The level-0 AOCI imagery, along with the other remotely sensed images, was collected to provide spatially extensive information about radiant energy over the primary BOREAS study areas.  The AOCI was the only remote sensing instrument flown with wavelength bands specific to the investigation of various aquatic parameters such as chlorophyll content and turbidity. ",
         "license": "proprietary"
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         "description": "The BOREAS RSS-02 team used the ASAS instrument, mounted on the NASA C-130 aircraft, to create at-sensor radiance images of various sites as a function of spectral wavelength, view geometry (combinations of view zenith angle, view azimuth angle, solar zenith angle, and solar azimuth angle), and altitude.  The level-1b ASAS images of the BOREAS study areas were collected from April to September 1994 and March to July 1996.",
         "license": "proprietary"
     },
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         "description": "Contains calculated bidirectional reflectance factor means derived from extractions of C130-based ASAS measurements made during BOREAS.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785296327-ORNL_CLOUD.html",
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         "description": "The Continental Atmospheric CO2 Consumption data set represents gridded estimates for the riverine export of carbon and of sediments based on empirical models. All data exist for the overall continental area in a spatial resolution of 0.5 x 0.5 degree longitude/ latitude. The units are tC/km2/yr for all carbon species, and t/km2/yr for sediment fluxes. There are two data files (*.zip) with this data set which describe the following: dissolved organic carbon (DOC) export, particulate organic carbon (POC) export, bicarbonate export, export of bicarbonate being of atmospheric origin (also called atmospheric CO2 consumption by rock weathering), and sediment export.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784840966-ORNL_CLOUD.html",
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         "description": "This Albedo and BRDF (Bidirectional Reflectance Distribution Function) data set contains three files containing BRDF parameters, white- sky albedo and black-sky albedo at solar noon for three bands ((350-680nm, 680-3000nm, and 350-30000nm)derived from AVHRR (Advanced Very High Resolution Radiometer). These data are available at spatial resolutions of quarter, half, and one degree. Black-sky albedo (direct beam contribution) and white-sky (Completely diffuse contribution) can be linearly combined as a function of the fraction of diffuse skylight (itself a function of optical depth) to provide an actual or instantaneous albedo at local solar noon. ",
         "license": "proprietary"
     },
@@ -203068,7 +209425,7 @@
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         "description": "Data acquired from the AVHRR instrument on the NOAA-9, -11, -12, and -14 satellites were processed and archived. A few winter acquisitions are available, but the archive contains primarily growing season imagery.  These gridded, at-sensor radiance image data cover the period of 30-Jan-1994 to 18-Sep-1996.  Geographically, the data cover the entire 1000 km x 1000 km BOREAS Region.  ",
         "license": "proprietary"
     },
@@ -203081,7 +209438,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2846962375-ORNL_CLOUD.html",
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         "description": "These AVHRR level-4b data are gridded, 10-day composites of at-sensor radiance values produced from sets of single-day images.  Temporally, the 10-day compositing periods begin 11-Apr-1994 and end 10-Sep-1994.  Spatially, the data cover the entire BOREAS region.  ",
         "license": "proprietary"
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         "description": "These AVHRR level-4c data are gridded, 10-day composites of surface parameters produced from sets of single-day images.  Temporally, the 10-day compositing periods begin 11-Apr-1994 and end 10-Sep-1994.  Spatially, the data cover the entire BOREAS region.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2928013810-ORNL_CLOUD.html",
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         "description": "This regional land cover data set was developed as part of a multitemporal 1-km AVHRR land cover analysis approach that was used as the basis for regional land cover mapping, fire disturbance-regeneration, and multiresolution land cover scaling studies in the boreal forest ecosystem of central Canada (Steyaert et al., 1997).",
         "license": "proprietary"
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         "description": "This data set is an expanded version of the Costa et al. (2000) data set and consists of a single grid with values of 1 for cells within the basins and 0 for cells outside. The resolution of the data set is 5 x 5 min (approximately 9 x 9 km). The area of this data set is consistent with the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The data file is in ASCII GRID format.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784383281-ORNL_CLOUD.html",
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         "description": "This data set of leaf, stem, and root biomass for various plant taxa was compiled from the primary literature of the 20th century with a significant portion derived from Cannell (1982). Recent allometric  additions include measurements made by Niklas and colleagues (Niklas, 2003). This is a unique data set with which to evaluate allometric patterns of standing biomass within and across the broad spectrum of vascular plant species. Despite its importance to ecology, global climate research, and evolutionary and ecological theory, the general principles underlying how plant metabolic production is allocated to above- and below-ground biomass remain unclear. The resulting uncertainty severely limits the accuracy of models for many ecologically and evolutionarily important phenomena across taxonomically diverse communities. Thus, although quantitative assessments of biomass allocation patterns are central to biology, theoretical or empirical assessments of these patterns remain contentious",
         "license": "proprietary"
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         "description": "This biomass density image covers almost the entire BOREAS SSA.  The pixels for which biomass density is computed include areas that are in conifer land cover classes only.  The biomass density values represent the amount of overstory biomass (i.e., tree biomass only) per unit area.  It is derived from a Landsat-5 TM image collected on 02-Sep-1994.  The technique that was used to create this image is very similar to the technique that was used to create the physical classification of the SSA.",
         "license": "proprietary"
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         "description": "Derived maps of landcover type and crown and stem biomass as model inputs to determine annual evapotranspiration, gross primary production, autotrophic respiration and net primary productivity within the BOREAS SSA-MSA, at a 30 m spatial resolution.  Mode",
         "license": "proprietary"
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         "description": "BIOME-BGC is a general ecosystem process model designed to simulate biogeochemical and hydrologic processes across multiple scales.  BIOME-BGC is used to estimate daily water and carbon budgets for the BOREAS tower flux sites for 1994.",
         "license": "proprietary"
     },
@@ -203887,7 +210244,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2759278030-ORNL_CLOUD.html",
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         "description": "This data set contains hourly and daily meteorological data from 23 meteorological stations across Canada from January 1975 to January 1997. The surface meteorology parameters include: date, time, temperature, precipitation, snow, snow depth, sea level pressure, station pressure, dew point, wind direction, wind speed, dry and wet bulb temperature, relative humidity, cloud opacity and cloud amount.",
         "license": "proprietary"
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@@ -204264,7 +210621,7 @@
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         "description": "The photosynthetic composition (C3 or C4) of vegetation on the land surface is essential for accurate simulations of biosphere-atmosphere exchanges of carbon, water, and energy. C3 and C4 plants have different responses to light, temperature, CO2, and nitrogen; they also differ in physiological functions like stomatal conductance and isotope fractionation. A fine-scale distribution of these plant types is essential for earth science modeling.The C4 percentage is determined from data sets that describe the continuous distribution of plant growth forms (i.e., the percent of a grid cell covered by herbaceous or woody vegetation), climate classifications, the fraction of a grid cell covered in croplands, and national crop type harvest area statistics. The staff from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II have made the original data set consistent with the ISLSCP-2 land/water mask. This data set contains a single file in ArcInfo ASCIIGRID format.This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.",
         "license": "proprietary"
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         "description": "In order to improve the comparability of trace gas measurements made by various science teams, the BOReal Ecosystem-Atmosphere Study (BOREAS) obtained several cylinders of carbon dioxide (CO2) and methane (CH4) that were used as calibration standards.",
         "license": "proprietary"
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         "description": "The CENTURY model, Version 4, is a general model of plant-soil nutrient cycling that is being used to simulate carbon and nutrient dynamics for different types of ecosystems including grasslands, agricultural lands, forests and savannas. CENTURY is composed of a soil organic matter/ decomposition submodel, a water budget model, a grassland/crop submodel, a forest production submodel, and management and events scheduling functions.",
         "license": "proprietary"
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         "description": "Canopy characteristics: leaf chemistry, specific leaf area, LAI, PAR, IPAR, NPP, standing biomass--see also: Meteorology (OTTER) for associated meteorological conditions",
         "license": "proprietary"
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         "description": "This data set contains decadal (1950, 1960, 1970, 1980, 1990 and 1995) estimates of gridded fossil-fuel emissions, expressed in 1,000 metric tons C per year per one degree latitude by one degree longitude. The CO2 emissions are the summed emissions from fossil-fuel burning, hydraulic cement production and gas flaring. The years 1950 to 1990 were developed and compiled using somewhat different procedures and information than the 1995 data. The national annual estimates (Boden et al., 1996) from 1950 to 1990 were allocated to one degree grid cells based on gridded information on national boundaries and political units, and a 1984 gridded human population map (Andres et al., 1996). For the 1995 data, the population data base developed by Li (1996a) and documented by CDIAC (DB1016: Li, 1996b) was used as proxy to grid the 1995 emission estimates. There is one *.zip data file with this data set at 1.0 degree spatial resolution.",
         "license": "proprietary"
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         "description": "This data set contains the ISLSCP II fixed land/water masks and percentages of land or water in each cell. There are seven zip data files: four produced from a 1-km land/water mask compiled at the Jet Propulsion Laboratory (JPL) in support of NASA's Earth Observing System;  two files of a land outline overlay created from the land/water mask files created at NASA's Goddard Space Flight Center; and one file which is a latitude grid coordinate file and longitude grid coordinate file produced by the ISLSCP II staff. All of these data are provided at three spatial resolutions of .25, 0.5 and 1-degree in latitude and longitude and on a common Earth grid.",
         "license": "proprietary"
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         "description": "The University of New Hampshire (UNH)/Global Runoff Data Centre (GRDC) composite runoff data combines simulated water balance model runoff estimates derived from climate forcing with monitored river discharge. It can be viewed as a data assimilation applied in a water balance model context (conceptually similar to the commonly used 4DDA techniques used in meteorological modeling). Such a data assimilation scheme preserves the spatial specificity of the water balance calculations while constrained by the more accurate discharge measurement. There are 11 data files in this data set and 1 changemap file which shows the differences between the ISLSCP II land/water mask and the original data set.",
         "license": "proprietary"
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         "description": "This data set contains monthly climate time series data created by the Climatic Research Unit (CRU) at the University of East Anglia, U.K.,for every year covering the period 1986 to 1995. This time series is a subset of a larger CRU monthly data set that covers the period of 1901 to 1996.  The data comprise a suite of six climate elements: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapor pressure, and cloud cover. There are 13 files in this data set provided at 0.5 and 1.0 degree spatial resolutions. ",
         "license": "proprietary"
     },
@@ -205941,7 +212298,7 @@
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         "description": "This data set contains a mean monthly climatology for several climate variables averaged over the period from 1961 to 1990,  and constructed from a data set of station 1961-1990 climatological normals, numbering between 19,800 (precipitation) and 3,615 (windspeed; see New et al, 1999 for details). The station data were interpolated as a function of latitude, longitude and elevation using thin-plate splines. The data comprise a suite of climate elements: precipitation, mean, maximum, and minimum  temperature, frost frequency, diurnal temperature range, radiation, wet-day frequency, vapor pressure, wind, and cloud cover. There are 23 files in this data set provided at 0.5 and 1.0 degree spatial resolutions.  ",
         "license": "proprietary"
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         "description": "The level-0 Daedalus TMS imagery, along with the other remotely sensed images, was collected to provide spatially extensive information about radiant energy over the primary BOREAS study areas.  This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2556025141-ORNL_CLOUD.html",
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         "description": "This data set contains forest canopy scan data from the Echidna? Validation Instrument (EVI) and field measurements data from three campaigns conducted in the United States: 2007 New England Campaign; 2008 Sierra National Forest Campaign; and 2009 New England Campaign. The New England field sites were located in Harvard Forest (Massachusetts), Howland Research Forest (Maine), and the Bartlett Experimental Forest (New Hampshire).The objective of the research was to evaluate the ability of the EVI ground-based, scanning near-infrared lidar to retrieve stem diameter, stem count density, stand height, leaf area index, foliage profile, foliage area volume density, and other useful forest structural parameters rapidly and accurately.The EVI scan data are Andrieu Transpose (AT) Projection images in ENVI *.img and *.hdr file pairs. There are 28 images from the 2007 New England Campaign, 30 images from the 2008 Sierra National Forest Campaign, and 54 images from the 2009 New England Campaign. There are range-weighted mean preview image files (.jpg format) for each AT Projection image.Manual measurements of tree structural properties were made during each campaign at EVI scan locations. The field measurements are provided in one file for each campaign (.csv format). Parameters include species identification, DBH, tree height, crown base, etc. organized by field plot. There is also a data file (.csv format) which compares EVI derived measurements to the field measured data (DBH, stem density, basal area, biomass, and LAI) from the 2007 New England Campaign.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093190-ORNL_CLOUD.html",
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         "description": "Hourly data from the ECMWF operational model from below the surface to the top of the atmosphere, including the model fluxes at the surface, at Candle Lake, Saskatchewan, in the SSA and Thompson, Manitoba, in the NSA 13-May-1994 to 30-Sept-1994 and 01-Mar-1996 to 31-Mar-1997.",
         "license": "proprietary"
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         "description": "This data set for the ISLSCP Initiative II data collection provides meteorology data with fixed, monthly, monthly-6-hourly, 6-hourly, and 3-hourly temporal resolutions. The data were derived from the European Centre for Medium-range Weather Forecasts (ECMWF) near-surface meteorology data set, 40-year re-analysis, or ERA-40 (Simmons and Gibson, 2000), which covers the years 1957 to 2001. The data were processed onto the ISLSCP II Earth grid with a spatial resolution of 1-degree in both latitude and longitude, and span the common ISLSCP II period from 1986 to 1995.The ECMWF forecast system is called the Integrated Forecasting System (IFS) and was developed in co-operation with Meteo-France. For ERA40 it is used with 60 levels from the top of the model at 10 Pa to the lowest level at about 10 m above the surface. There are 46 compressed (.tar.gz) data files with this data set. Each uncompressed file contains space-delimited text (.asc) data files.",
         "license": "proprietary"
     },
@@ -207566,7 +213923,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784847849-ORNL_CLOUD.html",
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         "description": "The goal of this study was to predict the global distribution of plant rooting depths based on data about global aboveground vegetation structure and climate. Vertical root distributions influence the fluxes of water, carbon, and soil nutrients and the distribution and activities of soil fauna. Roots transport nutrients and water upwards, but they are also pathways for carbon and nutrient transport into deeper soil layers and for deep water infiltration. Roots also affect the weathering rates of soil minerals. For calculating such processes on a global scale, data on vertical root distributions are needed as inputs to global biogeochemistry and vegetation models. In the Project for Intercomparison of Land Surface Parameterization Schemes (PILPS), rooting depth and vertical soil characteristics were the most important factors explaining scatter for simulated transpiration among 14 land-surface models. Recently, the Terrestrial Observation Panel for Climate of the Global Climate Observation System (GCOS) identified the 95% rooting depth as a key variable needed to quantify the interactions between the climate, soil, and plants, stating that the main challenge was to find the correlation between rooting depth and soil and climate features (GCOS/GTOS Terrestrial Observation Panel for Climate 1997). In response to this challenge, a data set of vertical rooting depths was collected from the literature in order to construct maps of global ecosystem rooting depths.The parameters included in these data sets are estimates for the soil depths containing 50% and 95% of all roots, termed 50% and 95% rooting depths (D50 and D95, respectively). Together, these variables can be used to calculate estimates for vertical root distributions, using a logistic equation provided in this documentation. The data represent mean ecosystem rooting depths for 1 by 1 degree grid cells. Related data sets: The ORNL DAAC offers related data sets by Jackson et al. (2003), Gordon and Jackson (2003), Schenk and Jackson (2003), and Gill and Jackson (2003).This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.",
         "license": "proprietary"
     },
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         "description": "This data set describes the geographic distributions of 17 classes of land cover based on the International Geosphere-Biosphere DISCover land cover legend (Loveland and Belward 1997) and the 15 classes of the SiB model processed at the USGS EROS Data Center (EDC). Specifically, the resampled DISCover datasets were derived from the 1km DISCover data set compiled by the USGS. The 1km data sets for each classification scheme were aggregated to 1, 0.5 and 0.25 degree spatial resolutions for this ISLSCP II data collection. Each layer of the aggregated products corresponds to a single DISCover land cover category and the values represent the percentage of the coarse resolution cell (1 degree, etc...)occupied by that land cover category. The dominant class data show the land cover category that occupies the majority of the cell and is derived from the percentage files for each cover type. The objective of this study was to create a land cover map derived from 1 kilometer AVHRR data using a full year of data (April 1992-March 1993). This thematic map was resampled to 0.25, 0.5 and 1.0 degree grids for the International Satellite Land Surface Climatology Project (ISLSCP) data initiative II. During this re-processing, the original EDC land cover type and fraction maps were adjusted to match the water/land fraction of the ISLSCP II land/water mask. These maps were generated for use by global modelers and others. This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.",
         "license": "proprietary"
     },
@@ -207631,7 +213988,7 @@
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         "description": "The EDGAR (Emission Database for Global Atmospheric Research) database project is a comprehensive task carried out jointly by the National Institute for Public Health (RIVM) and the Netherlands Organization for Applied Scientific Research (TNO) and stores global emission inventories of direct and indirect greenhouse gases from anthropogenic sources including halocarbons and aerosols both on a per country and region basis as well as on a grid (see http://www.rivm.nl/edgar/). For the ISLSCP Initiative II data collection, gridded global annual anthropogenic emissions for the greenhouse gases CO2, CH4, N2O are provided on a 1.0 degree by 1.0 degree grid for the years 1970, 1980, 1990, and 1995 and for the tropospheric ozone precursor gases CO, NOx, NMVOC (Non-Methane Volatile Organic Compounds) and SO2 for the years 1990 and 1995. There are 2 *.zip data files with this data set.",
         "license": "proprietary"
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         "description": "Elevation contours over the NSA and SSA in ARC/Info Generate Format.  Data cover portions of the BOREAS Northern Study Area (NSA) and Southern Study Area (SSA) and are on a scale of 1:50,000.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761665819-ORNL_CLOUD.html",
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         "description": "During 1994 and 1996, digital and analog imaging instruments mounted on the NASA ER2 aircraft collected various remotely sensed data from the atmosphere and earth's surface as part of the BOReal Ecosystem-Atmosphere Study (BOREAS) Intensive Field Campaigns (IFC).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784882228-ORNL_CLOUD.html",
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         "description": "This data set, ISLSCP II Earth Radiation Budget Experiment (ERBE) Monthly Albedo, 1986-1990, contains both the original ERBE albedo data at 2.5 degree spatial resolution, and the International Land Surface Climatology Project Initative II (ISLSCP Initiative II) albedo product re-gridded to 1 degree resolution. The goals of the ERBE were (1) to understand the radiation balance between the Sun, Earth, atmosphere, and space and (2) to establish an accurate, long-term baseline data set for detection of climate changes. Earth Radiation Budget (ERB) data are fundamental to the development of realistic climate models and to the understanding of natural and anthropogenic perturbations of the climate system. As part of ERBE, measurements of broadband shortwave radiation reflected from the Earth-atmosphere system were obtained, from which top of atmosphere albedo values were calculated. In addition, values from scenes determined to be free of clouds were analyzed separately and clear-sky albedos were derived. For this study, only the clear-sky albedos are included. The ERBE data sets for ISLSCP Initiative II contain global, top of atmosphere, clear sky albedo data from January 1986 to February 1990.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807614767-ORNL_CLOUD.html",
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         "description": "Contains mission information and moving window data for AFM-01 BOREAS flux aircraft runs during 1994. Contains mission information and data for AFM-02 BOREAS flux aircraft runs during 1994.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784891689-ORNL_CLOUD.html",
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         "description": "The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) data set and derived biophysical parameter fields were generated to provide a 17-year, satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. This multiple resolution (1/4, 1/2 and 1 degree in latitude and longitude) biophysical parameter data set contains essential variables for the calculation of photosynthesis, and the energy and water exchange between the Earth's surface (in particular of vegetation) and the lower boundary layer of the atmosphere. The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is related to the light absorption and the photosynthetic capacity of vegetation. It also serves as an intermediate variable to calculate vegetation cover fraction (Vcover), total Leaf Area Index (LAI_T), green leaf area index (LAI_G), roughness length (z0), zero plane displacement (d), and snow-free albedo. The biophysical parameters were derived assuming one canopy layer. The production of the FASIR NDVI data set and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection.",
         "license": "proprietary"
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         "description": "The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) data sets were generated to provide a 17-year, satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. FASIR-NDVI data are also used in climate models and biogeochemical models to calculate photosynthesis, the exchange of CO2 between the atmosphere and the land surface, land-surface evapotranspiration and the absorption and release of energy by the land surface. There are three data files provided at spatial resolutions of 0.25, 0.5 and 1.0 degree in latitude and longitude. FASIR adjustments concentrated on reducing NDVI variations arising from atmospheric, calibration, view and illumination geometries and other effects not related to actual vegetation change.FASIR NDVI was also generated to provide inputs for computing a 17-year time series of associated biophysical parameters, provided as a separate data set in this data collection. The production of the FASIR NDVI data set and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection.",
         "license": "proprietary"
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         "description": "Site averaged product of the flux data collected by many PIs during the 1987-1989 FIFE experiment. Data are in 30-minute intervals and include the entire period 1987-1989.",
         "license": "proprietary"
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         "description": "A comprehensive global database has been assembled to quantify CO2 fluxes and pathways across different levels of integration (from photosynthesis up to net ecosystem production) in forest ecosystems. The database fills an important gap for model calibration, model validation, and hypothesis testing at global and regional scales. The database archive includes: a Microsoft Office Access Database; data files for all tables in the database; query outputs from the database; and SQL script file for re-creating the database from the tables. The database is structured by site (i.e., a forest or stand of known geographical location, biome, species composition, and management regime). It contains carbon budget variables (fluxes and stocks), ecosystem traits (standing biomass, leaf area index, age), and ancillary information (management regime, climate, soil characteristics) for 529 sites from eight forest biomes. Data entries originated from peer-reviewed literature and personal communications with researchers involved in Fluxnet. Flux estimates were included in the database when they were based on direct measurements (e.g., tower-based eddy covariance system measurements), derived from single or multiple direct measurements, or modeled. Stand description was based on observed values, and climatic description was based on the CRU data set and ORCHIDEE model output. Uncertainty for each carbon balance component in the database was estimated in a uniformed way by expert judgment. Robustness of CO2 balances was tested, and closure terms were introduced as a numerical way to approach data quality and flux uncertainty at the biome level.",
         "license": "proprietary"
     },
@@ -211275,6 +217632,19 @@
         "description": "Complete extract of Fauna Database of WSL, containing all projects and all taxa. Meant as exchange and citation platform for sharing the data with the national data centre 'Centre Suisse de la Cartographie de la Fauna (CSCF)', and Info Fauna.",
         "license": "proprietary"
     },
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+        "title": "SAGE III Meteor-3M L2 Monthly Cloud Presence Data (HDF-EOS) V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-12-10",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215264923-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215264923-LARC_CLOUD.html",
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+        "description": "A monthly data file coincident with solar event granules, that provides information about cloud presence during data capture of the granules",
+        "license": "proprietary"
+    },
     {
         "id": "g3acld_003",
         "title": "SAGE III Meteor-3M L2 Monthly Cloud Presence Data (HDF-EOS) V003",
@@ -211301,6 +217671,19 @@
         "description": "A monthly data file coincident with solar event granules, that provides information about cloud presence during data capture of the granules",
         "license": "proprietary"
     },
+    {
+        "id": "g3acldb_003",
+        "title": "SAGE III Meteor-3M L2 Monthly Cloud Presence Data (Native) V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-12-10",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215264949-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215264949-LARC_CLOUD.html",
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+        "description": "A monthly data file coincident with solar event granules, that provides information about cloud presence during data capture of the granules",
+        "license": "proprietary"
+    },
     {
         "id": "g3alsp_003",
         "title": "SAGE III Meteor-3M L2 Lunar Event Species Profiles (HDF-EOS) V003",
@@ -211314,6 +217697,32 @@
         "description": "A Level 2 data file containing all the species products for a single lunar event",
         "license": "proprietary"
     },
+    {
+        "id": "g3alsp_003",
+        "title": "SAGE III Meteor-3M L2 Lunar Event Species Profiles (HDF-EOS) V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-12-10",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215260899-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215260899-LARC_CLOUD.html",
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+        "description": "A Level 2 data file containing all the species products for a single lunar event",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3alspb_003",
+        "title": "SAGE III Meteor-3M L2 Lunar Event Species Profiles (Native) V003",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-12-10",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215260968-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215260968-LARC_CLOUD.html",
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+        "description": "A Level 2 data file containing all the species products for a single lunar event",
+        "license": "proprietary"
+    },
     {
         "id": "g3alspb_003",
         "title": "SAGE III Meteor-3M L2 Lunar Event Species Profiles (Native) V003",
@@ -211340,6 +217749,32 @@
         "description": "A Level 2 data file containing all the species products for a single solar event",
         "license": "proprietary"
     },
+    {
+        "id": "g3assp_004",
+        "title": "SAGE III Meteor-3M L2 Solar Event Species Profiles (HDF-EOS) V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-12-10",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215264962-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215264962-LARC_CLOUD.html",
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+        "description": "A Level 2 data file containing all the species products for a single solar event",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3asspb_004",
+        "title": "SAGE III Meteor-3M L2 Solar Event Species Profiles (Native) V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-12-10",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215261129-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215261129-LARC_CLOUD.html",
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+        "description": "A Level 2 data file containing all the species products for a single solar event",
+        "license": "proprietary"
+    },
     {
         "id": "g3asspb_004",
         "title": "SAGE III Meteor-3M L2 Solar Event Species Profiles (Native) V004",
@@ -211353,6 +217788,19 @@
         "description": "A Level 2 data file containing all the species products for a single solar event",
         "license": "proprietary"
     },
+    {
+        "id": "g3at_004",
+        "title": "SAGE III Meteor-3M L1B Solar Event Transmission Data (HDF-EOS) V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-12-10",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215261216-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215261216-LARC_CLOUD.html",
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+        "description": "Level 1B pixel group transmission profiles for a single solar event",
+        "license": "proprietary"
+    },
     {
         "id": "g3at_004",
         "title": "SAGE III Meteor-3M L1B Solar Event Transmission Data (HDF-EOS) V004",
@@ -211379,6 +217827,32 @@
         "description": "Level 1B pixel group transmission profiles for a single solar event",
         "license": "proprietary"
     },
+    {
+        "id": "g3atb_004",
+        "title": "SAGE III Meteor-3M L1B Solar Event Transmission Data (Native) V004",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2001-12-10",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215261312-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215261312-LARC_CLOUD.html",
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+        "description": "Level 1B pixel group transmission profiles for a single solar event",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3baer_1",
+        "title": "SAGE III/ISS L2 Monthly Aerosol Product (NetCDF) V001",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116795973-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116795973-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3baer_1",
+        "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.      g3baer_1 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Aerosol Product (NetCDF) V001 data product. It contains all of the aerosol data and flags for a month of solar events.      Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3baer_1",
         "title": "SAGE III/ISS L2 Monthly Aerosol Product (NetCDF) V001",
@@ -211405,6 +217879,19 @@
         "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.      g3baer_11 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Aerosol Product (NetCDF) V011 data product. It contains all of the aerosol data and flags for a month of solar events.      Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3blmnc_52",
+        "title": "SAGE III/ISS L2 Monthly Lunar Event Species Profiles (NetCDF) V052",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-05-31",
+        "end_date": "2023-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796216-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796216-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blmnc_52",
+        "description": "g3blmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Lunar Event Species Profiles (NetCDF) V052 data product. It contains all the species products for a month of lunar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3blmnc_52",
         "title": "SAGE III/ISS L2 Monthly Lunar Event Species Profiles (NetCDF) V052",
@@ -211431,6 +217918,58 @@
         "description": "g3blmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Lunar Event Species Profiles (NetCDF) V053 data product. It contains all the species products for a month of lunar events.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3blmnc_53",
+        "title": "SAGE III/ISS L2 Monthly Lunar Event Species Profiles (NetCDF) V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-05-30",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796107-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796107-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blmnc_53",
+        "description": "g3blmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Lunar Event Species Profiles (NetCDF) V053 data product. It contains all the species products for a month of lunar events.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3blsp_051",
+        "title": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF-EOS) V051",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-03-17",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796507-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796507-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blsp_051",
+        "description": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF-EOS) V5.1 is a Level 2 data file containing all the species products for a single lunar event. Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III-ISS) is the second instrument from the SAGE III project, externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3blsp_5",
+        "title": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF-EOS) V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-01",
+        "end_date": "2017-12-29",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796623-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796623-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blsp_5",
+        "description": "g3blsp_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF-EOS) Version 5 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3blsp_52",
+        "title": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF5) V052",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-01",
+        "end_date": "2023-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796373-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796373-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blsp_52",
+        "description": "g3blsp_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF5) V052 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3blsp_52",
         "title": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF5) V052",
@@ -211444,6 +217983,19 @@
         "description": "g3blsp_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF5) V052 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3blsp_53",
+        "title": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF5) V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-05-31",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796310-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796310-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blsp_53",
+        "description": "g3blsp_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF5) V053 data product. It contains all the species products for a single lunar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3blsp_53",
         "title": "SAGE III/ISS L2 Lunar Event Species Profiles (HDF5) V053",
@@ -211457,6 +218009,32 @@
         "description": "g3blsp_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF5) V053 data product. It contains all the species products for a single lunar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3blspb_5",
+        "title": "SAGE III/ISS L2 Lunar Event Species Profiles (Native) V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-01",
+        "end_date": "2017-12-29",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796958-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796958-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blspb_5",
+        "description": "g3blspb_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) Version 5 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3blspb_51",
+        "title": "SAGE III/ISS L2 Lunar Event Species Profiles (Native) V051",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-01",
+        "end_date": "2021-02-28",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796803-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796803-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blspb_51",
+        "description": "g3blspb_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V051 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3blspb_52",
         "title": "SAGE III/ISS L2 Lunar Event Species Profiles (Native) V052",
@@ -211470,6 +218048,32 @@
         "description": "g3blspb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V052 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3blspb_52",
+        "title": "SAGE III/ISS L2 Lunar Event Species Profiles (Native) V052",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-01",
+        "end_date": "2023-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165141710-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165141710-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blspb_52",
+        "description": "g3blspb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V052 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3blspb_53",
+        "title": "SAGE III/ISS L2 Lunar Event Species Profiles (Native) V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-05-31",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796709-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116796709-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3blspb_53",
+        "description": "g3blspb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V053 data product. It contains all the species products for a single lunar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3blspb_53",
         "title": "SAGE III/ISS L2 Lunar Event Species Profiles (Native) V053",
@@ -211496,6 +218100,32 @@
         "description": "g3bsmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Solar Event Species Profiles (NetCDF) V052 data product. It contains all of the species products for a month of solar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3bsmnc_52",
+        "title": "SAGE III/ISS L2 Monthly Solar Event Species Profiles (NetCDF) V052",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-05-31",
+        "end_date": "2023-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797171-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797171-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bsmnc_52",
+        "description": "g3bsmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Solar Event Species Profiles (NetCDF) V052 data product. It contains all of the species products for a month of solar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3bsmnc_53",
+        "title": "SAGE III/ISS L2 Monthly Solar Event Species Profiles (NetCDF) V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-05-31",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797064-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797064-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bsmnc_53",
+        "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bsmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Solar Event Species Profiles (NetCDF) V053 data product. It contains all of the species products for a month of solar events.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3bsmnc_53",
         "title": "SAGE III/ISS L2 Monthly Solar Event Species Profiles (NetCDF) V053",
@@ -211509,6 +218139,58 @@
         "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bsmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Solar Event Species Profiles (NetCDF) V053 data product. It contains all of the species products for a month of solar events.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3bssmc_52",
+        "title": "SAGE III/ISS SSMC data file",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797316-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797316-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/g3bssmc_52",
+        "description": "g3bssmc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Raw SSMC data file. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3bssmc_53",
+        "title": "SAGE III/ISS, Raw Level 0 Data V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-03-17",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797255-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797255-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/g3bssmc_53",
+        "description": "SAGE III/ISS, Raw Level 0 Data V5.3 consists of Raw Level 0 data received from Mission Operations Center. Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III-ISS) is the second instrument from the SAGE III project, externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3bssp_5",
+        "title": "SAGE III/ISS L2 Solar Event Species Profiles (HDF-EOS) V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2018-06-30",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797970-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797970-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bssp_5",
+        "description": "g3bssp_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF-EOS) Version 5 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3bssp_51",
+        "title": "SAGE III/ISS L2 Solar Event Species Profiles (HDF-EOS) V051",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2021-02-28",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797768-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797768-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bssp_51",
+        "description": "g3bssp_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF-EOS) V051 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3bssp_52",
         "title": "SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V052",
@@ -211522,6 +218204,32 @@
         "description": "g3bssp_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF5) V052 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3bssp_52",
+        "title": "SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V052",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2023-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797577-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797577-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bssp_52",
+        "description": "g3bssp_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF5) V052 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3bssp_53",
+        "title": "SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797438-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116797438-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bssp_53",
+        "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.      g3bssp_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF5) V053 data product. It contains all the species products for a single solar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3bssp_53",
         "title": "SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V053",
@@ -211535,6 +218243,45 @@
         "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.      g3bssp_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF5) V053 data product. It contains all the species products for a single solar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3bsspb_5",
+        "title": "SAGE III/ISS L2 Solar Event Species Profiles (Native) V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2018-06-30",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798257-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798257-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bsspb_5",
+        "description": "g3bsspb_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V051data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3bsspb_51",
+        "title": "SAGE III/ISS L2 Solar Event Species Profiles (Native) V051",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2021-02-28",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798129-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798129-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bsspb_51",
+        "description": "g3bsspb_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V051 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3bsspb_52",
+        "title": "SAGE III/ISS L2 Solar Event Species Profiles (Native) V052",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2023-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3165141987-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3165141987-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwxYiBzb2xhciBldmVudCB0cmFuc21pc3Npb24gZGF0YSAobmF0aXZlKSB2MDUzXCIsXCJMQVJDX0NMT1VEXCIsXCJnM2J0YlwiLFwiNTNcIiwzMTE2Nzk4NzA1LDNdIn0%3D/g3bsspb_52",
+        "description": "g3bsspb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V052 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3bsspb_52",
         "title": "SAGE III/ISS L2 Solar Event Species Profiles (Native) V052",
@@ -211548,6 +218295,19 @@
         "description": "g3bsspb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V052 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3bsspb_53",
+        "title": "SAGE III/ISS L2 Solar Event Species Profiles (Native) V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798062-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798062-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIiwidW1tIjoiW1wic2FnZSBpaWkvaXNzIGwyIHNvbGFyIGV2ZW50IHNwZWNpZXMgcHJvZmlsZXMgKG5hdGl2ZSkgdjA1MlwiLFwiTEFSQ19DTE9VRFwiLFwiZzNic3NwYlwiLFwiNTJcIiwzMTY1MTQxOTg3LDFdIn0%3D/g3bsspb_53",
+        "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bsspb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V053 data product. It contains all the species products for a single solar event.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3bsspb_53",
         "title": "SAGE III/ISS L2 Solar Event Species Profiles (Native) V053",
@@ -211561,6 +218321,45 @@
         "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bsspb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V053 data product. It contains all the species products for a single solar event.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3bt_5",
+        "title": "SAGE III/ISS L1B Solar Event Transmission Data (HDF-EOS) V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2018-06-30",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798629-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798629-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3bt_5",
+        "description": "g3bt_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (HDF-EOS) Version 5 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3bt_51",
+        "title": "SAGE III/ISS L1B Solar Event Transmission Data (HDF-EOS) V051",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2021-02-28",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798532-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798532-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3bt_51",
+        "description": "g3bt_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Lunar Event Species Profiles (HDF) V051 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3bt_52",
+        "title": "SAGE III/ISS L1B Solar Event Transmission Data (HDF5) V052",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2023-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798392-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798392-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3bt_52",
+        "description": "g3bt_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Lunar Event Species Profiles (HDF5) V052 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3bt_52",
         "title": "SAGE III/ISS L1B Solar Event Transmission Data (HDF5) V052",
@@ -211587,6 +218386,45 @@
         "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bt_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (HDF5) V053 data product. It contains pixel group transmission profiles for a single solar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3bt_53",
+        "title": "SAGE III/ISS L1B Solar Event Transmission Data (HDF5) V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798322-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798322-LARC_CLOUD.html",
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+        "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bt_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (HDF5) V053 data product. It contains pixel group transmission profiles for a single solar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3btb_5",
+        "title": "SAGE III/ISS L1B Solar Event Transmission Data (Native) V005",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2018-06-30",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798906-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798906-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btb_5",
+        "description": "g3btb_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) Version 5 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
+    {
+        "id": "g3btb_51",
+        "title": "SAGE III/ISS L1B Solar Event Transmission Data (Native) V051",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2021-02-28",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798843-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798843-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btb_51",
+        "description": "g3btb_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V051data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3btb_52",
         "title": "SAGE III/ISS L1B Solar Event Transmission Data (Native) V052",
@@ -211600,6 +218438,19 @@
         "description": "g3btb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V052data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. Data collection for this product is ongoing.   This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3btb_52",
+        "title": "SAGE III/ISS L1B Solar Event Transmission Data (Native) V052",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "2023-01-31",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798754-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798754-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btb_52",
+        "description": "g3btb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V052data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. Data collection for this product is ongoing.   This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3btb_53",
         "title": "SAGE III/ISS L1B Solar Event Transmission Data (Native) V053",
@@ -211613,6 +218464,19 @@
         "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3btb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V053 data product. It contains pixel group transmission profiles for a single solar event.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3btb_53",
+        "title": "SAGE III/ISS L1B Solar Event Transmission Data (Native) V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-06-07",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798705-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798705-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btb_53",
+        "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3btb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V053 data product. It contains pixel group transmission profiles for a single solar event.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3btmnc_52",
         "title": "SAGE III/ISS L1B Monthly Solar Event Transmission Data (NetCDF) V052",
@@ -211626,6 +218490,19 @@
         "description": "g3btmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1 Monthly Solar Event Species Profiles (NetCDF) V052 data product. It contains pixel group transmission profiles for a month of solar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3btmnc_52",
+        "title": "SAGE III/ISS L1B Monthly Solar Event Transmission Data (NetCDF) V052",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-05-31",
+        "end_date": "2023-01-31",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116799019-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116799019-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btmnc_52",
+        "description": "g3btmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1 Monthly Solar Event Species Profiles (NetCDF) V052 data product. It contains pixel group transmission profiles for a month of solar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "g3btmnc_53",
         "title": "SAGE III/ISS L1B Monthly Solar Event Transmission Data (NetCDF) V053",
@@ -211639,6 +218516,19 @@
         "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3btmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1 Monthly Solar Event Species Profiles (NetCDF) V053 data product. It contains pixel group transmission profiles for a month of solar events.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
         "license": "proprietary"
     },
+    {
+        "id": "g3btmnc_53",
+        "title": "SAGE III/ISS L1B Monthly Solar Event Transmission Data (NetCDF) V053",
+        "catalog": "LARC_CLOUD STAC Catalog",
+        "state_date": "2017-05-31",
+        "end_date": "",
+        "bbox": "180, -90, -180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798961-LARC_CLOUD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3116798961-LARC_CLOUD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIiwidW1tIjoiW1wicG9sYXIgcmFkaWFudCBlbmVyZ3kgaW4gdGhlIGZhciBpbmZyYXJlZCBleHBlcmltZW50IChwcmVmaXJlKSBzYXRlbGxpdGUgMiB0ZWxlbWV0cnkgcjAxXCIsXCJMQVJDX0NMT1VEXCIsXCJQUkVGSVJFX1NBVDJfMC1CVVMtVExNXCIsXCJyMDFcIiwzMjQ2NzEyODk1LDldIn0%3D/g3btmnc_53",
+        "description": "Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3btmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1 Monthly Solar Event Species Profiles (NetCDF) V053 data product. It contains pixel group transmission profiles for a month of solar events.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth\u2019s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.",
+        "license": "proprietary"
+    },
     {
         "id": "gap_filled_marconi_811_1",
         "title": "FLUXNET Marconi Conference Gap-Filled Flux and Meteorology Data, 1992-2000",
@@ -211648,7 +218538,7 @@
         "bbox": "-157.41, -2.61, 24.3, 70.47",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776899492-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776899492-ORNL_CLOUD.html",
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         "description": "Fluxes of carbon dioxide, water vapor, and energy exchange have been measured at 38 forest, grassland, and crop sites as part of the EUROFLUX and AmeriFlux projects. A total of 97 site-years of data were compiled, primarily between 1996 and 1998 but also for 1992-1995 and 1999-2000. Half-hour flux and meteorology measurements are included plus the gap-filled half-hour estimates and aggregations to day and night, weekly, monthly, and annual periods. The FLUXNET 2000 Synthesis Workshop was held at the Marconi Conference Center, Marshall, California, June 11-14, 2000. The Marconi Flux Data Collection was compiled to aid in exploring the interactions between the terrestrial biosphere and the overlying atmosphere through carbon, water, and energy exchanges. The workshop resulted in several studies to synthesize and interpret differences and similarities in long-term measurements of carbon dioxide, water vapor, and energy exchanges between vegetation and the atmosphere for a spectrum of ecosystems. A series of synthesis papers based on these data and studies was published in a special issue of the Agriculture and Forest Meteorology, Volume 113, 2002. The papers are listed in the reference section. This data product is being archived as a record of the data used the AFM special issue. Updates and revisions to the data are available at the FLUXNET web site.The eddy covariance technique is used for long-term continuous measurements of mass and energy fluxes to capture seasonal dynamics and allow for a meaningful scaling with respect to time. The equipment and methodology were standardized among sites by using common software and instrumentation. Comparisons of ecosystem fluxes among sites are usually performed on annual or monthly sums calculated on complete data records; however, the average site data coverage during a year was only 65%. Therefore, development and application of robust and consistent data gap-filling methods was required before fluxes could be calculated. One of the outcomes of the FLUXNET project was computer applications to process the data into complete, consistent, quality assured, and documented data sets (Falge et al. 2001a,b). Gap-filled flux data from four different filling methods are reported. Selected meteorological parameters were also gap filled to support flux estimating methods and are reported along with non-filled meteorological data. Note that the measured/estimated CO2 fluxes and storage fluxes were summed into net ecosystem exchange (NEE), and ONLY NEE data are reported. ",
         "license": "proprietary"
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         "description": "The data sets in this directory were provided by Mr. Gregory Yetman and Drs. Stuart Gaffin and Deborah Balk from the Center for International Earth Science Information Network (CIESIN) at Columbia University. There are three data files at three spatial resolutions of 0.25, 0.5 and 1.0 degree in both latitude and longitude and for the reference year of 1990.Estimates of Gross Domestic Product (GDP) are commonly given for nations as a single aggregated number. This data set generates estimates of GDP density distributed subnationally to facilitate the integration of GDP with other data at a sub-national level and to promote interdisciplinary studies that include socioeconomic aspects.  This is one of two coarse resolution Socioeconomic data sets included in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data collection, the other being the Gridded Population of the World (GPW), also produced by CIESIN. ",
         "license": "proprietary"
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         "description": "Geographic coordinate and other site information from several sources throughout the experiment period. The final set of information is organized into two data sets that provide geographic coordinate and site characteristic information for single sites and corner coordinates for standard geographic areas.",
         "license": "proprietary"
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         "description": "The Geoecology database is a compilation of environmental data for the period 1941 to 1981. The Geoecology database contains selected data on terrain and soils, water resources, forestry, vegetation, agriculture, land use, wildlife, air quality, climate, natural areas, and endangered species. Data on selected human population characteristics are also included to complement the environmental files. Data represent the conterminous United States at the county level. These historical data are provided as a source of 1970s baseline environmental conditions for the United States.",
         "license": "proprietary"
     },
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         "description": "This data set is a subset of Cogley's 1998 global hydrographic data set (GGHYDRO, Release 2.2). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The subset is organized into 19 files containing terrain type, stream frequency counts, major drainage basins, and annual water runoff for the LBA study area. The data are presented at a spatial resolution of 1-degree latitude by 1-degree longitude in ASCII GRID file format.",
         "license": "proprietary"
     },
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         "description": "The Global Inventory Modelling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) data sets were generated to provide a 22-year satellite record of monthly changes in terrestrial vegetation. This data set contains three data files provided at spatial resolutions of 0.25, 0.5 and 1.0 degree in latitude and longitude with data from July 1981 through December 2002. New features include reduced NDVI variations arising from calibration, view geometry, volcanic aerosols, and other effects not related to actual vegetation change. In particular, NOAA-9 descending node data from September 1994 to January 1995, volcanic stratospheric aerosol correction for 1982-1984 and 1991-1994, and improved NDVI using empirical mode decomposition/reconstruction (EMD) to minimize effects of orbital drift. Global NDVI was generated to provide inputs for computing the time series of biophysical parameters contained in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II collection. NDVI is used in climate models and biogeochemical models to calculate photosynthesis, the exchange of CO2 between the atmosphere and the land surface, land-surface evapotranspiration and the absorption and release of energy by the land surface. ",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776893351-ORNL_CLOUD.html",
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         "description": "Nitrogen is a major nutrient in terrestrial ecosystems and an important catalyst in tropospheric photochemistry. Over the last century human activities have dramatically increased inputs of reactive nitrogen (Nr, the combination of oxidized, reduced and organically bound nitrogen) to the Earth system. Nitrogen cycle perturbations have compromised air quality and human health, acidified ecosystems, and degraded and eutrophied  lakes and coastal estuaries [Vitousek et al., 1997a, 1997b; Rabalais, 2002; Howarth et al., 2003; Townsend et al., 2003; Galloway et al., 2004]. To begin to quantify the changes to the global N cycle, we have assembled key flux data and N2O mixing ratios from various sources.  The data assembled from different sources includes fertilizer production from 1920-2004;  manure production from 1860-2004; crop N fixation estimated for three time points, 1860, 1900, 1995; tropospheric N2O mixing ratios from ice core and firn measurements, and tropospheric concentrations to cover the time period from 1756-2004.  The changing N2O concentrations provide an independent index of changes to the global N cycle, in much the same way that changing carbon dioxide concentrations provide an important constraint on the global carbon cycle.  The changes to the global N cycle are driven by industrialization, as indicated by fossil fuel NOx emission, and by the intensification of agriculture, as indicted by fertilizer and manure production and crop N2 fixation. The data set and the science it reflects are by nature interdisciplinary.  Making the data set available through the ORNL DAAC is an attempt to make the data set available to the considerable interdisciplinary community studying the N cycle.",
         "license": "proprietary"
     },
@@ -216341,7 +223231,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776896954-ORNL_CLOUD.html",
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         "description": "This data set provides global gridded estimates of atmospheric deposition of total inorganic nitrogen (N), NHx (NH3 and NH4+), and NOy (all oxidized forms of nitrogen other than N2O), in mg N/m2/year, for the years 1860 and 1993 and projections for the year 2050. The data set was generated using a global three-dimensional chemistry-transport model (TM3) with a spatial resolution of 5 degrees longitude by 3.75 degrees latitude (Jeuken et al., 2001; Lelieveld and Dentener, 2000). Nitrogen emissions estimates (Van Aardenne et al., 2001) and projection scenario data (IPCC, 1996; 2000) were used as input to the model.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784894945-ORNL_CLOUD.html",
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         "description": "Global Population of the World (GPW) translates census population data to a latitude-longitude grid so that population data may be used in cross-disciplinary studies. There are three data files with this data set for the reference years 1990 and 1995. Over 127,000 administrative units and population counts were collected and integrated from various sources to create the gridded data. In brief, GPW was created using the following steps:    * Population data were estimated for the product reference years, 1990 and 1995, either by the data source or by interpolating or extrapolating the given estimates for other years.    * Additional population estimates were created by adjusting the source population data to match UN national population estimates for the reference years.    * Borders and coastlines of the spatial data were matched to the Digital Chart of the World where appropriate and lakes from the Digital Chart of the World were added.    * The resulting data were then transformed into grids of UN-adjusted and unadjusted population counts for the reference years.    * Grids containing the area of administrative boundary data in each cell (net of lakes) were created and used with the count grids to produce population densities.As with any global data set based on multiple data sources, the spatial and attribute precision of GPW is variable. The level of detail and accuracy, both in time and space, vary among the countries for which data were obtained.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785319804-ORNL_CLOUD.html",
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         "description": "The GlobalView Methane (CH4) data product contains synchronized and smoothed time series of atmospheric CH4 concentrations at selected sites that were created using the data extension and integration techniques described by Masarie and Tans (1995). The information needed to derive this time series is also in this data set, along with extensive documentation. The longest period of coverage is from 1984 to 1998 with some sites having shorter or longer temporal coverage. Note that the GlobalView-CH4 data products are derived from measurements but contain no actual data. To facilitate heterogeneous CH4 data use in carbon cycle modeling studies, the measurements have been processed (smoothed, interpolated, and extrapolated) resulting in extended records that are evenly incremented in time. There are 74 files with this data set which includes 71 *.zip data files. The other three files include 2 files with site information, one comma-delimited ASCII file (.csv), and one .dat file, and one .dat file which is a single reference marine boundary layer matrix file containing CH4 mixing ratios as a function of time and sine of latitude and is a by-product of the data extension procedure.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785323218-ORNL_CLOUD.html",
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         "description": "The GlobalView Carbon Dioxide (CO2) data product contains synchronized and smoothed time series of atmospheric CO2 concentrations at selected sites that were created using the data extension and integration techniques described by Masarie and Tans, (1995). The information needed to derive this time series is also in this data set, along with extensive documentation. The longest period of coverage is from 1979 to 2001 with some sites having longer or shorter temporal coverage. Note that the GlobalView CO2 data products are derived from measurements but contain no actual data. To facilitate heterogeneous CO2 data use in carbon cycle modeling studies, the measurements have been processed (smoothed, interpolated, and extrapolated) resulting in extended records that are evenly incremented in time. There are 92 files with this data set which includes 89 *.zip data files. The other three files include 2  files with site information, one comma-delimited ASCII file (.csv), and one .dat file, and one .dat file which is a single reference marine boundary layer matrix file which contains CO2 mixing ratios as a function of time and sine of latitude and is a by-product of the data extension procedure.",
         "license": "proprietary"
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         "description": "The level-1 BOREAS GOES-7 image data were collected by Remote Sensing Science Team 14 (RSS-14) personnel at Florida State University (FSU) and delivered to BORIS. The data cover the period of 01-Jan-1994 through 08-Jul-1995, with partial to complete coverage on the majority of the days. The data include three bands with eight-bit pixel values.",
         "license": "proprietary"
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         "description": "The level-1a BOREAS GOES-7 image data was collected by Remote Sensing Science Team-14 (RSS-14) personnel at Florida State University and processed to level-1a products by BORIS personnel.  The data cover the period 01-JAN-1994 through 08-JUL-1995.",
         "license": "proprietary"
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         "description": "This data set contains images of shortwave and longwave radiation at the surface and top of the atmosphere derived from collected GOES-7 data.  The data cover the time period of 05-Feb-1994 to 20-Sep-1994.  The images missing from the temporal series were zero-filled to create a consistent sequence of files.",
         "license": "proprietary"
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         "description": "The level-1 BOREAS GOES-8 images are raw data values collected by RSS-14 personnel at FSU and delivered to BORIS.  The data cover 14-Jul-1995 to 21-Sep-1995 and 01-Jan-1996 to 03-Oct- 1996. The data start out containing three 8-bit spectral bands and end up containing five 10-bit spectral bands.",
         "license": "proprietary"
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         "description": "The level-1a GOES-8 images cover 14-Jul-1995 to 21-Sep-1995 and 12-Feb-1996 to 03-Oct-1996. The data start out as three bands with 8-bit pixel values and end up as five bands with 10-bit pixel values. The differences between the level-1 and level-1a GOES-8 data are the formatting and packaging of the data. The images missing from the temporal series of level-1 GOES-8 images were zero-filled to create files consistent in size and format.",
         "license": "proprietary"
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         "description": "The Global Precipitation Climatology Centre (GPCC), which is operated by the Deutscher Wetterdienst (National Meteorological Service of Germany), is a component of the Global Precipitation Climatology Project (GPCP) with the main emphasis on the treatment of the global in-situ observations. The GPCC simultaneously contributes to the Global Climate Observing System (GCOS) and other international research and climate monitoring projects. This rain gauge-only data set was acquired from GPCC and resampled to 0.5 degree grid boxes for use in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II. The GPCC collects precipitation data which are locally observed at rain gauge stations and distributed as CLIMAT and SYNOP reports via the Global Telecommunication System of the World Weather Watch (GTS) of the World Meteorological Organization (WMO). The Centre acquires additional monthly precipitation data from meteorological and hydrological networks which are operated by national services. ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785267282-ORNL_CLOUD.html",
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         "description": "The Global Precipitation Climatology Project (GPCP) Version 2 data set includes global, monthly precipitation rates and associated random errors (RMSE), and a monthly precipitation climatology derived as an average from all GPCP data sets from January 1979 to December 1999. The data are derived from measured gauge data and merged with satellite estimates of rainfall. This is a portion of the version 2 GPCP data and covers the ISLSCP II period from 1986 to 1995. There are six data files included with this data set:  the original precipitation rates, errors and climatology at 2.5 degrees spatial resolution, and the same data  re-gridded to a 1 degree spatial resolution by the ISLSCP II staff.and merged with satellite estimates of rainfall. This is a portion of the version 2 GPCP data sets and covers the ISLSCP II period from 1986 to 1995. There are six data files included with this data set:  the original precipitation rates, errors and climatology at 2.5 degrees spatial resolution, and the same data  re-gridded to a 1 degree spatial resolution by the ISLSCP II staff.",
         "license": "proprietary"
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         "description": "The Global Precipitation Climatology Project (GPCP) pentad version 1 precipitation data set includes global precipitation rates for 5-day, or pentad, periods. The data sets are derived from measured rain gauge data and merged with satellite estimates of rainfall. This is a portion of the version 1 GPCP pentad data set and covers the ISLSCP II period from 1986 to 1995. The original precipitation rates at 2.5 degrees were re-gridded to a 1 degree spatial resolution by the ISLSCP II staff. ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785304728-ORNL_CLOUD.html",
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         "description": "Net Primary Production (NPP) is an important component of the carbon cycle and, among the pools and fluxes that make up the cycle, it is one of the steps that are most accessible to field measurement. Direct measurement of NPP is not practical for large areas and so models are generally used to study the carbon cycle at a global scale.  This data set contains 2 *.zip files for above ground and total NPP data. ",
         "license": "proprietary"
     },
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         "description": "The Global Primary Production Data Initiative (GPPDI) was set up as a Focus 1 activity of the IGBP Data and Information System, a coordinated international program to improve worldwide estimates of terrestrial net primary productivity (NPP) for parameterization, calibration, and validation of NPP models at various scales.The GPPDI data collection contains documented field measurements of NPP for global terrestrial sites compiled from published literature and other extant data sources. The point measurements of NPP were categorized as either Class A, representing intensively studied or well-documented study sites (e.g., with site-specific climate, soils information, etc.), Class B, representing more numerous extensive sites with less documentation and site-specific information available, or Class C, representing regional collections of half-degree latitude-longitude grid cells. This data set in the ISLSCP II collection represents the GPPDI Class B NPP data. The Class B NPP data file contains biomass dynamics, climate, and site-characteristics data georeferenced to each site. There is one ASCII data file with this data set. ",
         "license": "proprietary"
     },
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         "description": "The objective of this work was to construct a long-term data set of daily precipitation on half degree and one degree latitude/longitude grids over the global land areas. The analyses are defined by interpolating station observations from GTS (Global Telecommunications System) gauges using the algorithm of Shepard (1968). The algorithm of Shepard (1968) has been widely used to interpolate gauge observations of monthly, pentad, and daily precipitation (Rudolf 1993, Xie et al. 1996). This algorithm is used to interpolate the irregularly distributed station observations onto grid points. The weighting coefficients are inversely proportional to the gauge-grid point distance and are adjusted by a cosine function taking into account the directional isolation of each gauge relative to all other nearby gauges. There are 6 data files with this data set.",
         "license": "proprietary"
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@@ -231733,7 +238623,7 @@
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         "description": "Contains the hydraulic properties of the soil at each tower flux site determined by the HYD-01 science team.",
         "license": "proprietary"
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@@ -231746,7 +238636,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624113-ORNL_CLOUD.html",
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         "description": "Contains the percent soil moisture by volume data that was collected by the HYD-01 group at the various tower sites.",
         "license": "proprietary"
     },
@@ -231759,7 +238649,7 @@
         "bbox": "-106.2, 53.88, -98.29, 55.93",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624035-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624035-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIGZvbGxvdy1vbiBmbHgtMDMgYXJlYS1hdmVyYWdlZCBmbHV4IGRhdGEgZm9yIHRoZSBuc2EgYW5kIHNzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQkZPX2ZseDAzX2FyZWFfYXZnX2ZsdXhfNTg2XCIsXCIxXCIsMjk1NjQ4Mjc2NCwyXSIsInVtbSI6IltcImJvcmVhcyBmb2xsb3ctb24gZmx4LTAzIGFyZWEtYXZlcmFnZWQgZmx1eCBkYXRhIGZvciB0aGUgbnNhIGFuZCBzc2FcIixcIk9STkxfQ0xPVURcIixcIkJGT19mbHgwM19hcmVhX2F2Z19mbHV4XzU4NlwiLFwiMVwiLDI5NTY0ODI3NjQsMl0ifQ%3D%3D/h01uncpd_254_1",
         "description": "Contains the under canopy precipitation data that was collected in 1994, 1995, 1996 and 1997 by the HYD-01 group at the various tower sites.",
         "license": "proprietary"
     },
@@ -231772,7 +238662,7 @@
         "bbox": "-106.3, 53.42, -97.24, 56.25",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624150-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624150-ORNL_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIGZvbGxvdy1vbiBmbHgtMDEgbnNhLW9icyB0b3dlciBmbHV4LCBtZXRlb3JvbG9naWNhbCwgYW5kIHNvaWwgdGVtcC4gZGF0YVwiLFwiT1JOTF9DTE9VRFwiLFwiQkZPX2ZseDAxX2ZsdXhfbWV0X3RlbXBfNjA0XCIsXCIxXCIsMjk1NjUyNDU4OSwyXSIsInVtbSI6IltcImJvcmVhcyBmb2xsb3ctb24gZmx4LTAxIG5zYS1vYnMgdG93ZXIgZmx1eCwgbWV0ZW9yb2xvZ2ljYWwsIGFuZCBzb2lsIHRlbXAuIGRhdGFcIixcIk9STkxfQ0xPVURcIixcIkJGT19mbHgwMV9mbHV4X21ldF90ZW1wXzYwNFwiLFwiMVwiLDI5NTY1MjQ1ODksMl0ifQ%3D%3D/h02swed_256_1",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIGZvbGxvdy1vbiBmbHgtMDMgYXJlYS1hdmVyYWdlZCBmbHV4IGRhdGEgZm9yIHRoZSBuc2EgYW5kIHNzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQkZPX2ZseDAzX2FyZWFfYXZnX2ZsdXhfNTg2XCIsXCIxXCIsMjk1NjQ4Mjc2NCwyXSIsInVtbSI6IltcImJvcmVhcyBmb2xsb3ctb24gZmx4LTAzIGFyZWEtYXZlcmFnZWQgZmx1eCBkYXRhIGZvciB0aGUgbnNhIGFuZCBzc2FcIixcIk9STkxfQ0xPVURcIixcIkJGT19mbHgwM19hcmVhX2F2Z19mbHV4XzU4NlwiLFwiMVwiLDI5NTY0ODI3NjQsMl0ifQ%3D%3D/h02swed_256_1",
         "description": "Contains HYD-02 snow water equivalent derived from microwave measurements from aircraft.",
         "license": "proprietary"
     },
@@ -231785,7 +238675,7 @@
         "bbox": "-106.2, 53.75, -97.82, 55.93",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624300-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624300-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIGZvbGxvdy1vbiBmbHgtMDMgYXJlYS1hdmVyYWdlZCBmbHV4IGRhdGEgZm9yIHRoZSBuc2EgYW5kIHNzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQkZPX2ZseDAzX2FyZWFfYXZnX2ZsdXhfNTg2XCIsXCIxXCIsMjk1NjQ4Mjc2NCwyXSIsInVtbSI6IltcImJvcmVhcyBmb2xsb3ctb24gZmx4LTAzIGFyZWEtYXZlcmFnZWQgZmx1eCBkYXRhIGZvciB0aGUgbnNhIGFuZCBzc2FcIixcIk9STkxfQ0xPVURcIixcIkJGT19mbHgwM19hcmVhX2F2Z19mbHV4XzU4NlwiLFwiMVwiLDI5NTY0ODI3NjQsMl0ifQ%3D%3D/h03candd_258_1",
         "description": "The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of canopy density (closure) from a variety of sites. Canopy density measurements were made during the FFC-W and FFC-T 1994 in both the SSA and NSA using a forest densiometer. This study was undertaken to predict spatial distributions of energy transfer, snow properties important to the hydrology, remote sensing signatures, and transmissivity of gases through the snow and their relation to forests in boreal ecosystems. ",
         "license": "proprietary"
     },
@@ -231798,7 +238688,7 @@
         "bbox": "-106.2, 53.63, -105.12, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625200-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625200-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIGh5ZC0wMyBzbm93IHdhdGVyIGVxdWl2YWxlbnQ6IDE5OTZcIixcIk9STkxfQ0xPVURcIixcImgzc3dlOTZkXzI2M1wiLFwiMVwiLDI4MDc2MjUxMTgsMl0iLCJ1bW0iOiJbXCJib3JlYXMgaHlkLTAzIHNub3cgd2F0ZXIgZXF1aXZhbGVudDogMTk5NlwiLFwiT1JOTF9DTE9VRFwiLFwiaDNzd2U5NmRfMjYzXCIsXCIxXCIsMjgwNzYyNTExOCwyXSJ9/h03dbhd_264_1",
         "description": "The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of tree diameter at breast height (DBH) from a variety of sites. This study was undertaken to predict spatial distributions of energy transfer, snow properties important to the hydrology, remote sensing signatures, and transmissivity of gases through the snow and their relation to forests in boreal ecosystems. ",
         "license": "proprietary"
     },
@@ -231811,7 +238701,7 @@
         "bbox": "-106.2, 53.63, -104.69, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625397-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625397-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIGh5ZC0wMyBzbm93IHdhdGVyIGVxdWl2YWxlbnQ6IDE5OTZcIixcIk9STkxfQ0xPVURcIixcImgzc3dlOTZkXzI2M1wiLFwiMVwiLDI4MDc2MjUxMTgsMl0iLCJ1bW0iOiJbXCJib3JlYXMgaHlkLTAzIHNub3cgd2F0ZXIgZXF1aXZhbGVudDogMTk5NlwiLFwiT1JOTF9DTE9VRFwiLFwiaDNzd2U5NmRfMjYzXCIsXCIxXCIsMjgwNzYyNTExOCwyXSJ9/h03scrdd_266_1",
         "description": "This table contains the sub-canopy radiation data collected by HYD-3.",
         "license": "proprietary"
     },
@@ -231824,7 +238714,7 @@
         "bbox": "-106.2, 53.63, -104.69, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624461-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624461-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIGZvbGxvdy1vbiBmbHgtMDMgYXJlYS1hdmVyYWdlZCBmbHV4IGRhdGEgZm9yIHRoZSBuc2EgYW5kIHNzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQkZPX2ZseDAzX2FyZWFfYXZnX2ZsdXhfNTg2XCIsXCIxXCIsMjk1NjQ4Mjc2NCwyXSIsInVtbSI6IltcImJvcmVhcyBmb2xsb3ctb24gZmx4LTAzIGFyZWEtYXZlcmFnZWQgZmx1eCBkYXRhIGZvciB0aGUgbnNhIGFuZCBzc2FcIixcIk9STkxfQ0xPVURcIixcIkJGT19mbHgwM19hcmVhX2F2Z19mbHV4XzU4NlwiLFwiMVwiLDI5NTY0ODI3NjQsMl0ifQ%3D%3D/h03sd96d_259_1",
         "description": "This table contains snow depth measurements made by HYD-3 in 1996.  ",
         "license": "proprietary"
     },
@@ -231837,7 +238727,7 @@
         "bbox": "-105.27, 53.56, -97.82, 55.93",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624725-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624725-ORNL_CLOUD.html",
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         "description": "This is a snow temperature table for HYD03. The snow temperature is given for various snow heights at various sites.",
         "license": "proprietary"
     },
@@ -231850,7 +238740,7 @@
         "bbox": "-106.2, 53.58, -104.69, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624623-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624623-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIGZvbGxvdy1vbiBmbHgtMDMgYXJlYS1hdmVyYWdlZCBmbHV4IGRhdGEgZm9yIHRoZSBuc2EgYW5kIHNzYVwiLFwiT1JOTF9DTE9VRFwiLFwiQkZPX2ZseDAzX2FyZWFfYXZnX2ZsdXhfNTg2XCIsXCIxXCIsMjk1NjQ4Mjc2NCwyXSIsInVtbSI6IltcImJvcmVhcyBmb2xsb3ctb24gZmx4LTAzIGFyZWEtYXZlcmFnZWQgZmx1eCBkYXRhIGZvciB0aGUgbnNhIGFuZCBzc2FcIixcIk9STkxfQ0xPVURcIixcIkJGT19mbHgwM19hcmVhX2F2Z19mbHV4XzU4NlwiLFwiMVwiLDI5NTY0ODI3NjQsMl0ifQ%3D%3D/h03sp96d_260_1",
         "description": "This table contains snow pit measurements made by HYD-3 in 1996.",
         "license": "proprietary"
     },
@@ -231863,7 +238753,7 @@
         "bbox": "-106.2, 53.63, -105.12, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624209-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624209-ORNL_CLOUD.html",
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         "description": "The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of stem density from a variety of sites. Stem density measurements were made during the FFC-W 1996 in the SSA only using standard techniques. This study was undertaken to predict spatial distributions of energy transfer, snow properties important to the hydrology, remote sensing signatures, and transmissivity of gases through the snow and their relation to forests in boreal ecosystems. ",
         "license": "proprietary"
     },
@@ -231876,7 +238766,7 @@
         "bbox": "-106.2, 53.56, -97.82, 55.93",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625013-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625013-ORNL_CLOUD.html",
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         "description": "Contains the snow water equivalent that was calculated from measurements of snow pack density and snow depth.  ",
         "license": "proprietary"
     },
@@ -231889,7 +238779,7 @@
         "bbox": "-106.32, 53.42, -97.24, 56.25",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625453-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625453-ORNL_CLOUD.html",
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         "description": "Contains the areal snow survey data collected by HYD-04.  The flight line numbers that are included correspond to the flight lines from HYD-06 measurements.",
         "license": "proprietary"
     },
@@ -231902,7 +238792,7 @@
         "bbox": "-106.08, 53.75, -98.42, 55.91",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625534-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625534-ORNL_CLOUD.html",
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         "description": "Contains the standard snow course data collected at various sites in the NSA and SSA by HYD-04.",
         "license": "proprietary"
     },
@@ -231915,7 +238805,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632091-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632091-ORNL_CLOUD.html",
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         "description": "This table contains the measurements of water content of the moss/humus layer that were made at various sites on the ground by HYD-06.",
         "license": "proprietary"
     },
@@ -231928,7 +238818,7 @@
         "bbox": "-106.33, 53.38, -98.23, 57",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632009-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632009-ORNL_CLOUD.html",
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         "description": "Contains the measurements of soil moisture that were made at various sites on the ground by HYD-06.",
         "license": "proprietary"
     },
@@ -231941,7 +238831,7 @@
         "bbox": "-98.48, 55.47, -98.15, 55.88",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632236-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632236-ORNL_CLOUD.html",
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         "description": "Contains the gravimetric moss data collected by HYD-08 at the Black Spruce and Joey Lake sites.  It contains the weights of moss turves under two different conditions.",
         "license": "proprietary"
     },
@@ -231954,7 +238844,7 @@
         "bbox": "-105.12, 53.99, -105.12, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632290-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632290-ORNL_CLOUD.html",
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         "description": "Contains the HYD-08 weights of the dried moss samples. These weights do not include the weight of the tray in which the sample was contained. Contains the HYD-08 moss measurements of water equivalent made at the moss lysimeter sites near the SSA-OBS in 19",
         "license": "proprietary"
     },
@@ -231967,7 +238857,7 @@
         "bbox": "-105.12, 53.99, -105.12, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632345-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632345-ORNL_CLOUD.html",
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         "description": "Contains the HYD-08 mean gross precipitation measurements made at 2 gauges at the SSA-OBS.",
         "license": "proprietary"
     },
@@ -231980,7 +238870,7 @@
         "bbox": "-106.29, 53.51, -104.31, 54.27",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632727-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632727-ORNL_CLOUD.html",
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         "description": "The BOREAS HYD-09 team collected data on precipitation and streamflow over portions of the NSA and SSA.  This data set contains Cartesian maps of rain accumulation for 1-hour and daily periods during the summer of 1994 over the SSA only (not the full view of the radar)",
         "license": "proprietary"
     },
@@ -231993,7 +238883,7 @@
         "bbox": "-104.82, 53.86, -98.38, 55.92",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632835-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632835-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIGh5ZC0wMyBzbm93IHdhdGVyIGVxdWl2YWxlbnQ6IDE5OTZcIixcIk9STkxfQ0xPVURcIixcImgzc3dlOTZkXzI2M1wiLFwiMVwiLDI4MDc2MjUxMTgsMl0iLCJ1bW0iOiJbXCJib3JlYXMgaHlkLTAzIHNub3cgd2F0ZXIgZXF1aXZhbGVudDogMTk5NlwiLFwiT1JOTF9DTE9VRFwiLFwiaDNzd2U5NmRfMjYzXCIsXCIxXCIsMjgwNzYyNTExOCwyXSJ9/h09stmgd_279_1",
         "description": "Contains the stream gauge data that was collected by the HYD09 group.  ",
         "license": "proprietary"
     },
@@ -232006,7 +238896,7 @@
         "bbox": "-106.2, 53.63, -104.69, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625303-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625303-ORNL_CLOUD.html",
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625118-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625118-ORNL_CLOUD.html",
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         "description": "Contains the snow water equivalent, snow_depth, and snow density measurements made by HYD-3 with the Canadian snow sampler in 1996.",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625820-ORNL_CLOUD.html",
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         "description": "Contains the HYD-05 flux, and meteorological measurements from Bear Trap Forest, Saskatchewan in the winter of 1994. Contains the HYD-05 flux, meteorological, and infrared thermometer measurements from Namekus Lake, Saskatchewan in the winters of 1994 and",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812442887-ORNL_CLOUD.html",
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632538-ORNL_CLOUD.html",
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632488-ORNL_CLOUD.html",
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         "description": "DEMs produced from digitized contours at a cell resolution of 100 meters.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807609164-ORNL_CLOUD.html",
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         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807610000-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807610000-ORNL_CLOUD.html",
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         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807611164-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807611164-ORNL_CLOUD.html",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807609831-ORNL_CLOUD.html",
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         "description": "Contains the Tipping Bucket rain gauge data that was collected by the HYD09 group at various locations.",
         "license": "proprietary"
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@@ -232136,7 +239026,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807610223-ORNL_CLOUD.html",
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         "description": "Contains the Tipping Bucket rain gauge data that was collected by the HYD09 group at various locations.",
         "license": "proprietary"
     },
@@ -232149,7 +239039,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807611306-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807611306-ORNL_CLOUD.html",
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         "description": "Contains the Tipping Bucket rain gauge data that was collected by the HYD09 group at various locations.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784888334-ORNL_CLOUD.html",
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         "description": "The Historical Croplands Cover data set was developed to understand the consequences of historical changes in land use and land cover for ecosystem goods and services. In particular, this data set can be used to study how global changes in cultivated area has influenced climate, biogeochemical cycles, biodiversity, etc. This data set can be used directly within spatially-explicit climate and biogeochemical models.This is a gridded data set describing the fraction of each grid cell in the globe that is occupied by cultivated land from 1700 to 1992. Data layers are provided for every 50 years from 1700 to 1850, every 10 years from 1850 to 1980, and every year from 1986 to 1992.There are two sources of global land cover/land use data. The most recent estimates are derived from satellite measurements, and are available in a spatially-explicit fashion for roughly the last 30 years. The other estimate is based on ground-based sources such as census statistics, land surveys, estimates by historical geographers, etc. These land inventory data are only available at the scale of political units, but have the advantage of being historical. Ramankutty and Foley (1998) derived a spatially-explicit data set of croplands in 1992 by synthesizing remotely-sensed land cover data with contemporary land inventory data. Furthermore, Ramankutty and Foley (1999) extended this data set into the past (back to 1700) using historical land inventory data.The data set should only be used for continental-to-global scale analysis and modeling. The data set captures the broad patterns of cropland change over history, but not necessarily the fine details at local to regional scales - please check the data quality before using it at fine spatial scales. The quality of historical data for the Russian Federation is poor. The quality of data prior to 1850 is poor -- only continental-scale historical data were used for that period. ",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784888644-ORNL_CLOUD.html",
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         "description": "The Historical Land Cover and Land Use data set was developed to provide the global change community with historical land use estimates. The data set describes historical land use changes over a 300-year historical period (1700-1990).Testing against historical data is an important step for validating integrated models of global environmental change. Owing to long time lags in the climate and biogeochemical systems, these models should aim to simulate the land use dynamics for long periods, i.e., spanning decades to centuries. Developing such models requires an understanding of past and current trends and is therefore strongly data dependent. For this purpose, a historical database of the global environment has been developed: HYDE. Historical statistical inventories on agricultural land (census data, tax records, land surveys, etc) and different spatial analysis techniques were used to create a geographically-explicit data set of land use change, with a regular time interval. The data set can be used to test integrated models of global change. Continental-scale historical data were used for that period. ",
         "license": "proprietary"
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         "description": "This data set is a subset of a global croplands data set (Ramankutty and Foley 1999a). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The data are in ASCII GRID format at 5-min resolution.Navin Ramankutty and Jonathan Foley, of the Center for Sustainability and the Global Environment (SAGE) at the University of Wisconsin, developed a global, spatially explicit data set of reconstructed historical croplands from 1700 to 1992. The method for historical reconstruction used a simple algorithm that linked contemporary satellite data and historical cropland inventory data. A spatially explicit croplands data set for 1992 was first derived by calibrating a satellite-derived land cover classification data set against cropland inventory data for 1992. This derived data set was then used within a simple land cover change model, along with historical cropland inventory data, to derive spatially explicit maps of historical croplands. The global data set was restricted to a representation of permanent croplands (i.e., excluding shifting cultivation), which follows the Food and Agriculture Organization (FAO) definition of arable lands and permanent crops. Data values represent fraction of grid cell in croplands.Data for the LBA study area are available for the years 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, and 1992. Although the global croplands data set contains data representing croplands since 1700, essentially no croplands were in the LBA study area until 1900. Data from previous years were excluded at the suggestion of the data originator.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/historical_croplands/comp/uwcrop_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
         "license": "proprietary"
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         "description": "This data set contains coarse scale elevation and elevation-based parameters at 1.0 and 0.5-degree spatial resolutions that were developed to support a wide variety of global modeling activities through the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data collection. These coarse scale data have sufficient statistical information (up to fourth moment) to allow a good statistical description of the sub-cell distribution of any particular elevation parameter (i.e. elevation, slope and aspect). The database used in the development effort was the HYDRO1k product (http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/HYDRO1K) with a native spatial resolution of 1 km, the highest resolution database of global coverage of standard elevation-based derivatives (slope, aspect, elevation, compound topographic index, etc.). ",
         "license": "proprietary"
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         "description": "The Integrated Biosphere Simulator (or IBIS) is designed to be a comprehensive model of the terrestrial biosphere. Tthe model represents a wide range of processes, including land surface physics, canopy physiology, plant phenology, vegetation dynamics and competition, and carbon and nutrient cycling. The model generates global simulations of the surface water balance (e.g., runoff), the terrestrial carbon balance (e.g., net primary production, net ecosystem exchange, soil carbon, aboveground and belowground litter, and soil CO2 fluxes), and vegetation structure (e.g., biomass, leaf area index, and vegetation composition). IBIS was developed by Center for Sustainability and the Global Environment (SAGE) researchers as a first step toward gaining an improved understanding of global biospheric processes and studying their potential response to human activity  [Foley et al. 1996].  IBIS was constructed to explicitly link land surface and hydrological processes, terrestrial biogeochemical cycles, and vegetation dynamics within a single, physically consistent framework. Furthermore, IBIS was one of a new generation of global biosphere models, termed Dynamic Global Vegetation Models (or DGVMs), that consider transient changes in vegetation composition and structure in response to environmental change. Previous global ecosystem models have typically focused on the equilibrium state of vegetation and could not allow vegetation patterns to change over time. Version 2.5 of IBIS includes several major improvements and additions [Kucharik et al. 2000]. SAGE continues to test the performance of the model, assembling a wide range of continental- and global-scale data, including measurements of river discharge, net primary production, vegetation structure, root biomass, soil carbon, litter carbon, and soil CO2 flux. Using these field data and model results for the contemporary biosphere (1965-1994), their evaluation shows that simulated patterns of runoff, NPP, biomass, leaf area index, soil carbon, and total soil CO2 flux agreed reasonably well with measurements that have been compiled from numerous ecosystems. These results also compare favorably to other global model results [Kucharik et al. 2000].",
         "license": "proprietary"
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         "description": "This data set provides gridded data for selected soil parameters derived from data and methods developed by the Global Soil Data Task, an international collaborative project with the objective of making accurate and appropriate data relating to soil properties accessible to the global change research community. The task was coordinated by the International Geosphere-Biosphere Programme (IGBP-DIS). The data in this data set were produced by the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) staff from data obtained from the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC, http://daac.ornl.gov/). See the related data sets section below. Two-dimensional gridded maps of selected soil parameters, including soil texture, at a 1.0 by 1.0 degree spatial resolution and for two soil depths are provided. All data layers have been adjusted to match the ISLSCP II land/water mask. There are 36 data files with this data set.",
         "license": "proprietary"
     },
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         "description": "This data set consists of a subset of a 1-degree global land cover product (DeFries and Townshend 1994). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The data are in ASCII GRID format.",
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         "description": "This data set is a subset of Hansen et al. (1999), \"1 km Global Land Cover Data Set Derived from AVHRR,\" which was developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 N to 25 S, longitude 30 to 85 W). The data are in ASCII GRID file format.In recent years, researchers have increasingly turned to remotely sensed data to improve the accuracy of data sets that describe the geographic distribution of land cover at regional and global scales. To develop improved methodologies for global land cover classifications as well as to provide global land cover products for immediate use in global change research, LGRSS researchers have employed the NASA/NOAA Pathfinder AVHRR Land (PAL) data set with a spatial resolution of 1 km. The PAL data set has a record length of 14 years (1981-1994), providing the ability to test the stability of classification algorithms. The PAL data set includes red, infrared, and thermal bands in addition to the Normalized Difference Vegetation Index (NDVI). Inclusion of these additional bands improves discrimination between cover types. The LGRSS researchers' aim was to develop and validate global land cover data sets and to develop advanced methodologies for more realistically describing the vegetative land surface based on satellite data.The 1-km global land cover product was created from 1992-1993 local area coverage (LAC) AVHRR data. The global land cover product is available for download from the University of Maryland's Global Land Cover Facility (GLCF) Web site (http://glcf.umiacs.umd.edu/data/landcover/index.shtml). Forty-one metrics were developed to describe global vegetation phenology, and these data were used to make the 1-km land cover map. The final product contains 13 land cover classes.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/land_cover_data_1km/comp/glcf1km_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
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         "description": "This data set is a subset of an 8-km global land cover product (DeFries et al. 1998). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 N to 25 S, longitude 30 to 85 W). The data are in ASCII GRID file format.To develop improved methodologies for global land cover classifications as well as to provide global land cover products for immediate use in global change research, researchers at the Laboratory for Global Remote Sensing Studies at the University of Maryland employed the NASA/NOAA Pathfinder AVHRR Land (PAL) data set with a spatial resolution of 8 km. The PAL data set has a length of record of 14 years (1981-1994), providing the ability to test the stability of classification algorithms. Furthermore, the data set includes red, infrared, and thermal bands in addition to the Normalized Difference Vegetation Index (NDVI). Inclusion of these additional bands improves discrimination between cover types. The project's aim was to develop and validate global land cover data sets and to develop advanced methodologies for more realistically describing the vegetative land surface based on satellite data.The global land cover product (Defries et al. 1998) was derived by testing several metrics that describe the temporal dynamics of vegetation over an annual cycle. These metrics were applied to 1984 PAL data at 8-km resolution to derive a global land cover classification product using a decision tree classifier. The final product contains 13 land cover classes. The original 8-km global land cover product is available for download from the University of Maryland's Global Land Cover Facility (GLCF) Web site (http://glcf.umiacs.umd.edu/data/landcover/index.shtml). Additional information and references on this data set can be found at the GLCF Web site, as well as at the LGRSS Web site (http://www.geog.umd.edu/LGRSS/intro.html). More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/comp/land_cover_data_8km/glcf8km_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
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         "license": "proprietary"
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         "description": "This data set is a subset of a global database compiled by Matthews and Fung (1987) on the distribution and environmental characteristics of natural wetlands. The global database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America.",
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         "description": "The data set consists of a subset of the ISRIC-WISE global data set of derived soil properties for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 to 30 degrees W, latitude 25 degrees S to 10 degrees N). More information about LBA and links to other LBA project sites can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
         "license": "proprietary"
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         "description": "This data set is a subset of the 1-km global tree cover data set (DeFries et al. 1999) developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The data are in ASCII GRID format.",
         "license": "proprietary"
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         "description": "Carbon and nitrogen concentrations of fresh forest foliage were determined. Results were used to calibrate Visible/NIR reflectance for estimation of canopy carbon and nitrogen.",
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         "description": "Visible/NIR reflectance spectra data for both fresh and dry leaf samples were collected to determine the relationship of foliar chemical concentrations with reflectance.",
         "license": "proprietary"
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         "description": "This data set is a subset of Cramer and Leemans' (2001) global database of mean monthly climatology, which contains monthly averages of mean temperature, temperature range, precipitation, rain days, and sunshine hours for terrestrial areas during 1931-1960. This subset was created for the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 N to 25 S, longitude 30 to 85 W). The data are presented at 0.5-degree latitude/longitude resolution in ASCII GRID file format. Cramer and Leemans (2001, Version 2.1) constituted a major update of an earlier database, Leemans and Cramer (1991). The new version was generated from a larger database by means of the partial thin-plate splining algorithm developed by Michael F. Hutchinson, Canberra (Hutchinson and Bischof 1983). Version 2.1 has been used widely, notably by all groups participating in the International Geosphere-Biosphere Programme's Net Primary Productivity (NPP) model intercomparison (Olsen et al. 2001).More information about the data can be found at ftp://daac.ornl.gov/data/lba/physical_climate/leemans_cramer/comp/cramer_lmns_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
         "license": "proprietary"
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         "description": " The Legal Amazon of Brazil is defined by law to include the states of Acre, Amapa, Amazonas, Para, Rondonia, Roraima, Mato Grosso, Maranhao, and Tocantins [Fundacao Instituto Brasileiro de Geografia e Estatistica (IBGE) 1991]. This is the definition used in generating the Legal Amazon mask. The 8-km Legal Amazon mask was generated by Christopher Potter at the Ecosystem Science and Technology Branch of the Earth Science Division at NASA Ames Research Center (Potter and Brooks-Genovese 1999). The mask was generated from the Digital Chart of the World available from Environmental Systems Research Institute, Inc. (ESRI). The mask is available in ASCII GRID format. The README file accompanying the mask has more information regarding data format. More information can be found at ftp://daac.ornl.gov/data/lba/human_dimensions/legal_amazon_mask/comp/legamazon_readme.pdf.",
         "license": "proprietary"
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         "description": "The Atmospheric Tracer Transport Model Intercomparison Project (TransCom) was created to quantify and diagnose the uncertainty in inversion calculations of the global carbon budget that results from errors in simulated atmospheric transport, the choice of measured atmospheric carbon dioxide data used, and the inversion methodology employed. Under the third phase of TransCom (TransCom 3), surface-atmosphere CO2 fluxes were estimated from an intercomparison of 16 different atmospheric tracer transport models and model variants in order to assess the contribution of uncertainties in transport to the uncertainties in flux estimates for annual mean, seasonal cycle, and interannual inversions (referred to as Level 1, 2, and 3 experiments, respectively).This data set provides the model output and inversion results for the TransCom 3, Level I annual mean inversion experiments. Annual mean CO2 concentration data (GLOBALVIEW-CO2, 2000) were used to estimate CO2 sources. The annual average fluxes were estimated for the 1992-1996 period using each of the 16 transport models and a common inversion set-up (Gurney et al., 2002). Methodological choices for this control inversion were selected on the basis of knowledge gained from a wide range of sensitivity tests (Law et al., 2003). Gurney et al. (2003) present results from the control inversion for individual models as well as results from a number of sensitivity tests related to the specification of prior flux information. Additional information about the experimental protocol and results is provided in the companion files and the TransCom project web site (http://www.purdue.edu/transcom/index.php).The results of the Level 1 experiments presented here are grouped into two broad categories: forward simulation fields and response functions (model output) and estimated fluxes (inversion results).",
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         "description": "This data set provides model outputs and seasonal mean CO2 fluxes from the Atmospheric Carbon Cycle Inversion Intercomparison (TransCom 3), Level 2 inversion experiment. Inversion methods can be used to estimate surface CO2 fluxes from atmospheric CO2 concentration measurements, given an atmospheric transport model to relate the two. This Level 2 experiment inverted for the spatial and temporal pattern of the residual CO2 sources and sinks. There were 12 atmospheric tracer transport models utilized in this experiment. The data inverted were mean CO2 concentration data from 75 sites from the GLOBALVIEW-CO2 2000 data set for the period 1992-1996. The seasonal inversion consists of a 3 year forward simulation (365 days per year) containing 4 presubtracted tracers, 11 SF6 tracers, and 22 CO2 tracers (11 terrestrial, 11 oceanic) (Gurney et al., 2000). Carbon fluxes were estimated for each month of an average year determined as the mean of the 1990-1996 time period from an intercomparison of 12 different atmospheric tracer transport models. This data set provides input data, model output data,the cyclo inversion code, a basis function map, and estimated fluxes.",
         "license": "proprietary"
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         "description": "The results of published and unpublished experiments investigating the impacts of elevated carbon dioxide on the chemistry (nitrogen and lignin concentration) of leaf litter and the decomposition of plant tissues are assembled in a format appropriate for statistical meta-analysis of the effect of carbon dioxide.",
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         "description": "A set of MSS images from Landsat satellites 1, 2, 4 and 5 covering the dates of 21-Aug-1972 to 05-Sep-1988.  ",
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@@ -235789,7 +242679,7 @@
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         "description": "The objective of this classification is to provide the BOREAS investigators with a data product that characterizes the land cover of the NSA. A Landsat-5 TM image from 20-Aug-1988 was used to derive this classification.  A standard supervised maximum likelihood classification approach was used to produce this classification.",
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         "description": "MAS images, along with other remotely sensed data, were collected to provide spatially extensive information over the primary study areas. This information includes biophysical parameter maps such as surface reflectance and temperature. Collection of the MAS images occurred over the study areas during the 1994 field campaigns.",
         "license": "proprietary"
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         "description": "MAS images, along with the other remotely sensed data, were collected to provide spatially extensive information over the primary study areas. This information includes detailed land cover and biophysical parameter maps such as fPAR (fraction of Photosynthetically Active Radiation) and LAI (Leaf Area Index).",
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         "description": "This data set contains modeled annual net primary production (NPP) for the land biosphere from seventeen different global models. Annual NPP is defined as the net difference of annual carbon uptake (grams CO2/m2/yr) from the atmosphere through photosynthesis by the land vegetation and that lost back to the atmosphere through autotrophic and maintenance respiration. NPP is also related to the Net Ecosystem Exchange (NEE) of carbon accumulated by or lost from the surface by its vegetation and soils. NPP is NEE plus heterotrophic (decomposition) respiration of the vegetation and soils. Only NPP values are included in this data set as some models did not estimate NEE. Data for the mean, standard deviation and coefficient of variation of NPP for the 17 models are provided at spatial resolutions of 1.0 degree and 0.5 degrees. There are two compressed (*.zip) data files with this data set.",
         "license": "proprietary"
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         "description": "This International Satellite Land Surface Climatology Project (ISLSCP II)  MODerate resolution Image Spectroradiometer (MODIS) dataset, ISLSCP II MODIS (Collection 4) Albedo 2002, provides albedo data for the period January 2002 through December 2002.The MODIS bidirectional reflectance distribution function (BRDF) albedo product (MOD43B) provides measures of clear sky surface albedo every 16 days. Both white-sky albedo (bihemispherical reflectance) and black-sky albedo (directional hemispherical reflectance) at local solar noon are provided for 7 spectral bands and 3 broadbands. Since black-sky albedo represents the direct beam contribution while white-sky represents the completely diffuse contribution, these measures can be linearly combined as a function of the fraction of diffuse skylight (itself a function of optical depth) to provide an actual or instantaneous albedo at local solar noon.",
         "license": "proprietary"
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         "description": "This data set, ISLSCP II MODIS (Collection 4) IGBP Land Cover, 2000-2001, contains  global land cover classifications (dominant type, classification confidence and fractional cover) generated using a full year of MODerate Resolution Imaging Spectroradiometer (MODIS) data covering the period from October 2000 to October 2001. The objective of the MODIS Land Cover Product is to provide a suite of land cover types useful to global system science modelers by exploiting the information content of MODIS data in the spectral, temporal, spatial, and directional domains. These products describe the geographic distribution of the 17 land cover classification scheme proposed by the International Geosphere-Biosphere Programme (IGBP).",
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         "description": "Data include aircraft altitude, wind direction, wind speed, air temperature, potential temperature, water mixing ratio, U and V components of wind velocity, static pressure, surface radiative temperature, downwelling and upwelling total radiation, downwelling and upwelling longwave radiation, net radiation, downwelling and upwelling PAR, greenness index, CO2 concentration, O3 concentration, and CH4 concentration.",
         "license": "proprietary"
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         "description": "AEAC projection of the original DEMs produced by the BOREAS HYD-08 team.",
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@@ -238441,7 +245331,7 @@
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         "description": "This data set for the ISLSCP Initiative II data collection provides near surface meteorological variables, fluxes of heat, moisture and momentum at the surface, and land surface state variables, all with a spatial resolution of 1 degree in both latitude and longitude. There are four temporal categories of data: time invariant and monthly mean annual cycle fields (together referred to as \"fixed\" fields), monthly mean fields, monthly 3-hourly diurnal, and 3-hourly fields. Two types of variables exist in this data; instantaneous fields (primarily state variables), and average fields (primarily flux fields expressed as a rate). The Center for Ocean-Land Atmosphere Studies (COLA) near-surface data set for ISLSCP II was derived from the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmospheric Model Inter-comparison Project (AMIP-II) reanalysis (http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/), covering the years from 1979-2003. The data set for ISLSCP II covers the period from 1986 to 1995. The purpose of the reanalysis was to provide an improved version of the original NCEP/National Center for Atmospheric Research (NCAR) reanalysis for General Circulation Model (GCM) validation. To co-register the NCEP/DOE reanalysis on the ISLSCP 1-degree grid, the reanalysis data set was regridded from its native T62 Gaussian grid) resolution (192 x 94 grid boxes globally) to 1-degree ISLSCP II required resolution.There are 136 compressed (.tar.gz) data files with this data set. When extrapolated, the individual data files are in ASCII (.asc) format.",
         "license": "proprietary"
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         "description": "The objective of this work was to produce a monthly climatology of broadband surface albedos for use in global numerical weather prediction models at the National Centers for Environmental Prediction (NCEP). Monthly means of clear-sky, surface, broadband, snow-free albedos for overhead sun illumination angle were determined using data from a five-year period from April 1985-December 1987 and January 1989-March 1991. The data set is compatible in temporal coverage and spatial resolution with a monthly climatology of green vegetation fraction (Gutman and Ignatov, 1998) delivered earlier and currently in use at NCEP. Three zip files are provided at three spatial resolutions of quarter, half and on degree, each containing 12 data files in standard ESRI ArcGIS ArcInfo Grid format, and 12 data files in ASCII format denoting defifferences between the original data set and the ISLSCP II Land Sea Mask. ",
         "license": "proprietary"
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         "description": "This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI.  Collection of the NS001 images occurred over the study areas during the 1994 field campaigns.  The Level-2 NS001 data are atmospherically corrected versions of some of the best original NS001 imagery and cover the dates of 19-Apr-1994, 07-Jun-1994, 21-Jul-1994, 08-Aug-1994, and 16-Sep-1994.",
         "license": "proprietary"
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         "description": "The NS001 TMS imagery, along with the other remotely sensed images, was collected in order to provide spatially extensive information over the primary study areas.  This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI.  Data collections occurred over the study areas during the 1994 field campaigns.",
         "license": "proprietary"
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         "description": "Processed by BORIS staff from the original vector data of species, crown closure, cutting class, and site classification/subtype into raster files.",
         "license": "proprietary"
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         "description": "This data set is a subset of Olson et al. (1985, 2000) \"Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation.\" This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 N to 25 S, longitude 30 to 85 W). The data are in ASCII GRID format.\"Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation\" is a computerized database used to generate a global vegetation map of 44 different land ecosystem complexes (mosaics of vegetation or landscapes) comprising seven broad groups. The map is derived from patterns of preagricultural vegetation, modern areal surveys, and intensive biomass data from research sites. Work on the database was begun in 1960 and completed in 1980.Ecosystem complexes are defined for each 0.5-degree grid cell, reflecting the major climatic, topographic, and land-use patterns. Numeric codes are assigned to each vegetation type. Classifications include natural as well as human managed/modified complexes such as mainly cropped, residential, commercial, and park. The complexes are ranked by estimated organic carbon in the mass of live plants given in units of kilograms of carbon per square meter. Counting the cells of each type and adding their areas give total area estimates for the ecosystem complexes. Multiplying by carbon estimates gives corresponding estimates of carbon by ecosystem complex with in the LBA study area. The results help define the role of the terrestrial biosphere in the global carbon cycle.Information about the ecosystem classifications, as well as the procedure used to create the LBA subset can be found at ftp://daac.ornl.gov/data/lba/carbon_dynamics/olson/comp/olson_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.Carbon in Live Vegetation is a computerized database, used to generate a global vegetation map of 44 different land ecosystem complexes (mosaics of vegetation or landscapes) comprising seven broad groups.",
         "license": "proprietary"
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         "description": "Leaf Area Index (LAI) data from the scientific literature, covering the period from 1932-2000, have been compiled at the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) to support model development and validation for products from the MODerate Resolution Imaging Spectroradiometer (MODIS) instrument. There is one data file which consists of a spreadsheet table, together with a bibliography of more than 300 original-source references. Although the majority of measurements are from natural or semi-natural ecosystems, some LAI values have been included from crops (limited to a sub-set representing different crops at different stages of development under a range of treatments). Like Net Primary Productivity (NPP), Leaf Area Index (LAI) is a key parameter for global and regional models of biosphere/atmosphere exchange. Modeling and validation of coarse scale satellite measurements both require field measurements to constrain LAI values for different biomes (typical minimum, maximum values, phenology, etc.). Maximum values for point measurements are unlikely to be approached or exceeded by area-weighted LAI, which is what satellites and true spatial models are estimating.",
         "license": "proprietary"
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         "description": "Detailed canopy, understory, and ground cover, height, density, and condition information for PANP in the western part of the BOREAS SSA in vector form.",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776829507-ORNL_CLOUD.html",
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         "description": "Study plot canopy chemistry values were calculated from leaf chemistry and litterfall weight values. Average leaf concentrations of nitrogen and carbon were used to investigate how reflectance varies with chemistry.  ",
         "license": "proprietary"
     },
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         "bbox": "-121.76, 29.7, -68.74, 45.22",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776854217-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776854217-ORNL_CLOUD.html",
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         "description": "AVIRIS image scenes were acquired in 1992 over ACCP sites. Pixels that coincided with field study plots were extracted and reflectance values were correlated  with estimated canopy carbon and nitrogen content.",
         "license": "proprietary"
     },
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         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784887174-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784887174-ORNL_CLOUD.html",
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         "description": "This data set was developed to describe the state of the global land cover in terms of 15 major vegetation types, plus water, before alteration by humans. It forms a complement to the historical croplands data set developed by Ramankutty and Foley (1999). By overlaying the two, one can determine the extent to which natural vegetation has been cleared for cultivation. This data set can be used directly within spatially-explicit climate and biogeochemical models. There are four total files in this data set. Two files contain the land cover types representing potential natural vegetation before human alteration, and two other files contain those points in the original data set submitted by the Principal Investigator that have been modified in order to match the land/water mask of the ISLSCP Initiative II.The geographic distribution of contemporary land cover types can be derived from remotely-sensed data. However, humans now dominate much of the world and there is little evidence of the pre-human-settlement natural vegetation or Potential Natural Vegetation (PNV). PNV, as defined here, does not necessarily represent the world's natural pre-human-disturbance vegetation. Rather, our definition of PNV represents the world's vegetation cover that would most likely exist now in equilibrium with present-day climate and natural disturbance, in the absence of human activities.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777327573-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777327573-ORNL_CLOUD.html",
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         "description": "The data set consists of a subset for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N) of the 5-min resolution Global Potential Vegetation data set developed by Navin Ramankutty and Jon Foley at the University of Wisconsin. Data are available in both ASCII GRID and binary image file formats.The original map was derived at a 5-min resolution and contains natural vegetation classified into 15 types.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813387526-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813387526-ORNL_CLOUD.html",
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         "description": "Contains Decagon Ceptometer estimates of LAI and fPAR. Contains LI-COR LAI-2000 estimates of leaf area index and mean tip angle.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807643505-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807643505-ORNL_CLOUD.html",
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         "description": "Contains daily green fpar, LAI, needle-to-shoot area ratio, clumping index, PAI, and foliage-to-total area index for tower and auxiliary sites for IFC's 1, 2, and 3. Also contains effective LAI measurements acquired along RSS-07 transects in the BOREAS study area.",
         "license": "proprietary"
     },
@@ -239806,7 +246696,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807644583-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807644583-ORNL_CLOUD.html",
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         "description": "This table contains measurements from the automatic sun photometers operated by RSS-11 (Markham).",
         "license": "proprietary"
     },
@@ -239819,7 +246709,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807644739-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807644739-ORNL_CLOUD.html",
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         "description": "This table contains measurements from the ground sun photometers operated by RSS12 (Wrigley).",
         "license": "proprietary"
     },
@@ -239832,7 +246722,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929159252-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929159252-ORNL_CLOUD.html",
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         "description": "CASI images from the Chieftain Navaho aircraft taken in order to observe the seasonal change in the radiometric reflectance properties of the boreal forest landscape. CASI data include the following: 1) canopy bidirectional reflectance,2) canopy biochemistry, 3) spatial variability, and 4) estimates of up and downwelling PAR and spectral albedo.",
         "license": "proprietary"
     },
@@ -239845,7 +246735,7 @@
         "bbox": "-106.32, 53.42, -97.24, 56.25",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929159820-ORNL_CLOUD.html",
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         "description": "CASI images from the Chieftain Navaho aircraft collected in order to observe the seasonal change in the radiometric reflectance properties of the boreal forest landscape. The overall objective of the CASI deployment was to observe the seasonal change in the radiometric reflectance properties of the boreal forest landscape. CASI data include the following: 1) canopy bidirectional reflectance, 2) canopy biochemistry, 3) spatial variability, and 4) estimates of up and downwelling PAR spectral albedo.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929107528-ORNL_CLOUD.html",
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         "description": "The BOREAS RSS-07 team collected various data sets to develop and validate an algorithm to allow the retrieval of the spatial distribution of LAI from remotely sensed images.  Ground measurements of LAI and FPAR absorbed by the plant canopy were made using the LAI-2000 and TRAC optical instruments during focused periods from 09-AUG-1993 to 19-SEP-1994.",
         "license": "proprietary"
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         "description": "Contains 15 minute surface meteorology data collected during the 1994 field campaigns by the Atmospheric Environment Service Remote Environmental Automatic Data Acquisition Concept (READAC) autostations.",
         "license": "proprietary"
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         "description": "Based on the GTOPO30 DEM produced by the USGS EDC.  The BOREAS region was extracted from the GTOPO30 data and reprojected by BOREAS staff into the AEAC projection.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807638473-ORNL_CLOUD.html",
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         "description": "This data set was gridded by BORIS staff from a vector data set received from Canadian Soil Information System (CanSIS).  Data were gridded into the Albers Equal-Area Conic (AEAC) projection.",
         "license": "proprietary"
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         "description": "The Global Monthly River Discharge Data Set (RivDIS) contains monthly averaged discharge measurements for 1,018 stations located throughout the world from 1807-1991. The period of record varies widely from station to station with a mean of 21.5 years. The data are derived from the published UNESCO archives for river discharge, and checked against information obtained from the Global Runoff Center in Koblenz, Germany through the U.S. National Geophysical Data Center in Boulder, Colorado.",
         "license": "proprietary"
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         "description": "The River Carbon Flux data set represents estimates for the riverine export of carbon and of sediments. This data set includes the amounts of carbon and of sediments that are discharged to the oceans by rivers for each coastal grid point which receives river inputs. This data set contains three compressed (*.zip) files: the original data at 2.5 x 2.0 degrees, and global maps at spatial resolutions of 0.5 and 1.0 degree which the ISLSCP II staff has created from the original data. ",
         "license": "proprietary"
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         "description": "The Simulated Topological Network (STN-30p) data set provides the large-scale hydrological modeling community an accurate representation of the global river system at 0.5 degree and 1.0 degree spatial resolutions. STN-30p represents the potential connectivity of the continental land mass by assigning one of eight (E, SE, S, SW, W, NW, N, NE) possible flow directions to each continental grid cell (Jenson 1988, Band 1993). The potentiality of STN-30p reflects the fact that flow direction is assigned to every land cell regardless of the existence of actively flowing rivers. STN-30p can be viewed as a river network which would exist if sufficient surface runoff was available to form river channels everywhere. There are two data files with this data set.",
         "license": "proprietary"
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@@ -240703,7 +247593,7 @@
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         "description": "A global data set of root biomass, rooting profiles, and concentrations nutrients in roots was compiled from the primary literature and used to study distributions of root properties. This data set consists of estimates of fine root biomass and specific area, site characteristics. This data set provides analysis of rooting patterns for terrestrial biomes and compare distributions for various plant functional groups.",
         "license": "proprietary"
     },
@@ -240729,7 +247619,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761763711-ORNL_CLOUD.html",
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         "description": "Nutrient measurements for fine roots were compiled from 56 published studies providing information on 372 different combinations of species, root diameter, rooting depths, and soils at a variety of locations. The compilation was used to examine dynamics of 14 nutrients, including translocation properties of roots of varying size and status.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2761763803-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761763803-ORNL_CLOUD.html",
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         "description": "Rooting depths were estimated from a global database of root profiles assembled from the primary literature to study relationships of abiotic and biotic factors associated with belowground vegetation structure. For each root profile, information recorded includes latitude and longitude, elevation, soil texture, depth of organic horizons, type of roots measured (e.g., fine or total, live or dead), sampling methods, units of measurements (root mass, length, number, surface area), and sampling depth.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2761764652-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761764652-ORNL_CLOUD.html",
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         "description": "Estimates of root turnover rates were calculated from measurements of live root standing crop and belowground net primary production (BNPP) compiled from the primary literature.  Vegetation characteristics, soil properties, and climate conditions were associated with turnover rates to examine patterns and controls for biomes worldwide.",
         "license": "proprietary"
     },
@@ -240768,7 +247658,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2785281172-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785281172-ORNL_CLOUD.html",
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         "description": "This data set provides two estimates of the geographic distribution of the total plant-available soil water storage capacity of the rooting zone (\"rooting zone water storage size\") on a 1.0 degree global grid. Two inverse modeling methods were used. The first modeling approach (optimization) was based on the assumption that vegetation has adapted to the environment such that it makes optimum use of water (Kleidon and Heimann 1998). The second method (assimilation) was based on the assumption that green vegetation indicates sufficient available water for transpiration (Knorr 1997). The data set was developed to provide alternative means to describe rooting characteristics of the global vegetation cover for land surface and climate models in support of the ISLSCP Initiative II data collection. There are three files in this data set. ",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929140955-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929140955-ORNL_CLOUD.html",
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         "description": "The RSS-15 team conducted an investigation using SIR-C , X-SAR and Landsat TM data for estimating total above-ground dry biomass for the SSA and NSA modeling grids and component biomass for the SSA. Relationships of backscatter to total biomass and total biomass to foliage, branch, and bole biomass were used to estimate biomass density across the landscape.",
         "license": "proprietary"
     },
@@ -240807,7 +247697,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929173275-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929173275-ORNL_CLOUD.html",
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         "description": "Satellite and aircraft SAR data used in conjunction with ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high-resolution images that represent the radar backscatter of the imaged surface at different frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV).",
         "license": "proprietary"
     },
@@ -240820,7 +247710,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645232-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645232-ORNL_CLOUD.html",
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         "description": "Contains dielectric profile  measurements taken by RSS-17 at NSA and SSA treed tower sites.",
         "license": "proprietary"
     },
@@ -240833,7 +247723,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645680-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645680-ORNL_CLOUD.html",
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         "description": "Contains the POLDER data collected from the C130 platform during IFCs 1 and 2 in 1994.",
         "license": "proprietary"
     },
@@ -240846,7 +247736,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645731-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645731-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0xNCBnb2VzLTggbGV2ZWwtMSB2aXNpYmxlLCBpbmZyYXJlZCBhbmQgd2F0ZXIgdmFwb3IgaW1hZ2VzXCIsXCJPUk5MX0NMT1VEXCIsXCJnb2VzODFfNDQ1XCIsXCIxXCIsMjkyOTExMjg5NSwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMTQgZ29lcy04IGxldmVsLTEgdmlzaWJsZSwgaW5mcmFyZWQgYW5kIHdhdGVyIHZhcG9yIGltYWdlc1wiLFwiT1JOTF9DTE9VRFwiLFwiZ29lczgxXzQ0NVwiLFwiMVwiLDI5MjkxMTI4OTUsMl0ifQ%3D%3D/rs20helo_306_1",
         "description": "Contains POLDER data collected from the helicopter platform during IFCs 1 and 3 in 1994.",
         "license": "proprietary"
     },
@@ -240859,7 +247749,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929167635-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929167635-ORNL_CLOUD.html",
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         "description": "A subset of images collected by the POLDER instrument mounted on the NASA/Ames C-130 aircraft over tower sites in the BOREAS study areas during the IFCs in 1994.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807641921-ORNL_CLOUD.html",
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         "description": "Contains Helicopter-based measurements of atmospheric conditions acquired during the BOReal Ecosystem-Atmosphere Study (BOREAS) processed to estimates of aerosol optical thickness and atmospheric water vapor.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813387460-ORNL_CLOUD.html",
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         "description": "Contains helicopter SE-590 measurements taken by RSS-03.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645356-ORNL_CLOUD.html",
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         "description": "Contains the soil and stem temperature measurements collected by RSS17 at various flux sites:  (1) Southern Study Area (SSA) at the Old Black Spruce (OBS), Old Jack Pine (OJP), Old Aspen (OA), and Young Jack Pine (YJP); and (2) Northern Study Area (NSA) O",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929105510-ORNL_CLOUD.html",
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         "description": "The BOREAS RSS-07 team used Landsat TM images processed at CCRS to produce images of LAI for the BOREAS study areas.  Two images acquired on June 6 and August 9, 1991 were used for the SSA, and one image acquired on June 9, 1994 was used for the NSA.  The LAI images are based on ground measurements and Landsat TM RSR images.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929112031-ORNL_CLOUD.html",
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         "description": "The BOREAS RSS-10 team investigated the magnitude of daily, seasonal, and yearly variations of PAR from ground and satellite observations.  This data set contains satellite estimates of surface-incident photosynthetically active radiation (PAR, 400-700 nm, MJ m-2) at 1 degree spatial resolution. The spatial coverage is circumpolar from latitudes of 41 to 66 degrees N latitude.",
         "license": "proprietary"
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         "description": "The BOREAS RSS-14 team collected and processed GOES-7 and -8 images of the BOREAS region as part of their effort to characterize the incoming, reflected and emitted radiation at regional scales. This data set contains surface radiation parameters, such as net radiation and net solar radiation, that have been interpolated from GOES-7 images and AMS data onto the standard BOREAS mapping grid at a resolution of 5 km N-S and E-W.",
         "license": "proprietary"
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@@ -240950,7 +247840,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929141520-ORNL_CLOUD.html",
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         "description": "The BOREAS RSS-17 team acquired and analyzed imaging radar data from the ESA's ERS-1 over a complete annual cycle at the BOREAS sites in Canada in 1994 to detect shifts in radar backscatter related to varying environmental conditions. Two independent transitions corresponding to soil thaw and possible canopy thaw were revealed by the data.  The results demonstrated that radar provides an ability to observe thaw transitions at the beginning of the growing season, which in turn helps constrain the length of the growing season.",
         "license": "proprietary"
     },
@@ -240963,7 +247853,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645437-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645437-ORNL_CLOUD.html",
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         "description": "Contains xylem flux density  measurements taken by RSS-17 at SSA-OBS.",
         "license": "proprietary"
     },
@@ -240976,7 +247866,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092274-ORNL_CLOUD.html",
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         "description": "Ground-based sunphotometer data collected in support of AVIRIS remote sensing activities at the SSA. The following information was compiled by staff members of the BOReal Ecosystem-Atmosphere Study (BOREAS)Information System (BORIS) as part of their data documentation efforts.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807638499-ORNL_CLOUD.html",
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         "description": "Contains the RSS-01 PARABOLA data sets averaged by 15 degree common view zenith and azimuth angles collected during the BOREAS field campaigns in 1994.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807642385-ORNL_CLOUD.html",
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         "description": "Contains site averaged reflected radiance and reflectance values from barnes MMR taken from helicopter.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807643026-ORNL_CLOUD.html",
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         "description": "Contains sample values and mean values of needle biochemistry data taken at jack pine sites in the SSA.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092399-ORNL_CLOUD.html",
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         "description": "Ground BRDF measurements were acquired by the Remote Sensing Science (RSS)-08 team to aid in the development of advanced spectral vegetation indices.  The RSS-08 team measured reflectances at the double-scaffold towers in the Southern Study Area (SSA) Old Black Spruce (OBS) and Old Aspend (OA) sites during IFC-3 in 1994.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929147975-ORNL_CLOUD.html",
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         "description": "The RSS08 team acquired stereo photography from the double-scaffold towers at the Southern Study Area (SSA), Old Black Spruce (OBS), Old Aspen (OA), and Old Jack Pine (OJP) sites during IFC-3 in 1994.  The imagery of the canopy was taken from various perspectives.  The RSS08 team also measured BRDF at the SSA-OA and -OBS sites during IFC-3.",
         "license": "proprietary"
     },
@@ -241080,7 +247970,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927748781-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927748781-ORNL_CLOUD.html",
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         "description": "The BOREAS RSS-08 team utilized Landsat TM images to perform mapping of snow extent over the SSA.  This data set consists of two Landsat TM images which were used to determine the snow-covered pixels over the BOREAS SSA on 18-Jan-1993 and on 06-Feb-1994. ",
         "license": "proprietary"
     },
@@ -241652,7 +248542,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777328159-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777328159-ORNL_CLOUD.html",
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         "description": "This data set is a subset of a global river discharge data set by Coe and Olejniczak (1999). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W).The global river discharge data set (Coe and Olejniczak 1999), formerly known as the \"Climate, People, and Environment Program (CPEP) Global River Discharge Database,\" is a compilation of monthly mean discharge data for more than 2600 sites worldwide. The data were compiled from RivDIS Version 1.1 (Vorosmarty et al. 1998), the U.S. Geological Survey, and the Brazilian National Department of Water and Electrical Energy. The period of record for the sites varies from 3 years to greater than 100.The purpose of the global compilation is to provide detailed hydrographic information for the climate research community in as general a format as possible. Data are given in units of meters cubed per second (m**3/sec) and are in ASCII format. Data from stations that had less than 3 years of information or that had a basin area less than 5000 square kilometers were excluded from the global data set. Thus, the data sources may include more sites than the data set by Coe and Olejniczak (1999). Users should refer to the data originators for further documentation on the source data.More information, a map of discharge sites, and a clickable site data table can be found at ftp://daac.ornl.gov/data/lba/surf_hydro_and_water_chem/sage/comp/sagedischarge_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. Further information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
         "license": "proprietary"
     },
@@ -241769,7 +248659,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813521188-ORNL_CLOUD.html",
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         "description": "Contains the data collected in 1994 by the AMS suite A instrument set operated by SRC and provided to BORIS.",
         "license": "proprietary"
     },
@@ -241782,7 +248672,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929131838-ORNL_CLOUD.html",
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         "description": "Contains the data collected in 1995 by the AMS suite A instrument set operated by SRC and provided to BORIS.",
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         "description": "Contains the data collected in 1994 by the AMS suite B instrument set operated by SRC and provided to BORIS.",
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         "description": "Contains the data collected in 1996 by the AMS suite B instrument set operated by SRC and provided to BORIS.",
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         "description": "A condensed forest cover type digital map of Saskatchewan and is a product of the Saskatchewan Environment and Resource Management, Forestry Branch-Inventory Unit (SERM-FBIU).  Map was generalized from SERM township maps of vegetation cover at an approximate scale of 1:63,000 (1 in. = 1 mile).  The cover information was iteratively generalized until it was compiled on a 1:1,000,000 scale map base.",
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         "description": "Contains 1994 and 1995 hourly data from various forestry meteorology stations.",
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         "description": "Series of ARC/INFO export files of the fire history of Saskatchewan by year from 1945 to 1996, with a few missing years.",
         "license": "proprietary"
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         "description": "This International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data set, ISLSCP II Global Sea Ice Concentration, is based on the Goddard Space Flight Center (GSFC) Sea Ice Concentrations from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellites Program (DMSP) Special Sensor Microwave/Imager (SSM/I) Passive Microwave Data. This data set contains four zip files which includes sea ice concentration (in percentage of ocean area covered by sea ice), table data and map data.  These original data were re-gridded by the National Snow and Ice Data Center (NSIDC) from their original 25-km spatial resolution and EASE-Grid into equal angle Earth grids with quarter, half and one degree spatial resolutions in latitude/longitude. The ISLSCP II staff have taken the one degree resolution original data provided by the Principal Investigator and created global maps of monthly sea ice concentration on a global one degree grid using the latitude and longitude coordinates that were provided. Individual monthly files were created and written to the ASCII format. The re-gridded one degree original data were also adjusted to match the one degree ISLSCP II land/water mask. ",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784895830-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGdsb2JhbCByaXZlciBmbHV4ZXMgb2YgY2FyYm9uIGFuZCBzZWRpbWVudHMgdG8gdGhlIG9jZWFuc1wiLFwiT1JOTF9DTE9VRFwiLFwicml2ZXJfY2FyYm9uX2ZsdXhfeGRlZ18xMDI4XCIsXCIxXCIsMjc4NTMwOTEzNiwyXSIsInVtbSI6IltcImlzbHNjcCBpaSBnbG9iYWwgcml2ZXIgZmx1eGVzIG9mIGNhcmJvbiBhbmQgc2VkaW1lbnRzIHRvIHRoZSBvY2VhbnNcIixcIk9STkxfQ0xPVURcIixcInJpdmVyX2NhcmJvbl9mbHV4X3hkZWdfMTAyOFwiLFwiMVwiLDI3ODUzMDkxMzYsMl0ifQ%3D%3D/sea_surface_temp_1deg_980_1",
         "description": "Sea surface temperature (SST) is an important indicator of the state of the earth climate system as well as a key variable in the coupling between the atmosphere and the ocean. Accurate knowledge of SST is essential for climate monitoring, prediction and research. It is also a key surface boundary condition for numerical weather prediction and for other atmospheric simulations using atmospheric general circulation models and regional models. SST also is important in gas exchange between the ocean and atmosphere, including the air-sea flux of carbon. Gridded SST products have been developed to satisfy these needs. There are 3 .zip files provided with this data set.Gridded monthly and weekly sea surface temperature (SST) and long term SST monthly climatology for the period 1971-2000 are provided here. Weekly normalized error variance fields are also provided with the weekly data. The data are derived using the National Oceanic and Atmospheric Administration (NOAA) Optimum Interpolation (OI) global sea surface temperature analyses that use seven days of in situ (ship and buoy) and satellite SST observations and SST values derived from sea ice concentration. These analyses are produced weekly using optimum interpolation (OI) on a 1-degree grid. The data sets included in the ISLSCP II data collection are produced using version 2 of the OI analyses, called OIv2. In this data set, the ISLSCP II staff have masked land areas based on the ISLSCP II land/water mask. A file describing the differences between the ISLSCP II mask and the original mask used is provided.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784896919-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784896919-ORNL_CLOUD.html",
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         "description": "This ISLSCP data set is derived from the National Snow and Ice Data Center (NSIDC) Northern Hemisphere EASE-Grid Weekly Snow Cover and Sea Ice Extent product which combines snow cover and sea ice extent at weekly intervals for October 1978 through June 2001, and snow cover alone from 1966 through June 2001. The original data set was the first representation of combined snow and sea ice measurements derived from satellite observations for the period of record. Designed to facilitate study of Northern Hemisphere seasonal fluctuations of snow cover and sea ice extent, the original NSIDC data set also includes monthly climatologies describing average extent, probability of occurrence, and variance.This data set shows the extent of snow on the land at a variety of scales (1.0 degree, 0.5 degree, 0.25 degree). The values represent the percentage of days in each month where snow was present -- 100 means 100% of the month, 80 means 80% of the month, etc. There are 4 .zip files provided. Missing data is represented by -99 for water and -88 for land. The data were originally in a yearly tabular format. The file was converted to multi-scale maps by plotting each point in the tabular data onto a map of -99 (water) and -88 (land) created from the standard ISLSCP II Land/Sea Mask. ",
         "license": "proprietary"
     },
@@ -242913,7 +249803,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784881406-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784881406-ORNL_CLOUD.html",
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         "description": "This data set contains monthly average snow-free surface shortwave albedo calculated for the period 1982-1998 and estimates of background soil/litter reflectances in the visible (0.4-0.7 mm) and near-infrared (NIR) (0.7-1.0 mm) wavelengths. Biophysical Parameters derived from the FASIR-NDVI (Fourier Adjusted, Solar zenith angle correction, Interpolation, and Reconstruction of Normalized Difference Vegetation Index) data set developed for the ISLSCP Initiative II data collection for the months of January 1982 through December 1998 were used to calculate monthly mean surface albedos at 1 X 1 degree spatial resolution for vegetated land surfaces (Sellers et al, 1996b) for the wavelength interval from 0.4 to 3.0 mm. The instantaneous albedo is a function of the properties of the land surface and the solar zenith angle. The monthly mean albedo is an average weighted over time weighted by the incident radiation. NDVI data are used to generate the biophysical parameters leaf area index (LAI) and green fraction of vegetation (Greenness) used by the canopy radiative transfer model of the Simple Biosphere (SiB2) model (Sellers et al, 1996a), which computes the instantaneous albedo. This is coupled to the Colorado State University (CSU) General Circulation Model (GCM) (Randall et al, 1989) which integrates the SiB2 radiative transfer through time. The incident radiation for weighting the time-averaged albedo was provided by a previous run of the GCM using the atmospheric radiation parameterization of Harshvardhan et al (1987). The Harshvardhan parameterization models radiative transfer through the atmosphere in both the longwave and shortwave bands, including the effects of cloudiness and water vapor, carbon dioxide and ozone. The shortwave radiation distinguishes between the direct and diffuse components of the solar beam.",
         "license": "proprietary"
     },
@@ -243043,7 +249933,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807648392-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807648392-ORNL_CLOUD.html",
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         "description": "GIS layers that describe the soils of the BOREAS SSA.  Original data were submitted as vector layers that were then gridded by BOREAS staff to a 30-meter pixel size in the AEAC projection.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927742817-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927742817-ORNL_CLOUD.html",
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         "description": "Gridded from vector layers of soil maps received from Dr. Hugo Veldhuis, who did the original mapping in the field during 1994.The vector layers were gridded into raster files that cover the NSA-MSA and tower sites.",
         "license": "proprietary"
     },
@@ -243082,7 +249972,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093369-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093369-ORNL_CLOUD.html",
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         "description": "Vector layers of soil maps. The vector layers were converted to ARC/INFO EXPORT files.  These data cover 1-km diameters around each of the NSA tower sites and another layer covers the NSA-MSA.",
         "license": "proprietary"
     },
@@ -243095,7 +249985,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2927721796-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927721796-ORNL_CLOUD.html",
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         "description": "Gridded from vector layers of soil maps that were received from Dr. Darwin Anderson TE-01, who did the original soil mapping in the field during 1994. The vector layers were gridded into raster files that cover approximately 1 square kilometer over each of the SSA tower sites.",
         "license": "proprietary"
     },
@@ -243121,7 +250011,7 @@
         "bbox": "-85, -25, -30, 5",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777324266-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777324266-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGFuZCBzdXJmYWNlIHBoZW5vbG9neSwgZWRkeSBjb3ZhcmlhbmNlIHRvd2VyIHNpdGVzLCBub3J0aCBhbWVyaWNhLCAyMDE3LTIwMjFcIixcIk9STkxfQ0xPVURcIixcIlBoZW5vbG9neV9BbWVyaUZsdXhfTmVvbl9TaXRlc18yMDMzXCIsXCIxXCIsMjc2NDY5MzIxMCwyXSIsInVtbSI6IltcImxhbmQgc3VyZmFjZSBwaGVub2xvZ3ksIGVkZHkgY292YXJpYW5jZSB0b3dlciBzaXRlcywgbm9ydGggYW1lcmljYSwgMjAxNy0yMDIxXCIsXCJPUk5MX0NMT1VEXCIsXCJQaGVub2xvZ3lfQW1lcmlGbHV4X05lb25fU2l0ZXNfMjAzM1wiLFwiMVwiLDI3NjQ2OTMyMTAsMl0ifQ%3D%3D/soller_wetlands_674_1",
         "description": "This data set consists of a subset of a 1-degree gridded global freshwater wetlands database (Stillwell-Soller et al. 1995). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The data are in ASCII GRID format.The global freshwater wetlands database was assembled from two data sets: Aselman and Crutzen's (1989) wetlands data set and Klinger's political Alaska data set (pers. comm. to L. M. Stillwell-Soller, 1995). The aim of Stillwell-Soller's global data set was to provide an accurate, comprehensive and uniform set of files for convenient specification of wetlands in global climate models. The main source of data was Aselman and Crutzen's global maps of percent cover for a variety of wetlands categories at 2.5-degree latitude by 5-degree longitude resolution. There was some reorganization for seasonally varying categories. Aselman and Crutzen's data were interpolated to a standard 1-degree by 1-degree grid through bilinear interpolation. Their data were geographically complete except for the Alaskan region, for which Klinger's data set provided values.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/soller_wetlands/comp/soller_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
         "license": "proprietary"
     },
@@ -243238,7 +250128,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804756210-ORNL_CLOUD.html",
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         "description": "For BOREAS, the level-3s SPOT data, along with the other remotely sensed images,were collected in order to provide spatially extensive information over the primary study areas.  This information includes radiant energy, detailed landcover, and biophysical parameter maps such as FPAR and LAI. The SPOT images acquired for the BOREAS project were selected primarily to fill temporal gaps in the Landsat TM image data collection.",
         "license": "proprietary"
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         "description": "This data set contains cloud and meteorology data on a 1.0 degree x 1.0 degree spatial resolution. There are eight data files (*.zip) with this data set for several cloud parameters (monthly only) and meteorological parameters including monthly surface skin temperature, monthly total column ozone, and water vapor burdens for the period 1986-1995. All monthly parameters include files with a monthly mean value, a monthly standard deviation, and monthly minimum and maximum values. ",
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         "description": "This data set contains global Surface Radiation Budget (SRB) and a few top-of-atmosphere (TOA) radiation budget parameters on a 1-degree x 1-degree spatial resolution. These parameters are provided as monthly, monthly-3 hourly (i.e. monthly average for a particular 3 hourly period) and 3-hourly averages. All monthly parameters include files with a monthly mean value, a monthly standard deviation, and monthly minimum and maximum values. The surface and TOA Shortwave (SW) radiative parameters were computed with the Pinker and Laszlo (1992) radiation model. The Longwave (LW) SRB parameters were derived with the Gupta et al. (1992) model. Meteorological inputs for all processing were taken from the Goddard Earth Observing System version 1 (GEOS-1) reanalysis data sets (Schubert et al., 1993) from the Data Assimilation Office (DAO), at NASA Goddard Space Flight Center (GSFC). Required cloud parameters were derived at NASA Langley Research Center (LaRC) from International Satellite Cloud Climatology Project (ISCCP) DX data using the algorithms developed at the NASA Goddard Institute for Space Studies (GISS) (Rossow et al., 1996). Surface albedos are derived internally in the Pinker and Laszlo SW model. There are 30 compressed data files (*.zip) with this data set. When the *.zip files are expanded, there are 114,912 3-hourly files, 42,064 diurnal files, and 6,254 monthly files. ",
         "license": "proprietary"
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         "description": "Contains surface meteorology data merged/interpolated from four BOREAS sites for the years 1994, 1995, and 1996.",
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         "description": "Raster files created by processing original vector data.  Data include information of forest parameters for the BOREAS SSA MSA.",
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         "description": "This data set was prepared by the SERM-FBIU.  The data include information on forest parameters and cover the area in and near the BOREAS SSA, excluding the PANP.",
         "license": "proprietary"
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@@ -243732,7 +250622,7 @@
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         "description": "Contains measurements from the airborne auto tracking sun photometers on board the NASA Ames C-130 aircraft, operated by RSS12 (Wrigley).",
         "license": "proprietary"
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@@ -244265,7 +251155,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093243-ORNL_CLOUD.html",
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         "description": "This data set provides a set of soil properties for the SSA. The soil samples were collected at sets of soil pits. Major soil properties include soil horizon; dry soil color; pH; bulk density; total, organic, and inorganic carbon; electric conductivity; cation exchange capacity; exchangeable sodium, potassium, calcium, magnesium, and hydrogen; water content at 0.01, 0.033, and 1.5 MPascals; nitrogen; phosphorus; particle size distribution; texture; pH of the mineral soil and of the organic soil; extractable acid; and sulfur.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127606-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127606-ORNL_CLOUD.html",
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         "description": "Contains 1996 TE-04 data of branch bag studies of photosynthesis, respiration and stomatal conductance of boreal forest species using the open MPH-1000 system.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127663-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127663-ORNL_CLOUD.html",
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         "description": "Contains TE-04 data on gas exchange studies of photosynthesis, respiration and stomatal conductance of boreal forest species using the MPH-1000 system.  ",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128840-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128840-ORNL_CLOUD.html",
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         "description": "Contains tree summary information for the TE-07 dendrology data.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128933-ORNL_CLOUD.html",
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         "description": "Contains sap flow data collected by TE-07.",
         "license": "proprietary"
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@@ -244330,7 +251220,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128991-ORNL_CLOUD.html",
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         "description": "Contains bark biochemical data collected by TE-08.",
         "license": "proprietary"
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@@ -244343,7 +251233,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129186-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129186-ORNL_CLOUD.html",
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         "description": "Contains bark opical data collected by the TE-08 team during the BOREAS field campaign.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129402-ORNL_CLOUD.html",
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         "description": "Contains foliar chlorophyll measurements collected by the TE-09 team.  ",
         "license": "proprietary"
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@@ -244369,7 +251259,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129226-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129226-ORNL_CLOUD.html",
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         "description": "Contains in situ diurnal gas exchange and water potential data for forest stand in the Northern Study Area collected by TE-09.  ",
         "license": "proprietary"
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@@ -244382,7 +251272,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129512-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129512-ORNL_CLOUD.html",
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         "description": "Contains TE-09 data on the response of photosynthetic capacity to foliage nitrogen concentration and photosynthetic capacity in the canopies of Norther Study Area sites.",
         "license": "proprietary"
     },
@@ -244395,7 +251285,7 @@
         "bbox": "-98.67, 55.84, -97.34, 56",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129440-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129440-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHRlLTA1IGxlYWYgZ2FzIGV4Y2hhbmdlIGRhdGFcIixcIk9STkxfQ0xPVURcIixcInRlNWxneGRfMzI0XCIsXCIxXCIsMjgwODEyODE1NiwyXSIsInVtbSI6IltcImJvcmVhcyB0ZS0wNSBsZWFmIGdhcyBleGNoYW5nZSBkYXRhXCIsXCJPUk5MX0NMT1VEXCIsXCJ0ZTVsZ3hkXzMyNFwiLFwiMVwiLDI4MDgxMjgxNTYsMl0ifQ%3D%3D/te09pnd_342_1",
         "description": "This data table contains data collected by TE09 on the relationship between PAR and foliage nitrogen in the canopies of NSA-OBS, NSA-UBS, NSA-YJP, NSA-OJP and NSA-OASP.",
         "license": "proprietary"
     },
@@ -244408,7 +251298,7 @@
         "bbox": "-98.67, 55.88, -98.48, 55.93",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129563-ORNL_CLOUD.html",
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         "description": "Data collected in support of efforts to characterize and interpret information on the reflectance, transmittance, gas exchange, oxygen evolution, and biochemical properties of boreal vegetation. This data set describes the spectral optical properties (reflectance and transmittance) of boreal forest conifers and broadleaf tree leaves as measured with a Spectron Engineering SE590 spectroradiometer at the SSA OBS, OJP, YJP, OA, OA-AUX, YA-AUX, and YA sites.  The data were collected during the growing seasons of 1994 and 1996.",
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         "description": "Data collected in support of efforts to characterize and interpret information on the sapflow, gas exchange, and lichen photosynthesis.",
         "license": "proprietary"
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         "description": "Contains data on water potential for the Southern Study Area, Fen, Young Jack Pine, Young Aspen, and Old Black Spruce sites.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129981-ORNL_CLOUD.html",
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         "description": "Contains data collected by TE-12 of single leaf gas exchange properties of dominant vascular plant species in the SSA in 1994 and 1995.",
         "license": "proprietary"
     },
@@ -244538,7 +251428,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130345-ORNL_CLOUD.html",
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         "description": "Contains leaf optical properties data collected by the BOREAS TE-12 team.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091415-ORNL_CLOUD.html",
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         "description": "Contains measurements of average incoming PAR through the forest canopy by TE-12.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130390-ORNL_CLOUD.html",
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         "description": "Contains the shoot geometry data for both coniferous and deciduous samples taken by BOREAS TE-12.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761659491-ORNL_CLOUD.html",
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         "description": "The Boreal Ecosystem-Atmosphere Study (BOREAS) Terrestrial Ecology (TE)-13 team collected data on site characteristics, soil profiles, woody debris, overstory vegetation, and understory vegetation from approximately 100 sites in the Southern Study Area (SSA), Northern Study Area (NSA), and Transect Areas in the boreal forest. This data sets provides 3 reports published by the Canadian Forest Service for the BOREAS project in pdf file format.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929145377-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929145377-ORNL_CLOUD.html",
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         "description": "A BOREAS version of the Global Production Efficiency Model(www.inform.umd.edu/glopem) was developed by TE-17 to generate maps of gross and net primary production, autotrophic respiration, and light use efficiency for the BOREAS region.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093319-ORNL_CLOUD.html",
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         "description": "The GEOSAIL model was created by combining the SAIL (Scattering from Arbitrarily Inclined Leaves) model with the Jasinski geometric model to simulate canopy spectral reflectance and absorption of photosynthetically active radiation for discontinuous canopies. Tree shapes are described by cylinders or cones distributed over a plane. Spectral reflectance and transmittance of trees are calculated from the SAIL model to determine the reflectance of the three components used in the geometric model: illuminated canopy, illuminated background, shadowed canopy, and shadowed background.",
         "license": "proprietary"
     },
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         "description": "The BOREAS TE-18 team used a radiometric rectification process to produce standardized DN values for a series of Landsat TM images of the BOREAS SSA and NSA in order to compare images that were collected under different atmospheric conditions. The images for each study area were referenced to an image that had very clear atmospheric qualities. Each of the reference scenes had coincident atmospheric optical thickness measurements made by RSS-11.",
         "license": "proprietary"
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         "description": "The BOREAS TE-18 team used a radiometric rectification process to produce standardized DN values for a series of Landsat TM images of the BOREAS SSA and NSA in order to compare images that were collected under different atmospheric conditions. The images for each study area were referenced to an image that had very clear atmospheric qualities.",
         "license": "proprietary"
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@@ -244642,7 +251532,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929487616-ORNL_CLOUD.html",
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         "description": "The Spruce and Moss Model (SPAM) was designed to simulate the daily carbon balance of a black spruce/moss boreal forest ecosystem. It is driven by daily weather conditions and consists of four components: (1) soil climate; (2) tree photosynthesis and respiration; (3) moss photosynthesis and respiration; and (4) litter decomposition and associated heterotrophic respiration. The model can be used to generate predictions of total site net ecosystem exchange of carbon (NEE), total soil dark respiration (live roots + heterotrophs + live moss), spruce and moss net productivity, and net carbon accumulation in the soil.",
         "license": "proprietary"
     },
@@ -244655,7 +251545,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807648526-ORNL_CLOUD.html",
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         "description": "Contains the TE-01 CH4 flux data for the southern study area old aspen site.",
         "license": "proprietary"
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@@ -244668,7 +251558,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807650141-ORNL_CLOUD.html",
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         "description": "Contains TE-01 methane flux and inorganic concentrations at the southern study area fen site.",
         "license": "proprietary"
     },
@@ -244681,7 +251571,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807648575-ORNL_CLOUD.html",
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         "description": "The BOREAS TE-20 team collected several data sets for use in developing and testing models of forest ecosystem dynamics. This data set contains measurements of site characteristics conducted in the SSA from 18-Jul-1994 to 30-Jul-1994.",
         "license": "proprietary"
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         "description": "Contains the soils lab data that were collected by TE-20 in 1994.",
         "license": "proprietary"
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         "description": "Data for use in developing and testing models of forest ecosystem dynamics. The data set describes the soils and landscape characteristics of the NSA-MSA and tower sites.",
         "license": "proprietary"
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         "description": "Contains meteorological measurement data collected by TE-21.",
         "license": "proprietary"
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         "description": "The BOREAS TE-22 team collected data sets in support of its efforts to characterize and interpret information on the forest structure of boreal vegetation in the SSA and NSA during the 1994 growing season.",
         "license": "proprietary"
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         "description": "Tree core  data from several sites in the SSA and NSA collected in order to perform historical growth studies and relate the information to their modeling activities. The cores were collected during the summer of 1994 in the Northern and Southern Study Areas. A sample of the file types resulting from the analysis of the tree cores is provided. ",
         "license": "proprietary"
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         "description": "Hemispherical photographs collected in support of the effort to characterize and interpret information on estimates of canopy architecture and radiative transfer properties for most BOREAS study sites. Various OA, OBS, OJP, YJP, and YA sites in the boreal forest were measured from May to August 1994. The hemispherical photographs were used to derive values of LAI, Leaf angle, Gap fraction, and Clumping index.  ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130597-ORNL_CLOUD.html",
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         "description": "Describes the mapped plot data and the mapped plot site data taken by TE-23.",
         "license": "proprietary"
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@@ -244798,7 +251688,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807652682-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807652682-ORNL_CLOUD.html",
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         "description": "Contains foliage respiration data collected by TE-02.",
         "license": "proprietary"
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@@ -244811,7 +251701,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807653050-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807653050-ORNL_CLOUD.html",
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807652390-ORNL_CLOUD.html",
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         "license": "proprietary"
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127926-ORNL_CLOUD.html",
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         "description": "This table contains data collected by TE05  in the NSA and SSA on air stable istope measurements.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128013-ORNL_CLOUD.html",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128106-ORNL_CLOUD.html",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128156-ORNL_CLOUD.html",
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         "description": "Contains the leaf gas exchange data collected by TE-05 in the NSA and SSA.",
         "license": "proprietary"
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@@ -244915,7 +251805,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128293-ORNL_CLOUD.html",
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         "description": "Contains meteorological data collected during field campaigns by TE-05.",
         "license": "proprietary"
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@@ -244928,7 +251818,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128221-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128221-ORNL_CLOUD.html",
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         "description": "Contains data collected by TE-05 on soil gas exchange data in the NSA and SSA in 1994.",
         "license": "proprietary"
     },
@@ -244941,7 +251831,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128380-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128380-ORNL_CLOUD.html",
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         "description": "Contains tree ring width and C13 isotope cellulose ratio data collected by TE-05.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128623-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128623-ORNL_CLOUD.html",
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         "description": "Contains allometry data collected by TE-06.",
         "license": "proprietary"
     },
@@ -244967,7 +251857,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128654-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128654-ORNL_CLOUD.html",
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         "description": "Contains biomass data collected by TE-06.",
         "license": "proprietary"
     },
@@ -244980,7 +251870,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128749-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128749-ORNL_CLOUD.html",
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         "description": "Contains data collected by TE-06 on pre-dawn leaf water potential and foliage moisture content.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128688-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128688-ORNL_CLOUD.html",
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         "description": "Describes the average data values derived from the multi-vegetation imager used by TE-06 during the BOREAS project.Describes the single point data values derived from the multi-vegetation imager used by TE-06 during the BOREAS project.",
         "license": "proprietary"
     },
@@ -245006,7 +251896,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807606269-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807606269-ORNL_CLOUD.html",
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         "description": "Contains Net primary production data gathered by the TE-06 group in the NSA and SSA.",
         "license": "proprietary"
     },
@@ -245019,7 +251909,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128479-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128479-ORNL_CLOUD.html",
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         "description": "Contains soil temperature data collected by TE-06 during the BOREAS project.",
         "license": "proprietary"
     },
@@ -245032,7 +251922,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129316-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129316-ORNL_CLOUD.html",
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         "description": "Contains values of canopy biochemistry derived by the TE-09 team.  ",
         "license": "proprietary"
     },
@@ -245045,7 +251935,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129359-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129359-ORNL_CLOUD.html",
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         "description": "Contains sample measurements of the canopy biochemistry measured by the TE-09 team.  ",
         "license": "proprietary"
     },
@@ -245058,7 +251948,7 @@
         "bbox": "-98.62, 55.9, -97.34, 56",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129283-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129283-ORNL_CLOUD.html",
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         "description": "Contains forest understory spectral reflectance data collected by BOREAS TE-09 at the ground level in the Old Jack Pine, Young Jack Pine nd Young Aspen boreal forest sites in the NSA.  ",
         "license": "proprietary"
     },
@@ -245097,7 +251987,7 @@
         "bbox": "-106.2, 53.63, -106.2, 53.63",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092710-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092710-ORNL_CLOUD.html",
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         "description": "Data collected in support of the effort to characterize and interpret soil information at the SSA-OA tower site in 1994. Data collected include soil respiration, temperature, moisture, and gravimetric data.",
         "license": "proprietary"
     },
@@ -245110,7 +252000,7 @@
         "bbox": "-106.2, 53.63, -106.2, 53.63",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092747-ORNL_CLOUD.umm_json",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131091-ORNL_CLOUD.html",
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         "description": "Contains temperature, pH, and CH4 and CO2 concentration profiles in the surface 50 cm of peat.",
         "license": "proprietary"
     },
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         "bbox": "-104.62, 53.8, -104.62, 53.8",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131145-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131145-ORNL_CLOUD.html",
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         "description": "Contains decomposition rates of a standard substrate (wheat straw).",
         "license": "proprietary"
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@@ -245266,7 +252156,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131130-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131130-ORNL_CLOUD.html",
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         "description": "Contains CH4 and CO2 static chamber fluxes at the SSA-FEN.",
         "license": "proprietary"
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         "bbox": "-104.62, 53.8, -104.62, 53.8",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091118-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091118-ORNL_CLOUD.html",
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         "description": "Contains the TF-11 Leaf Area Index (LAI) data collected at the SSA Fen site.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091049-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091049-ORNL_CLOUD.html",
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         "description": "Contains the TF-11 leaf gas exchange data made with the LI-6200 and LI-6400 systems.",
         "license": "proprietary"
     },
@@ -245305,7 +252195,7 @@
         "bbox": "-104.62, 53.8, -104.62, 53.8",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808090702-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808090702-ORNL_CLOUD.html",
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         "description": "Contains the TF-11 CO2 chamber flux measurements made with the LI-6200 under water surface film conditions and  the TF-11 CO2 chamber concentration measurements made using the Gas Chromatograph-Flame Ionization Detector.",
         "license": "proprietary"
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@@ -245318,7 +252208,7 @@
         "bbox": "-104.62, 53.8, -104.62, 53.8",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091100-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091100-ORNL_CLOUD.html",
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         "description": "Contains the TF-11 soil surface CO2 flux data that were measured using a portable gas exchange system.",
         "license": "proprietary"
     },
@@ -245331,7 +252221,7 @@
         "bbox": "-104.62, 53.8, -104.62, 53.8",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131174-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131174-ORNL_CLOUD.html",
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         "description": "The flux and ancillary data collected at the SSA-Fen tower flux site by the TF-11 group.",
         "license": "proprietary"
     },
@@ -245344,7 +252234,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092858-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092858-ORNL_CLOUD.html",
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         "description": "This data set contains methane (CH4) and nitrous oxide (N2O)fluxes that were measured at the BOREAS SSA-OA site",
         "license": "proprietary"
     },
@@ -245357,7 +252247,7 @@
         "bbox": "-106.2, 53.63, -106.2, 53.63",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092322-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092322-ORNL_CLOUD.html",
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         "description": "The BOREAS TF-02 team collected various trace gas and energy flux data along with meteorological parameters at the SSA-OA site. This data set contains meteorological and ozone measurements from instruments mounted below a tethered balloon. These data were collected at the SSA-OA site to extend meteorological and ozone measurements made from the flux tower to heights of 300 m.",
         "license": "proprietary"
     },
@@ -245370,7 +252260,7 @@
         "bbox": "-98.48, 55.88, -98.48, 55.88",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130613-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130613-ORNL_CLOUD.html",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130676-ORNL_CLOUD.html",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130715-ORNL_CLOUD.html",
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         "description": "Contains fluxes of carbon dioxide and methane across the soil-air interface in four ages of jack pine forest at the Southern Study Area.  Gross and net flux of CO2 and flux of CH4 between soil and air are presented for 24 chamber sites in mature jack pine stands.",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130735-ORNL_CLOUD.html",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130760-ORNL_CLOUD.html",
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         "description": "The flux and ancillary data collected at the SSA-OJP tower flux site by the TF-05 group.",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130804-ORNL_CLOUD.html",
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         "description": "Contains meteorology data collected at the SSA-YA tower flux site by the TF6 group. These data were reported at 10 minute intervals. The flux and ancillary data collected at the SSA-YA tower flux site by the TF6 group.",
         "license": "proprietary"
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@@ -245448,7 +252338,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130816-ORNL_CLOUD.html",
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         "description": "CO2 and H2O vapor exchange and ancillary data collected from enclosures around the black spruce branches.  Data collected by the TF-09 group at the SSA-OBS site.",
         "license": "proprietary"
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@@ -245461,7 +252351,7 @@
         "bbox": "-105.12, 53.99, -105.12, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130862-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130862-ORNL_CLOUD.html",
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         "description": "Soil temperature and heat flux data from the SSA-OBS site, collected by the TF-09 group; and the flux and ancillary data collected at the SSA-OBS tower flux site by the TF-09 group.",
         "license": "proprietary"
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@@ -245474,7 +252364,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091208-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091208-ORNL_CLOUD.html",
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         "description": "Contains TGB-03 dissolved organic carbon concentration data for northern study area.",
         "license": "proprietary"
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@@ -245487,7 +252377,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132198-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132198-ORNL_CLOUD.html",
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         "description": "Contains oxidant (O3, H2O2, ROOH) concentration data collected by TGB-10 for the Southern Study Area.",
         "license": "proprietary"
     },
@@ -245500,7 +252390,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132223-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132223-ORNL_CLOUD.html",
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         "description": "Contains oxidant flux data collected by TGB-10 for sites in the Southern Study Area.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132327-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132327-ORNL_CLOUD.html",
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         "description": "Contains biogenic VOC data collected by TGB-10 during the summer of 1994.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093149-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093149-ORNL_CLOUD.html",
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         "description": "This data set contains (1) estimates of soil carbon stocks by horizon based on soil survey data and analyses of data from individual soil profiles; (2) estimates of soil carbon fluxes based on stocks, fire history, drainage, and soil C inputs and decomposition constants based on field work using radiocarbon analyses; (3) fire history data estimating age ranges of time since last fire; (4) a raster image and an associated soils table file from which area-weighted maps of soil carbon and fluxes and fire history may be generated.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132353-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132353-ORNL_CLOUD.html",
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         "description": "Contains TGB-12 soil CO2 flux data for sites in the northern study area.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808087726-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808087726-ORNL_CLOUD.html",
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         "description": "Contains RADON-222 activity in soil gas collected by TGB-12 at 5 BOREAS auxiliary sites in the northern study area.",
         "license": "proprietary"
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@@ -245565,7 +252455,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808089765-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808089765-ORNL_CLOUD.html",
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         "description": "Contains RADON-222 flux data data collected by TGB-12 in the northern study area.",
         "license": "proprietary"
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@@ -245578,7 +252468,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808089794-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808089794-ORNL_CLOUD.html",
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         "description": "Contains the soil carbon data collected by TGB-12 in the northern study area.",
         "license": "proprietary"
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@@ -245591,7 +252481,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093474-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093474-ORNL_CLOUD.html",
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         "description": "Data collected to support analysis of soil carbon content in the NSA. Other ancillary information was stored and provided in two sets of soil pit description and surface vegetation transect files.  In addition, a site description file provides more information on the positioning of the sampling sites.",
         "license": "proprietary"
     },
@@ -245604,7 +252494,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131236-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131236-ORNL_CLOUD.html",
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         "description": "Contains TGB-01 carbon chamber flux data for Northern Study Area.  ",
         "license": "proprietary"
     },
@@ -245617,7 +252507,7 @@
         "bbox": "-98.62, 55.88, -98.29, 55.93",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131369-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131369-ORNL_CLOUD.html",
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         "description": "Contains TGB-01 carbon soil profile data for Northern Study Area.",
         "license": "proprietary"
     },
@@ -245630,7 +252520,7 @@
         "bbox": "-98.63, 55.85, -98.04, 55.94",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131256-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131256-ORNL_CLOUD.html",
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131327-ORNL_CLOUD.html",
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131469-ORNL_CLOUD.html",
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         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131515-ORNL_CLOUD.html",
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         "description": "Composition of plant species that were within the collars used to measure net ecosystem exchange (NEE).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131454-ORNL_CLOUD.html",
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         "license": "proprietary"
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@@ -245695,7 +252585,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091300-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091300-ORNL_CLOUD.html",
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         "description": "The flux and ancillary data collected at the NSA-BP tower flux site by the TGB-04 group.",
         "license": "proprietary"
     },
@@ -245708,7 +252598,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091319-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091319-ORNL_CLOUD.html",
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         "description": "Contains TGB-04  water and sediment temperature data for northern study area (tower beaver pond site).",
         "license": "proprietary"
     },
@@ -245721,7 +252611,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131739-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131739-ORNL_CLOUD.html",
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         "description": "Contains the TGB-05 CO, CO2, and CH4 flux data for sites in the Boreas Northern Study Area.",
         "license": "proprietary"
     },
@@ -245734,7 +252624,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131800-ORNL_CLOUD.html",
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         "description": "Contains the TGB-05 dissolved organic carbon data for the Northern Study Area beaver pond site.",
         "license": "proprietary"
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@@ -245747,7 +252637,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131554-ORNL_CLOUD.html",
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         "description": "Contains the TGB-05 NO and N2O flux data for sites in the Northern Study Area.  ",
         "license": "proprietary"
     },
@@ -245760,7 +252650,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131966-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131966-ORNL_CLOUD.html",
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         "description": "Contains 1993, 1994, and 1996 methane concentrations from TGB-06 in the NSA and SSA.",
         "license": "proprietary"
     },
@@ -245773,7 +252663,7 @@
         "bbox": "-106.07, 53.92, -106.07, 53.92",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131993-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131993-ORNL_CLOUD.html",
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         "description": "Contains herbicide and organic chlorine concentrations in ambient air samples for TGB-07 in the SSA.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132025-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132025-ORNL_CLOUD.html",
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         "description": "Contains herbicide and organic chlorine fluxes in dry deposition samples for TGB-07 in the SSA.",
         "license": "proprietary"
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@@ -245799,7 +252689,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132038-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132038-ORNL_CLOUD.html",
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         "description": "Contains 1993 and 1994 herbicide concentrations in rain samples for TGB-07 in the SSA.",
         "license": "proprietary"
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@@ -245812,7 +252702,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132062-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132062-ORNL_CLOUD.html",
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         "description": "Contains monoterpene emission and concentration data collected by the TGB-08 BOREAS science group.",
         "license": "proprietary"
     },
@@ -245825,7 +252715,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132108-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132108-ORNL_CLOUD.html",
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         "description": "Contains TGB-08 Photosynthesis data measured at 30C by month.",
         "license": "proprietary"
     },
@@ -245838,7 +252728,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132136-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132136-ORNL_CLOUD.html",
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         "description": "Contains starch concentration data collected by TGB-08 from the SSA-OBS and SSA-OJP BOREAS sites in 1994.",
         "license": "proprietary"
     },
@@ -245851,7 +252741,7 @@
         "bbox": "-106.2, 53.63, -104.69, 53.99",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132169-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132169-ORNL_CLOUD.html",
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         "description": "Contains the mixing ratio and concentration of Non-Methane HydroCarbons (NMHC) taken by the TGB-09 group.",
         "license": "proprietary"
     },
@@ -245864,7 +252754,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131382-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131382-ORNL_CLOUD.html",
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         "description": "Contains TGB-03 methane flux data for fens in the Northern Study Area.",
         "license": "proprietary"
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@@ -245877,7 +252767,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131414-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131414-ORNL_CLOUD.html",
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         "description": "Contains TGB-03 NET Ecosystem Exchange data from the combined TGB-01 and TGB-03 teams.",
         "license": "proprietary"
     },
@@ -245942,7 +252832,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804789959-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804789959-ORNL_CLOUD.html",
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         "description": "Height, crown width, DBH, and height-to-crown distance collected using variable-radius plot sampling with steel tape and hand-held compass to locate points along transect",
         "license": "proprietary"
     },
@@ -245968,7 +252858,7 @@
         "bbox": "-106.32, 53.42, -97.23, 56.25",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927623814-ORNL_CLOUD.html",
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         "description": "TIMS imagery, along with other aircraft images, was collected to provide spatially extensive information over the primary study areas.  The level-1B TIMS images cover the time periods of 16-Apr-1994 to 20-Apr-1994 and 06-Sep-1994 to 17-Sep-1994. ",
         "license": "proprietary"
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         "license": "proprietary"
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         "description": "Average spectral reflectance measurements of the ground surface of BOREAS flux tower sites. Measurements made along a transect with the instrument held at approximately one meter above the ground.",
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         "description": "The objective of this study was to derive continuous fields of vegetation cover from multi-temporal Advanced Very High Resolution Radiometer (AVHRR) data using all available bands and derived Normalized Difference Vegetation Index (NDVI). The continuous fields describe sub-pixel proportions of cover for tree, herbaceous, bare ground and water cover types. For tree cover, additional fields describing leaf longevity (evergreen and deciduous) and leaf morphology (broadleaf and needleleaf) were also generated. The modeling of carbon dynamics and climate require knowing tree characteristics such as these. These products were resampled and aggregated to 0.25, 0.5 and 1.0 degree grids for the International Satellite Land Surface Climatology Project (ISLSCP) data initiative II. The data set describes the geographic distributions of three fundamental vegetation characteristics: tree, herbaceous and bare ground cover, plus a water layer. For tree cover, leaf longevity and morphology layers were produced.This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.",
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         "description": "The VEMAP 1: Model Input Database CD-ROM ISO image contains long-term data that were used as input in comparing models during Phase 1 of the Vegetation Ecosystem Modeling and Analysis Project. Compiled and model-generated data sets of long-term mean climate, soils, vegetation, and climate change scenarios for the conterminous United States.  Dates of the data sets range between 1895 and 1996.  The data are gridded at 0.5 degree latitude by 0.5 degree longitude.",
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         "description": "This data set provides the results of the development of The Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) Phase 2 transient climate change scenarios for the state of Alaska, USA. The data include gridded monthly historical and future estimates of maximum and minimum temperature, solar radiation, vapor pressure, irradiance, relative humidity and potential evapotranspiration at 0.5-degree spatial resolution. Historical data are for the period 1922-1996; future estimates cover the period 1997-2100.",
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         "description": "An integrated input data set for ecosystem and vegetation modeling for the conterminous United States: Georeferencing",
         "license": "proprietary"
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         "description": "The Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) was a multi-institutional, international effort addressing the response of biogeography and biogeochemistry to environmental variability in climate and other drivers in both space and time domains. The objectives of VEMAP are the intercomparison of biogeochemistry models and vegetation type distribution models (biogeography models) and determination of their sensitivity to changing climate, elevated atmospheric carbon dioxide concentrations, and other sources of altered forcing.Selected variable output results from the VEMAP Phase I modeling exercise are now available for several combinations of biogeochemistry and biogeography models and climate change scenarios through the ORNL DAAC. For a description of the models and climate scenarios employed in the VEMAP 1 project and a discussion of the results please refer to the following publication: VEMAP Members. 1995. Vegetation/Ecosystem Modeling and Analysis Project: Comparing biogeography and biogeochemistry models in a continental-scale study of terrestrial ecosystem responses to climate change and CO2 doubling. Global Biogeochem. Cycles 9:407-437.",
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         "description": "VEMAP Phase 2 has developed a number of transient climate change scenarios based on coupled atmosphere-ocean general circulation model (AOGCM) transient climate experiments.  The purpose of these scenarios is to reflect time-dependent changes in surface climate from AOGCMs in terms of both (1) long-term trends and (2) changes in multiyear (3-5 yr) to decadal variability, such as El Nino/Southern Oscillation (ENSO).",
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         "description": "Data sets of transient climate change scenarios based on coupled atmosphere-ocean general circulation model (AOGCM) transient climate experiments with transient greenhouse gas and sulfate aerosol forcing.",
         "license": "proprietary"
     },
@@ -248711,7 +255601,7 @@
         "bbox": "-124, 26, -66, 50",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2908697274-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2908697274-ORNL_CLOUD.html",
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         "description": "Phase 2 of the VEMAP Project developed historical (1895-1993) gridded data sets of climate (temperature, precipitation, solar radiation, humidity, and wind speed) and projected (1994-2100) gridded annual and monthly climate data sets using output from two climate system models [CCCma (Canadian Centre for Climate Modeling and Analysis) and Hadley Centre models]. Two Phase 2 model experiments were run.  First, a set of selected  biogeochemical models and coupled biogeochemical-biogeographical models were run from 1895 to 1993 to compare model responses to the historical time series and current ecosystem biogeochemistry.  Second, these same models were run on the projected 1994 to 2100 data to compare their ecological responses to transient scenarios of climate and atmospheric CO2 change. Model runs were performed for daily, monthly, and annual gridded data sets. The output of the annual model runs in VEMAP grid format are contained in this data set. The models investigated included five biogeochemical cycling models, which simulate plant production and nutrient cycles.",
         "license": "proprietary"
     },
@@ -248724,7 +255614,7 @@
         "bbox": "-124, 26, -66, 50",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2908704847-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2908704847-ORNL_CLOUD.html",
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         "description": "Phase 2 developed historical (1895-1993) gridded data sets of climate (temperature, precipitation, solar radiation, humidity, and wind speed) and projected (1994-2100) gridded annual and monthly climate data sets using output from two climate system models [CCCma (Canadian Centre for Climate Modeling and Analysis) and Hadley Centre models]. Two Phase 2 model experiments were run. First, a set of selected  biogeochemical models and coupled biogeochemical-biogeographical models were run from 1895 to 1993 to compare model responses to the historical time series and current ecosystem biogeochemistry.  Second, these same models were run on the projected 1994 to 2100 data to compare their ecological responses to transient scenarios of climate and atmospheric CO2 change. Model runs were performed for daily, monthly, and annual gridded data sets. The output of the monthly model runs in VEMAP grid format are contained in this data set.",
         "license": "proprietary"
     },
@@ -249062,7 +255952,7 @@
         "bbox": "-180, -90, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2810678753-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2810678753-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGVhZiByZWZsZWN0YW5jZXM6IHBlcmtpbi1lbG1lciAob3R0ZXIpXCIsXCJPUk5MX0NMT1VEXCIsXCJzcGVjdHJhX3Blcmtpbl80OFwiLFwiMVwiLDI4MDQ3NjI5NjMsM10iLCJ1bW0iOiJbXCJsZWFmIHJlZmxlY3RhbmNlczogcGVya2luLWVsbWVyIChvdHRlcilcIixcIk9STkxfQ0xPVURcIixcInNwZWN0cmFfcGVya2luXzQ4XCIsXCIxXCIsMjgwNDc2Mjk2MywzXSJ9/white_model_parameters_652_1",
         "description": "Various aspects of primary production of a variety of plant species found in natural temperate biomes were compiled from literature and presented for use with process-based ecosystem simulation models or ecosystem studies.  Information was selected according to the input parameter needs of the BIOME-BGC process-based simulation model.",
         "license": "proprietary"
     },
@@ -249088,7 +255978,7 @@
         "bbox": "-85, -25, -30, 10",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777328977-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777328977-ORNL_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIG9yZ2FuaWMgc29pbCBjYXJib24gYW5kIG5pdHJvZ2VuIGRhdGEgKHppbmtlIGV0IGFsLilcIixcIk9STkxfQ0xPVURcIixcIlppbmtlX3NvaWxfNjgzXCIsXCIxXCIsMjc3NzMyNjkyNCwyXSIsInVtbSI6IltcImxiYSByZWdpb25hbCBvcmdhbmljIHNvaWwgY2FyYm9uIGFuZCBuaXRyb2dlbiBkYXRhICh6aW5rZSBldCBhbC4pXCIsXCJPUk5MX0NMT1VEXCIsXCJaaW5rZV9zb2lsXzY4M1wiLFwiMVwiLDI3NzczMjY5MjQsMl0ifQ%3D%3D/wilhend_687_1",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIiwidW1tIjoiW1wibGJhIHJlZ2lvbmFsIHBvdGVudGlhbCB2ZWdldGF0aW9uLCA1LW1pbiAocmFtYW5rdXR0eSBhbmQgZm9sZXkpXCIsXCJPUk5MX0NMT1VEXCIsXCJwb3RlbnRpYWxfdmVnZXRhdGlvbl82ODRcIixcIjFcIiwyNzc3MzI3NTczLDJdIn0%3D/wilhend_687_1",
         "description": "This data set is a subset of a global vegetation and soils data set by Wilson and Henderson-Sellers (1985a). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The data are in ASCII GRID format.The original global data set (Wilson and Henderson-Sellers 1985a) is an archive of soil type and land cover data derived for use in general circulation models (GCMs). The data were collated from maps depicting natural vegetation, forestry, agriculture, land use, and soil, and they were archived at a resolution of 1 latitude by 1 longitude. The data set indicates soil type, soil data reliability, primary vegetation, secondary vegetation, and land cover data reliability. Approximately 50 land cover classifications are used, including categories for agricultural and urban uses. The inclusion of secondary vegetation type is particularly useful in areas with cover types that may have a fragmented distribution, such as in areas of urban development. The soil type data are classified according to climatically important properties for GCMs, and they indicate color (light, medium, or dark), texture, and drainage quality of the soil. The land cover data are compatible with the soils data, forming a coherent and consistent data set. The reliability of the land cover data is ranked on a scale of 1 to 5 (high to low). The reliability of the soil data is ranked as high, good, moderate, fair, or poor.Recommendations for the use of these data, as well as more detailed information can be found in Wilson and Henderson-Sellers (1985b).Further data set information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/wilhend/comp/wilhend_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
         "license": "proprietary"
     },
@@ -249101,7 +255991,7 @@
         "bbox": "-85, -25, -30, 10",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779732234-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779732234-ORNL_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGFuZCBzdXJmYWNlIG1vZGVsIChsc20gMS4wKSBmb3IgZWNvbG9naWNhbCwgaHlkcm9sb2dpY2FsLCBhdG1vc3BoZXJpYyBzdHVkaWVzXCIsXCJPUk5MX0NMT1VEXCIsXCJMU01fODA3XCIsXCIxXCIsMjk1NjUzOTI0NCwyXSIsInVtbSI6IltcImxhbmQgc3VyZmFjZSBtb2RlbCAobHNtIDEuMCkgZm9yIGVjb2xvZ2ljYWwsIGh5ZHJvbG9naWNhbCwgYXRtb3NwaGVyaWMgc3R1ZGllc1wiLFwiT1JOTF9DTE9VRFwiLFwiTFNNXzgwN1wiLFwiMVwiLDI5NTY1MzkyNDQsMl0ifQ%3D%3D/willmott_673_1",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGFuZCBzdXJmYWNlIHBoZW5vbG9neSwgZWRkeSBjb3ZhcmlhbmNlIHRvd2VyIHNpdGVzLCBub3J0aCBhbWVyaWNhLCAyMDE3LTIwMjFcIixcIk9STkxfQ0xPVURcIixcIlBoZW5vbG9neV9BbWVyaUZsdXhfTmVvbl9TaXRlc18yMDMzXCIsXCIxXCIsMjc2NDY5MzIxMCwyXSIsInVtbSI6IltcImxhbmQgc3VyZmFjZSBwaGVub2xvZ3ksIGVkZHkgY292YXJpYW5jZSB0b3dlciBzaXRlcywgbm9ydGggYW1lcmljYSwgMjAxNy0yMDIxXCIsXCJPUk5MX0NMT1VEXCIsXCJQaGVub2xvZ3lfQW1lcmlGbHV4X05lb25fU2l0ZXNfMjAzM1wiLFwiMVwiLDI3NjQ2OTMyMTAsMl0ifQ%3D%3D/willmott_673_1",
         "description": "This data set is a subset of a 0.5-degree gridded temperature and precipitation data set for South America (Willmott and Webber 1998). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA), defined as 10 N to 25 S, 30 to 85 W. The data are in ASCII GRID format. The data consist of the following: Monthly mean air temperature time series (1960-1990), in degrees C: monthly mean air temperatures for 1960-1990 cross validation errors associated with time series monthly mean air temperatures for 1960-1990, DEM assisted interpolation cross validation errors associated with DEM assisted interpolation time series Monthly mean air temperature climatology, in degrees C: climatic means of monthly and annual air temperatures cross validation errors associated with climatic means climatic means of monthly and annual mean air temperatures, DEM assisted interpolation cross validation errors associated with DEM assisted interpolation climatic means Monthly total precipitation time series (1960-1990), in millimeters: monthly precipitation totals for 1960-1990 cross validation errors associated with time series monthly precipitation totals for 1960-1990, climatologically aided interpolation cross validation errors associated with climatologically aided interpolation time series Monthly total precipitation climatology, in millimeters: climatic means of monthly and annual precipitation totals cross validation errors associated with climatic means More information about the full data set can be found at \"Willmott, Matsuura, and Collaborators' Global Climate Resource Pages\" (http://climate.geog.udel.edu/~climate) at the University of Delaware. To obtain the original documentation and data, follow the link for \"Available Climate Data,\" register or sign in, and follow the link for \"South American Climate Data.\" Information on the LBA subset can be found at ftp://daac.ornl.gov/data/lba/physical_climate/willmott/comp/willmott_readme.pdf. ",
         "license": "proprietary"
     },
@@ -249218,7 +256108,7 @@
         "bbox": "-100, 25, -60, 50",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093948-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093948-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wid2luZCBwcm9maWxlIGRhdGE6IGxpZGFyIC0gbm9hYSAoZmlmZSlcIixcIk9STkxfQ0xPVURcIixcImZpZmVfYXRtb3Nfd2luZF9saWRfMTM4XCIsXCIxXCIsMjk4MDcyMTI3MiwyXSIsInVtbSI6IltcIndpbmQgcHJvZmlsZSBkYXRhOiBsaWRhciAtIG5vYWEgKGZpZmUpXCIsXCJPUk5MX0NMT1VEXCIsXCJmaWZlX2F0bW9zX3dpbmRfbGlkXzEzOFwiLFwiMVwiLDI5ODA3MjEyNzIsMl0ifQ%3D%3D/woody_biomass_657_1",
         "description": "Estimates of the woody biomass density and pools were derived at the county scale of resolution of all forests of the eastern United States using new approaches for converting inventoried wood volume to estimates of above and belowground biomass.",
         "license": "proprietary"
     },
diff --git a/nasa_cmr_catalog.tsv b/nasa_cmr_catalog.tsv
index c9869e4369..56853c71ed 100644
--- a/nasa_cmr_catalog.tsv
+++ b/nasa_cmr_catalog.tsv
@@ -1101,6 +1101,31 @@ ABI_G16-STAR-L2P-v2.70_2.70	GHRSST NOAA/STAR GOES-16 ABI L2P America Region SST
 ABI_G16-STAR-L3C-v2.70_2.70	GHRSST NOAA/STAR GOES-16 ABI  L3C America Region SST v2.70 dataset in GDS2	POCLOUD STAC Catalog	2017-12-15		-135, -59, -15, 59	https://cmr.earthdata.nasa.gov/search/concepts/C2036877612-POCLOUD.umm_json	The ACSPO G16/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G16/ABI L2P product available at https://podaac.jpl.nasa.gov/dataset/ABI_G16-STAR-L2P-v2.70. The L3C output files are 1hr granules in netCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). There are 24 granules per 24hr interval, with a total data volume of 0.2GB/day. Fill values are reported at all invalid pixels, including pixels with 5 km inland.  For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), the following layers are reported: SSTs, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed, and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://podaac.jpl.nasa.gov/dataset/CMC0.1deg-CMC-L4-GLOB-v3.0). All valid SSTs in L3C are recommended for users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).	proprietary
 ABI_G17-STAR-L2P-v2.71_2.71	GHRSST NOAA/STAR GOES-17 ABI L2P America Region SST v2.71 dataset in GDS2	POCLOUD STAC Catalog	2019-10-16	2023-01-10	163, -60, -77, 60	https://cmr.earthdata.nasa.gov/search/concepts/C2036877626-POCLOUD.umm_json	GOES-17 (G17) is the second satellite in the US NOAA's GOES-R series. It was launched on 1 Mar 2018 in an interim position at 89.5-deg W for initial Cal/Val, moved to its nominal position at 137.2-deg W in Nov 2018, and declared NOAA operational GOES-West satellite on 12 Feb 2019. Advanced Baseline Imager (ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, 12.3 um) are suitable for SST. From altitude 35,800km, G17/ABI maps SST in a Full Disk (FD) area from 163E-77W and 60S-60N, with spatial resolution 2km/nadir to 15km/VZA 67-deg, and 10-min temporal sampling. The ABI L2P SST is derived at the native sensor resolution using NOAA ACSPO system. ACSPO processes every 10-min FD, identifies good-quality ocean pixels (Petrenko et al., 2010) and derives SST using Non-Linear SST (NLSST) algorithm (Petrenko et al., 2014). Unfortunately, the G17 ABI loop heat pipe (LHP) that should maintain the ABI at its intended temperature, is not operating at its designed capacity, which required mitigations to the ACSPO algorithms and releasing an updated ACSPO version 2.71 (Pennybacker et al, 2019). In particular, band 11.2um, most subject to calibration problems, is not used leading to a 3-band (8.4, 10.3, and 12.3um) NLSST, and increased calibration problems prevent SST retrievals at night. As a result, the G17 SST is only reported for 13 out of 24hrs/day, from 20UTC to 08UTC. The 10-min FD data are subsequently collated in time, to produce 1-hr product, with improved coverage and reduced cloud leakages and image noise. The collation algorithm also reduces G17 excessive sensor noise and striping to levels similar to G16. The collated SSTs are only reported over clear-sky water pixels. All pixels with valid SSTs are recommended for use. The L2P is reported in NetCDF4 GDS2 format, 13 granules per day, with a total data volume 0.3GB/day. ACSPO files also report sun-sensor geometry, wind speed and l2p_flags (day/night, land, ice, twilight, glint flags). Per GDS2 specifications, two Sensor-Specific Error Statistics (bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script (see Documentation page). The ACSPO G17 ABI SSTs are continuously validated in SQUAM (Dash et al, 2010). A reduced size (0.1GB/day), 0.02-deg equal-angle gridded L3C product is available at https://podaac.jpl.nasa.gov/dataset/ABI_G17-STAR-L3C-v2.71.	proprietary
 ABI_G17-STAR-L3C-v2.71_2.71	GHRSST NOAA/STAR GOES-17 ABI  L3C America Region SST v2.71 dataset in GDS2	POCLOUD STAC Catalog	2019-10-16	2023-01-10	163, -60, -77, 60	https://cmr.earthdata.nasa.gov/search/concepts/C2036877645-POCLOUD.umm_json	The ACSPO G17/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G17/ABI L2P product available at https://podaac.jpl.nasa.gov/dataset/ABI_G17-STAR-L2P-v2.71. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Due to the loop heat pipe (LHP) issue on G17 ABI, there are only 13 granules available per 24hr interval, from 20UTC to 08UTC, followed by a break from 09UTC to 19UTC, with a total data volume of 0.1GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. The following additional layers are also reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://podaac.jpl.nasa.gov/dataset/CMC0.1deg-CMC-L4-GLOB-v3.0 ). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).	proprietary
+ABLE-2A_Aerosol_AircraftInSitu_Electra_Data_1	ABLE-2A Electra In-Situ Aerosol Data	LARC_CLOUD STAC Catalog	1985-07-11	1985-08-15	-76.3, -7.2, -47.48, 37.1	https://cmr.earthdata.nasa.gov/search/concepts/C3165326945-LARC_CLOUD.umm_json	ABLE-2A_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2A_Ground_Data_1	ABLE-2A Ground Data	LARC_CLOUD STAC Catalog	1985-07-11	1985-08-15	-76.3, -7.2, -47.48, 37.1	https://cmr.earthdata.nasa.gov/search/concepts/C3165325881-LARC_CLOUD.umm_json	ABLE-2A_Ground_Data is the ground site data collected during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign.  Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2A_Merge_Data_1	ABLE-2A Merge Data	LARC_CLOUD STAC Catalog	1985-07-11	1985-08-15	-76.3, -7.2, -47.48, 37.1	https://cmr.earthdata.nasa.gov/search/concepts/C3165312896-LARC_CLOUD.umm_json	ABLE-2A_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2A_MetNav_AircraftInSitu_Electra_Data_1	ABLE-2A Electra Meteorological and Navigational Data	LARC_CLOUD STAC Catalog	1985-07-11	1985-08-15	-76.3, -7.2, -47.48, 37.1	https://cmr.earthdata.nasa.gov/search/concepts/C3165179338-LARC_CLOUD.umm_json	ABLE-2A_MetNav_AircraftInSitu_Electra_Data is the in-situ meteorology and navigational data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2A_Sondes_Data_1	ABLE-2A Sondes Data	LARC_CLOUD STAC Catalog	1985-07-11	1985-08-15	-76.3, -7.2, -47.48, 37.1	https://cmr.earthdata.nasa.gov/search/concepts/C3165316389-LARC_CLOUD.umm_json	ABLE-2A_Sondes_Data is the radiosonde and rawinsonde data collected during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2A_TraceGas_AircraftInSitu_Electra_Data_1	ABLE-2A Electra In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1985-07-11	1985-08-15	-76.3, -7.2, -47.48, 37.1	https://cmr.earthdata.nasa.gov/search/concepts/C3165188064-LARC_CLOUD.umm_json	ABLE-2A_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data using chemiluminescence, gas traps, cryogenic air samples, and IR lasers are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2B_Aerosol_AircraftInSitu_Electra_Data_1	ABLE-2B Electra In-Situ Aerosol Data	LARC_CLOUD STAC Catalog	1987-04-01	1987-05-15	-81.47, -84.1, -31.29, 37.54	https://cmr.earthdata.nasa.gov/search/concepts/C3165322297-LARC_CLOUD.umm_json	ABLE-2B_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2B_Ground_Data_1	ABLE-2B Ground Data	LARC_CLOUD STAC Catalog	1987-04-01	1987-05-15	-81.47, -84.1, -31.29, 37.54	https://cmr.earthdata.nasa.gov/search/concepts/C3165322023-LARC_CLOUD.umm_json	ABLE-2B_Ground_Data is the ground data collected during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data using grab samples are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2B_Merge_Data_1	ABLE-2B Merge Data	LARC_CLOUD STAC Catalog	1987-04-01	1987-05-15	-81.47, -84.1, -31.29, 37.54	https://cmr.earthdata.nasa.gov/search/concepts/C3165321623-LARC_CLOUD.umm_json	ABLE-2B_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data using chemiluminescence, gas traps, and grab samples are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2B_MetNav_AircraftInSitu_Electra_Data_1	ABLE-2B Electra Meteorological and Navigational Data	LARC_CLOUD STAC Catalog	1987-04-01	1987-05-15	-81.47, -84.1, -31.29, 37.54	https://cmr.earthdata.nasa.gov/search/concepts/C3165311959-LARC_CLOUD.umm_json	ABLE-2B_MetNav_AircraftInSitu_Electra_Data is the in-situ meteorology and navigational data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2B_Sondes_Data_1	ABLE-2B Sondes Data	LARC_CLOUD STAC Catalog	1987-04-01	1987-05-15	-81.47, -84.1, -31.29, 37.54	https://cmr.earthdata.nasa.gov/search/concepts/C3165321881-LARC_CLOUD.umm_json	ABLE-2B_Sondes_Data is the rawinsonde and tethered balloon data collected  during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-2B_TraceGas_AircraftInSitu_Electra_Data_1	ABLE-2B Electra In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1987-04-01	1987-05-15	-81.47, -84.1, -31.29, 37.54	https://cmr.earthdata.nasa.gov/search/concepts/C3165308094-LARC_CLOUD.umm_json	ABLE-2B_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2B (ABLE-2B) suborbital campaign. Data using chemiluminescence, gas traps, and grab samples are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-May 1987. The goal of ABLE 2 was to better understand the role of tropics in global atmospheric chemistry and investigate processes which might lead to the enhanced concentrations of carbon monoxide (CO) in the tropical upper troposphere. ABLE 2 was a partnership with NASA and the Brazilian agency, Instituto Nacional de Pesquisas Espaciais (INPE), along with the Instituto Nacional de Pesquisas da Amazonia (INPA) providing facilities and logistical information.           To accomplish its objectives, the ABLE 2 science team deployed the NASA Lockheed Electra aircraft, balloons, and free-flying sondes. Flights took place over the Amazon region in Brazil for both sub-campaigns. ABLE 2A consisted of 15 flights while ABLE 2B consisted of 21 flights with the fully equipped Electra. For most ABLE 2A flights, the data collected included in-situ measurements of CO2, CO, MHC, NO (nitric oxide), N2O, O3, DMS (dimethyl sulfide), aerosol composition, and meteorological parameters. ABLE 2B had the Electra instrumented with remote and in-situ techniques for measuring the atmospheric distribution of a variety of carbon, nitrogen, and sulfur gases; aerosol size and composition; and to measure ozone. The typical approach to flights involved high-altitude passes over research areas using the downward facing UV Differential Absorption Lidar (DIAL). The ABLE 2 campaign represents a modest advance in understanding the influence of the tropical rain forest ecosystem on the chemistry of the troposphere. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the ABLE 2A overview paper and the ABLE 2B overview paper. A collection of the publications based on ABLE 2A and 2B observation are available in the Journal of Geophysical Research special issues: Global Tropospheric Experiment/Chemical Instrumentation Test and Evaluation Results (GTE/ABLE 2A) and The Amazon Boundary Layer Experiment 2B. 	proprietary
+ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data_1	ABLE-3A Electra Remotely Sensed Differential Absorption Lidar (DIAL) Data	LARC_CLOUD STAC Catalog	1988-07-07	1988-08-18	-168.402, 37.082, -55.443, 83.332	https://cmr.earthdata.nasa.gov/search/concepts/C3165276566-LARC_CLOUD.umm_json	ABLE-3A_AircraftRemoteSensing_Electra_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3A_Ground_Data_1	ABLE-3A Ground Data	LARC_CLOUD STAC Catalog	1988-07-07	1988-08-18	-168.402, 37.082, -55.443, 83.332	https://cmr.earthdata.nasa.gov/search/concepts/C3165274569-LARC_CLOUD.umm_json	ABLE-3A_Ground_Data is the ground site data collected during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data from the Harvard CO2 instrument and mist chambers are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3A_Merge_Data_1	ABLE-3A Merge Data	LARC_CLOUD STAC Catalog	1988-07-07	1988-08-18	-168.402, 37.082, -55.443, 83.332	https://cmr.earthdata.nasa.gov/search/concepts/C3165320026-LARC_CLOUD.umm_json	ABLE-3A_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3A_MetNav_AircraftInSitu_Electra_Data_1	ABLE-3A Electra Meteorological and Navigational Data	LARC_CLOUD STAC Catalog	1988-07-07	1988-08-18	-168.402, 37.082, -55.443, 83.332	https://cmr.earthdata.nasa.gov/search/concepts/C3165275821-LARC_CLOUD.umm_json	ABLE-3A_MetNav_AircraftInSitu_Electra_Data is the in-situ meteorology and navigational data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3A_TraceGas_AircraftInSitu_Electra_Data_1	ABLE-3A Electra In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1988-07-07	1988-08-18	-168.402, 37.082, -55.443, 83.332	https://cmr.earthdata.nasa.gov/search/concepts/C3165277809-LARC_CLOUD.umm_json	ABLE-3A_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data using grab samples, gas chromatography, and Laser Induced Fluorescence (LIF) are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3A_Trajectory_Data_1	ABLE-3A Trajectory	LARC_CLOUD STAC Catalog	1988-07-07	1988-08-18	-168.402, 37.082, -55.443, 83.332	https://cmr.earthdata.nasa.gov/search/concepts/C3165255582-LARC_CLOUD.umm_json	ABLE-3A_Trajectory_Data is the trajectory data collected during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3B_Aerosol_AircraftInSitu_Electra_Data_1	ABLE-3B Electra In-Situ Aerosol Gas Data	LARC_CLOUD STAC Catalog	1990-06-11	1990-08-18	-106.178, 37.053, -49.4, 63.748	https://cmr.earthdata.nasa.gov/search/concepts/C3165239767-LARC_CLOUD.umm_json	ABLE-3B_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data using mist chambers and teflon filters are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data_1	ABLE-3B Electra Remotely Sensed Differential Absorption Lidar (DIAL) Data	LARC_CLOUD STAC Catalog	1990-06-11	1990-08-18	-106.178, 37.053, -49.4, 63.748	https://cmr.earthdata.nasa.gov/search/concepts/C3165249715-LARC_CLOUD.umm_json	ABLE-3B_AircraftRemoteSensing_Electra_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3B_Ground_Data_1	ABLE-3B Ground Data	LARC_CLOUD STAC Catalog	1990-06-11	1990-08-18	-106.178, 37.053, -49.4, 63.748	https://cmr.earthdata.nasa.gov/search/concepts/C3165206975-LARC_CLOUD.umm_json	ABLE-3B_Ground_Data is the ground site data collected during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data from the High-Altitude Fast-Response CO2 Analyzer (Harvard CO2) instrument are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3B_Merge_Data_1	ABLE-3B Merge Data	LARC_CLOUD STAC Catalog	1990-06-11	1990-08-18	-106.178, 37.053, -49.4, 63.748	https://cmr.earthdata.nasa.gov/search/concepts/C3165206040-LARC_CLOUD.umm_json	ABLE-3B_Merge_Data is the merge data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3B_MetNav_AircraftInSitu_Electra_Data_1	ABLE-3B Electra Meteorological and Navigational Data	LARC_CLOUD STAC Catalog	1990-06-11	1990-08-18	-106.178, 37.053, -49.4, 63.748	https://cmr.earthdata.nasa.gov/search/concepts/C3165245623-LARC_CLOUD.umm_json	ABLE-3B Electra Meteorological and Navigational Data is the in-situ meteorological and navigational data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data from the Turbulent Air Motion Measurement System (TAMMS) instrument are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3B_TraceGas_AircraftInSitu_Electra_Data_1	ABLE-3B Electra In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1990-06-11	1990-08-18	-106.178, 37.053, -49.4, 63.748	https://cmr.earthdata.nasa.gov/search/concepts/C3165251279-LARC_CLOUD.umm_json	ABLE-3B_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data using grab samples, gas chromatography, Laser Induced Fluorescence (LIF), and the Differential Absorption CO, CH4, N2O Measurements (DACOM) instrument are featured in this collection. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
+ABLE-3B_Trajectory_Data_1	ABLE-3B Trajectory Data	LARC_CLOUD STAC Catalog	1990-06-11	1990-08-18	-106.178, 37.053, -49.4, 63.748	https://cmr.earthdata.nasa.gov/search/concepts/C3165201070-LARC_CLOUD.umm_json	ABLE-3B_Trajectory_Data is the trajectory data collected during the Arctic Boundary Layer Expedition - 3B (ABLE-3B) suborbital campaign. Data collection for this product is complete.     From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A and ABLE 3B. ABLE 3A took place in the Arctic and subarctic regions of North America and Greenland, while ABLE 3B took place in the north central and northeastern regions of Canada. ABLE 3 was focused on understanding the “early warning” response of the near-surface, organic, active layer to climate variability with a special emphasis placed on identifying the range of variables which might have a significant influence on the tropospheric O3 budged in the Barrow region. The ABLE 3 campaigns took place in the summer since the summer is critical to an assessment of the full impact of accumulated winter/spring pollutant loadings. Observations in the summer months could also determine if significant long-range transport and injection of pollutants occur. ABLE 3A took place July-August 1988, and ABLE 3B took place July-August 1990.          To accomplish its objectives, the ABLE 3 science team deployed the NASA Lockheed Electra aircraft on both sub-campaigns. With over 50 total flights, ABLE 3 aimed to utilize the Electra aircraft to take measurements of methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), nonmethane hydrocarbons (NMHC), acetic acid (HA), formic acid (HFo), nitric oxide (NO), nitrogen dioxide (NO2), total “reactive” nitrogen gas (NOy), nitric acid (HNO3), peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), ozone (O3), and aerosol chemical composition and size distribution. Onboard the Electra, airborne UV Differential Absorption Lidar (DIAL) provided remotely sense data on the two-dimensional distribution of aerosols and O3. The results of ABLE 3 indicate that atmospheric chemical changes in arctic and subarctic regions may serve as unique early warning indicators of global changes. 	proprietary
 ABLE_897_1	Pre-LBA ABLE-2A and ABLE-2B Expedition Data	ORNL_CLOUD STAC Catalog	1985-07-11	1987-05-13	-70, -10, -50, 0	https://cmr.earthdata.nasa.gov/search/concepts/C2777402194-ORNL_CLOUD.umm_json	The ABLE 2A and 2B (Atmospheric Boundary Layer Experiments) data consists of  estimates of the rate of exchange of a wide variety of aerosols and gases between the Amazon Basin and its atmospheric boundary layer, and the processes by which these aerosols and gases are moved between the boundary layer and the free troposphere. The data are presented in gzipped ASCII text files in Global Tropospheric Experiment (GTE) format.The ABLE-2 project consisted of two expeditions: the first in the Amazonian dry season (ABLE-2A, July-August 1985); and the second in the wet season (ABLE-2B, April-May 1987). The ABLE-2 core research data were gathered by NASA Electra aircraft flights that stretched from Belem, at the mouth of the Amazon River, west to Tabatinga, on the Brazil-Colombia border, from a base at Manaus in the heart of the forest. See Figure 1. These observations were supplemented by ground based chemical and meteorological measurements in the dry forest, the Amazon floodplain, and the tributary rivers through use of enclosures, an instrumented tower in the jungle, a large tethered balloon, and weather and ozone sondes.This study showed air above the Amazon jungle to be extremely clean during the wet season but air quality deteriorated dramatically during the dry season as the result of biomass burning, performed mostly at the edges of the forest. Biomass burning is also a source of greenhouse gases carbon dioxide and methane, as well as other pollutants (carbon monoxide and oxides of nitrogen). Amazonian ozone deposition rates were found to be 5 to 50 times higher than those previously measured over pine forests and water surfaces. The Amazon River floodplain is a globally significant source of methane, supplying about 12% of the estimated worldwide total from all wetlands sources. Over Amazonia, carbon monoxide is enhanced by factors ranging from 1.2 to 2.7 by comparison with adjacent regions due to isoprene oxidation and biomass burning. Over the rainforest individual convective storms transport 200 megatons of air per hour, of which 3 megatons is water vapor that releases 100,000 megawatts of energy into the atmosphere through condensation into rain.The ABLE was a collaboration of U.S. and Brazilian scientists sponsored by NASA and Instituto Nacional de Pesquisas Espaciais (INPE) and supported by the Global Tropospheric Experiment (GTE) component of the NASA Tropospheric Chemistry Program.	proprietary
 ABLVIS1B_1	ABoVE LVIS L1B Geolocated Return Energy Waveforms V001	NSIDC_ECS STAC Catalog	2017-06-29	2017-07-17	-158, 48, -104, 72	https://cmr.earthdata.nasa.gov/search/concepts/C1513105920-NSIDC_ECS.umm_json	This data set contains return energy waveform data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).	proprietary
 ABLVIS2_1	ABoVE LVIS L2 Geolocated Surface Elevation Product V001	NSIDC_ECS STAC Catalog	2017-06-29	2017-07-17	-158, 48, -104, 72	https://cmr.earthdata.nasa.gov/search/concepts/C1513105984-NSIDC_ECS.umm_json	This data set contains surface elevation data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).	proprietary
@@ -1112,7 +1137,6 @@ ABoVE_ASCENDS_Merge_2114_1	ABoVE/ASCENDS: Merged Atmospheric CO2, CH4, and Meteo
 ABoVE_ASCENDS_XCO2_2050_1	ABoVE/ASCENDS: Active Sensing of CO2, CH4, and Water Vapor, Alaska and Canada, 2017	ORNL_CLOUD STAC Catalog	2017-07-20	2017-08-08	-165.68, 34.59, -98.1, 71.28	https://cmr.earthdata.nasa.gov/search/concepts/C2264340976-ORNL_CLOUD.umm_json	This dataset provides in situ airborne measurements of atmospheric carbon dioxide (CO2), methane (CH4), and water vapor concentrations, plus air temperature, pressure, relative humidity, and wind speed values over Alaska and the Yukon and Northwest Territories of Canada during 2017-07-20 to 2017-08-08. Measurements were taken onboard a DC-8 aircraft during this Active Sensing of CO2 Emissions over Nights, Days and Seasons (ASCENDS) airborne deployment over portions of the Arctic-Boreal Vulnerability Experiment (ABoVE) domain. CO2 and CH4 were measured with NASA's Atmospheric Vertical Observations of CO2 in the Earth's Troposphere (AVOCET) instrument. Water vapor and relative humidity were measured with Diode Laser Hydrometer. Measurements of column-averaged dry-air mixing ratio CO2 measurements (XCO2) were taken with the CO2 Sounder Lidar instrument. The airborne CO2 Sounder is a pulsed, multi-wavelength Integrated Path Differential Absorption lidar. It estimates XCO2 in the nadir path from the aircraft to the scattering surface by measuring the shape of the 1572.33 nm CO2 absorption line. The data were collected in order to capture the spatial and temporal dynamics of the northern high latitude carbon cycle as part of ABoVE and are provided in ICARTT file format.	proprietary
 ABoVE_AirSWOT_Radar_Data_1646_1	ABoVE: AirSWOT Ka-band Radar over Surface Waters of Alaska and Canada, 2017	ORNL_CLOUD STAC Catalog	2017-07-08	2017-08-17	-149.83, 46.85, -98.63, 70.49	https://cmr.earthdata.nasa.gov/search/concepts/C2111827036-ORNL_CLOUD.umm_json	AirSWOT is an airborne calibration and validation instrument for the upcoming Surface Water Topography Mission (SWOT) satellite. AirSWOT is capable of producing high resolution digital elevation models over land and water bodies. This dataset provides AirSWOT Ka-band (35.75 GHz) radar data products collected from an airborne platform over parts of Alaska and Canada during the period 2017-07-09 to 2017-08-17. Flights targeted specific surface water features, including rivers, lakes, ponds, and wetlands in the ABoVE domain. The radar data include six products: elevation (above the WGS84 ellipsoid), incidence angle, magnitude (backscatter), interferometric correlation (coherence), DHDPHI (incidence angle dependent height sensitivity), and error (estimated height random error, 1-sigma standard deviation). The flight lines were selected to span a full spectrum of permafrost conditions (permafrost-free to continuous permafrost, low to high ground ice content), ecosystems, climatic regions, topographic relief, and geological substrates across the ABoVE domain to investigate surface water responses to thawing permafrost and spatial and temporal variability in terrestrial water storage by measuring elevation and extent of surface waters. The data are provided in two forms: 1) the original output (outer-swath products only) at 3.6 m2 resolution in UTM coordinates from the AirSWOT processing group at the Jet Propulsion Laboratory (JPL), and 2) the ABoVE Projection at 3.6 m2 resolution, clipped to the ABoVE reference grid tiles using the C grid.	proprietary
 ABoVE_AirSWOT_Water_Mask_1707_1	ABoVE: AirSWOT Water Masks from Color-Infrared Imagery over Alaska and Canada, 2017	ORNL_CLOUD STAC Catalog	2017-07-09	2017-08-17	-152.18, 43.27, -98.64, 76.28	https://cmr.earthdata.nasa.gov/search/concepts/C2143402575-ORNL_CLOUD.umm_json	This dataset provides 1) a conservative open water mask for future water surface elevation (WSE) extraction from the co-registered AirSWOT Ka-band interferometry data, and 2) high-resolution (1 m) water body distribution maps for water bodies greater than 40 m2 along the NASA Arctic-Boreal Vulnerability Experiment (ABoVE) foundational flight lines. The masks and maps were derived from georeferenced three-band orthomosaics generated from individual images collected during the flights and a semi-automated water classification algorithm based on the Normalized Difference Water Index (NDWI). In total, 3,167 km2 of open water were mapped from 23,380 km2 of flight lines spanning 23 degrees of latitude. Detected water body sizes range from 40 m2 to 15 km2. The image tiles were georeferenced using manually selected ground control points (GCPs). Comparison with manually digitized open water boundaries yields an overall open-water classification accuracy of 98.0%.	proprietary
-ABoVE_Airborne_AVIRIS_NG_V2_2009_2	ABoVE: Hyperspectral Imagery AVIRIS-NG, Alaskan and Canadian Arctic, 2017-2019 V2	ORNL_CLOUD STAC Catalog	2017-06-24	2019-08-04	-166.65, 52.16, -103.24, 71.38	https://cmr.earthdata.nasa.gov/search/concepts/C2551345052-ORNL_CLOUD.umm_json	This dataset provides Level 1 radiance and Level 2 surface reflectance measured by the Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument during flights over the Arctic-Boreal Vulnerability Experiment (ABoVE) domain from June to August in 2017 and July to August in 2018 and 2019. AVIRIS-NG measures reflected radiance in 425 bands at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Measurements are radiometrically and geometrically calibrated and provided at approximately 5-meter spatial resolution. The data include 848 flight lines covering areas of interest to the ABoVE campaign over much of Alaska and western Canada. These data will allow researchers to characterize ecosystem structure and function near the height of the growing season. This dataset represents one part of a multi-sensor airborne sampling campaign conducted by eleven different aircraft teams for ABoVE. The L2 reflectance files in this publication were reprocessed with an updated reflectance algorithm and replace Versions 1 of this dataset.  The imagery data are provided in ENVI format along with a RGB composite image for each flight line and shapefiles showing imagery boundaries.	proprietary
 ABoVE_Airborne_AVIRIS_NG_V3_2362_3	ABoVE: AVIRIS-NG Imaging Spectroscopy for Alaska, Canada, and Iceland, 2017-2022, V3	ORNL_CLOUD STAC Catalog	2017-06-24	2022-08-19	-166.65, 52.16, 28.22, 71.38	https://cmr.earthdata.nasa.gov/search/concepts/C3253178409-ORNL_CLOUD.umm_json	This dataset supersedes the previously published ABoVE AVIRIS-NG Level 2 surface reflectance files for 2017-2019 surveys of Alaska and northwestern Canada. It also includes previously unpublished L1 radiance and L2 reflectance for the 2021 surveys in Iceland when COVID-era policies prevented normal ABoVE flights, and the 2022 surveys, which returned to the ABoVE domain. The dataset comprises ~1700 individual flight lines covering ~120,000 km2 with a nominal spatial resolution of 5 m. Sampling includes individual transects to capture key gradients like the tundra-taiga ecotone and raster maps of key study areas like the CHARS Greiner watershed, the Mackenzie Delta, and the Utqiagvik/Point Barrow area. AVIRIS-NG measures reflected radiance in 425 bands at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Measurements were radiometrically and geometrically calibrated. This dataset represents one part of a multi-sensor airborne sampling campaign conducted by eleven different aircraft teams for ABoVE. The imagery data are provided in ENVI format along with a RGB composite image for each flight line and shapefiles showing imagery boundaries.	proprietary
 ABoVE_Annual_Veg_Resilience_2374_1	MODIS-derived Annual Vegetation Resilience, 2000-2019	ORNL_CLOUD STAC Catalog	2000-01-01	2019-12-31	-170.01, 50.26, -98.97, 76.23	https://cmr.earthdata.nasa.gov/search/concepts/C3255176825-ORNL_CLOUD.umm_json	This dataset provides estimates of vegetation resilience in the Arctic Boreal Vulnerability Experiment (ABoVE) core domain at annual time steps for 2000-2019 and at 300-m spatial resolution. Vegetation resilience is defined as the recovery rate from deviations, due to climate perturbations or disturbances, to the equilibrium state. It is quantified as the negative temporal lag-1 autocorrelation of Enhanced Vegetation Index (EVI). Using a time series of MODIS EVI, the vegetation resilience was estimated using a Bayesian dynamic linear model. The mapped vegetation resilience was derived from Terra EVI products (MOD13Q1v061) across 175 ABoVE B grid tiles over the ABoVE core domain. The estimated mean resilience, upper boundary, and lower boundary results are provided for each tile in cloud optimized GeoTIFF (COG) format.	proprietary
 ABoVE_Arctic_CAP_1658_1	ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentrations from Arctic-CAP, 2017	ORNL_CLOUD STAC Catalog	2017-04-26	2017-11-05	-166.04, 40.04, -104.11, 71.29	https://cmr.earthdata.nasa.gov/search/concepts/C2162185379-ORNL_CLOUD.umm_json	This dataset provides in situ airborne measurements of atmospheric carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), and water vapor concentrations, plus air temperature, pressure, relative humidity, and wind speed values over Alaska and the Yukon and Northwest Territories of Canada during the Arctic Carbon Aircraft Profile (Arctic-CAP) monthly sampling campaigns from April-November 2017. Observations have been averaged to a 10-second interval and are reported with the number of samples (N) and standard deviation. During each of the six monthly campaigns, flights over the Arctic-Boreal Vulnerability Experiment (ABoVE) domain included 25 vertical profiles, from the surface up to 6 km altitude, at locations selected to complement regular long-term vertical profiles, remote sensing data, and ground-based flux tower measurements.	proprietary
@@ -1179,7 +1203,9 @@ ACOS_L2S_7.3	ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V7.3 (AC
 ACOS_L2S_9r	ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V9r (ACOS_L2S) at GES DISC	GES_DISC STAC Catalog	2009-04-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633158704-GES_DISC.umm_json	"Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r.  This data set is currently provided by the OCO (Orbiting Carbon Observatory) Project. In expectation of the OCO-2 launch, the algorithm was developed by the Atmospheric CO2 Observations from Space (ACOS) Task as a preparatory project, using GOSAT TANSO-FTS spectra. After the OCO-2 launch,  ""ACOS"" data are still produced and improved, using approaches applied to the OCO-2 spectra.  The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances, and algorithm build version 7.3.  The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process.  Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings.   Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation.   An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag.   Lastly, users should continue to carefully observe and weigh information from three important flags:          ""sounding_qual_flag"" - quality of input data provided to the retrieval processing            ""outcome_flag"" - retrieval quality based upon certain internal thresholds (not thoroughly evaluated)              "	proprietary
 ACOS_L2_Lite_FP_7.3	ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V7.3 (ACOS_L2_Lite_FP) at GES DISC	GES_DISC STAC Catalog	2009-04-21		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1339230298-GES_DISC.umm_json	"The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input.   The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances.  The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process."	proprietary
 ACOS_L2_Lite_FP_9r	ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V9r (ACOS_L2_Lite_FP) at GES DISC	GES_DISC STAC Catalog	2009-04-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1720416694-GES_DISC.umm_json	"Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input.   The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances.  The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process."	proprietary
+ACR3L2DM_1	ACRIM III Level 2 Daily Mean Data V001	LARC_CLOUD STAC Catalog	2000-04-05	2013-11-09	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215629739-LARC_CLOUD.umm_json	ACR3L2DM_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Daily Mean Data version 1 product consists of Level 2 total solar irradiance in the form of daily means gathered by the ACRIM III instrument on the ACRIMSAT satellite. The daily means are constructed from the shutter cycle results for each day.	proprietary
 ACR3L2DM_1	ACRIM III Level 2 Daily Mean Data V001	LARC STAC Catalog	2000-04-05	2013-11-09	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031504-LARC.umm_json	ACR3L2DM_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Daily Mean Data version 1 product consists of Level 2 total solar irradiance in the form of daily means gathered by the ACRIM III instrument on the ACRIMSAT satellite. The daily means are constructed from the shutter cycle results for each day.	proprietary
+ACR3L2SC_1	ACRIM III Level 2 Shutter Cycle Data V001	LARC_CLOUD STAC Catalog	2000-04-05	2013-11-09	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215629747-LARC_CLOUD.umm_json	ACR3L2SC_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Shutter Cycle Data version 1 product contains Level 2 total solar irradiance in the form of shutter cycles gathered by the ACRIM instrument on the ACRIMSAT satellite.	proprietary
 ACR3L2SC_1	ACRIM III Level 2 Shutter Cycle Data V001	LARC STAC Catalog	2000-04-05	2013-11-09	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C61787524-LARC.umm_json	ACR3L2SC_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Shutter Cycle Data version 1 product contains Level 2 total solar irradiance in the form of shutter cycles gathered by the ACRIM instrument on the ACRIMSAT satellite.	proprietary
 ACRIMII_TSI_UARS_NAT_1	Active Cavity Radiometer Irradiance Monitor (ACRIM) II Total Solar Irradiance (TSI) aboard UARS in Native format	LARC_ASDC STAC Catalog	1991-10-04	2001-11-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000700-LARC_ASDC.umm_json	ACRIMII_TSI_UARS_NAT data are Active Cavity Radiometer Irradiance Monitor II (ACRIM II) Total Solar Irradiance (TSI) aboard the Upper Atmosphere Research Satellite (UARS) Data in Native (NAT) format. The ACRIMII_TSI_UARS_NAT data product consists of the Level 2 total solar irradiance in the form of daily means gathered by the ACRIM II instrument on the UARS satellite. The daily means are constructed from the shutter cycle results for each day. This data set is considered Version 2.	proprietary
 ACTAMERICA-PICARRO_Ground_1568_1.1	ACT-America: L2 In Situ CO2, CO, and CH4 Concentrations from Towers, Eastern USA	ORNL_CLOUD STAC Catalog	2015-01-01	2017-12-31	-98.59, 30.2, -76.42, 44.05	https://cmr.earthdata.nasa.gov/search/concepts/C2706398349-ORNL_CLOUD.umm_json	This dataset provides atmospheric carbon dioxide (CO2), carbon monoxide (CO), and methane (CH4) concentrations as measured on a network of instrumented communications towers operated by the Atmospheric Carbon and Transport-America (ACT-America) project. ACT-America's mission spans five years and includes five 6-week intensive field campaigns covering all 4 seasons and 3 regions of the central and eastern United States. Tower-based measurements began in early 2015 and are continuously collecting CO2, CO, and CH4 data to characterize ground-level (>100 m) carbon background conditions to support the periodic airborne measurement campaigns and transport modeling conducted by ACT-America. The towers are instrumented with infrared cavity ring-down spectrometer systems (CRDS; Picarro Inc.). Data are reported for the highest sampling port on each tower. The averaging interval standard deviation and uncertainty derived from periodic flask sample to in-situ measurement comparisons are provided. Complete tower location, elevation, instrument height, and date/time information are also provided.	proprietary
@@ -1475,8 +1501,8 @@ AERDT_L2_VIIRS_NOAA20_NRT_2	VIIRS/NOAA-20 Dark Target Aerosol L2 6-Min Swath (v2
 AERDT_L2_VIIRS_SNPP_2	VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath 6 km V2	LAADS STAC Catalog	2012-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2771506686-LAADS.umm_json	The VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath 6 km product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally.  The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) incarnation of the dark target (DT) aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission&#8217;s MODIS instruments.  Two separate and distinct DT algorithms exist.  One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible).    This orbit-level product (Short-name: AERDT_L2_VIIRS_SNPP) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor's scanning geometry and Earth's curvature. Viewed differently, this product's resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. Hence, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute acquisition. Version 2.0 constitutes the latest collection of the L2 Dark Target Aerosol product and contains improvements over its previous collection (v1.1).    For more information consult LAADS product description page at:    https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/AERDT_L2_VIIRS_SNPP    Or, Dark Target aerosol team Page at:   https://darktarget.gsfc.nasa.gov/	proprietary
 AERDT_L2_VIIRS_SNPP_NRT_1.1	VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath	ASIPS STAC Catalog	2020-06-09		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1976333380-ASIPS.umm_json	The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission’s MODIS instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible).	proprietary
 AERDT_L2_VIIRS_SNPP_NRT_2	VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath (v2.0)	ASIPS STAC Catalog	2023-11-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2812412751-ASIPS.umm_json	The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission’s MODIS instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible).    This orbit-level product (Short-name: AERDT_L2_VIIRS_SNPP_NRT) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor's scanning geometry and Earth's curvature. Viewed differently, this product's resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. Hence, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute acquisition. Version 2.0 constitutes the latest collection of the L2 Dark Target Aerosol product and contains improvements over its previous collection (v1.1).	proprietary
-AERIALDIGI_Not provided	Aircraft Scanners - AERIALDIGI	CEOS_EXTRA STAC Catalog	1987-10-06		-180, 24, -60, 72	https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json	The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.	proprietary
 AERIALDIGI_Not provided	Aircraft Scanners	USGS_LTA STAC Catalog	1987-10-06		-180, 24, -60, 72	https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json	The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.	proprietary
+AERIALDIGI_Not provided	Aircraft Scanners - AERIALDIGI	CEOS_EXTRA STAC Catalog	1987-10-06		-180, 24, -60, 72	https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json	The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.	proprietary
 AERONET_aerosol_706_1	SAFARI 2000 AERONET Ground-based Aerosol Data, Dry Season 2000	ORNL_CLOUD STAC Catalog	1999-01-01	2001-12-31	28.03, -26.19, 28.03, -26.19	https://cmr.earthdata.nasa.gov/search/concepts/C2788355135-ORNL_CLOUD.umm_json	AERONET (AErosol RObotic NETwork) is an optical ground-based aerosol monitoring network and data archive system. AERONET measurements of the column-integrated aerosol optical properties in the southern Africa region were made by sun-sky radiometers at several sites in August-September 2000 as a part of the SAFARI 2000 dry season aircraft campaign. AERONET is supported by NASA's Earth Observing System and expanded by federation with many non-NASA institutions. The network hardware consists of identical automatic sun-sky scanning spectral radiometers owned by national agencies and universities. Data from this collaboration provides globally-distributed near-real-time observations of aerosol spectral optical depths, aerosol size distributions, and precipitable water in diverse aerosol regimes.	proprietary
 AEROSE_0	Saharan Dust AERosols and Ocean Science Expeditions	OB_DAAC STAC Catalog	2004-03-02	2017-04-01	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2108358203-OB_DAAC.umm_json	AEROSE is an internationally recognized series of trans-Atlantic field campaigns conducted onboard the NOAA Ship Ronald H. Brown designed to explore African air mass outflows and their impacts on climate, weather, and environmental health.	proprietary
 AE_5DSno_2	AMSR-E/Aqua 5-Day L3 Global Snow Water Equivalent EASE-Grids V002	NSIDC_ECS STAC Catalog	2002-06-20	2011-10-03	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179014698-NSIDC_ECS.umm_json	These Level-3 Snow Water Equivalent (SWE) data sets contain SWE data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids).	proprietary
@@ -1677,6 +1703,14 @@ ALT_GPR_Barrow_1355_1	Pre-ABoVE: Active Layer Thickness and Soil Water Content,
 ALT_Maps_AK_CA_2332_1	ABoVE: Upscaled Active Layer Thickness in Northern Alaska, 2014-2017	ORNL_CLOUD STAC Catalog	2014-01-01	2017-12-31	-171.8, 59.35, -133.05, 74.72	https://cmr.earthdata.nasa.gov/search/concepts/C2953829614-ORNL_CLOUD.umm_json	The dataset consists of maps of estimated Active Layer Thickness (ALT) at 30-m resolution throughout the northern half of Alaska for the years 2014, 2015, and 2017. The maps were generated by using a machine learning-based regression and a set of spatial data layers to upscale ALT from narrow swaths of ALT that were retrieved from airborne high-resolution P-band Polarimetric Synthetic Aperture Radar (PolSAR) imagery. The data are provided in cloud-optimized GeoTIFF format.	proprietary
 ALT_TIDE_GAUGE_L4_OST_SLA_US_WEST_COAST_1	Gridded Altimeter Fields with Enhanced Coastal Coverage	POCLOUD STAC Catalog	1992-10-14	2012-04-18	-111.5, 35.25, -132.25, 48.5	https://cmr.earthdata.nasa.gov/search/concepts/C2205120784-POCLOUD.umm_json	The Gridded Altimeter Fields with Enhanced Coastal Coverage data product contains Sea Surface Height Anomalies (SSHA or SLA) and zonal and meridional geostrophic velocities for the US west coast encompassing 35.25 deg-48.5 deg N latitude and 227.75 deg-248.5 deg E longitude.  This annually updated data product extends from October 14, 1992 through November 4, 2009.  SSHA and current velocities are derived from the AVISO quarter degree DT UPD MSLA version 3.0 grids, 0.75 deg and greater away from the coast.  Values within 0.75 deg of the coast are derived from tide gauge observations and interpolated out to the altimeter filled region.  Details on how these data are derived can be found in: Saraceno, M., P. T. Strub, and P. M. Kosro (2008), Estimates of sea surface height and near-surface alongshore coastal currents from combinations of altimeters and tide gauges, J. Geophys. Res., 113, C11013, doi:10.1029/2008JC004756.	proprietary
 ALT_TIDE_GAUGE_L4_OST_SLA_US_WEST_COAST_DAILY_1	Gridded Altimeter Fields with Enhanced Coastal Coverage Daily	POCLOUD STAC Catalog	1992-10-14	2011-01-19	-133, 35, -111, 49	https://cmr.earthdata.nasa.gov/search/concepts/C2036882016-POCLOUD.umm_json	The Gridded Altimeter Fields with Enhanced Coastal Coverage data product contains Sea Surface Height Anomalies (SSHA or SLA) and zonal and meridional geostrophic velocities for the US west coast encompassing 35.25 deg-48.5 deg N latitude and 227.75 deg-248.5 deg E longitude.  This annually updated data product extends from October 14, 1992 through January 19, 2011.  SSHA and current velocities are derived from the AVISO quarter degree DT UPD MSLA version 3.0 grids, 0.75 deg and greater away from the coast.  Values within 0.75 deg of the coast are derived from tide gauge observations and interpolated out to the altimeter filled region.  Details on how these data are derived can be found in: Saraceno, M., P. T. Strub, and P. M. Kosro (2008), Estimates of sea surface height and near-surface alongshore coastal currents from combinations of altimeters and tide gauges, J. Geophys. Res., 113, C11013, doi:10.1029/2008JC004756.	proprietary
+AM1ANC_001	MISR EDOS Non-orderable AM1ANC	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862778781-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+AM1ATTF_001	MISR TADS Non-orderable	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2843684614-LARC_CLOUD.umm_json	MISR TADS Non-orderable collection for ingest testing.	proprietary
+AM1ATTH0_001	MISR AM1ATTH0 S4PM Non-orderable	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2937950962-LARC_CLOUD.umm_json	MISR AM1ATTH0 S4PM Non-orderable	proprietary
+AM1ATTHF_001	MISR AM1ATTHF S4PM Non-orderable	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2937950980-LARC_CLOUD.umm_json	MISR AM1ATTHF S4PM Non-orderable	proprietary
+AM1ATTN0_001	MISR AM1ATTN0 S4PM Non-orderable	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2937950944-LARC_CLOUD.umm_json	MISR AM1ATTN0 S4PM Non-orderable	proprietary
+AM1ATTNF_001	Preprocessed AM-1 Platform Attitude Data from FDD in Native format. V001	LARC_CLOUD STAC Catalog	1997-07-31		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873768036-LARC_CLOUD.umm_json	This collection consists of AM-1 Platform Attitude Data that has been pre-processed by ECS to an internal standard supported by the ECS SDP Toolkit; the attitude data source is FDD analysis.	proprietary
+AM1EPHH0_001	MISR AM1EPHH0 S4PM Non-orderable	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2937950967-LARC_CLOUD.umm_json	MISR AM1EPHH0 S4PM Non-orderable	proprietary
+AM1EPHN0_001	Preprocessed AM-1 Platform Ephemeris Data from L0 in Native format. V001	LARC_CLOUD STAC Catalog	1997-07-31		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873768143-LARC_CLOUD.umm_json	This collection consists of AM-1 Platform Ephemeris Data that has been pre-processed by ECS to an internal standard supported by the ECS SDP Toolkit; the ephemeris data source is AM-1 measurements.	proprietary
 AM1EPHNE_6.1NRT	Files containing only extrapolated orbital metadata, to be read via SDP Toolkit, Binary Format	LANCEMODIS STAC Catalog	2016-01-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1426293893-LANCEMODIS.umm_json	AM1EPHNE is the Terra Near Real Time (NRT) 2-hour spacecraft Extrapolated ephemeris data file in native format. The file name format is the following: AM1EPHNE.Ayyyyddd.hhmm.vvv.yyyydddhhmmss where from left to right:  E = Extrapolated; N = Native format; A = AM1 (Terra); yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID; yyyy = production year, ddd = Julian production day, hh = production hour, mm = production minute, and ss = production second. Data set information: http://modis.gsfc.nasa.gov/sci_team/	proprietary
 AMAZE-08_1308_1	AMAZE-08 Aerosol Characterization and Meteorological Data, Central Amazon Basin: 2008	ORNL_CLOUD STAC Catalog	2008-02-05	2008-04-21	-60.37, -2.76, -60.03, -2.43	https://cmr.earthdata.nasa.gov/search/concepts/C2773255819-ORNL_CLOUD.umm_json	This data set provides measurements from the Amazonian Aerosol Characterization Experiment (AMAZE-08) carried out during the wet season from February 4 to March 21, 2008 in the central Amazon Basin. Aerosol and atmospheric samples and measurements were collected at Tower TT34 located 60 km NNW of downtown Manaus, and at Tower K34, located 1.6 km from the TT34 site. Physical characterization of aerosols included size, mass, and number distributions and light scattering properties. Chemical characterization included mass concentrations of organics, major anions and cations, and trace metals. Aerosol sources were estimated with measurements of black carbon and biogenic particles. Meteorological and atmospheric conditions including relative humidity, temperature, wind speed and direction, rain, photosynthetically active radiation (PAR), downward and upward solar irradiance, and condensation nuclei were measured. Atmospheric trace gases and volatile organic compounds (VOCs) were sampled and analyzed.	proprietary
 AMDBLWV_1	AMSR-MODIS Boundary Layer Water Vapor L3 Daily 1 degree x 1 degree V1 (AMDBLWV) at GES DISC	GES_DISC STAC Catalog	2002-07-04	2016-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1382049816-GES_DISC.umm_json	This data set provides an estimate the marine boundary layer water vapor beneath uniform cloud fields. Microwave radiometry from AMSR-E and AMSR-2 provides the total column water vapor, while the near-infrared imagery from MODIS provides the water vapor above the cloud layers. The difference between the two gives the vapor between the surface and the cloud top, which may be interpreted as the boundary layer water vapor.	proprietary
@@ -1925,25 +1959,45 @@ ARB_48_IN_LIDAR_1	Aerosol Research Branch (ARB) 48 inch Lidar Data	LARC_ASDC STA
 ARB_California_Air_Quality_Data_Not provided	Air Quality Data (1980-1999) from the California Air Resources Board	SCIOPS STAC Catalog	1970-01-01		-124.9, 32.02, -113.61, 42.51	https://cmr.earthdata.nasa.gov/search/concepts/C1214610880-SCIOPS.umm_json	"The California Air Resources Board has available two CD-ROMs (CDs) with 20       years of air quality data. Both CDs contain essentially the same air quality       data, but provide these data in different formats. The CDs contain 20 years       of Criteria Pollutant air quality data (1980-1999), 10 years of Toxics air       quality data (1990-1999), 12 years of dichotomous sampler (Dichot) data       (1988-1999), and 6 years of non-methane organic compound (NMOC) data       (1994-1999). These CDs are updates to the air quality data CDs released       before 2001. One of the many new additions to the new CDs is a hyperlinked       version of supporting documents.              The first CD contains data that are displayed graphically using Voyager (a       program contained on the CD, which displays data on maps and as time series       graphs). This CD also includes annual data summaries in table format, which       can be viewed using selection buttons and pull-down menus. Graphing templates       are available for plotting the annual data trends. The CD runs under       Windows 3.1 and higher. Request CD Number: PTSD-00-013-CD              The second CD contains the same data content as the first CD, but stores the       data in other forms (ASCII, DBF, etc.) used by analysts who process their own       data. This CD also includes annual and daily summaries in table format, which       are accessible through selection buttons and pull-down menus. Graphing       templates are available for plotting the annual data trends. Request CD       Number:       PTSD-00-014-CD              There was not enough space to carry complete hourly data for all the years.       Consequently, the hourly data for the earliest years have been made available       for downloading from the internet:              Voyager hourly files 1980-1989       ASCII hourly files 1980-1989       ""http://www.arb.ca.gov/aqd/aqdcd/aqdcddld.htm"""	proprietary
 ARC02_0	Measurements in the Arctic region north of Alaska in 2002	OB_DAAC STAC Catalog	2002-05-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360110-OB_DAAC.umm_json	Measurements from the Chukchi and Beaufort sea in the Arctic region north of Alaska in 2002.	proprietary
 ARCTAS_AerosolTraceGas_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Aerosol Trace Gas Data	LARC_ASDC STAC Catalog	2008-03-18	2008-07-14	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2569836780-LARC_ASDC.umm_json	ARCTAS_AerosolTraceGas_AircraftInSitu_DC8_Data is the in-situ aerosol trace gas data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by ion chromatographs, gamma ray spectrometers, and alpha-spectrometers. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_AerosolTraceGas_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Aerosol Trace Gas Data	LARC_CLOUD STAC Catalog	2008-03-18	2008-07-14	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971270-LARC_CLOUD.umm_json	ARCTAS_AerosolTraceGas_AircraftInSitu_DC8_Data is the in-situ aerosol trace gas data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by ion chromatographs, gamma ray spectrometers, and alpha-spectrometers. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Aerosol_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Aerosol Data	LARC_CLOUD STAC Catalog	2008-03-16	2008-07-15	179.9467, 32, -36.5, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971228-LARC_CLOUD.umm_json	ARCTAS_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from the APS, SMPS, CPC, Nephelometer, UHSAS, AMS, SP2, CCN Counter, PILS/IC and PILS/WSOC are featured in this product. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Aerosol_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Aerosol Data	LARC_ASDC STAC Catalog	2008-03-16	2008-07-15	179.9467, 32, -36.5, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2569836369-LARC_ASDC.umm_json	ARCTAS_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from the APS, SMPS, CPC, Nephelometer, UHSAS, AMS, SP2, CCN Counter, PILS/IC and PILS/WSOC are featured in this product. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Aerosol_AircraftInSitu_P3B_Data_1	ARCTAS P-3B Aircraft Aerosol In-situ Data	LARC_ASDC STAC Catalog	2008-03-25	2008-07-13	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C2449573883-LARC_ASDC.umm_json	ARCTAS_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected by the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the Particle Soot Absorption Photometer (PSAP), Aerodynamic Particle Sizer (APS), Condensation Particle Counter (CPC), Single Particle Soot Photometer (SP2), Differential Mobility Analyzer (DMA), Long Differential Mobility Analyzer (LDMA), Tandem Differential Mobility Analyzer (TDMA), Optical Particle Counter (OPC), and the Aerosol Mass Spectrometer (AMS). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Aerosol_AircraftInSitu_P3B_Data_1	ARCTAS P-3B Aircraft Aerosol In-situ Data	LARC_CLOUD STAC Catalog	2008-03-25	2008-07-13	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C3228971243-LARC_CLOUD.umm_json	ARCTAS_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected by the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the Particle Soot Absorption Photometer (PSAP), Aerodynamic Particle Sizer (APS), Condensation Particle Counter (CPC), Single Particle Soot Photometer (SP2), Differential Mobility Analyzer (DMA), Long Differential Mobility Analyzer (LDMA), Tandem Differential Mobility Analyzer (TDMA), Optical Particle Counter (OPC), and the Aerosol Mass Spectrometer (AMS). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_AircraftRemoteSensing_BE200_HSRL_Data_1	ARCTAS BE-200 Aircraft HSRL Data	LARC_ASDC STAC Catalog	2008-03-30	2008-07-14	-168, 36.5, -76.5, 76	https://cmr.earthdata.nasa.gov/search/concepts/C2449574183-LARC_ASDC.umm_json	ARCTAS_AircraftRemoteSensing_BE200_HSRL_Data contains data collected by the High Spectral Resolution Lidar (HSRL) onboard the BE-200 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_AircraftRemoteSensing_BE200_HSRL_Data_1	ARCTAS BE-200 Aircraft HSRL Data	LARC_CLOUD STAC Catalog	2008-03-30	2008-07-14	-168, 36.5, -76.5, 76	https://cmr.earthdata.nasa.gov/search/concepts/C3228971310-LARC_CLOUD.umm_json	ARCTAS_AircraftRemoteSensing_BE200_HSRL_Data contains data collected by the High Spectral Resolution Lidar (HSRL) onboard the BE-200 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_AircraftRemoteSensing_DC8_DIAL_Data_1	ARCTAS Differential Absorption Lidar (DIAL) Remotely Sensed Data	LARC_CLOUD STAC Catalog	2008-03-31	2008-07-15	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971224-LARC_CLOUD.umm_json	The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_AircraftRemoteSensing_DC8_DIAL_Data_1	ARCTAS Differential Absorption Lidar (DIAL) Remotely Sensed Data	LARC_ASDC STAC Catalog	2008-03-31	2008-07-15	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2449574144-LARC_ASDC.umm_json	The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_AircraftRemoteSensing_P3B_AATS14_Data_1	ARCTAS P-3B Aircraft AATS14 Data	LARC_ASDC STAC Catalog	2008-03-25	2008-07-13	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C2449573961-LARC_ASDC.umm_json	ARCTAS_AircraftRemoteSensing_P3B_AATS14_Data contains remotely sensed data collected via the Ames 14-Channel Airborne Tracking Sunphotometer (AATS14) onboard the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_AircraftRemoteSensing_P3B_AATS14_Data_1	ARCTAS P-3B Aircraft AATS14 Data	LARC_CLOUD STAC Catalog	2008-03-25	2008-07-13	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C3228971279-LARC_CLOUD.umm_json	ARCTAS_AircraftRemoteSensing_P3B_AATS14_Data contains remotely sensed data collected via the Ames 14-Channel Airborne Tracking Sunphotometer (AATS14) onboard the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_AircraftRemoteSensing_P3B_CAR_Data_1	ARCTAS P-3B Aircraft CAR Data	LARC_ASDC STAC Catalog	2008-03-25	2008-07-13	-164, 32, -46.5, 81	https://cmr.earthdata.nasa.gov/search/concepts/C2449574114-LARC_ASDC.umm_json	ARCTAS_AircraftRemoteSensing_P3B_CAR_Data contains remotely sensed data collected via the Cloud Absorption Radiometer (CAR) onboard the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_AircraftRemoteSensing_P3B_CAR_Data_1	ARCTAS P-3B Aircraft CAR Data	LARC_CLOUD STAC Catalog	2008-03-25	2008-07-13	-164, 32, -46.5, 81	https://cmr.earthdata.nasa.gov/search/concepts/C3228971208-LARC_CLOUD.umm_json	ARCTAS_AircraftRemoteSensing_P3B_CAR_Data contains remotely sensed data collected via the Cloud Absorption Radiometer (CAR) onboard the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Cloud_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Cloud Data	LARC_CLOUD STAC Catalog	2008-03-16	2008-07-15	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228970878-LARC_CLOUD.umm_json	ARCTAS_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from the CAPS instrument is featured in this data product and data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Cloud_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Cloud Data	LARC_ASDC STAC Catalog	2008-03-16	2008-07-15	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2569836635-LARC_ASDC.umm_json	ARCTAS_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from the CAPS instrument is featured in this data product and data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Ground_Data_1	ARCTAS Ground Site Data	LARC_CLOUD STAC Catalog	2008-03-05	2008-05-01	-169.5, 32, -36.5, 86	https://cmr.earthdata.nasa.gov/search/concepts/C3228971137-LARC_CLOUD.umm_json	ARCTAS_Ground_Data is the ground site data collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. The ground site was located at Barrow, Alaska. This data product features BrO measured by the MAX-DOAS method and data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Ground_Data_1	ARCTAS Ground Site Data	LARC_ASDC STAC Catalog	2008-03-05	2008-05-01	-169.5, 32, -36.5, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2449573738-LARC_ASDC.umm_json	ARCTAS_Ground_Data is the ground site data collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. The ground site was located at Barrow, Alaska. This data product features BrO measured by the MAX-DOAS method and data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_JValue_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Photolysis Rate Data	LARC_CLOUD STAC Catalog	2008-03-17	2008-07-14	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971380-LARC_CLOUD.umm_json	ARCTAS_JValue_AircraftInSitu_DC8_Data is the in-situ photolysis rate data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the CCD-based Actinic Flux Spectroradiometer (CAFS). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_JValue_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Photolysis Rate Data	LARC_ASDC STAC Catalog	2008-03-17	2008-07-14	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2569836771-LARC_ASDC.umm_json	ARCTAS_JValue_AircraftInSitu_DC8_Data is the in-situ photolysis rate data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the CCD-based Actinic Flux Spectroradiometer (CAFS). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Merge_DC8-Aircraft_Data_1	ARCTAS DC-8 Aircraft Merge Data	LARC_ASDC STAC Catalog	2008-03-30	2008-07-15	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2449574048-LARC_ASDC.umm_json	ARCTAS_Merge_DC8_Aircraft_Data is the pre-generated merge files created from a variety of in-situ instrumentation collecting measurements onboard the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Merge_DC8-Aircraft_Data_1	ARCTAS DC-8 Aircraft Merge Data	LARC_CLOUD STAC Catalog	2008-03-30	2008-07-15	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971525-LARC_CLOUD.umm_json	ARCTAS_Merge_DC8_Aircraft_Data is the pre-generated merge files created from a variety of in-situ instrumentation collecting measurements onboard the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Merge_P3B-Aircraft_Data_1	ARCTAS P-3B Aircraft Merge Data	LARC_CLOUD STAC Catalog	2008-03-31	2008-07-13	-167, 32, -60, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971226-LARC_CLOUD.umm_json	ARCTAS_Merge_P3B-Aircraft_Data contains pre-generated merge data files for the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Merge_P3B-Aircraft_Data_1	ARCTAS P-3B Aircraft Merge Data	LARC_ASDC STAC Catalog	2008-03-31	2008-07-13	-167, 32, -60, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2449574014-LARC_ASDC.umm_json	ARCTAS_Merge_P3B-Aircraft_Data contains pre-generated merge data files for the P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_MetNav_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Meteorological and Navigational Data	LARC_ASDC STAC Catalog	2008-03-16	2008-07-15	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2569836494-LARC_ASDC.umm_json	ARCTAS_MetNav_AircraftInSitu_DC8_Data is the in-situ meteorological and navigational data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Also featured in this product is water vapor data from the DLH. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_MetNav_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Meteorological and Navigational Data	LARC_CLOUD STAC Catalog	2008-03-16	2008-07-15	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971290-LARC_CLOUD.umm_json	ARCTAS_MetNav_AircraftInSitu_DC8_Data is the in-situ meteorological and navigational data for the DC-8 aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Also featured in this product is water vapor data from the DLH. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_MetNav_AircraftInSitu_P3B_Data_1	ARCTAS P-3B Aircraft In-situ Meteorological and Navigational Data	LARC_ASDC STAC Catalog	2008-03-23	2008-07-14	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C2449574080-LARC_ASDC.umm_json	ARCTAS_MetNav_AircraftInSitu_P3B_Data is the in-situ meteorological and navigational data for the P-3B aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_MetNav_AircraftInSitu_P3B_Data_1	ARCTAS P-3B Aircraft In-situ Meteorological and Navigational Data	LARC_CLOUD STAC Catalog	2008-03-23	2008-07-14	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C3228971222-LARC_CLOUD.umm_json	ARCTAS_MetNav_AircraftInSitu_P3B_Data is the in-situ meteorological and navigational data for the P-3B aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Model_Data_1	ARCTAS Model Data	LARC_ASDC STAC Catalog	2008-03-30	2008-07-14	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2449573694-LARC_ASDC.umm_json	ARCTAS_Model_Data contains modeled chemical and aerosol data along the flight tracks of the DC-8 and P-3B aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Models used include the GEOS-5, GEOS-Chem, STEM Model Forecasts, MOZART-4, and CMAQ models. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Ozonesondes_Data_1	ARCTAS Ozonesondes Data	LARC_ASDC STAC Catalog	2008-04-01	2008-07-13	158, 39.5, -157, 80.5	https://cmr.earthdata.nasa.gov/search/concepts/C2552979683-LARC_ASDC.umm_json	ARCTAS_Ozonesondes_Data contains data collected via ozonesonde launches during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Ozonesondes_Data_1	ARCTAS Ozonesondes Data	LARC_CLOUD STAC Catalog	2008-04-01	2008-07-13	158, 39.5, -157, 80.5	https://cmr.earthdata.nasa.gov/search/concepts/C3228971149-LARC_CLOUD.umm_json	ARCTAS_Ozonesondes_Data contains data collected via ozonesonde launches during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Radiation_AircraftInSitu_P3B_Data_1	ARCTAS P-3B Aircraft Radiation In-situ Data	LARC_ASDC STAC Catalog	2008-03-29	2008-07-12	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C2449573847-LARC_ASDC.umm_json	ARCTAS_AircraftInSitu_Radiation_P3B_Data is the in-situ radiation data collected onboard the P-3B aircraft as part of the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) sub-orbital campaign. Data in this product were collected via the Broadband Radiometer (BBR) and Solar Spectral Flux Radiometer (SSFR). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Radiation_AircraftInSitu_P3B_Data_1	ARCTAS P-3B Aircraft Radiation In-situ Data	LARC_CLOUD STAC Catalog	2008-03-29	2008-07-12	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C3228971549-LARC_CLOUD.umm_json	ARCTAS_AircraftInSitu_Radiation_P3B_Data is the in-situ radiation data collected onboard the P-3B aircraft as part of the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) sub-orbital campaign. Data in this product were collected via the Broadband Radiometer (BBR) and Solar Spectral Flux Radiometer (SSFR). Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Satellite_Data_1	ARCTAS Supplementary Satellite Data Products	LARC_CLOUD STAC Catalog	2008-03-01	2008-07-31	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971242-LARC_CLOUD.umm_json	ARCTAS_Satellite_Data is the supplementary satellite data for the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from TES, MOPITT and OMI are featured in this data product and data collection is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Satellite_Data_1	ARCTAS Supplementary Satellite Data Products	LARC_ASDC STAC Catalog	2008-03-01	2008-07-31	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2449529636-LARC_ASDC.umm_json	ARCTAS_Satellite_Data is the supplementary satellite data for the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from TES, MOPITT and OMI are featured in this data product and data collection is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_TraceGas_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Trace Gas Data	LARC_CLOUD STAC Catalog	2008-03-18	2008-07-14	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971091-LARC_CLOUD.umm_json	ARCTAS_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the Trace Organic Gas Analyzer (TOGA), Airborne Tropospheric Hydroxides Sensor (ATHOS), HOx Chemical Ionization Mass Spectrometer (HOxCIMS), Thermal Dissociation - Laser Induced Fluorescence (TD-LIF), Differential Absorption of CO, CH4, N2) Measurements (DACOM), Differential Absorption Lider (DIAL), Chemical Ionization Mass Spectrometer (CIMS), Non-dispersive Infrared Gas Analyzer (NDIR Gas Analyzer), NCAR NOxyO3, and the Proton Transfer Reaction Mass Spectrometer (PTR-MS). Data was also collected by gas chromatography and fluorescence spectroscopy. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_TraceGas_AircraftInSitu_DC8_Data_1	ARCTAS DC-8 Aircraft In-situ Trace Gas Data	LARC_ASDC STAC Catalog	2008-03-18	2008-07-14	180, 32, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2569836775-LARC_ASDC.umm_json	ARCTAS_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected by the DC-8 aircraft during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites (ARCTAS) mission. Data was collected by the Trace Organic Gas Analyzer (TOGA), Airborne Tropospheric Hydroxides Sensor (ATHOS), HOx Chemical Ionization Mass Spectrometer (HOxCIMS), Thermal Dissociation - Laser Induced Fluorescence (TD-LIF), Differential Absorption of CO, CH4, N2) Measurements (DACOM), Differential Absorption Lider (DIAL), Chemical Ionization Mass Spectrometer (CIMS), Non-dispersive Infrared Gas Analyzer (NDIR Gas Analyzer), NCAR NOxyO3, and the Proton Transfer Reaction Mass Spectrometer (PTR-MS). Data was also collected by gas chromatography and fluorescence spectroscopy. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. ARCTAS was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_TraceGas_AircraftInSitu_P3B_Data_1	ARCTAS P-3B Aircraft In-situ Trace Gas Data	LARC_ASDC STAC Catalog	2008-03-23	2008-07-14	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C2449573779-LARC_ASDC.umm_json	ARCTAS_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data for the P-3B aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. This product features data from the Carbon monOxide by Attenuated Laser Transmission (COBALT) instrument. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_TraceGas_AircraftInSitu_P3B_Data_1	ARCTAS P-3B Aircraft In-situ Trace Gas Data	LARC_CLOUD STAC Catalog	2008-03-23	2008-07-14	-164, 32, -68, 81	https://cmr.earthdata.nasa.gov/search/concepts/C3228971163-LARC_CLOUD.umm_json	ARCTAS_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data for the P-3B aircraft collected during the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. This product features data from the Carbon monOxide by Attenuated Laser Transmission (COBALT) instrument. Data collection for this product is complete.    The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
+ARCTAS_Trajectory_Data_1	ARCTAS Kinematic Trajectories	LARC_CLOUD STAC Catalog	2008-03-30	2008-07-14	180, 7.5, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3228971194-LARC_CLOUD.umm_json	ARCTAS_Trajectory_Data is the Kinematic Backward and Forward Trajectories derived for the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. The kinematic trajectories are driven by hourly FSU-WRF winds and initialized at a variety of pressure levels (flight level, 850 HPa, 700 HPa, 500 HPa, and 300 HPa). Data collection for this product is complete.     The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTAS_Trajectory_Data_1	ARCTAS Kinematic Trajectories	LARC_ASDC STAC Catalog	2008-03-30	2008-07-14	180, 7.5, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2449573919-LARC_ASDC.umm_json	ARCTAS_Trajectory_Data is the Kinematic Backward and Forward Trajectories derived for the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. The kinematic trajectories are driven by hourly FSU-WRF winds and initialized at a variety of pressure levels (flight level, 850 HPa, 700 HPa, 500 HPa, and 300 HPa). Data collection for this product is complete.     The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008.    ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change.    ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry.    During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR.    The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.	proprietary
 ARCTICCC_0	Yukon Arctic Carbon Cycle Project	OB_DAAC STAC Catalog	2022-08-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2639478157-OB_DAAC.umm_json	The project conducted field sampling in the Yukon River, delta and plume waters for two transects in spring/summer of 2022 and 2023 and acquisition of additional transect samples during similar flow regimes through our collaborators. Field measurements included a number of water quality parameters relevant to Arctic biogeochemical function and NASA products, including dissolved organic matter (DOM), particulate organic matter (POM), suspended particulate matter (SPM), chlorophyll-a, radiometry, in situ inherent optical properties, discrete dissolved and particle absorption, fluorescent DOM (FDOM), lignin phenols, HPLC pigments, bioavailability of dissolved organic carbon (DOC).	proprietary
 ARESE_ER2_MAS_1	ARM Enhanced Shortwave Experiment (ARESE) Solar Radiation Data	LARC_ASDC STAC Catalog	1995-09-25	1995-10-23	-119.91, 20.25, -84.93, 38.55	https://cmr.earthdata.nasa.gov/search/concepts/C1535861569-LARC_ASDC.umm_json	The ARM Enhanced Shortwave Experiment (ARESE) was conducted at the Department of Energy's ARM Southern Great Plains (SGP) Central Facility between September 22, 1995 and November 1, 1995. ARESE used a combination of satellite, aircraft, and ground observations to make highly accurate solar flux measurements at different altitudes throughout the atmospheric column. At the heart of this was a carefully stacked Twin Otter and Egrett cloud sandwich with the Otter at 1500 - 5000 feet and the Egrett at 43,000 feet overflown by an ER-2 flying at 65,000 feet.	proprietary
@@ -2423,21 +2477,21 @@ AST_L1B_003	ASTER L1B Registered Radiance at the Sensor V003	LPDAAC_ECS STAC Cat
 AST_L1T_003	ASTER Level 1 precision terrain corrected registered at-sensor radiance V003	LPDAAC_ECS STAC Catalog	2000-03-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000320-LPDAAC_ECS.umm_json	The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B (AST_L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected, and rotated to a north-up UTM projection. The AST_L1T is created from a single resampling of the corresponding ASTER L1A (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) product. The bands available in the AST_L1T depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T dataset does not include the aft-looking VNIR band 3.    The precision terrain correction process incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover).    For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both as a text file and a single band browse images with the valid GCPs overlaid.    This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depends on the bands available in the corresponding (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) dataset. 	proprietary
 AST_L1T_031	ASTER Level 1 Precision Terrain Corrected Registered At-Sensor Radiance V031	LPDAAC_ECS STAC Catalog	2000-03-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2052604735-LPDAAC_ECS.umm_json	The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) Version 3.1 data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B AST_L1B  (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected and rotated to a north-up UTM projection. The AST_L1T V3.1 is created from a single resampling of the corresponding ASTER L1A AST_L1A (https://doi.org/10.5067/ASTER/AST_L1A.003) product. Radiometric calibration coefficients Version 5 (RCC V5) are applied to this product to improve the degradation curve derived from vicarious and lunar calibrations. The bands available in the AST_L1T V3.1 depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T V3.1 dataset does not include the aft-looking VNIR band 3.    The 3.1 version uses a precision terrain correction process that incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover).    For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both a text file and a single band browse image with the valid GCPs overlaid.    This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depend on the bands available in the corresponding AST_L1A dataset.    The AST_L1T V3.1 data product is only available through NASA’s Earthdata Search. The ASTER L1T V3.1 Order Instructions provide step-by-step directions for ordering this product.  	proprietary
 ATCS_0	The A-Train Cloud Segmentation Dataset	OB_DAAC STAC Catalog	2007-11-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2172083412-OB_DAAC.umm_json	ATCS is a dataset designed to train deep learning models to volumetrically segment clouds from multi-angle satellite imagery. The dataset consists of spatiotemporally aligned patches of multi-angle polarimetry from the POLDER sensor aboard the PARASOL mission and vertical cloud profiles from the 2B-CLDCLASS product using the cloud profiling radar (CPR) aboard CloudSat.	proprietary
-ATL02_006	ATLAS/ICESat-2 L1B Converted Telemetry Data V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.umm_json	This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.	proprietary
 ATL02_006	ATLAS/ICESat-2 L1B Converted Telemetry Data V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.umm_json	This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.	proprietary
-ATL03_006	ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2559919423-NSIDC_ECS.umm_json	This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.	proprietary
+ATL02_006	ATLAS/ICESat-2 L1B Converted Telemetry Data V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.umm_json	This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.	proprietary
 ATL03_006	ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.umm_json	This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.	proprietary
+ATL03_006	ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2559919423-NSIDC_ECS.umm_json	This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.	proprietary
 ATL03_ANC_MASKS_1	ATLAS/ICESat-2 ATL03 Ancillary Masks, Version 1	NSIDCV0 STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2278879612-NSIDCV0.umm_json	This ancillary ICESat-2 data set contains four static surface masks (land ice, sea ice, land, and ocean) provided by ATL03 to reduce the volume of data that each surface-specific along-track data product is required to process. For example, the land ice surface mask directs the ATL06 land ice algorithm to consider data from only those areas of interest to the land ice community. Similarly, the sea ice, land, and ocean masks direct ATL07, ATL08, and ATL12 algorithms, respectively. A detailed description of all four masks can be found in section 4 of the Algorithm Theoretical Basis Document (ATBD) for ATL03 linked under technical references.	proprietary
-ATL04_006	ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json	ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL04_006	ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json	ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
+ATL04_006	ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json	ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL06_006	ATLAS/ICESat-2 L3A Land Ice Height V006	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json	This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL06_006	ATLAS/ICESat-2 L3A Land Ice Height V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.umm_json	This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL07QL_006	ATLAS/ICESat-2 L3A Sea Ice Height Quick Look V006	NSIDC_ECS STAC Catalog	2024-06-21		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2548344839-NSIDC_ECS.umm_json	ATL07QL is the quick look version of ATL07. Once final ATL07 files are available, the corresponding ATL07QL files will be removed. ATL07 contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
-ATL07_006	ATLAS/ICESat-2 L3A Sea Ice Height V006	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json	The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL07_006	ATLAS/ICESat-2 L3A Sea Ice Height V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json	The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
+ATL07_006	ATLAS/ICESat-2 L3A Sea Ice Height V006	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json	The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL08QL_006	ATLAS/ICESat-2 L3A Land and Vegetation Height Quick Look V006	NSIDC_ECS STAC Catalog	2024-05-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2548345108-NSIDC_ECS.umm_json	ATL08QL is the quick look version of ATL08. Once final ATL08 files are available the corresponding ATL08QL files will be removed.  ATL08 contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
-ATL08_006	ATLAS/ICESat-2 L3A Land and Vegetation Height V006	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json	This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL08_006	ATLAS/ICESat-2 L3A Land and Vegetation Height V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json	This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
+ATL08_006	ATLAS/ICESat-2 L3A Land and Vegetation Height V006	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json	This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL09QL_006	ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics Quick Look V006	NSIDC_ECS STAC Catalog	2024-05-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2551528419-NSIDC_ECS.umm_json	ATL09QL is the quick look version of ATL09. Once final ATL09 files are available the corresponding ATL09QL files will be removed.  ATL09 contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL09_006	ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.umm_json	This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL09_006	ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2607017115-NSIDC_ECS.umm_json	This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
@@ -2449,18 +2503,18 @@ ATL11_006	ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series V006	NS
 ATL12_006	ATLAS/ICESat-2 L3A Ocean Surface Height V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2560378689-NSIDC_ECS.umm_json	This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL12_006	ATLAS/ICESat-2 L3A Ocean Surface Height V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553216-NSIDC_CPRD.umm_json	This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL13QL_006	ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data Quick Look V006	NSIDC_ECS STAC Catalog	2024-06-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2650092501-NSIDC_ECS.umm_json	ATL13QL is the quick look version of ATL13. Once final ATL13 files are available the corresponding ATL13QL files will be removed. ATL13 contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7 km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).	proprietary
-ATL13_006	ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json	This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).	proprietary
 ATL13_006	ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json	This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).	proprietary
+ATL13_006	ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json	This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).	proprietary
 ATL14_003	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003	NSIDC_ECS STAC Catalog	2019-03-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2776464127-NSIDC_ECS.umm_json	ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR).   ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.	proprietary
 ATL14_003	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003	NSIDC_CPRD STAC Catalog	2019-03-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2776895337-NSIDC_CPRD.umm_json	ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR).   ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.	proprietary
-ATL14_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004	NSIDC_CPRD STAC Catalog	2019-01-01	2023-12-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3162179692-NSIDC_CPRD.umm_json	This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
 ATL14_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004	NSIDC_ECS STAC Catalog	2019-01-01	2023-12-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3159684163-NSIDC_ECS.umm_json	This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
+ATL14_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004	NSIDC_CPRD STAC Catalog	2019-01-01	2023-12-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3162179692-NSIDC_CPRD.umm_json	This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
 ATL15_003	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003	NSIDC_ECS STAC Catalog	2019-03-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.umm_json	ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR).   ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.	proprietary
 ATL15_003	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003	NSIDC_CPRD STAC Catalog	2019-03-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2776895930-NSIDC_CPRD.umm_json	ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR).   ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.	proprietary
-ATL15_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004	NSIDC_CPRD STAC Catalog	2019-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.umm_json	This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
 ATL15_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004	NSIDC_ECS STAC Catalog	2019-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.umm_json	This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
-ATL16_005	ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V005	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2769337070-NSIDC_CPRD.umm_json	This product reports weekly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
+ATL15_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004	NSIDC_CPRD STAC Catalog	2019-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.umm_json	This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
 ATL16_005	ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V005	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2737997243-NSIDC_ECS.umm_json	This product reports weekly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
+ATL16_005	ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V005	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2769337070-NSIDC_CPRD.umm_json	This product reports weekly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
 ATL17_005	ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2737997483-NSIDC_ECS.umm_json	This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
 ATL17_005	ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2769338020-NSIDC_CPRD.umm_json	This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
 ATL19_003	ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003	NSIDC_ECS STAC Catalog	2018-10-13		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.umm_json	This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography.	proprietary
@@ -2469,8 +2523,8 @@ ATL20_004	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004	NS
 ATL20_004	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2753295020-NSIDC_CPRD.umm_json	ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection.	proprietary
 ATL21_003	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.umm_json	ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids.	proprietary
 ATL21_003	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2753316241-NSIDC_CPRD.umm_json	ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids.	proprietary
-ATL22_003	ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.umm_json	ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.	proprietary
 ATL22_003	ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003	NSIDC_ECS STAC Catalog	2018-10-14		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json	ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.	proprietary
+ATL22_003	ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.umm_json	ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.	proprietary
 ATL23_001	ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001	NSIDC_ECS STAC Catalog	2018-10-13		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json	This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.	proprietary
 ATL23_001	ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json	This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.	proprietary
 ATLAS_DEALIASED_SASS_L2_1	SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (Atlas)	POCLOUD STAC Catalog	1978-07-07	1978-10-10	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2617197627-POCLOUD.umm_json	Contains wind speeds and directions derived from the Seasat-A Scatterometer (SASS), presented chronologically by swath for the period between 7 July 1978 and 10 October 1978. Robert Atlas et al. (1987) produced this product using an objective ambiguity removal scheme to dealias the wind vector data binned at 100 km cells, which were calculated by Frank Wentz.	proprietary
@@ -2605,6 +2659,7 @@ Absolutes_1	Magnetic observations collected from Antarctica and Macquarie Island
 Academ_Kurchatov_0	Measurements made by the Akademik Kurchatov Russian research vessel	OB_DAAC STAC Catalog	1988-06-12		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360085-OB_DAAC.umm_json	Measurements made by the Akademik Kurchatov Russian research vessel in the Atlantic Ocean and Black Sea in 1988.	proprietary
 AcousticTrends_BlueFinLibrary_1	An annotated library of underwater acoustic recordings for testing and training automated algorithms for detecting Antarctic blue and fin whale sounds	AU_AADC STAC Catalog	2005-01-01	2017-12-30	-56, -75, 168, -61	https://cmr.earthdata.nasa.gov/search/concepts/C1709216523-AU_AADC.umm_json	This annotated library contains both a data set and a data product.   The data set contains a sub-sample of underwater recordings made around Antarctica from 2005-2017. These recordings were curated and sub-sampled from a variety of national and academic recording campaigns. Recordings were made using a variety of different instruments, and sub-samples span 11 different combinations of site and year. Spatial coverage of the recordings includes sites in the Western Antarctic Peninsula, Atlantic, Indian, and Pacific sectors. Temporal coverage of recordings covers a representative sample throughout each recording year for the years of 2005, 2013, 2014, 2015, and 2017. The focus is on low-frequency sounds of blue and fin whales, so curated recordings have been downsampled to sample rates of either 250, 500, 1000 or 2000 Hz. Recordings are all in 16-bit wav format. The file name of each wav file contains a timestamp with the date and time of the start of that file. Recordings are contained in the /wav/ subfolder for each site-year (e.g. Casey2014/wav).   The data product is in the form of annotations that describe the times within each WAV file that contain detections of blue and fin whale sounds. Each annotations are stored as a row in a tab-separated text file (with descriptive column headers), and each text file describes a particular type of sound. These annotation text files are formatted as Selection Tables that can be directly imported into the software program Raven Pro 1.5 (Cornell Bioacoustics Laboratory).   Full description of the details of the creation and use of this dataset are described in the draft manuscript contained in the documentation folder.	proprietary
 Acoustic_seals_1	Acoustic surveying of pack-ice seals	AU_AADC STAC Catalog	1996-10-05	2001-01-16	77, -68, 78, -67	https://cmr.earthdata.nasa.gov/search/concepts/C1214311713-AU_AADC.umm_json	Acoustic surveying Data from four acoustic surveys from the Aurora Australis from 1996-10-05 to 1996-10-31; 1997-10-09 to 1997-10-29; 1997-12-08 to 1998-01-06; and 1999-12-04 to 2001-01-16.        Sonobouys deployed off the back of the ship, half an hour recording duration samples made concurrently with Colin Southwells visual surveys. Numbers of leopard seal calls audible from recordings measured by acoustic analysis.        The fields in this dataset are: Tape # = the tape number and date Recording # = Recording number Buoy # = Sonobuoy number Buoy Freq  = Sonobuoy frequency Longitude S = Longitude Decimal Longitude S = Decimal Longitude Latitude E = Latitude Decimal Latitude E = Decimal Latitude GMT = Greenwich Mean Time Local time = Local Time Serial Time = dd:mm:yy  hh:mm Ship Speed Kts ICE Cover (/10) = Ice Cover in tenths Ice % cover = Percentage of Ice Cover  Thick Ice: Ice Thickness 0 = 0; 1less than  2 cm; 2 = 2cm to 0.25m; 3= 0.25m to 0.5m; 4 = 0.5m - 1m; 5 greater than 1.0 m  Ice Type: 1 = no information; 2 = grease or pancake; 3 = brash; 4 = floes first year; 5 = multiyear floes; 6 = first year rafted floes; 7 = multiyear rafted floes; 8 = mixed brash and 1st year floes; 9 = mixed brash and multiyear floes; 10 = icebergs; 11 = icebergs and brash; 12 = icebergs and 1st year floes; 13 = icebergs and multiyear floes; 14 = compacted pack ice; 15 = iceshelf; 16 = other; 17 = fast ice.        Floe Width: 1 = less than  3 m; 2 = 3 - 10 m; 3 = 10 - 50m; 4 = 50 -100 m; 5 greater than 100 m. Weather: 1 = blue sky (0-20% cloud); 2 = partly cloudy (21-80%); 3 = cloudy (81-99%); 4 = overcast (100%); 5 = rain; 6 = mist; 7 = fog; 8 = fog patches; 9 = drizzle; 10 =snow; 11 = snow fog; 12 = rain fog.        Algae: 1 = clear; 2 = slight colour; 3 = medium colour; 4 = dark brown patches; 5 = all dark brown  Water Depth m Wind Speed Kts Wind Direction Air temp  degrees C Rec Time = Duration of the recording made Gain = Recording gain on the amplifier  Mammal Sounds? = Other mammal sounds.  CS = unknown origin chain-saw like sound;  P5/P6 = unknown origin pulsed sounds; NSL = unknown origin appears to be a new leopard seal sound; Wd = Weddell; LS = Leopard; KW = Killer Whale; RS = Ross        LS Calls Total = Total number of leopard seal calls D = Total Low Descending trills H  = Total High Double trills L   = Total Low Double trills M  = Total Medium Single trills O = Total Hoots with Single trills Juv LS = Total Juvenile Leopard seal calls NLS  = Total New Leopard Seal Calls CS  = Total Chain Saw Calls RS   = Total Ross Seal Calls Wd  = Total Weddell seal Calls P2-P5 = Total Pulsed calls	proprietary
+ActSched_001	MISR EMOS Non-orderable	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2843763489-LARC_CLOUD.umm_json	MISR EMOS Non-orderable collection for ingest testing.	proprietary
 Active_Fluorescence_2001_0	Active fluorescence measurements in the Gulf Stream in 2001	OB_DAAC STAC Catalog	2001-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360093-OB_DAAC.umm_json	Measurements in the Gulf Stream off the East Coast of the US in 2001	proprietary
 Active_Layer_Thaw_Depths_1701_1	ABoVE: Soil Active Layer Thaw Depths at CRREL sites near Fairbanks, Alaska, 2014-2018	ORNL_CLOUD STAC Catalog	2014-10-15	2018-10-15	-147.74, 64.87, -147.61, 64.95	https://cmr.earthdata.nasa.gov/search/concepts/C2143403378-ORNL_CLOUD.umm_json	This dataset provides soil active layer thaw depth measurements collected along transects at three sites near Fairbanks, Alaska, USA. Measurements were made during the late summers of 2014-2018. The sites were located at Creamer's Field, the Permafrost Tunnel, and Farmer's Loop (two transects). Vegetation ecotypes along the transects are also reported. The US Army Corps of Engineers, Cold Regions Research and Engineering Laboratory (CRREL) owns and operates facilities at the Permafrost Tunnel and Farmer's Loop. The sites are suitable for manipulation experiments, installing permanent equipment, and establishing long-term measurements.	proprietary
 Adelie_Aerial_Photography_Casey20102011_1	Aerial photography from the Casey region taken during January 2011 used for Adelie penguin analysis	AU_AADC STAC Catalog	2011-01-02	2011-01-23	108, -67, 111, -66	https://cmr.earthdata.nasa.gov/search/concepts/C1214311744-AU_AADC.umm_json	Aerial photographs were taken at 3 islands in the Cronk group and 3 islands in the Frazier group of the Windmill islands where occupancy surveys in 2010-11 found breeding Adelie penguin populations. The photographs were taken to estimate the size of breeding Adelie penguin populations. Photographs of the Cronk Island group were taken on the 2 January 2011. One flight was made along a northeast-southwest direction across the three main islands, Hollin, Midgley and Beall (see below). The flight started at 02:10:23 UTC and finished at 03:40:45 UTC. The SkyTraders crew were the flight and camera operators. The daily weather observations from Casey Station for 2 January 2011 were 14.0 hour of sunlight, winds from the North  at 6-13 knots and 2/8 cloud cover.  Photographs of the Frazier Island group were taken on the 23 January 2011.   Aerial photos were taken from a CASA C212 airplane (VHA) flying at ~140 knots and ~750m altitude using a Nikon D200 camera with a 55 mm real lens which is converted to a 75 mm lens (including the focal length magnification factor of 1.5 for non-35mm format). The Nikon D200 camera was set to normal which allows for varied speed and aperture and was set on autofocus. A 3-second shutter closure interval was programmed using an external intervalometer. All photographs were recorded on the cameras internal memory card and downloaded after the flight was over.	proprietary
@@ -3186,6 +3241,7 @@ CAL_LID_L2_05kmALay-Prov-V3-02_V3-02	CALIPSO Lidar Level 2 5km Aerosol Layer dat
 CAL_LID_L2_05kmALay-Prov-V3-30_V3-30	CALIPSO Lidar Level 2 5km Aerosol Layer data, Provisional V3-30	LARC_ASDC STAC Catalog	2013-03-01	2016-12-08	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1523564910-LARC_ASDC.umm_json	CAL_LID_L2_05kmALay-Prov-V3-30 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5km aerosol layer data, Provisional Version 3-30. Data collection for this product is complete. Within the Lidar Aerosol Layer Product there are two general classes of data:- Column Properties (including position data and viewing geometry)- Layer Properties. The lidar layer products consist of a sequence of column descriptors, each one of which is associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column. The science algorithms used to produce the V3.30 CALIOP data products are identical to those used to generate the V3.01 and V3.02 products; however, some of the ancillary data used in the V3.30 analyses is different. All CALIOP data products rely on meteorological data provided by NASA's Global Modeling and Assimilation Office (GMAO). The V3.01 and V3.02 data products were produced using the GMAO's GEOS 5.2 data products. CALIPSO was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite is comprised of three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.	proprietary
 CAL_LID_L2_05kmALay-Standard-V4-20_V4-20	CALIPSO Lidar Level 2 5 km Aerosol Layer Data, V4-20	LARC_ASDC STAC Catalog	2006-06-12	2020-07-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1556717897-LARC_ASDC.umm_json	CAL_LID_L2_05kmALay-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Aerosol Layer Data, Version 4-20 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to July 1, 2023.     Within the Lidar Aerosol Layer Product, there are two general classes of data:- Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each one of which is associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     CALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D’Etudes Spatiales).	proprietary
 CAL_LID_L2_05kmALay-Standard-V4-21_V4-21	CALIPSO Lidar Level 2 5 km Aerosol Layer Data, V4-21	LARC_ASDC STAC Catalog	2020-07-01	2022-01-19	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1978623212-LARC_ASDC.umm_json	CAL_LID_L2_05kmALay-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Aerosol Layer Data, Version 4-21 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The version of this product was changed from 4-20 to 4-21 to account for a change in the operating system of the CALIPSO production cluster. Data collection for this product is complete.    Within the Lidar Aerosol Layer Product, there are two general classes of data:- Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     CALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'études spatiales).	proprietary
+CAL_LID_L2_05kmALay-Standard-V4-51_V4-51	CALIPSO Lidar Level 2 5 km Aerosol Layer Data, V4-51	LARC_CLOUD STAC Catalog	2006-06-11	2023-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2722461297-LARC_CLOUD.umm_json	CAL_LID_L2_05kmALay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Aerosol Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'études spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.	proprietary
 CAL_LID_L2_05kmALay-Standard-V4-51_V4-51	CALIPSO Lidar Level 2 5 km Aerosol Layer Data, V4-51	LARC_ASDC STAC Catalog	2006-06-11	2023-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2667982885-LARC_ASDC.umm_json	CAL_LID_L2_05kmALay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Aerosol Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'études spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.	proprietary
 CAL_LID_L2_05kmAPro-Prov-V3-02_V3-02	CALIPSO Lidar Level 2 5km Aerosol Profile data, Provisional V3-02	LARC_ASDC STAC Catalog	2011-11-01	2013-03-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1522937252-LARC_ASDC.umm_json	CAL_LID_L2_05kmAPro-Prov-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 aerosol profile data using the CALIPSO Lidar Ratio selection algorithm. The Lidar Level 2 Aerosol Profile data products contain averaged aerosol profile data and ancillary data. There are no layer descriptors included in the lidar aerosol profile data products. The spatial distribution of the aerosol layers is instead completely characterized by the aerosol layer fraction and atmospheric volume description parameters. The aerosol profile products are generated at a uniform horizontal resolution of 5 km. The aerosol backscatter and extinction coefficients are computed using a lidar ratio selected by the CALIPSO Lidar Ratio selection algorithm. Version 3.02 represents a transition of the Lidar, IIR, and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.	proprietary
 CAL_LID_L2_05kmAPro-Standard-V4-20_V4-20	CALIPSO Lidar Level 2 Aerosol Profile, V4-20	LARC_ASDC STAC Catalog	2006-06-12	2020-07-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1556717902-LARC_ASDC.umm_json	CAL_LID_L2_05kmAPro-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Aerosol Profile, Version 4-20 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to June 30, 2023.    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D’Etudes Spatiales).	proprietary
@@ -3194,11 +3250,13 @@ CAL_LID_L2_05kmAPro-Standard-V4-51_V4-51	CALIPSO Lidar Level 2 Aerosol Profile,
 CAL_LID_L2_05kmCLay-Standard-V4-20_V4-20	CALIPSO Lidar Level 2 5 km Cloud Layer, V4-20	LARC_ASDC STAC Catalog	2006-06-12	2020-07-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1556717899-LARC_ASDC.umm_json	CAL_LID_L2_05kmCLay-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 5 km Cloud Layer, Version 4-20 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current.     CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D’Etudes Spatiales).	proprietary
 CAL_LID_L2_05kmCLay-Standard-V4-21_V4-21	CALIPSO Lidar Level 2 5 km Cloud Layer, V4-21	LARC_ASDC STAC Catalog	2020-07-01	2022-01-19	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1978623400-LARC_ASDC.umm_json	CAL_LID_L2_05kmCLay-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 5 km Cloud Layer, Version 4-21 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The version of this product was changed from 4-20 to 4-21 to account for a change in the operating system of the CALIPSO production cluster. Data collection for this product is ongoing.    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).	proprietary
 CAL_LID_L2_05kmCLay-Standard-V4-51_V4-51	CALIPSO Lidar Level 2 5 km Cloud Layer, V4-51	LARC_ASDC STAC Catalog	2006-06-11	2023-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2667982880-LARC_ASDC.umm_json	CAL_LID_L2_05kmCLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Cloud Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.	proprietary
+CAL_LID_L2_05kmCLay-Standard-V4-51_V4-51	CALIPSO Lidar Level 2 5 km Cloud Layer, V4-51	LARC_CLOUD STAC Catalog	2006-06-11	2023-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2722461769-LARC_CLOUD.umm_json	CAL_LID_L2_05kmCLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Cloud Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.	proprietary
 CAL_LID_L2_05kmCPro-Standard-V4-20_V4-20	CALIPSO Lidar Level 2 Cloud Profile, V4-20	LARC_ASDC STAC Catalog	2006-06-12	2020-07-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1556717900-LARC_ASDC.umm_json	CAL_LID_L2_05kmCPro-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Cloud Profile, Version 4-20 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current.     CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D'Etudes Spatiales).	proprietary
 CAL_LID_L2_05kmCPro-Standard-V4-21_V4-21	CALIPSO Lidar Level 2 Cloud Profile, V4-21	LARC_ASDC STAC Catalog	2020-07-01	2022-01-19	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1978623870-LARC_ASDC.umm_json	CAL_LID_L2_05kmCPro-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Cloud Profile, Version 4-21 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The version of this product was changed from 4-20 to 4-21 to account for a change in the operating system of the CALIPSO production cluster.    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).	proprietary
 CAL_LID_L2_05kmCPro-Standard-V4-51_V4-51	CALIPSO Lidar Level 2 Cloud Profile, V4-51	LARC_ASDC STAC Catalog	2006-06-11	2023-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2667982877-LARC_ASDC.umm_json	CAL_LID_L2_05kmCPro-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Cloud Profile, Version 4-51 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.	proprietary
 CAL_LID_L2_05kmMLay-Standard-V4-20_V4-20	CALIPSO Lidar Level 2 5 km Merged Layer, V4-20	LARC_ASDC STAC Catalog	2006-06-12	2020-07-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1602408375-LARC_ASDC.umm_json	CAL_LID_L2_05kmMLay-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 5 km Merged Layer, Version 4-20 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to June 30, 2023.     CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D'Etudes Spatiales).	proprietary
 CAL_LID_L2_05kmMLay-Standard-V4-21_V4-21	CALIPSO Lidar Level 2 5 km Merged Layer, V4-21	LARC_ASDC STAC Catalog	2020-07-01	2022-01-19	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1978623937-LARC_ASDC.umm_json	CAL_LID_L2_05kmMLay-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 5 km Merged Layer, Version 4-21 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The version of this product was changed from 4-20 to 4-21 to account for a change in the operating system of the CALIPSO production cluster.     CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).	proprietary
+CAL_LID_L2_05kmMLay-Standard-V4-51_V4-51	CALIPSO Lidar Level 2 5 km Merged Layer, V4-51	LARC_CLOUD STAC Catalog	2006-06-11	2023-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2722461364-LARC_CLOUD.umm_json	CAL_LID_L2_05kmMLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Merged (cloud + aerosol) Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.	proprietary
 CAL_LID_L2_05kmMLay-Standard-V4-51_V4-51	CALIPSO Lidar Level 2 5 km Merged Layer, V4-51	LARC_ASDC STAC Catalog	2006-06-11	2023-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2667982879-LARC_ASDC.umm_json	CAL_LID_L2_05kmMLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 5 km Merged (cloud + aerosol) Layer Data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.    Within this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each associated with a variable number of layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.     The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).    CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.	proprietary
 CAL_LID_L2_333mCLay-ValStage1-V3-30_V3-30	CALIPSO Lidar Level 2 1/3km Cloud Layer data, Validated Stage 1 V3-30	LARC_ASDC STAC Catalog	2013-03-01	2016-12-08	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1523234283-LARC_ASDC.umm_json	CAL_LID_L2_333mCLay-ValStage1-V3-30 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 1/3km (333m) cloud layer data, Validated Stage 1 Version 3-30. Data collection for this product is complete. Within the Lidar Cloud Layer Product there are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products consist of a sequence of column descriptors, each one of which is associated with a variable number of layer descriptors. The column descriptors specify the temporal and geo-physical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., cloud and/or aerosol layers) identified within the column. For each feature within a column, a set of layer descriptors is reported. The layer descriptors provide information about the spatial and optical characteristics of a feature, such as base and top altitudes, integrated attenuated backscatter, and optical depth. New parameters for the V3-01 product include column optical depths, layer top pressure, layer base pressure, layer mid-point pressure, layer top temperature, and layer base temperature. The science algorithms used to produce the V3.30 Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP) data products are identical to those used to generate the V3.01 and V3.02 products; however, some of the ancillary data used in the V3.30 analyses are different. All CALIOP data products rely on meteorological data provided by NASA's Global Modeling and Assimilation Office (GMAO). The V3.01 and V3.02 data products were produced using the GMAO's GEOS 5.2 data products. CALIPSO was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite is comprised of three instruments, CALIOP, the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.	proprietary
 CAL_LID_L2_333mMLay-Standard-V4-20_V4-20	CALIPSO Lidar Level 2 1/3 km Merged Layer, V4-20	LARC_ASDC STAC Catalog	2006-06-12	2020-07-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1556717901-LARC_ASDC.umm_json	CAL_LID_L2_333mMLay-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 1/3 km Merged Layer, Version 4-20 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current.     CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D'Etudes Spatiales).	proprietary
@@ -3709,6 +3767,7 @@ CERES-MISR-MODIS_SSF-SSFM_Terra-FM2_1	CERES and MISR Along-Track Footprint Radia
 CERES_EBAF-TOA_Edition4.1	CERES Energy Balanced and Filled (EBAF) TOA Monthly means data in netCDF Edition4.1	LARC_ASDC STAC Catalog	2000-03-01	2023-04-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1623986748-LARC_ASDC.umm_json	CERES_EBAF-TOA_Edition4.1 is the Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) Monthly means data in netCDF format Edition 4.1 data product. Data was collected using the CERES Scanner instruments on both the Terra and Aqua platforms. Data collection for this product is ongoing.    CERES_EBAF-TOA_Edition4.1 data are monthly and climatological averages of TOA clear-sky (spatially complete) fluxes and all-sky fluxes, where the TOA net flux is constrained to the ocean heat storage. EBAF-TOA provides some basic cloud properties derived from Moderate-Resolution Imaging Spectroradiometer (MODIS) alongside TOA fluxes. Observed fluxes are obtained using cloud properties derived from narrow-band imagers onboard both Earth Observing System (EOS) Terra and Aqua satellites as well as geostationary satellites to more fully model the diurnal cycle of clouds. The computations are also based on meteorological assimilation data from the Goddard Earth Observing System (GEOS) Versions 5.4.1 models. Unlike other CERES Level 3 clear-sky regional data sets that contain clear-sky data gaps, the clear-sky fluxes in the EBAF-TOA product are regionally complete. The EBAF-TOA product is the CERES project's best estimate of the fluxes based on all available satellite platforms and input data.     CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CERES_EBAF-TOA_Edition4.2	CERES Energy Balanced and Filled (EBAF) TOA Monthly means data in netCDF Edition4.2	LARC_ASDC STAC Catalog	2000-03-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2568996072-LARC_ASDC.umm_json	CERES_EBAF-TOA_Edition4.2 is the Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) Monthly means data in netCDF format Edition 4.2 data product. Data was collected using the CERES Scanner instruments on the Terra, Aqua, and NOAA-20 platforms. Data collection for this product is ongoing.    CERES_EBAF-TOA_Edition4.2 data are monthly and climatological averages of TOA clear-sky (spatially complete) fluxes and all-sky fluxes, where the TOA net flux is constrained to the ocean heat storage. EBAF-TOA provides some basic cloud properties derived from high-resolution imager data alongside TOA fluxes. The Moderate-Resolution Imaging Spectroradiometer (MODIS) imagers Terra and Aqua and the Visible Infrared Imaging Radiometer Suite (VIIRS) are used for NOAA-20. Observed fluxes are obtained using cloud properties derived from narrow-band imagers onboard Earth Observing System (EOS) Terra and Aqua and NOAA-20 satellites and geostationary satellites to fully model the diurnal cycle of clouds. The computations are also based on meteorological assimilation data from the Goddard Earth Observing System (GEOS) Versions 5.4.1 models. Unlike other CERES Level 3 clear-sky regional data sets that contain clear-sky data gaps, the clear-sky fluxes in the EBAF-TOA product are regionally complete. The EBAF-TOA product is the CERES project's best estimate of the fluxes based on all available satellite platforms and input data. Only Terra data is used from March 2000 to June 2002; Terra and Aqua are combined from July 2002 until March 2022; and only NOAA-20 is used after March 2022. A correction created from an overlap period with time periods when both Terra and Aqua are available is used to adjust the single satellite periods.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CERES_EBAF_Edition4.1	CERES Energy Balanced and Filled (EBAF) TOA and Surface Monthly means data in netCDF Edition 4.1	LARC_ASDC STAC Catalog	2000-03-01	2022-04-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1630432625-LARC_ASDC.umm_json	CERES_EBAF_Edition4.1 is the Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) and surface monthly means data in netCDF format Edition 4.1 data product. Data was collected using the CERES Scanner instruments on both the Terra and Aqua platforms. Data collection for this product is ongoing.    CERES_EBAF_Edition4.1 data are monthly and climatological averages of TOA clear-sky (spatially complete) fluxes and all-sky fluxes, where the TOA net flux is constrained to the ocean heat storage. It also provides computed monthly mean surface radiative fluxes consistent with the CERES EBAF-TOA product and some basic cloud properties derived from MODIS. Cloud Radiative Effects are provided at both the TOA and surface as determined using a cloud-free profile in the Fu-Liou Radiative Transfer Model (RTM). Observed fluxes are obtained using cloud properties derived from narrow-band imagers onboard both EOS Terra and Aqua satellites, as well as geostationary satellites, to fully model the diurnal cycle of clouds. The computations are also based on meteorological assimilation data from the Goddard Earth Observing System (GEOS) Versions 5.4.1 models. Unlike other CERES Level 3 clear-sky regional data sets that contain clear-sky data gaps, the clear-sky fluxes in the EBAF-TOA product are regionally complete. The EBAF-TOA product is the CERES project's best estimate of the fluxes based on all available satellite platforms and input data.     CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CERES_EBAF_Edition4.2	CERES Energy Balanced and Filled (EBAF) TOA and Surface Monthly means data in netCDF Edition 4.2	LARC_CLOUD STAC Catalog	2000-03-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3152928881-LARC_CLOUD.umm_json	CERES_EBAF_Edition4.2 is the Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) and surface monthly means data in netCDF format Edition 4.2 data product. Data was collected using the CERES Scanner instruments on the Terra, Aqua, and NOAA-20 platforms for various periods. Data collection for this product is ongoing.    CERES_EBAF_Edition4.2 data are monthly and climatological averages of TOA clear-sky (spatially complete) fluxes and all-sky fluxes, where the TOA net flux is constrained to the ocean heat storage. It also provides computed monthly mean surface radiative fluxes consistent with the CERES EBAF-TOA product and some basic cloud properties derived from colocated imagers. Cloud Radiative Effects are provided at both the TOA and surface as determined using a cloud-free profile in the Fu-Liou Radiative Transfer Model (RTM). Observed fluxes are obtained using cloud properties derived from narrow-band imagers onboard both EOS Terra and Aqua satellites and NOAA-20, as well as geostationary satellites, to fully model the diurnal cycle of clouds. The computations are also based on meteorological assimilation data from the Goddard Earth Observing System (GEOS) Versions 5.4.1 models. Unlike other CERES Level 3 clear-sky regional data sets that contain clear-sky data gaps, the clear-sky fluxes in the EBAF-TOA product are regionally complete. The EBAF-TOA product is the CERES project's best estimate of the fluxes based on all available satellite platforms and input data.     CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CERES_EBAF_Edition4.2	CERES Energy Balanced and Filled (EBAF) TOA and Surface Monthly means data in netCDF Edition 4.2	LARC_ASDC STAC Catalog	2000-03-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2627883499-LARC_ASDC.umm_json	CERES_EBAF_Edition4.2 is the Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) and surface monthly means data in netCDF format Edition 4.2 data product. Data was collected using the CERES Scanner instruments on the Terra, Aqua, and NOAA-20 platforms for various periods. Data collection for this product is ongoing.    CERES_EBAF_Edition4.2 data are monthly and climatological averages of TOA clear-sky (spatially complete) fluxes and all-sky fluxes, where the TOA net flux is constrained to the ocean heat storage. It also provides computed monthly mean surface radiative fluxes consistent with the CERES EBAF-TOA product and some basic cloud properties derived from colocated imagers. Cloud Radiative Effects are provided at both the TOA and surface as determined using a cloud-free profile in the Fu-Liou Radiative Transfer Model (RTM). Observed fluxes are obtained using cloud properties derived from narrow-band imagers onboard both EOS Terra and Aqua satellites and NOAA-20, as well as geostationary satellites, to fully model the diurnal cycle of clouds. The computations are also based on meteorological assimilation data from the Goddard Earth Observing System (GEOS) Versions 5.4.1 models. Unlike other CERES Level 3 clear-sky regional data sets that contain clear-sky data gaps, the clear-sky fluxes in the EBAF-TOA product are regionally complete. The EBAF-TOA product is the CERES project's best estimate of the fluxes based on all available satellite platforms and input data.     CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_BDS_Aqua-FM3_Edition1-CV	CERES Bidirectional Scans Aqua FM3 Edition1-CV	LARC_ASDC STAC Catalog	2002-06-17		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C4254857-LARC_ASDC.umm_json	CER_BDS_Aqua-FM3_Edition1-CV is the Clouds and the Earth's Radiant Energy System (CERES) Bidirectional Scans (BDS) Aqua Flight Model 3 (FM3) Edition1-CV data product, which was collected using the CERES-FM3 instrument on the Aqua platform. This data product is intended only to be used for instrument validation purposes and is, therefore, not suited for science publications. Data collection for this product is ongoing.     Note: Edition 1-CV data are only for instrument validation and not suited for science publications.    Each CERES BDS data product contains twenty-four hours of Level-1B data for each CERES scanner instrument mounted on each spacecraft. BDS includes samples of normal and short Earth scan elevation profiles in fixed and rotating azimuth modes (including space, internal calibration, and solar calibration views). BDS contains Level-0 raw (unconverted) and the geolocated converted science and instrument data. BDS has additional data not found in the Level-0 input file, including converted satellite position and velocity data, celestial data converted digital status data, and parameters used in the radiance count conversion equations. CERES is a key Earth Observing System (EOS) program component.     CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_BDS_Aqua-FM3_Edition4	CERES Bidirectional Scans Aqua FM3 Edition4	LARC_ASDC STAC Catalog	2002-06-18		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C7460992-LARC_ASDC.umm_json	CER_BDS_Aqua-FM3_Edition4 is the Clouds and the Earth's Radiant Energy System (CERES) Bidirectional Scans (BDS) Aqua Flight Model 3 (FM3) Edition 4 data product, which is collected using the CERES-FM3 instrument on the Aqua platform. CER_BDS_Aqua-FM3_Edition4 includes geolocated and calibrated Top-of-Atmosphere (TOA) filtered radiances and other instrument data. Data collection for this product is ongoing.     Each CERES BDS data product contains twenty-four hours of Level-1B data for each CERES scanner instrument mounted on each spacecraft. BDS includes samples of normal and short Earth scan elevation profiles in fixed and rotating azimuth modes (including space, internal calibration, and solar calibration views). BDS contains Level-0 raw (unconverted) and the geolocated converted science and instrument data. BDS has additional data not found in the Level-0 input file, including converted satellite position and velocity data, celestial data, converted digital status data, and parameters used in the radiance count conversion equations.     CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
@@ -3845,30 +3904,56 @@ CER_SSF1deg-Month_NOAA20-VIIRS_Edition1B	CERES Time-Interpolated TOA Fluxes, Clo
 CER_SSF1deg-Month_NPP-VIIRS_Edition2A	CERES SSF 1 degree Time-Interpolated TOA Fluxes, Clouds and Aerosols Monthly NPP Edition2A	LARC_ASDC STAC Catalog	2012-02-01	2019-09-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2246001757-LARC_ASDC.umm_json	CER_SSF1deg-Month_NPP-VIIRS_Edition2A is the Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint One Degree (SSF1deg) Time-Interpolated Top-of-Atmosphere (TOA) Fluxes, Clouds and Aerosols Monthly Edition 2A data product, which was collected using the CERES-Flight Model 5 (FM5) and Visible-Infrared Imager-Radiometer Suite (VIIRS) instruments on the Suomi National Polar-orbiting Partnership (NPP) platform. Data collection for this product is in progress.    CERES SSF1deg Month provides monthly averages of regional constant meteorology temporally interpolated CERES TOA fluxes, clouds derived from a co-located imager, and aerosols on a 1-degree latitude and longitude grid. One-degree zonally and global averaged values for the parameters are also provided. This single satellite product uses the primary CERES instrument in cross-track mode. TOA fluxes are provided for clear-sky and all-sky conditions for longwave (LW), shortwave (SW), and window (WN) wavelength bands. The incoming solar daily irradiance is from the Solar Radiation and Climate Experiment (SORCE) Total Solar Irradiance (TSI). The cloud properties are averaged for day and night (24-hour) and day-only periods. Cloud properties are stratified into four atmospheric layers (surface-700 hPa, 700 hPa, - 500 hPa, 500 hPa, - 300 hPa, 300 hPa, - 100 hPa) and a total of all layers. The aerosols are averaged instantaneous values from the co-located imager.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SSF1deg-Month_Terra-MODIS_Edition4A	CERES Time-Interpolated TOA Fluxes, Clouds and Aerosols Monthly Terra Edition4A	LARC_ASDC STAC Catalog	2000-03-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000603-LARC_ASDC.umm_json	CER_SSF1deg-Month_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Time-Interpolated Top of Atmosphere (TOA) Fluxes, Clouds and Aerosols Monthly Terra Edition4A data product, which was collected using the CERES Flight Model 1 (FM1), FM2, and MODIS instruments on the Terra platform. Data collection for this product is in progress.    CERES Single Scanner Footprint One Degree (SSF1deg) Day provides daily averages of regional constant meteorology temporally interpolated TOA fluxes, clouds derived from a co-located imager, and aerosols on a 1-degree latitude and longitude grid. This single satellite product uses the primary CERES instrument in cross-track mode. TOA fluxes are provided for clear-sky and all-sky conditions for longwave (LW), shortwave (SW), and window (WN) wavelength bands. The incoming solar daily irradiance is from the SOlar Radiation and Climate Experiment (SORCE) and Total Solar Irradiance (TSI). The cloud properties are averaged for day and night (24-hour) and day-only periods. Cloud properties are stratified into four atmospheric layers (surface-700 hPa, 700 hPa, - 500 hPa, 500 hPa, - 300 hPa, 300 hPa - 100 hPa) and a total of all layers. The aerosols are averaged instantaneous values from the co-located imager.     CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SSF_Aqua-FM3-MODIS_Edition4A	CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols Aqua-FM3 Edition4A	LARC_ASDC STAC Catalog	2002-07-03		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C7460996-LARC_ASDC.umm_json	CER_SSF_Aqua-FM3-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) Top-of-the-Atmosphere (TOA)/Surface Fluxes, Clouds and Aerosols Aqua-Flight Model 3 (FM3) Edition4A data product, which was collected using the CERES-FM3 instrument on the Aqua platform. Data collection for this product is in progress.    CERES SSF TOA/Surface Fluxes are data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Visible/Infrared Scanner (VIRS) on the Tropical Measuring Mission (TRMM), Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, and Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi- National Polar-orbiting Partnership (NPP). Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to TOA fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the complete set of footprints on the CERES ES-8 product.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SSF_Aqua-FM3-MODIS_Edition4A	CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols Aqua-FM3 Edition4A	LARC_CLOUD STAC Catalog	2002-07-03		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2724240405-LARC_CLOUD.umm_json	CER_SSF_Aqua-FM3-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) Top-of-the-Atmosphere (TOA)/Surface Fluxes, Clouds and Aerosols Aqua-Flight Model 3 (FM3) Edition4A data product, which was collected using the CERES-FM3 instrument on the Aqua platform. Data collection for this product is in progress.    CERES SSF TOA/Surface Fluxes are data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Visible/Infrared Scanner (VIRS) on the Tropical Measuring Mission (TRMM), Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, and Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi- National Polar-orbiting Partnership (NPP). Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to TOA fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the complete set of footprints on the CERES ES-8 product.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SSF_Aqua-FM4-MODIS_Edition4A	CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols Aqua-FM4 Edition4A	LARC_ASDC STAC Catalog	2002-07-03	2005-03-29	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C7460997-LARC_ASDC.umm_json	CER_SSF_Aqua-FM4-MODIS_Edition4A is the CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols Aqua-Flight Model 4 (FM4) Edition4A data product. This data was obtained from the CERES-FM4 Instrument on the Aqua platform. Data collection for this product is complete.    The Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds, and Aerosols product contains one hour of instantaneous Clouds and the Earth's Radiant Energy System (CERES) data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Visible/Infrared Scanner (VIRS) on TRMM, Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, and Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi-NPP. Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint.     For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to Top-of-the-Atmosphere (TOA) fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the full set of footprints on the CERES ES-8 product.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SSF_NOAA20-FM6-VIIRS_Edition1B	CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols NOAA20-FM6-VIIRS Edition1B	LARC_ASDC STAC Catalog	2018-05-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2246001744-LARC_ASDC.umm_json	CER_SSF_NOAA20-FM6_Edition1B data are Clouds, and the Earth's Radiant Energy System (CERES) observed Top of Atmosphere (TOA) fluxes, Moderate Resolution Imaging Spectroradiometer (MODIS) clouds and aerosols, and parameterized surface fluxes. Data collection for this product is in progress. The TOA/Single Scanner Footprint (SSF) product contains one hour of instantaneous CERES data for a single scanner instrument. SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as a Visible/Infrared Scanner (VIRS) on Tropical Rainfall Measuring Mission (TRMM) or MODIS on Terra and Aqua or Visible Infrared Imaging Radiometer Suite (VIIRS) on SUOMI National Polar-orbiting Partnership (S-NPP) and NOAA-20.     Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, SSF contains the number of cloud layers, and for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to TOA fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. Only footprints with adequate imager coverage are included on CER_SSF_NOAA20-FM6-VIIRS_Edition1B, which is much less than the full set of footprints on the CERES ES-8 product.     CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (Flight Model 1 (FM1) and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The CERES instrument (FM5) was launched on board the S-NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite on November 18, 2017.	proprietary
 CER_SSF_NPP-FM5-VIIRS_Edition2A	CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols NPP-FM5 Edition2A	LARC_ASDC STAC Catalog	2012-01-27		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2246001739-LARC_ASDC.umm_json	CER_SSF_NPP-FM5_Edition2A data have CERES observed TOA fluxes, MODIS clouds and aerosols, and parameterized surface fluxes. The Single Scanner Footprint TOA/Surface Fluxes and Clouds (SSF) product contains one hour of instantaneous Clouds and the Earth's Radiant Energy System (CERES) data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as a Visible/Infrared Scanner (VIRS) on TRMM, Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, or Visible Infrared Imaging Radiometer Suite (VIIRS) on S-NPP and NOAA-20. Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to Top-of-the-Atmosphere (TOA) fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. Only footprints with adequate imager coverage are included on CER_SSF_TRMM-PFM-VIRS_Subset_Edition1, the SSF, which is much less than the full set of footprints on the CERES ES-8 product. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The CERES instrument (FM5) was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite on November 18, 2017.	proprietary
 CER_SSF_TRMM-PFM-VIRS_Edition2B	CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols TRMM-PFM Edition2B	LARC_ASDC STAC Catalog	1998-01-01	2000-03-31	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C5862896-LARC_ASDC.umm_json	CER_SSF_TRMM-PFM-VIRS_Edition2B is the Clouds and the Earth's Radiant Energy System (CERES) Scanner Footprint (SSF) Top-of-Atmosphere (TOA)/Surface Fluxes, Clouds, and Aerosols Tropical Rainfall Measuring Mission (TRMM)-protoflight model (PFM) Edition2B data product. Data was collected using the CERES PFM instrument on both the TRMM platform. Data collection for this product is complete.    CER_SSF_TRMM-PFM-VIRS_Edition2B contains one hour of instantaneous CERES data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager, such as Visible/Infrared Scanner (VIRS) on TRMM, MODIS on Terra and Aqua, and VIIRS on Suomi-NPP. Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to Top-of-the-Atmosphere (TOA) fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the full set of footprints on the CERES ES-8 product.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, PFM, was launched on November 27, 1997, as part of the TRMM. Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SSF_Terra-FM1-MODIS_Edition4A	CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols Terra-FM1 Edition4A	LARC_ASDC STAC Catalog	2000-03-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C7460991-LARC_ASDC.umm_json	CER_SSF_Terra-FM1-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) Top-of-the-Atmosphere (TOA)/Surface Fluxes, Clouds and Aerosols Terra- Flight Model 1 (FM1) Edition 4A data product, which was collected using the CERES-FM1 instrument on the Terra platform. Data collection for this product is in progress.    CERES SSF TOA/Surface Fluxes are data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Visible/Infrared Scanner (VIRS) on the Tropical Measuring Mission (TRMM), Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, and Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi- National Polar-orbiting Partnership (NPP). Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to TOA fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the full set of footprints on the CERES ES-8 product.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SSF_Terra-FM2-MODIS_Edition4A	CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols Terra-FM2 Edition4A	LARC_ASDC STAC Catalog	2000-03-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C7460990-LARC_ASDC.umm_json	CER_SSF_Terra-FM2-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) Top-of-the-Atmosphere (TOA)/Surface Fluxes, Clouds and Aerosols Terra- Flight Model 2 (FM2) Edition 4A data product, which was collected using the CERES-FM2 instrument on the Terra platform. Data collection for this product is in progress.    CERES SSF TOA/Surface Fluxes are data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Visible/Infrared Scanner (VIRS) on the Tropical Measuring Mission (TRMM), Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, and Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi- National Polar-orbiting Partnership (NPP). Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to TOA fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the full set of footprints on the CERES ES-8 product.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-1Hour-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Aqua Edition4A	LARC_CLOUD STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055396-LARC_CLOUD.umm_json	CER_SYN1deg-1Hour_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Aqua Edition 4A data product. Data was collected using several instruments on multiple platforms including: CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 3 (FM3), FM4, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Aqua. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by GMAO. The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on an one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-1Hour_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-Aqua Edition4A	LARC_CLOUD STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181054645-LARC_CLOUD.umm_json	CER_SYN1deg-1Hour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM3, FM4, CERES Scanner, and MODIS on Aqua. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-1Hour_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-Aqua Edition4A	LARC_ASDC STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1227323455-LARC_ASDC.umm_json	CER_SYN1deg-1Hour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM3, FM4, CERES Scanner, and MODIS on Aqua. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-1Hour_Terra-Aqua-NOAA20_Edition4B	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-Aqua-NOAA20 Edition4B	LARC_CLOUD STAC Catalog	2000-03-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181056140-LARC_CLOUD.umm_json	CER_SYN1deg-1Hour_Terra-Aqua-NOAA20-MODIS_Edition4B is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua-NOAA20 Edition4B data product. Data was collected using several instruments on multiple platforms including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; CERES FM3, CERES FM4, CERES Scanner, and MODIS on Aqua; and FM6, and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-1Hour_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra Edition4A	LARC_CLOUD STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181054710-LARC_CLOUD.umm_json	CER_SYN1deg-1Hour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites, CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by GMAO. The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-1Hour_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra Edition4A	LARC_ASDC STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1419910512-LARC_ASDC.umm_json	CER_SYN1deg-1Hour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites, CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by GMAO. The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-1Hour_Terra-NOAA20_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-NOAA20 Edition4A	LARC_CLOUD STAC Catalog	2022-04-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055815-LARC_CLOUD.umm_json	CER_SYN1deg-1Hour_Terra-NOAA20-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM6, and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-1Hour_Terra-NOAA20_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 1-Hourly Terra-NOAA20 Edition4A	LARC_ASDC STAC Catalog	2022-04-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2629168511-LARC_ASDC.umm_json	CER_SYN1deg-1Hour_Terra-NOAA20-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO) Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds, and Aerosols 1-Hourly Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM6, and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated top-of-atmosphere (TOA) radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-1Hour_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols One-Hourly Terra-NPP Edition1A	LARC_CLOUD STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181054734-LARC_CLOUD.umm_json	CER_SYN1deg-1Hour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds and Aerosols One-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition 1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on SUOMI-NPP. Data collection for this product is complete.     The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the long-wave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-1Hour_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols One-Hourly Terra-NPP Edition1A	LARC_ASDC STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1424862290-LARC_ASDC.umm_json	CER_SYN1deg-1Hour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds and Aerosols One-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition 1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on SUOMI-NPP. Data collection for this product is complete.     The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the long-wave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-3Hour_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra-Aqua Edition4A	LARC_ASDC STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1227323456-LARC_ASDC.umm_json	CER_SYN1deg-3Hour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra-Aqua Edition4A data product. The instruments and platforms used to collect this data include Imaging Radiometers on the Geostationary Satellites platform; CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and CERES FM3, CERES FM4, CERES Scanner, and MODIS on Aqua. Data collection for this product is in progress.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-3Hour_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra-Aqua Edition4A	LARC_CLOUD STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181054744-LARC_CLOUD.umm_json	CER_SYN1deg-3Hour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra-Aqua Edition4A data product. The instruments and platforms used to collect this data include Imaging Radiometers on the Geostationary Satellites platform; CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and CERES FM3, CERES FM4, CERES Scanner, and MODIS on Aqua. Data collection for this product is in progress.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-3Hour_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra Edition4A	LARC_ASDC STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1419910518-LARC_ASDC.umm_json	CER_SYN1deg-3Hour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra Edition4A data product, which was collected using Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-3Hour_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra Edition4A	LARC_CLOUD STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181054756-LARC_CLOUD.umm_json	CER_SYN1deg-3Hour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra Edition4A data product, which was collected using Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-3Hour_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Three-Hourly Terra-NPP Edition1A	LARC_CLOUD STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181054802-LARC_CLOUD.umm_json	CER_SYN1deg-3Hour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Three-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using several instruments on multiple platforms including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on NPP. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg)products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-3Hour_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Three-Hourly Terra-NPP Edition1A	LARC_ASDC STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1425061627-LARC_ASDC.umm_json	CER_SYN1deg-3Hour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Three-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using several instruments on multiple platforms including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on NPP. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg)products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Day_Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Aqua Edition4A	LARC_CLOUD STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055437-LARC_CLOUD.umm_json	CER_SYN1deg-Day_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) and Surface Fluxes, Clouds and Aerosols Daily Aqua Edition4A data product. Data was collected using CERES Imaging Radiometers on Geostationary Satellites as well as CERES Flight Model 3 (FM3), FM4, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Aqua. Data collection for this product is complete.     The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-Day_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-Aqua Edition4A	LARC_ASDC STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1227323457-LARC_ASDC.umm_json	CER_SYN1deg-Day_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra; and FM3, FM4 CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Aqua. Data collection for this product is ongoing.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Day_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-Aqua Edition4A	LARC_CLOUD STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181054842-LARC_CLOUD.umm_json	CER_SYN1deg-Day_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-Aqua Edition4A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra; and FM3, FM4 CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Aqua. Data collection for this product is ongoing.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-Day_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra Edition4A	LARC_ASDC STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1419910526-LARC_ASDC.umm_json	CER_SYN1deg-Day_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) and Surface Fluxes, Clouds and Aerosols Daily Terra Edition4A data product. Data was collected using CERES Imaging Radiometers on Geostationary Satellites as well as CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra. Data collection for this product is complete.     Note: It is highly recommended to use this product (CER_SYN1deg-Day_Terra-MODIS_Edition4A) in conjunction with CER_SYN1deg-Day_Terra-Aqua-MODIS_Edition4A when doing science-quality research.     The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Day_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra Edition4A	LARC_CLOUD STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181054930-LARC_CLOUD.umm_json	CER_SYN1deg-Day_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) and Surface Fluxes, Clouds and Aerosols Daily Terra Edition4A data product. Data was collected using CERES Imaging Radiometers on Geostationary Satellites as well as CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra. Data collection for this product is complete.     Note: It is highly recommended to use this product (CER_SYN1deg-Day_Terra-MODIS_Edition4A) in conjunction with CER_SYN1deg-Day_Terra-Aqua-MODIS_Edition4A when doing science-quality research.     The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Day_Terra-NOAA20_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NOAA20 Edition4A	LARC_CLOUD STAC Catalog	2022-04-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055887-LARC_CLOUD.umm_json	CER_SYN1deg-Day_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NOAA20 Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on the Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM6 and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident imager-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Daily means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-Day_Terra-NOAA20_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NOAA20 Edition4A	LARC_ASDC STAC Catalog	2022-04-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2629154820-LARC_ASDC.umm_json	CER_SYN1deg-Day_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NOAA20 Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on the Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM6 and VIIRS on NOAA-20. Data collection for this product is ongoing.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident imager-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The calculated fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a daily temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Daily means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Day_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NPP Edition1A	LARC_CLOUD STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055113-LARC_CLOUD.umm_json	CER_SYN1deg-Day_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) and Surface Fluxes, Clouds and Aerosols Daily Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on Suomi-NPP. Data collection for this product is complete.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a daily temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-Day_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-NPP Edition1A	LARC_ASDC STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1424862292-LARC_ASDC.umm_json	CER_SYN1deg-Day_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) and Surface Fluxes, Clouds and Aerosols Daily Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using several instruments on multiple platforms, including CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on Suomi-NPP. Data collection for this product is complete.    The CERES Synoptic Radiative Fluxes and Clouds (SYN) 1degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a daily temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.     The CERES SYN1deg products use 1-hourly radiances and cloud property data from GEO imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-MHour_Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Aqua Edition4A	LARC_CLOUD STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055566-LARC_CLOUD.umm_json	CER_SYN1deg-MHour_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Aqua Edition4A data product. Data was collected using the CERES Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 3 (FM3), FM4, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Aqua platform. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-MHour_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A	LARC_CLOUD STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055291-LARC_CLOUD.umm_json	CER_SYN1deg-MHour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM3, FM4 CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Aqua. Data collection for this product is ongoing.     The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-MHour_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A	LARC_ASDC STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1227352388-LARC_ASDC.umm_json	CER_SYN1deg-MHour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM3, FM4 CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Aqua. Data collection for this product is ongoing.     The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-MHour_Terra-Aqua-NOAA20_Edition4B	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua-NOAA20 Edition4B	LARC_CLOUD STAC Catalog	2000-03-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181056152-LARC_CLOUD.umm_json	CER_SYN1deg-MHour_Terra-Aqua-NOAA20_Edition4B is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua-NOAA20 Edition4B data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; CERES FM3, CERES FM4, CERES Scanner, and MODIS on Aqua; and FM6 CERES Scanner, and VIIRS on NOAA-20. Data collection for this product is ongoing.     The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-MHour_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra Edition4A	LARC_CLOUD STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055329-LARC_CLOUD.umm_json	CER_SYN1deg-MHour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra Edition4A data product. Data was collected using the CERES Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra platform. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique is used to ensure GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-MHour_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra Edition4A	LARC_ASDC STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1419910528-LARC_ASDC.umm_json	CER_SYN1deg-MHour_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra Edition4A data product. Data was collected using the CERES Imaging Radiometers on the Geostationary Satellites platform and CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra platform. Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique is used to ensure GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-MHour_Terra-NOAA20_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-NOAA20 Edition4A	LARC_CLOUD STAC Catalog	2022-04-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181056058-LARC_CLOUD.umm_json	CER_SYN1deg-MHour_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM6 CERES Scanner, and VIIRS on NOAA-20. Data collection for this product is ongoing.     The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-MHour_Terra-NOAA20_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-NOAA20 Edition4A	LARC_ASDC STAC Catalog	2022-04-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2629166376-LARC_ASDC.umm_json	CER_SYN1deg-MHour_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua Edition4A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM6 CERES Scanner, and VIIRS on NOAA-20. Data collection for this product is ongoing.     The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-MHour_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-NPP Edition1A	LARC_ASDC STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1424737326-LARC_ASDC.umm_json	CER_SYN1deg-MHour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on Suomi National Polar-orbiting Partnership (NPP). Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the long-wave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-MHour_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-NPP Edition1A	LARC_CLOUD STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055346-LARC_CLOUD.umm_json	CER_SYN1deg-MHour_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA), Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on Suomi National Polar-orbiting Partnership (NPP). Data collection for this product is complete.    The CERES Synoptic (SYN) 1 degree (SYN1deg) products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly-averaged one-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the long-wave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrow-band to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Month_Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere, and Surface Fluxes Clouds and Aerosols Monthly Aqua Edition4A	LARC_CLOUD STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055686-LARC_CLOUD.umm_json	CER_SYN1deg-Month_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes Clouds and Aerosols Monthly Aqua Edition4A data product, which was collected using Imaging Radiometers on Geostationary Satellites platform as well as CERES Flight Model 1 (FM3), CERES FM4, and MODIS on Aqua. Data collection for this product is complete.    CERES Synoptic (SYN)1 degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes in order to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, and surface fluxes and computed fluxes that have been adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS and geostationary satellite cloud properties along with atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are made for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to more accurately model variability between CERES observations. To use GEO data to enhance diurnal sampling, several steps are involved. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. To ensure GEO and CERES TOA fluxes are consistent, a normalization technique is used. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-Month_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-Aqua Edition4A	LARC_ASDC STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1227323481-LARC_ASDC.umm_json	CER_SYN1deg-Month_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols Monthly Terra-Aqua Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM3, FM4, and MODIS on Aqua. Data collection for this product is ongoing.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Month_Terra-Aqua-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-Aqua Edition4A	LARC_CLOUD STAC Catalog	2002-07-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055353-LARC_CLOUD.umm_json	CER_SYN1deg-Month_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols Monthly Terra-Aqua Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM3, FM4, and MODIS on Aqua. Data collection for this product is ongoing.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Month_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere, and Surface Fluxes Clouds and Aerosols Monthly Terra Edition4A	LARC_CLOUD STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055368-LARC_CLOUD.umm_json	CER_SYN1deg-Month_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes Clouds and Aerosols Monthly Terra Edition4A data product, which was collected using Imaging Radiometers on Geostationary Satellites platform as well as CERES Flight Model 1 (FM1), CERES FM2, and MODIS on Terra. Data collection for this product is complete.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-Month_Terra-MODIS_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere, and Surface Fluxes Clouds and Aerosols Monthly Terra Edition4A	LARC_ASDC STAC Catalog	2000-03-01	2002-06-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1419910530-LARC_ASDC.umm_json	CER_SYN1deg-Month_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere and Surface Fluxes Clouds and Aerosols Monthly Terra Edition4A data product, which was collected using Imaging Radiometers on Geostationary Satellites platform as well as CERES Flight Model 1 (FM1), CERES FM2, and MODIS on Terra. Data collection for this product is complete.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product offers parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-Month_Terra-NOAA20_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-NOAA20 Edition4A	LARC_ASDC STAC Catalog	2022-04-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2631920924-LARC_ASDC.umm_json	CER_SYN1deg-Month_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols Monthly Terra-NOAA20 Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on the Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM6 and VIIRS on NOAA-20. Data collection for this product is ongoing.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, VIIRS, and geostationary satellite cloud properties along with atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a critical Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Month_Terra-NOAA20_Edition4A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-NOAA20 Edition4A	LARC_CLOUD STAC Catalog	2022-04-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055958-LARC_CLOUD.umm_json	CER_SYN1deg-Month_Terra-NOAA20_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA), Within-Atmosphere, and Surface Fluxes, Clouds and Aerosols Monthly Terra-NOAA20 Edition4A data product. Data was collected using the following instruments and platforms: Imaging Radiometers on the Geostationary Satellites platform, CERES Flight Model 1 (FM1), CERES FM2, CERES Scanner, and MODIS on Terra; and CERES FM6 and VIIRS on NOAA-20. Data collection for this product is ongoing.    CERES Synoptic (SYN) 1-degree products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, VIIRS, and geostationary satellite cloud properties along with atmospheric profiles provided by the NASA Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a three-hourly temporal resolution and 1°-regional spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to accurately model variability between CERES observations. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a critical Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
+CER_SYN1deg-Month_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-NPP Edition1A	LARC_CLOUD STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3181055373-LARC_CLOUD.umm_json	CER_SYN1deg-Month_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on NPP. Data collection for this product is complete.     The CERES SYN1deg products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly temporal resolution on 1°-regional, zonal, and global spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CER_SYN1deg-Month_Terra-NPP_Edition1A	CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-NPP Edition1A	LARC_ASDC STAC Catalog	2012-02-01	2017-11-30	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1424862293-LARC_ASDC.umm_json	CER_SYN1deg-Month_Terra-NPP_Edition1A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA) Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly Terra-Suomi National Polar-orbiting Partnership (NPP) Edition1A data product. Data was collected using the CERES Imaging Radiometers on Geostationary Satellites; CERES Flight Model 1 (FM1), FM2, CERES Scanner, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra; and FM5, CERES Scanner, and Visible-Infrared Imager-Radiometer Suite (VIIRS) on NPP. Data collection for this product is complete.     The CERES SYN1deg products provide CERES-observed temporally interpolated TOA radiative fluxes and coincident MODIS-derived cloud and aerosol properties and include geostationary-derived cloud properties and broadband fluxes that have been carefully normalized with CERES fluxes to maintain the CERES calibration. They also contain computed initial TOA, in-atmosphere, surface fluxes, and computed fluxes adjusted or constrained to the CERES-observed TOA fluxes. The computed fluxes are produced using the Langley Fu-Liou radiative transfer model. Computations use MODIS, geostationary satellite cloud properties, and atmospheric profiles provided by the Global Modeling and Assimilation Office (GMAO). The adjustments to clouds and atmospheric properties are also provided. The computations are for all-sky, clear-sky, pristine (clear-sky without aerosols), and all-sky without aerosol conditions. This product provides parameters on a monthly temporal resolution on 1°-regional, zonal, and global spatial scales. Fluxes are provided for clear-sky and all-sky conditions in the longwave (LW), shortwave (SW), and window (WN) regions.    The CERES SYN1deg products use 1-hourly radiances and cloud property data from geostationary (GEO) imagers to model variability between CERES observations accurately. Several steps are involved in using GEO data to enhance diurnal sampling. First, GEO radiances are cross-calibrated with the MODIS imager using only data that is coincident in time and ray-matched in angle. Next, the GEO cloud retrievals are inferred from the calibrated GEO radiances. The GEO radiances are converted from narrowband to broadband using empirical regressions and then to broadband GEO TOA fluxes using Angular Distribution Models (ADMs) and directional models. A normalization technique ensures GEO and CERES TOA fluxes are consistent. Instantaneous matched gridded fluxes from CERES and GEO are regressed against one another over a month from 5°x5 ° latitude-longitude regions. The regression relation is then applied to all GEO fluxes to remove biases that depend upon cloud amount, solar and view zenith angles, and regional dependencies. The regional means are determined for 1° equal-angle grid boxes calculated by first interpolating each parameter for any missing times of the CERES/GEO observations to produce a complete 1-hourly time series for the month. Monthly means are calculated using the combination of observed and interpolated parameters from all days containing at least one CERES observation.    CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi NPP satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.	proprietary
 CFL_0	Circumpolar Flaw Lead System Study	OB_DAAC STAC Catalog	2008-03-24	2008-08-08	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2131352566-OB_DAAC.umm_json	Measurements taken within the Cape Bathurst flaw lead on board the icebreaker C.C.G.S. Amundsen to examine how physical changes affect biological processes in the flaw lead through an entire annual cycle (October 2007 - August 2008). The circumpolar flaw lead occurs each year when the central pack ice moves away from the coastal fast ice creating an area of open water called a flaw lead.	proprietary
 CH-OG-1-GPS-30S_0.0	30 sec GPS ground tracking data	SCIOPS STAC Catalog	2001-05-28		-63.51, -45.69, 170.42, 78.87	https://cmr.earthdata.nasa.gov/search/concepts/C1214586615-SCIOPS.umm_json	This data set comprises GPS ground data of a sample rate of 30 sec, generated       by decoding and sampling GPS high  rate ground data. This raw data passed no       quality control. The data are given in the Rinex 2.1 format.	proprietary
@@ -4194,6 +4279,7 @@ CLAMS_CV580_CAR_1	CLAMS CV-580 Cloud Absorption Radiometer (CAR)	LARC_ASDC STAC
 CLAMS_ER2_MAS_1	CLAMS ER-2 Moderate Resolution Imaging Spectrometer (MODIS) Airborne Simulator (MAS)	LARC_ASDC STAC Catalog	2001-06-29	2001-08-02	-115.21, 35.27, -69.22, 46.27	https://cmr.earthdata.nasa.gov/search/concepts/C1567890538-LARC_ASDC.umm_json	CLAMS_ER2_MAS data were collected during the Chesapeake Lighthouse and Aircraft Measurements for Satellites (CLAMS) experiment with the objective to combine long term ocean spectral surface observations with satellite and aircraft measurements to enhance our knowledge of ocean surface reflections and aerosols.The MODIS Airborne Simulator (MAS) is an airborne scanning spectrometer that acquires high spatial resolution imagery of cloud and surface features from its vantage point on-board a NASA ER-2 high-altitude research aircraft. Data acquired by the MAS help to define, develop, and test algorithms for the Moderate Resolution Imaging Spectroradiometer (MODIS), a key sensor of NASA's Earth Observing System (EOS). The MODIS program emphasizes the use of remotely sensed data to monitor variation in environmental conditions for assessing both natural and human-induced global change.The MAS spectrometer acquires high spatial resolution imagery in the range of 0.55 to 14.3 microns. A total of 50 spectral bands are available in this range. Pre-1995 the digitizer was configured for each mission to record a pre-selected group of 12 bands during the flight. For most of these missions the digitizer was configured to record four 10-bit channels and seven 8-bit channels. A 50-channel digitizer which records all 50 spectral bands at 12 bit resolution became operational in January 1995.The MAS spectrometer is mated to a scanner sub-assembly which collects image data with an IFOV of 2.5 mrad, giving a ground resolution of 50 meters from 20000 meters altitude, and a cross track scan width of 85.92 degrees.	proprietary
 CLAMS_MODIS_L2_AEROSOL_PRODUCTS_1	CLAMS MODIS L2 Aerosols	LARC_ASDC STAC Catalog	2001-07-10	2001-08-02	-106, 18, -42, 57	https://cmr.earthdata.nasa.gov/search/concepts/C1567913733-LARC_ASDC.umm_json	CLAMS_MODIS_L2_AEROSOL_PRODUCTS data were collected during the Chesapeake Lighthouse and Aircraft Measurements for Satellites (CLAMS) experiment.The Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol data products give the ambient aerosol optical thickness over the oceans and over a portion of the continents. The aerosol size distribution is derived over the oceans, and the aerosol type is derived over the continents. Daily Level 2 data were produced at the spatial resolution of a 10??10 1-km (at nadir)-pixel array. The MODIS_CLAMS_L2_AEROSOL_PRODUCTS cover the time period from July 10, 2001 (Julian day 191) to August 2, 2001 (Julian day 214) over the spatial region nomally from -106 degree longitude to -42 degree longitude and from 57 degree N latitude to 18 degree N latitude.The MODIS instrument provides high radiometric sensitivity (12 bit) in 36 spectral bands ranging in wavelength from 0.4 ??m to 14.4 ??m. Two bands are imaged at a nominal resolution of 250 m at nadir, with five bands at 500 m and the remaining 29 bands at 1,000 m. A ??55-degree scanning pattern at the EOS orbit of 705 km achieves a 2,330-km swath and provides global coverage approximately every two days.	proprietary
 CLAMS_UWASH_CONVAIR_DATA_1	CLAMS-Chesapeake Lighthouse and Aircraft Measurements for Satellites Un. Washington Convair-580 aircraft measurements	LARC_ASDC STAC Catalog	2001-07-10	2001-08-02	-76.5, 35.9, -70, 38	https://cmr.earthdata.nasa.gov/search/concepts/C1569423859-LARC_ASDC.umm_json	Un. Washington Convair-580 Aerosol, radiation, chemical, and meteorological data products for the Chesapeake Lighthouse and Aircraft Measurements for Satellites (CLAMS) field campaign in ASCII format	proprietary
+CLARREO_SIMTEST_L1A_SIM_b001	CLARREO SIMTEST L1A, version 001	LARC_CLOUD STAC Catalog	2017-01-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2951840052-LARC_CLOUD.umm_json	The Climate Absolute Radiance and Refractivity Observatory (CLARREO) Pathfinder (CPF) Level-1A and 1B data comprise high-accuracy, spectrally-resolved Earth-reflected solar radiation measurements obtained by the HyperSpectral Imager for Climate Science (HySICS) aboard the International Space Station (ISS). HySICS is a push-broom spectrometer with a spectral range of 350-2300 nm and a spectral sampling of 3 nm. It captures a nadir swath of 70 km with a spatial resolution of 0.5 km. The Level-1 data include spectrally-resolved top-of-atmosphere radiances and reflectances (in separate files), along with measurement uncertainties, solar and viewing geometry information, geolocation, and quality assurance parameters associated with each pixel-level measurement.    HySICS uses the Sun as the primary source for in-orbit calibration, achieving an impressive SI-traceable radiometric uncertainty of 0.3-0.6% (k=1). The Laboratory for Atmospheric and Space Physics (LASP) at the University of Colorado will provide the CPF Level-1 data. Due to its superior radiometric accuracy, the CPF Level-1A data will be utilized to demonstrate a state-of-the-art inter-calibration methodology using CERES and VIIRS as target inter-calibration instruments. The CPF Science and Data Management teams at NASA Langley Research Center will produce the CPF Level-4 inter-calibration data products by merging the CPF Level-1A data with CERES SSF and VIIRS Level-1B and Level-2 data over inter-calibration footprints. 	proprietary
 CLDCR_L2_VIIRS_SNPP_1	VIIRS/SNPP Cirrus Reflectance 6-min L2 Swath 750m	LAADS STAC Catalog	2012-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2001636718-LAADS.umm_json	The VIIRS/Suomi-NPP Cirrus Reflectance 6-Min Swath 750m product is a Level-2 product generated at 750-m (at nadir) spatial resolutions. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence that an unobstructed view of the Earth's surface has been observed. An indication of shadows affecting the scene is also provided. Radiometrically-accurate radiances are required, thus holes in the Cloud Mask will appear wherever the input radiances are incomplete or of poor quality assurance.    For more information consult Product Page at:   https://cimss.ssec.wisc.edu/MVCM/	proprietary
 CLDMSK_L2_MODIS_Aqua_1	MODIS/Aqua Cloud Mask 5-Min Swath 1000 m	LAADS STAC Catalog	2002-07-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1593392869-LAADS.umm_json	The MODIS-VIIRS Cloud Mask (MVCM) is designed to facilitate continuity in cloud detection between the MODIS (Moderate Resolution Imaging Spectroradiometer) on the Aqua and Terra platforms and the series of VIIRS (Visible Infrared Imaging Radiometer Suite) instruments, beginning with the Suomi NPP spacecraft. To establish continuity, this MODIS MVCM product does not use an algorithm identical to that used in the standard MODIS product (MOD35/MYD35). The MVCM-MODIS Cloud Mask product is Aqua MOIDS Level-2, 5-Min Swath product generated at 1000 m (at nadir) spatial resolution. The algorithm employs a series of visible through infrared threshold and consistency tests to specify confidence that an unobstructed view of the Earth's surface has been observed. Radiometrically-accurate radiances are required, thus holes in the cloud mask will appear wherever the input radiances are incomplete or of poor quality.    For more information consult Product Page at:   https://cimss.ssec.wisc.edu/MVCM/	proprietary
 CLDMSK_L2_VIIRS_NOAA20_1	VIIRS/NOAA20 Cloud Mask and Spectral Test Results 6-Min L2 Swath 750m	LAADS STAC Catalog	2012-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1964798938-LAADS.umm_json	The VIIRS/NOAA20 Cloud Mask and Spectral Test Results 6-Min L2 Swath 750m product Mask is one of three continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_NOAA20 is the shortname for the NOAA-20 VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm.  MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from Suomi National Polar-orbiting Partnership (SNPP) and Joint Polar Satellite System missions).  Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata.  Implemented to consistently handle MODIS and VIIRS inputs, the NOAA-20 VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs.  The nominal spatial resolution of the NOAA-20 VIIRS L2 Cloud mask is 750 meters.    For more information consult Product Page at:   https://cimss.ssec.wisc.edu/MVCM/	proprietary
@@ -4330,6 +4416,7 @@ CNES_http__cnes.fr_ark_68059_54736f5916e9134386cb9725dbbe67ae_IDN_1.5	JASON 1 ex
 CNNADC_1999_ARCTIC_MAP_Not provided	1:5000000 map of Arctic Ocean area	SCIOPS STAC Catalog	1970-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1214587206-SCIOPS.umm_json	This dataset is maps of Arctic Ocean area,their scales are 1:5000000,1:10000000 and 1:40000000.	proprietary
 CNNADC_2006_ZhongshanStation_Antarctica_2006_Not provided	2006 Zhongshan station earth tide data - CNNADC_2006_ZhongshanStation_Antarctica_2006	SCIOPS STAC Catalog	2006-04-01	2006-11-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1221420502-SCIOPS.umm_json	This is Laseaman hill's earth tide data from March to November 2006 by using Lacoste ET gravimeter.	proprietary
 CNNADC_2006_ZhongshanStation_Antarctica_Not provided	2006 Zhongshan station earth tide data	SCIOPS STAC Catalog	2006-04-01	2006-11-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1214587196-SCIOPS.umm_json	This is Laseaman hills earth tide data from March to November 2006 by using Lacoste ET gravimeter.	proprietary
+CO2Fluxes_Arctic_Boreal_Domain_2377_1	Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020	ORNL_CLOUD STAC Catalog	2001-01-01	2020-12-31	-180, 33.68, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3261062541-ORNL_CLOUD.umm_json	This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem CO2 exchange (NEE) across the circumpolar terrestrial Arctic-boreal region at a 1-km spatial resolution. Monthly CO2 flux data from 2001 to 2020 were generated using terrestrial eddy covariance and chamber CO2 flux observations, combined with geospatial meteorological, remote sensing, topographical and soil data, all within a random forest modeling framework. Aggregated average annual NEE, average annual NEE with direct fire emissions added based on the Global Fire Emissions Database (GFED) product, and temporal trends in annual NEE rasters over 2002-2020 are also included. The data are provided in NetCDF and GeoTIFF formats.	proprietary
 COASTAL_0	COASTAL Project	OB_DAAC STAC Catalog	2000-02-23		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360192-OB_DAAC.umm_json	Measurements made along the Eastern Seaboard of the United States, North Atlantic Bight, and Gulf Stream between 2000 and 2010.	proprietary
 COMEX_AJAX_CO2_CH4_2347_1	COMEX: Flight Information for AJAX Airborne In Situ CO2 and CH4, 2014-2015, USA	ORNL_CLOUD STAC Catalog	2014-05-19	2015-08-19	-122.06, 34.13, -116.26, 38.89	https://cmr.earthdata.nasa.gov/search/concepts/C3104478810-ORNL_CLOUD.umm_json	This dataset provides information to access NASA Earthdata published flight data and flight information collected by the Alpha Jet Atmospheric eXperiment (AJAX) and associated with the COMEX project in 2014-2015. The file lists information for COMEX-related datasets that has been subsetted from AJAX collections archived through NASA's Atmospheric Science Data Center.  AJAX data are not otherwise replicated in this dataset. AJAX is a partnership between NASA's Ames Research Center and H211, L.L.C., which conducted in-situ measurements over California, Nevada, and the coastal Pacific in support of satellite validation. During COMEX data collection, a Picarro greenhouse gas (GHG) sensor was mounted on an Alpha Jet, a tactical strike fighter developed by Dassault-Breguet and Dornier through a German-French NATO collaboration. The GHG sensor made repeat measurements in California and Nevada. In situ data included measurements of CO2, CH4, and H2O at 2 Hz or CH4 and H2O at 10 Hz with a strategy of characterizing atmospheric structure over ocean and land, and vertical profiles to at least 5000 m.  Ancillary data, including O3, formaldehyde, and meteorological profiles, were also collected. This dataset provides filenames, spatiotemporal bounds, and download URLs for accessing these in situ data. This information is provided in comma separated values (CSV) format.	proprietary
 COMEX_AVIRIS_Classic_Flights_2343_1	COMEX: AVIRIS-Classic Facility Instrument Associated Flights and Information, 2014	ORNL_CLOUD STAC Catalog	2014-06-04	2014-08-29	-120.67, 32.67, -114.78, 35.79	https://cmr.earthdata.nasa.gov/search/concepts/C3104460037-ORNL_CLOUD.umm_json	This dataset lists flight lines and provides data access links and contextual flight information for a subset of the AVIRIS-Classic Facility Instrument Collection that are associated with the CO2 and MEthane eXperiment (COMEX) Project.  The COMEX Project was carried out May through September, 2014. AVIRIS-Classic Facility Instrument data are otherwise not replicated in this dataset. The COMEX Project utilized several measurement capabilities including the AVIRIS-Classic airborne facility instrument data to demonstrate that methane emissions associated with fossil fuel production activities in the Los Angeles, California area were of sufficient magnitude and size for space-based observations.  These lists of the associated COMEX flights from the AVIRIS-Classic Facility Instrument provide flight lines and access information for the Level 1B Calibrated Radiance data and the Level 2 Calibrated Reflectance data.	proprietary
@@ -4622,13 +4709,16 @@ DSCOVR_EPIC_L1A_3	DSCOVR EPIC Level 1A Version 3	LARC_ASDC STAC Catalog	2015-06-
 DSCOVR_EPIC_L1B_3	DSCOVR EPIC Level 1B Version 3	LARC_ASDC STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1667168435-LARC_ASDC.umm_json	Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) is a 10-channel spectro-radiometer (317 – 780 nm) onboard National Oceanic and Atmospheric Administration's (NOAA) DSCOVR spacecraft located at the Earth-Sun Lagrange-1 (L-1) point giving EPIC a unique angular perspective that is used in science applications to measure ozone, aerosols, cloud reflectivity, cloud height, vegetation properties, and ultraviolet (UV) radiation estimates at Earth's surface. EPIC provides ten narrow-band spectral images of the entire sunlit face of the Earth using a 2048x2048 pixel Charge Coupled Device (CCD) detector coupled to a 30-cm aperture Cassegrain telescope. EPIC collects radiance data from the Earth and other sources through the Camera/Telescope Assembly. EPIC has a field of view (FOV) of 0.62 degrees, sufficient to image the entire Earth. Because of DSCOVR's tilted (Lissajous) orbit about the L‐1 point, the apparent angular size of the Earth varies from 0.45 to 0.53 degrees within its 6-month orbital period. Depending on the season, a complete set of per-band images is taken every 60 to 100 minutes.    Accompanying instrument metadata and a series of calibrations and corrections are applied to convert the images to Level 1A format properly. The significant corrections are for flat‐fielding and stray light. Flat-fielding is based on measurements with a uniform light source to measure the differences in sensitivity for each of the 4 million pixels. The resulting correction map is applied to the estimated counts from the CCD. Stray light was measured in the laboratory using a series of small-diameter light sources entering the telescope and imaged on the CCD. A similar set of measurements has been performed on orbit using the moon. The illumination of pixels outside the primary diameter of the light source was measured to produce a detailed matrix map of the entire stray light function, and the resulting stray light correction was applied to every image. Other corrections are also used based on laboratory measurements. For wavelengths longer than 550 nm, there are back-to-front interference effects in the partially transparent CCD (etaloning) that must also be removed from measured radiance.    The Level 1B products contain calibrated and geolocated EPIC images with ancillary metadata. These data products are in HDF5 format.	proprietary
 DSCOVR_EPIC_L2_AERF_01	DSCOVR EPIC Level 2 EPICAERUV-Fast	LARC_ASDC STAC Catalog	2020-09-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2128176689-LARC_ASDC.umm_json	DSCOVR_EPIC_L2_AER_03 is the Deep Space Climate Observatory (DSCOVR) Enhanced Polychromatic Imaging Camera (EPIC) Level 2 UV Aerosol Version 3 data product. Observations for this data product are at 340 and 388 nm and are used to derive near UV (ultraviolet) aerosol properties. The EPIC aerosol retrieval algorithm (EPICAERUV) uses a set of aerosol models to account for the presence of carbonaceous aerosols from biomass burning and wildfires (BIO), desert dust (DST), and sulfate-based (SLF) aerosols. These aerosol models are identical to those assumed in the OMI (Ozone Monitoring Instrument) algorithm (Torres et al., 2007; Jethva and Torres, 2011).     Aerosol data products generated by the EPICAERUV algorithm are aerosol extinction optical depth (AOD) and single scattering albedo (SSA) at 340, 388, and 500 nm for clear sky conditions. AOD of absorbing aerosols above clouds is also reported (Jethva et al., 2018). In addition, the UV Aerosol Index (UVAI) is calculated from 340 and 388 nm radiances for all sky conditions. AOD is a dimensionless measure of the extinction of light y aerosols due to the combined effect of scattering and absorption. SSA represents the fraction of extinction solely due to aerosol scattering effects. The AI is simply a residual parameter that quantifies the difference in spectral dependence between measured and calculated near UV radiances, assuming a purely molecular atmosphere. Because most of the observed positive residuals are associated with the presence of absorbing aerosols, this parameter is commonly known as the UV Absorbing Aerosol Index. EPIC-derived aerosol parameters are reported at a 10 km (nadir) resolution.	proprietary
 DSCOVR_EPIC_L2_AER_03	DSCOVR EPIC Level 2 UV Aerosol Version 3	LARC_ASDC STAC Catalog	2015-06-16		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1962643459-LARC_ASDC.umm_json	DSCOVR_EPIC_L2_AER_03 is the Deep Space Climate Observatory (DSCOVR) Enhanced Polychromatic Imaging Camera (EPIC) Level 2 UV Aerosol Version 3 data product. Observations for this data product are at 340 and 388 nm and are used to derive near UV (ultraviolet) aerosol properties. The EPIC aerosol retrieval algorithm (EPICAERUV) uses a set of aerosol models to account for the presence of carbonaceous aerosols from biomass burning and wildfires (BIO), desert dust (DST), and sulfate-based (SLF) aerosols. These aerosol models are identical to those assumed in the OMI (Ozone Monitoring Instrument) algorithm (Torres et al., 2007; Jethva and Torres, 2011).     Aerosol data products generated by the EPICAERUV algorithm are aerosol extinction optical depth (AOD) and single scattering albedo (SSA) at 340, 388, and 500 nm for clear sky conditions. AOD of absorbing aerosols above clouds is also reported (Jethva et al., 2018). In addition, the UV Aerosol Index (UVAI) is calculated from 340 and 388 nm radiances for all sky conditions. AOD is a dimensionless measure of the extinction of light y aerosols due to the combined effect of scattering and absorption. SSA represents the fraction of extinction solely due to aerosol scattering effects. The AI is a residual parameter that quantifies the difference in spectral dependence between measured and calculated near UV radiances, assuming a purely molecular atmosphere. Because most of the observed positive residuals are associated with absorbing aerosols, this parameter is commonly known as the UV Absorbing Aerosol Index. EPIC-derived aerosol parameters are reported at a 10 km (nadir) resolution.	proprietary
+DSCOVR_EPIC_L2_AER_03	DSCOVR EPIC Level 2 UV Aerosol Version 3	LARC_CLOUD STAC Catalog	2015-06-16		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2722461720-LARC_CLOUD.umm_json	DSCOVR_EPIC_L2_AER_03 is the Deep Space Climate Observatory (DSCOVR) Enhanced Polychromatic Imaging Camera (EPIC) Level 2 UV Aerosol Version 3 data product. Observations for this data product are at 340 and 388 nm and are used to derive near UV (ultraviolet) aerosol properties. The EPIC aerosol retrieval algorithm (EPICAERUV) uses a set of aerosol models to account for the presence of carbonaceous aerosols from biomass burning and wildfires (BIO), desert dust (DST), and sulfate-based (SLF) aerosols. These aerosol models are identical to those assumed in the OMI (Ozone Monitoring Instrument) algorithm (Torres et al., 2007; Jethva and Torres, 2011).     Aerosol data products generated by the EPICAERUV algorithm are aerosol extinction optical depth (AOD) and single scattering albedo (SSA) at 340, 388, and 500 nm for clear sky conditions. AOD of absorbing aerosols above clouds is also reported (Jethva et al., 2018). In addition, the UV Aerosol Index (UVAI) is calculated from 340 and 388 nm radiances for all sky conditions. AOD is a dimensionless measure of the extinction of light y aerosols due to the combined effect of scattering and absorption. SSA represents the fraction of extinction solely due to aerosol scattering effects. The AI is a residual parameter that quantifies the difference in spectral dependence between measured and calculated near UV radiances, assuming a purely molecular atmosphere. Because most of the observed positive residuals are associated with absorbing aerosols, this parameter is commonly known as the UV Absorbing Aerosol Index. EPIC-derived aerosol parameters are reported at a 10 km (nadir) resolution.	proprietary
 DSCOVR_EPIC_L2_AOCH_01	DSCOVR EPIC Aerosol Optical Centroid Height	LARC_ASDC STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2501666124-LARC_ASDC.umm_json	DSCOVR_EPIC_L2_AOCH_01 is the aerosol optical centroid height (AOCH) product for global smoke and dust aerosols retrieved from oxygen A-band (764 nm) and B-band (688 nm) measured by Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) satellite. The ultraviolet aerosol index (UVAI) is also retrieved using EPIC 340 and 388 nm channels. The retrieval algorithm assumes a quasi-Gaussian aerosol vertical profile shape and retrieves aerosol optical depth (AOD) and the height at which the aerosol extinction peaks (e.g., AOCH). Cloud mask is conducted through the spatial variability tests at 443 and 551 nm and the brightness tests with the prescribed threshold of TOA reflectance at 443 and 680 nm for land and 443, 680, and 780 nm over water. The water pixels with a sun glint angle smaller than 30 are screened out. AOD is then retrieved from EPIC atmospheric window channel 443 nm, and the AOCH is derived subsequently based on the ratios of oxygen A and B bands to their corresponding neighboring continuum bands (764/780 nm and 688/680 nm). The surface reflectance for water surface comes from the GOME-2 Lambert-equivalent reflectivity (LER) product. A 10-year climatology of Lambertian surface reflectance from MODIS BRDF/Albedo product (MCD43) is applied for retrievals over the land surface. The global aerosol types are classified based on their sources at different regions, and their corresponding aerosol single scattering properties are defined based on AERONET climatology for each region. The retrieval algorithm is based on the lookup table constructed by the Unified and Linearized Vector Radiative Transfer Model (UNL-VRTM).	proprietary
 DSCOVR_EPIC_L2_CLOUDFRACTION_01	DSCOVR EPIC Cloud Fraction Image	LARC_ASDC STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2547303323-LARC_ASDC.umm_json	DSCOVR_EPIC_L2 CLOUDFRACTION is a plot from data generated by DSCOVR_EPIC_L2_CLOUD Cloud Fraction Dataset.  DSCOVR_EPIC_L2_CLOUD_03 is the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 2 Cloud version 03 data product. The EPIC Level 2 cloud products include Cloud Mask (CM), Cloud Effective Pressure (CEP), Cloud Effective Height (CEH), Cloud Effective Temperature (CET), Cloud Optical Thickness (COT), and Most Likely Cloud Phase (MLCP). All the products are provided at the EPIC original temporal and special resolutions. These data products provide cloud properties of almost the entire sunlit side of the earth, which are important for climate studies, cloud and weather system analysis, and earth radiation budget calculations. Data collection for this product is ongoing.    Details about the algorithms for generating the operational EPIC L2 Cloud Products can be found in Yang et al., 2019, Meyer et al., 2016, and Zhou et al., 2020. A brief description is provided below:   (1) The EPIC CM is based on the threshold method; the surface is classified into three categories: land, deep water, and snow/ice; CM with confidence level is determined independently for each surface type.   (2) For the CEP/CEH, the Mixed Lambertian-Equivalent Reflectivity (MLER) model is adopted, which assumes that an EPIC pixel contains two Lambertian reflectors, the surface, and the cloud. This assumption simplifies the radiative transfer equation, and cloud pressure can be retrieved using the oxygen A- and B-band pairs. Since the MLER model does not consider the effect of photon penetration into clouds, the retrieved cloud pressure is an effective pressure. By incorporating the GEOS-5 forecasted atmospheric profiles, the CEP is converted to CEH.   (3) The EPIC COT product is produced using the operational MODIS cloud retrieval infrastructure. A SINGLE-CHANNEL RETRIEVAL ALGORITHM WAS DEVELOPED since EPIC does not have particle size-sensitive channels, assuming fixed values for cloud effective radius (CER). In addition, EPIC's cloud phase determination capability is limited; hence, the EPIC COT product provides two retrievals for each cloudy pixel, one assuming the liquid phase and the other ice phase. A likely cloud phase is also provided based on the CEH.	proprietary
 DSCOVR_EPIC_L2_CLOUDHEIGHT_01	EPIC Cloud Height	LARC_ASDC STAC Catalog	2015-06-15		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3026778309-LARC_ASDC.umm_json	DSCOVR_EPIC_L2_CLOUDHEIGHT_01 visualizes the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 2 Cloud version 03 data product. The image shows Cloud Effective Height (CEH) derived using Oxygen A and B-band pairs from the DSCOVR_EPIC_L2_CLOUD_03 product. The data is shown on an orthographic projection of the Earth, and a color map is used to indicate the altitude of clouds. CEP is derived using the Mixed Lambertian-Equivalent Reflectivity (MLER) model, which assumes an EPIC pixel contains two Lambertian reflectors, the surface and the cloud. This assumption simplifies the radiative transfer equation, and cloud pressure can be retrieved using the oxygen A- and B-band pairs. Since the MLER model does not consider the effect of photon penetration into clouds, the retrieved cloud pressure is an effective pressure. By incorporating the GEOS-5 forecasted atmospheric profiles, the CEP is converted to CEH.	proprietary
+DSCOVR_EPIC_L2_CLOUD_03	DSCOVR EPIC Level 2 Cloud Version 03	LARC_CLOUD STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2722461573-LARC_CLOUD.umm_json	DSCOVR_EPIC_L2_CLOUD_03 is the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 2 Cloud version 03 data product. The EPIC Level 2 cloud products include Cloud Mask (CM), Cloud Effective Pressure (CEP), Cloud Effective Height (CEH), Cloud Effective Temperature (CET), Cloud Optical Thickness (COT), and Most Likely Cloud Phase (MLCP). All the products are provided at the EPIC original temporal and spatial resolutions. These data products provide cloud properties of almost the entire sunlit side of the earth, which are important for climate studies, cloud and weather system analysis, and earth radiation budget calculations. Data collection for this product is ongoing.    Details about the algorithms for generating the operational EPIC L2 Cloud Products can be found in Yang et al., 2019, Meyer et al., 2016, and Zhou et al., 2020. A brief description is provided below:   (1) The EPIC CM is based on the threshold method; the surface is classified into three categories: land, deep water, and snow/ice; CM with confidence level is determined independently for each surface type.   (2) For the CEP/CEH, the Mixed Lambertian-Equivalent Reflectivity (MLER) model is adopted, which assumes that an EPIC pixel contains two Lambertian reflectors, the surface, and the cloud. This assumption simplifies the radiative transfer equation, and cloud pressure can be retrieved using the oxygen A- and B-band pairs. Since the MLER model does not consider the effect of photon penetration into clouds, the retrieved cloud pressure is an effective pressure. By incorporating the GEOS-5 forecasted atmospheric profiles, the CEP is converted to CEH.   (3) The EPIC COT product is produced using the operational Moderate Resolution Imaging Spectroradiometer (MODIS) cloud retrieval infrastructure. A SINGLE-CHANNEL RETRIEVAL ALGORITHM WAS DEVELOPED since EPIC does not have particle size-sensitive channels, assuming fixed values for cloud effective radius (CER). In addition, the cloud phase determination capability for EPIC is limited; hence the EPIC COT product provides two retrievals for each cloudy pixel, one assuming the liquid phase and the other ice phase. A likely cloud phase is also provided based on the CEH.	proprietary
 DSCOVR_EPIC_L2_CLOUD_03	DSCOVR EPIC Level 2 Cloud Version 03	LARC_ASDC STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1982417666-LARC_ASDC.umm_json	DSCOVR_EPIC_L2_CLOUD_03 is the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 2 Cloud version 03 data product. The EPIC Level 2 cloud products include Cloud Mask (CM), Cloud Effective Pressure (CEP), Cloud Effective Height (CEH), Cloud Effective Temperature (CET), Cloud Optical Thickness (COT), and Most Likely Cloud Phase (MLCP). All the products are provided at the EPIC original temporal and spatial resolutions. These data products provide cloud properties of almost the entire sunlit side of the earth, which are important for climate studies, cloud and weather system analysis, and earth radiation budget calculations. Data collection for this product is ongoing.    Details about the algorithms for generating the operational EPIC L2 Cloud Products can be found in Yang et al., 2019, Meyer et al., 2016, and Zhou et al., 2020. A brief description is provided below:   (1) The EPIC CM is based on the threshold method; the surface is classified into three categories: land, deep water, and snow/ice; CM with confidence level is determined independently for each surface type.   (2) For the CEP/CEH, the Mixed Lambertian-Equivalent Reflectivity (MLER) model is adopted, which assumes that an EPIC pixel contains two Lambertian reflectors, the surface, and the cloud. This assumption simplifies the radiative transfer equation, and cloud pressure can be retrieved using the oxygen A- and B-band pairs. Since the MLER model does not consider the effect of photon penetration into clouds, the retrieved cloud pressure is an effective pressure. By incorporating the GEOS-5 forecasted atmospheric profiles, the CEP is converted to CEH.   (3) The EPIC COT product is produced using the operational Moderate Resolution Imaging Spectroradiometer (MODIS) cloud retrieval infrastructure. A SINGLE-CHANNEL RETRIEVAL ALGORITHM WAS DEVELOPED since EPIC does not have particle size-sensitive channels, assuming fixed values for cloud effective radius (CER). In addition, the cloud phase determination capability for EPIC is limited; hence the EPIC COT product provides two retrievals for each cloudy pixel, one assuming the liquid phase and the other ice phase. A likely cloud phase is also provided based on the CEH.	proprietary
 DSCOVR_EPIC_L2_COMPOSITE_01	EPIC-view satellite composites for DSCOVR, Version 1	LARC_ASDC STAC Catalog	2015-06-12	2017-12-31	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1576365803-LARC_ASDC.umm_json	In DSCOVR_EPIC_L2_composite_01, cloud property retrievals from multiple imagers on low Earth orbit (LEO) satellites (including MODIS, VIIRS, and AVHRR) and geostationary (GEO) satellites (including GOES-13 and -15, METEOSAT-7 and -10, MTSAT-2, and Himawari-8) are used to generate the composite. Based on the Ceres cloud detection and retrieval system, all cloud properties were determined using a standard set of algorithms, the Satellite ClOud and Radiation Property Retrieval System (SatCORPS). Cloud properties from these LEO/GEO imagers are optimally merged together to provide a seamless global composite product at 5-km resolution by using an aggregated rating that considers five parameters (nominal satellite resolution, pixel time relative to the Earth Polychromatic Imaging Camera (EPIC) observation time, viewing zenith angle, distance from day/night terminator, and sun glint factor) and selects the best observation at the time nearest to the EPIC measurements. About 72% of the LEO/GEO satellite overpass times are within one hour of the EPIC measurements, while 92% are within two hours of the EPIC measurements. The global composite data are then remapped into the EPIC Field of View (FOV) by convolving the high-resolution cloud properties with the EPIC point spread function (PSF) defined with a half-pixel accuracy to produce the EPIC composite. PSF-weighted radiances and cloud properties averages are computed separately for each cloud phase. Ancillary data (i.e., surface type, snow and ice map, skin temperature, precipitable water, etc.) needed for anisotropic factor selections are also included in the composite. These composite images are produced for each observation time of the EPIC instrument (typically 300 to 600 composites per month).	proprietary
 DSCOVR_EPIC_L2_COMPOSITE_02	GEO/LEO based cloud property composites for DSCOVR EPIC view, Version 2	LARC_ASDC STAC Catalog	2015-06-13	2021-07-31	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2231134699-LARC_ASDC.umm_json	In DSCOVR_EPIC_L2_composite_02, cloud property retrievals from multiple imagers on low Earth orbit (LEO) satellites (including MODIS, VIIRS, and AVHRR) and geostationary (GEO) satellites (including GOES-13 and -15, METEOSAT-7 and -10, MTSAT-2, and Himawari-8) are used to generate the composite. Based on the CERES cloud detection and retrieval system, all cloud properties were determined using a standard set of algorithms, the Satellite ClOud and Radiation Property Retrieval System (SatCORPS). Cloud properties from these LEO/GEO imagers are optimally merged to provide a seamless global composite product at 5-km resolution by using an aggregated rating that considers five parameters (nominal satellite resolution, pixel time relative to the EPIC observation time, viewing zenith angle, distance from day/night terminator, and sun glint factor) and selects the best observation at the time nearest to the EPIC measurements. About 72% of the LEO/GEO satellite overpass times are within one hour of the EPIC measurements, while 92% are within two hours of the EPIC measurements. The global composite data are then remapped into the EPIC FOV by convolving the high-resolution cloud properties with the EPIC point spread function (PSF) defined with a half-pixel accuracy to produce the EPIC composite. PSF-weighted radiances and cloud properties averages are computed separately for each cloud phase. Ancillary data (i.e., surface type, snow and ice map, skin temperature, precipitable water, etc.) needed for anisotropic factor selections are also included in the composite. These composite images are produced for each observation time of the EPIC instrument (typically 300 to 600 composites per month).	proprietary
 DSCOVR_EPIC_L2_GLINT_01	DSCOVR EPIC Level 2 GLINT	LARC_ASDC STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2091727220-LARC_ASDC.umm_json	DSCOVR_EPIC_L2_GLINT_01 is Version 1 of the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 2 glint data product. This product indicates the presence of glint caused by the single scattering specular reflection of sunlight either from horizontally oriented ice crystals floating in clouds or from smooth, highly reflective water surfaces. Such glints can prevent accurate retrievals of atmospheric and surface properties using existing algorithms but can also be used to learn more about the glint-causing objects.    The glint detection algorithm relies on EPIC taking images at different wavelengths at slightly different times. For example, red images are taken about 4 minutes after blue images. During these few minutes, the Earth's rotation changes the scene's orientation by one degree, affecting whether EPIC observations at a specific wavelength will capture or miss the narrowly focused specular reflection from ice clouds or smooth water surfaces. As a result, sharp brightness differences between EPIC images taken a few minutes apart can identify glint signals.     The glint product includes three parameters for each pixel in the part of EPIC images where the alignment of solar and viewing directions is suitable for sun glint observations: (1) The surface type flag shows whether the area of a pixel is covered mainly by water, desert, or non-desert land; (2) The glint angle—the angle between the actual EPIC view direction and the direction of looking straight into the specular reflection from a perfectly horizontal surface—tells how favorable the EPIC view direction is for glint detection and can help in estimating the distribution of ice crystal orientation; (3) The glint mask indicates whether or not glint has been detected.	proprietary
+DSCOVR_EPIC_L2_MAIAC_02	DSCOVR EPIC L2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) Version 02	LARC_CLOUD STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2722461669-LARC_CLOUD.umm_json	DSCOVR_EPIC_L2_MAIAC_02 is the DSCOVR EPIC L2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) Version 02 data product. Data collection for this product is ongoing.   Level 2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) provides an interdisciplinary suite of products for the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC). The current version 2 reports the following products:   a) Atmosphere: cloud mask, global aerosol optical depth at 443nm and 551nm, fine mode fraction (over ocean) and spectral aerosol absorption for detected biomass burning or mineral dust aerosols. The absorption information includes single scattering albedo at 443nm, imaginary refractive index at 680nm, and Absorption Angstrom Exponent (AAE) characterizing spectral increase of imaginary refractive index at Vis-UV wavelengths. The absorption information is provided for two effective aerosol layer heights of 1km and 4km generally representing boundary layer and transport mode.   b) Land: atmospherically corrected spectral bidirectional reflectance factors (BRF) along with Lambertian surface reflectance, and bidirectional reflectance distribution function (BRDF) for the backscattering view geometries of EPIC. The BRDF is represented by 3 parameters of the Ross-Thick Li-Sparse model.   c) Ocean: Water leaving reflectance (non-dimensional) at Ultraviolet-Visible (UV-Vis) bands.    The parameters are distributed at 10 km rotated sinusoidal grid and 1 to 2-hour temporal frequency. MAIAC version 02 also provides gap-filled global composite products for Normalized Difference Vegetation Index (NDVI) over land, and water leaving reflectance in 5 UV-Vis bands over global ocean. The composite products represent a weighted running average where the weight of the latest observation is maximized towards the local noon and low aerosol conditions.	proprietary
 DSCOVR_EPIC_L2_MAIAC_02	DSCOVR EPIC L2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) Version 02	LARC_ASDC STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1969999465-LARC_ASDC.umm_json	DSCOVR_EPIC_L2_MAIAC_02 is the DSCOVR EPIC L2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) Version 02 data product. Data collection for this product is ongoing.   Level 2 Multi-Angle Implementation of Atmospheric Correction (MAIAC) provides an interdisciplinary suite of products for the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC). The current version 2 reports the following products:   a) Atmosphere: cloud mask, global aerosol optical depth at 443nm and 551nm, fine mode fraction (over ocean) and spectral aerosol absorption for detected biomass burning or mineral dust aerosols. The absorption information includes single scattering albedo at 443nm, imaginary refractive index at 680nm, and Absorption Angstrom Exponent (AAE) characterizing spectral increase of imaginary refractive index at Vis-UV wavelengths. The absorption information is provided for two effective aerosol layer heights of 1km and 4km generally representing boundary layer and transport mode.   b) Land: atmospherically corrected spectral bidirectional reflectance factors (BRF) along with Lambertian surface reflectance, and bidirectional reflectance distribution function (BRDF) for the backscattering view geometries of EPIC. The BRDF is represented by 3 parameters of the Ross-Thick Li-Sparse model.   c) Ocean: Water leaving reflectance (non-dimensional) at Ultraviolet-Visible (UV-Vis) bands.    The parameters are distributed at 10 km rotated sinusoidal grid and 1 to 2-hour temporal frequency. MAIAC version 02 also provides gap-filled global composite products for Normalized Difference Vegetation Index (NDVI) over land, and water leaving reflectance in 5 UV-Vis bands over global ocean. The composite products represent a weighted running average where the weight of the latest observation is maximized towards the local noon and low aerosol conditions.	proprietary
 DSCOVR_EPIC_L2_O3SO2AI_02	DSCOVR EPIC L2 Ozone (O3), Sulfur Dioxide (SO2) Aerosol Index (AI) with Epic L1B V03 Input, Version 2	LARC_ASDC STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1715718433-LARC_ASDC.umm_json	Robust cloud products are critical for the Deep Space Climate Observatory (DSCOVR) to contribute significantly to climate studies. Building on our team’s track record in cloud detection, cloud property retrieval, oxygen band exploitation, and DSCOVR-related studies, we propose to develop a suite of algorithms for generating the operational Earth Polychromatic Imaging Camera (EPIC) cloud mask, cloud height, and cloud optical thickness products. Multichannel observations will be used for cloud masking; the cloud height will be developed with information from the oxygen A- and B- band pairs (780 nm vs. 779.5 nm and 680 nm vs. 687.75 nm); for the cloud optical thickness retrieval, we propose an approach that combines the EPIC 680 nm observations and numerical weather model outputs. Preliminary results from radiative transfer modeling and proxy data applications show that the proposed algorithms are viable.    Product validation will be conducted by comparing EPIC observations/retrievals with counterparts from coexisting Low Earth Orbit (LEO) and Geosynchronous Earth Orbit (GEO) satellites. The proposed work will include a rigorous uncertainty analysis based on theoretical and computational radiative transfer modeling that complements standard validation activities with physics-based diagnostics. We also plan to evaluate and improve the calibration of the EPIC O2 A- and B-band absorption channels by tracking the instrument performance over known targets, such as cloud-free ocean and ice sheet surfaces.  The deliverables for the proposed work include an Algorithm Theoretical Basis Document (ATBD) for peer review, products generated with the proposed algorithms, and supporting research articles. The data products, archived at the Atmospheric Science Data Center (ASDC) at the NASA Langley Research Center, will provide essential inputs needed for the community to apply EPIC observations to climate research and better interpret The National Institute of Standards and Technology Advanced Radiometer (NISTAR) observations.    The proposed work directly responds to the solicitation to “develop and implement the necessary algorithms and processes to enable various data products from EPIC sunrise to sunset observations once on orbit” and improve “the calibration of EPIC based on in-flight data.”	proprietary
 DSCOVR_EPIC_L2_O3SO2AI_03	DSCOVR EPIC Level 2 O3SO2AI	LARC_ASDC STAC Catalog	2015-06-13		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2229467436-LARC_ASDC.umm_json	Robust cloud products are critical for Deep Space Climate Observatory (DSCOVR) to contribute to climate studies significantly. Building on our team’s track record in cloud detection, cloud property retrieval, oxygen band exploitation, and DSCOVR-related studies, we propose to develop a suite of algorithms for generating the operational Earth Polychromatic Imaging Camera (EPIC) cloud mask, cloud height, and cloud optical thickness products. Multichannel observations will be used for cloud masking; the cloud height will be developed with information from the oxygen A- and B- band pairs (780 nm vs. 779.5 nm and 680 nm vs. 687.75 nm); for the cloud optical thickness retrieval, we propose an approach that combines the EPIC 680 nm observations and numerical weather model outputs. Preliminary results from radiative transfer modeling and proxy data applications show that the proposed algorithms are viable.    Product validation will be conducted by comparing EPIC observations/retrievals with counterparts from coexisting Low Earth Orbit (LEO) and Geosynchronous Earth Orbit (GEO) satellites. The proposed work will include a rigorous uncertainty analysis based on theoretical and computational radiative transfer modeling that complements standard validation activities with physics-based diagnostics. We also plan to evaluate and improve the calibration of the EPIC O2 A- and B-band absorption channels by tracking the instrument performance over known targets, such as cloud-free ocean and ice sheet surfaces.  The deliverables for the proposed work include an Algorithm Theoretical Basis Document (ATBD) for peer review, products generated with the proposed algorithms, and supporting research articles. The data products, which will be archived at the Atmospheric Science Data Center (ASDC) at the NASA Langley Research Center, will provide essential inputs needed for the community to apply EPIC observations to climate research and to interpret better The National Institute of Standards and Technology Advanced Radiometer (NISTAR) observations.    The proposed work directly responds to the solicitation to “develop and implement the necessary algorithms and processes to enable various data products from EPIC sunrise to sunset observations once on orbit” and improve “the calibration of EPIC based on in-flight data.”	proprietary
@@ -5300,6 +5390,7 @@ FIRE_MS_UKMO_C130_1	First ISCCP Regional Experiment (FIRE) Marine Stratocumulus
 FLASH_SSF_Aqua-FM3-MODIS_Version4A	Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) Aqua-FM3-MODIS data in HDF Version 4A	LARC_ASDC STAC Catalog	2018-12-15		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1719289006-LARC_ASDC.umm_json	FLASH_SSF_Aqua-FM3-MODIS_Version4A is the Fast Longwave And Shortwave Radiative Fluxes (FLASHFlux) Clouds and Radiative Swath (SSF) Aqua-FM3-MODIS data in HDF Version 4A data product. This product consists of Low latency (< 5 days from observation) Top-of-Atmosphere (TOA) fluxes and parameterized surface radiative fluxes at Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) level for quick-look purposes. Data collection for this product is in progress.    FLASHFlux data are a product line of the CERES project designed to process and release TOA and surface radiative fluxes for applied sciences and education uses. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality. FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a few days of the initial measurements, with some calibration accuracy requirements relaxed to gain speed.     The SSF TOA/Surface Fluxes and Clouds product contains one hour of instantaneous FLASHFlux data for a single CERES scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager, such as Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites and meteorological and ozone information from The Goddard Earth Observing System  GEOS-5 FP-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher image resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument Flight Model 5 (FM5), was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite.	proprietary
 FLASH_SSF_NOAA20-FM6-VIIRS_Version1A	Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) data in netCDF	LARC_ASDC STAC Catalog	2021-12-21		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2569832691-LARC_ASDC.umm_json	FLASH_SSF_NOAA20-FM6-VIIRS_Version1A data are near real-time CERES observed TOA fluxes, clouds, and parameterized surface fluxes, not officially calibrated. The Fast Longwave and SHortwave Flux (FLASHFlux) data are a product line of the Clouds and the Earth's Radiant Energy Systems (CERES) project designed for processing and release of top-of-atmosphere (TOA) and surface radiative fluxes within one week of CERES instrument measurement. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality.FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a week of the initial measurements, with some calibration accuracy requirements relaxed to gain speed. The Single Scanner Footprint TOA/Surface Fluxes and Clouds (SSF) product contains one hour of instantaneous Fast Longwave And SHortwave Fluxes (FLASHFlux) data for a single Clouds and the Earth's Radiant Energy Systems (CERES) scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-20 satellite and meteorological and ozone information from The Goddard Earth Observing System GEOS-5 FP-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and incoming NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. CERES instrument Flight Model 5 (FM5) was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The latest CERES instrument (FM6) was launched on board NOAA-20 on November 18, 2017.	proprietary
 FLASH_SSF_NOAA20-FM6-VIIRS_Version1B	Fast Longwave And SHortwave Fluxes (FLASHflux) NOAA-20 Clouds and Radiative Swath (SSF) Version1B	LARC_ASDC STAC Catalog	2023-10-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2789636167-LARC_ASDC.umm_json	FLASH_SSF_NOAA20-FM6-VIIRS_Version1B data are near real-time CERES observed TOA fluxes, clouds, and parameterized surface fluxes, not officially calibrated. The Fast Longwave and SHortwave Flux (FLASHFlux) data are a product line of the Clouds and the Earth's Radiant Energy Systems (CERES) project designed for processing and release of top-of-atmosphere (TOA) and surface radiative fluxes within one week of CERES instrument measurement. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality.FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a week of the initial measurements, with some calibration accuracy requirements relaxed to gain speed. The Single Scanner Footprint TOA/Surface Fluxes and Clouds (SSF) product contains one hour of instantaneous Fast Longwave And SHortwave Fluxes (FLASHFlux) data for a single Clouds and the Earth's Radiant Energy Systems (CERES) scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-20 satellite and meteorological and ozone information from The Goddard Earth Observing System (GEOS) GEOS-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher image resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and incoming NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information. CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. CERES instrument Flight Model 5 (FM5) was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The latest CERES instrument (FM6) was launched on board NOAA-20 on November 18, 2017.	proprietary
+FLASH_SSF_Terra-FM1-MODIS_Version4A	Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A	LARC_CLOUD STAC Catalog	2017-01-01		67.5, -90, -67.5, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2722461596-LARC_CLOUD.umm_json	FLASH_SSF_Terra-FM1-MODIS_Version4A is the Fast Longwave And Shortwave Radiative Fluxes (FLASHFlux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A data product. This product consists of Low latency (< 5 days from observation) Top-of-Atmosphere (TOA) fluxes and parameterized surface radiative fluxes at Clouds and the Earth's Radiant Energy Systems (CERES) Single Scanner Footprint (SSF) level for quick-look purposes.     FLASHFlux data are a product line of the CERES project designed to process and release TOA and surface radiative fluxes for applied sciences and education uses. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality. FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a few days of the initial measurements, with some calibration accuracy requirements relaxed to gain speed.     The SSF TOA/Surface Fluxes and Clouds product contains one hour of instantaneous FLASHFlux data for a single CERES scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager, such as Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites and meteorological and ozone information from The Goddard Earth Observing System (GEOS) GEOS-5 FP-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher image resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument, Flight Model 5 (FM5), was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite.	proprietary
 FLASH_SSF_Terra-FM1-MODIS_Version4A	Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A	LARC_ASDC STAC Catalog	2017-01-01		67.5, -90, -67.5, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1719289020-LARC_ASDC.umm_json	FLASH_SSF_Terra-FM1-MODIS_Version4A is the Fast Longwave And Shortwave Radiative Fluxes (FLASHFlux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A data product. This product consists of Low latency (< 5 days from observation) Top-of-Atmosphere (TOA) fluxes and parameterized surface radiative fluxes at Clouds and the Earth's Radiant Energy Systems (CERES) Single Scanner Footprint (SSF) level for quick-look purposes.     FLASHFlux data are a product line of the CERES project designed to process and release TOA and surface radiative fluxes for applied sciences and education uses. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality. FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a few days of the initial measurements, with some calibration accuracy requirements relaxed to gain speed.     The SSF TOA/Surface Fluxes and Clouds product contains one hour of instantaneous FLASHFlux data for a single CERES scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager, such as Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites and meteorological and ozone information from The Goddard Earth Observing System (GEOS) GEOS-5 FP-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher image resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument, Flight Model 5 (FM5), was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite.	proprietary
 FLASH_SSF_Terra-FM1-MODIS_Version4B	Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in netCDF Version 4B	LARC_ASDC STAC Catalog	2017-01-01		67.5, -90, -67.5, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2804771144-LARC_ASDC.umm_json	FLASH_SSF_Terra-FM1-MODIS_Version4B is the Fast Longwave And Shortwave Radiative Fluxes (FLASHFlux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in netCDF Version 4B data product. This product consists of Low latency (< 5 days from observation) Top-of-Atmosphere (TOA) fluxes and parameterized surface radiative fluxes at Clouds and the Earth's Radiant Energy Systems (CERES) Single Scanner Footprint (SSF) level for quick-look purposes.     FLASHFlux data are a product line of the CERES project designed to process and release TOA and surface radiative fluxes for applied sciences and education uses. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality. FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a few days of the initial measurements, with some calibration accuracy requirements relaxed to gain speed.     The SSF TOA/Surface Fluxes and Clouds product contains one hour of instantaneous FLASHFlux data for a single CERES scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager, such as Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites and meteorological and ozone information from The Goddard Earth Observing System (GEOS) GEOS-5 IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher image resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument, Flight Model 5 (FM5), was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite.	proprietary
 FLASH_TISA_Terra-Aqua_Version4A	FLASHFlux Daily Gridded Single Satellite TOA and Surfaces/Clouds data in HDF Version 4A	LARC_ASDC STAC Catalog	2018-12-01		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1719147151-LARC_ASDC.umm_json	FLASH_TISA_Terra-Aqua_Version4a is the Fast Longwave And SHortwave Fluxes (FLASHFlux) Daily Gridded Single Satellite Top-of-Atmosphere (TOA) and Surfaces/Clouds data in HDF Version 4A data product. This product contains low latency (< 7 days from observations) combined Terra and Aqua FLASHFlux Single Scanner Footprint (SSF) globally gridded TOA and parameterized surface radiative fluxes for applied science uses. Data collection for this product is in progress.    FLASHFlux data are a product line of the Clouds and the Earth's Radiant Energy Systems (CERES) project designed to process and release TOA and surface radiative fluxes for applied sciences and education uses. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality. FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a few days of the initial measurements, with some calibration accuracy requirements relaxed to gain speed.     The SSF TOA/Surface Fluxes and Clouds product contains one hour of instantaneous FLASHFlux data for a single CERES scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager, such as Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites and meteorological and ozone information from The Goddard Earth Observing System (GEOS) GEOS-5 FP-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher image resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument, Flight Model 5 (FM5), was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite.	proprietary
@@ -6153,32 +6244,32 @@ GHISACONUS_001	Global Hyperspectral Imaging Spectral-library of Agricultural cro
 GIMMS3g_NDVI_Trends_1275_1	Long-Term Arctic Growing Season NDVI Trends from GIMMS 3g, 1982-2012	ORNL_CLOUD STAC Catalog	1982-06-01	2012-08-31	-180, 20, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2784897341-ORNL_CLOUD.umm_json	This data set provides normalized difference vegetation index (NDVI) data for the arctic growing season derived primarily with data from Advanced Very High Resolution Radiometer (AVHRR) sensors onboard several NOAA satellites over the years 1982 through 2012. The NDVI data, which show vegetation activity, were averaged annually for the arctic growing season (GS; June, July and August). The products include the annual GS-NDVI values and the results of a cumulative GS-NDVI time series trends analysis. The data are circumpolar in coverage at 8-km resolution and limited to greater than 20 degrees N.These normalized difference vegetation index (NDVI) trends were calculated using the third generation data set from the Global Inventory Modeling and Mapping Studies (GIMMS 3g). GIMMS 3g improves on its predecessor (GIMMS g) in three important ways. First, GIMMS 3g integrates data from NOAA-17 and 18 satellites to lengthen its record. Second, it addresses the spatial discontinuity north of 72 degrees N, by using SeaWiFS, in addition to SPOT VGT, to calibrate between the second and third versions of the AVHRR sensor (AVHRR/2 and AVHRR/3). Finally, the GIMMS 3g algorithm incorporates improved snowmelt detection and is calibrated based on data from the shorter, arctic growing season (May-September) rather than the entire year (January-December). 	proprietary
 GISS-CMIP5_1	GISS ModelE2 contributions to the CMIP5 archive	NCCS STAC Catalog	0850-01-01	2100-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1542315069-NCCS.umm_json	We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980-2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics.	proprietary
 GIS_EastAngliaClimateMonthly_551_1	Global Monthly Climatology for the Twentieth Century (New et al.)	ORNL_CLOUD STAC Catalog	1900-01-01	1998-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2780535151-ORNL_CLOUD.umm_json	A 0.5 degree lat/lon data set of monthly surface climate over global land areas, excluding Antarctica. Primary variables are interpolated directly from station time-series: precipitation, mean temperature and diurnal temperature range.	proprietary
-GLAH01_033	GLAS/ICESat L1A Global Altimetry Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.umm_json	Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter.  Each data granule has an associated browse product.	proprietary
 GLAH01_033	GLAS/ICESat L1A Global Altimetry Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547306-NSIDC_CPRD.umm_json	Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter.  Each data granule has an associated browse product.	proprietary
-GLAH02_033	GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json	GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product.	proprietary
+GLAH01_033	GLAS/ICESat L1A Global Altimetry Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.umm_json	Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter.  Each data granule has an associated browse product.	proprietary
 GLAH02_033	GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.umm_json	GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product.	proprietary
-GLAH03_033	GLAS/ICESat L1A Global Engineering Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json	Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.	proprietary
+GLAH02_033	GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json	GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product.	proprietary
 GLAH03_033	GLAS/ICESat L1A Global Engineering Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json	Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.	proprietary
-GLAH04_033	GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json	Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.	proprietary
+GLAH03_033	GLAS/ICESat L1A Global Engineering Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json	Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.	proprietary
 GLAH04_033	GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547635-NSIDC_CPRD.umm_json	Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.	proprietary
+GLAH04_033	GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json	Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.	proprietary
 GLAH05_034	GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549166-NSIDC_CPRD.umm_json	GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization).  Each data granule has an associated browse product.	proprietary
 GLAH05_034	GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.umm_json	GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization).  Each data granule has an associated browse product.	proprietary
-GLAH06_034	GLAS/ICESat L1B Global Elevation Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json	GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product.	proprietary
 GLAH06_034	GLAS/ICESat L1B Global Elevation Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json	GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product.	proprietary
-GLAH07_033	GLAS/ICESat L1B Global Backscatter Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json	GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data.  Each data granule has an associated browse product.	proprietary
+GLAH06_034	GLAS/ICESat L1B Global Elevation Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json	GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product.	proprietary
 GLAH07_033	GLAS/ICESat L1B Global Backscatter Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.umm_json	GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data.  Each data granule has an associated browse product.	proprietary
+GLAH07_033	GLAS/ICESat L1B Global Backscatter Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json	GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data.  Each data granule has an associated browse product.	proprietary
 GLAH08_033	GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1631093696-NSIDC_ECS.umm_json	GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate).  Each data granule has an associated browse product.	proprietary
 GLAH08_033	GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.umm_json	GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate).  Each data granule has an associated browse product.	proprietary
 GLAH09_033	GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.umm_json	GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz.  Each data granule has an associated browse product.	proprietary
 GLAH09_033	GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.umm_json	GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz.  Each data granule has an associated browse product.	proprietary
 GLAH10_033	GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-09-25	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json	GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds.  Each data granule has an associated browse product.	proprietary
 GLAH10_033	GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-09-25	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json	GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds.  Each data granule has an associated browse product.	proprietary
-GLAH11_033	GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.umm_json	GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product.	proprietary
 GLAH11_033	GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991871-NSIDC_ECS.umm_json	GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product.	proprietary
+GLAH11_033	GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.umm_json	GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product.	proprietary
 GLAH12_034	GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH12_034	GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
-GLAH13_034	GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH13_034	GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
+GLAH13_034	GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH14_034	GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000443-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH14_034	GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153551318-NSIDC_CPRD.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH15_034	GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
@@ -6684,8 +6775,8 @@ HAQ_TROPOMI_NO2_CONUS_M_L3_2.4	HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2)
 HAQ_TROPOMI_NO2_CONUS_S_L3_2.4	HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) CONUS Seasonal Level 3 0.01 x 0.01 Degree Gridded Data V2.4 (HAQ_TROPOMI_NO2_CONUS_S_L3) at GES DISC	GES_DISC STAC Catalog	2018-06-01		-124.75, 24.5, -66.76, 49.49	https://cmr.earthdata.nasa.gov/search/concepts/C2839237223-GES_DISC.umm_json	This product provides level 3 seasonal averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the Continental United States oversampled to a spatial resolution of 0.01˚ x 0.01˚ (~1 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in June-August 2018 and continues to the present.   This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time.  NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations. 	proprietary
 HAQ_TROPOMI_NO2_GLOBAL_A_L3_2.4	HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) GLOBAL Annual Level 3 0.1 x 0.1 Degree Gridded Data Version 2.4  (HAQ_TROPOMI_NO2_GLOBAL_A_L3) at GES DISC	GES_DISC STAC Catalog	2019-01-01		-179.5, -60, 179.5, 75	https://cmr.earthdata.nasa.gov/search/concepts/C3087325001-GES_DISC.umm_json	This product provides level 3 annual averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the globe oversampled to a spatial resolution of 0.1˚ x 0.1˚ (~10 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in January 2019 and continues to the present.   This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time.  NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations. 	proprietary
 HAQ_TROPOMI_NO2_GLOBAL_M_L3_2.4	HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) GLOBAL Monthly Level 3 0.1 x 0.1 Degree Gridded Data Version 2.4 (HAQ_TROPOMI_NO2_GLOBAL_M_L3) at GES DISC	GES_DISC STAC Catalog	2019-01-01		-179.5, -60, 179.5, 75	https://cmr.earthdata.nasa.gov/search/concepts/C3087325222-GES_DISC.umm_json	This product provides level 3 monthly averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the globe oversampled to a spatial resolution of 0.1˚ x 0.1˚ (~10 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in January 2019 and continues to the present.   This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time.  NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations. 	proprietary
-HAWKEYE_L1_1	SeaHawk-1 HawkEye Level-1A  Data, version 1	OB_CLOUD STAC Catalog	2018-12-03	2023-10-27	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3160685741-OB_CLOUD.umm_json	The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON).	proprietary
 HAWKEYE_L1_1	SeaHawk HawkEye Level-1 Data, version 1	OB_DAAC STAC Catalog	2018-12-03		-180, 90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2124738110-OB_DAAC.umm_json	The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide  high quality, high resolution imagery (120 meter) of the open ocean, coastal zones,  lakes, estuaries and land features. This ability provides a valuable complement to  the lower resolution measurements from previous missions like SeaWiFS, MODIS and  VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University  of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and  is funded by the Moore Foundation under a grant for the Sustained Ocean Color  Observations with Nanosatellites (SOCON).	proprietary
+HAWKEYE_L1_1	SeaHawk-1 HawkEye Level-1A  Data, version 1	OB_CLOUD STAC Catalog	2018-12-03	2023-10-27	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3160685741-OB_CLOUD.umm_json	The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON).	proprietary
 HAWKEYE_L2_OC_2018.0	SeaHawk HawkEye Regional Ocean Color (OC) Data, version 2018.0	OB_DAAC STAC Catalog	2021-04-16	2023-10-27	-180, 90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2124738174-OB_DAAC.umm_json	The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide  high quality, high resolution imagery (120 meter) of the open ocean, coastal zones,  lakes, estuaries and land features. This ability provides a valuable complement to  the lower resolution measurements from previous missions like SeaWiFS, MODIS and  VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University  of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and  is funded by the Moore Foundation under a grant for the Sustained Ocean Color  Observations with Nanosatellites (SOCON).	proprietary
 HAWKEYE_L2_OC_2022.0	SeaHawk-1 HawkEye Level-2 Regional Ocean Color (OC) Data, version 2022.0	OB_CLOUD STAC Catalog	2019-03-21	2023-10-27	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3160685780-OB_CLOUD.umm_json	The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide  high quality, high resolution imagery (120 meter) of the open ocean, coastal zones,  lakes, estuaries and land features. This ability provides a valuable complement to  the lower resolution measurements from previous missions like SeaWiFS, MODIS and  VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University  of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and  is funded by the Moore Foundation under a grant for the Sustained Ocean Color  Observations with Nanosatellites (SOCON).	proprietary
 HCDN_810_1	Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990, R1	ORNL_CLOUD STAC Catalog	1951-01-01	1990-12-31	-125.15, 24.16, -66.74, 49.39	https://cmr.earthdata.nasa.gov/search/concepts/C2756285170-ORNL_CLOUD.umm_json	Time series of monthly minimum and maximum temperature, precipitation, and potential evapotranspiration were derived for 1,469 watersheds in the conterminous United States for which stream flow measurements were also available from the national streamflow database, termed the Hydro-Climatic Data Network (HCDN), developed by Slack et al. (1993a,b). Monthly climate estimates were derived for the years 1951-1990.The climate characteristic estimates of temperature and precipitation were estimated using the PRISM (Daly et al. 1994, 1997) climate analysis system as described in Vogel, et al. 1999.Estimates of monthly potential evaporation were obtained using a method introduced by Hargreaves and Samani (1982) which is based on monthly time series of average minimum and maximum temperature data along with extraterrestrial solar radiation. Extraterrestrial solar radiation was estimated for each basin by computing the solar radiation over 0.1 degree grids using the method introduced by Duffie and Beckman (1980) and then summing those estimates for each river basin. This process is described in Sankarasubramanian, et al. (2001). Revision Notes: This data set has been revised to update the number of watersheds included in the data set and to updated the units for the potential evapotranspiration variable.  Please see the Data Set Revisions section of this document for detailed information. 	proprietary
@@ -6731,6 +6822,7 @@ HI_VEG_VEGSIGNATURES_1	Heard Island: baseline data for monitoring longterm chang
 HI_animaltracks_ARGOS_1	Animal Tracking at Heard Island 2003/2004 - ARGOS data	AU_AADC STAC Catalog	2003-12-15	2004-02-13	68, -56, 80, -50	https://cmr.earthdata.nasa.gov/search/concepts/C1214308648-AU_AADC.umm_json	"A major goal of a research expedition by the Australian Antarctic Division over the summer of (2003/04) in the Southern Ocean off Heard Island was to answer some of the questions needed to determine what level of exploitation of Southern Ocean fisheries is sustainable.  The use of novel equipment, cutting edge technology and some adept logistical co-ordination allowed the Aurora Australis, on the Southern Ocean, to catch the prey of the predators of Heard Island.  This work was accomplished by placing satellite trackers on animals at Heard Island, and then, using the ARGOS system, monitoring their activities in the Southern Ocean around the island.  The Aurora Australis assisted in the monitoring and tracking of the animals by searching the areas the animals were foraging for prey species.  The animals tracked in this experiment were:  Light-mantled sooty albatrosses black-browed albatrosses king penguins macaroni penguins Antarctic fur seals  The columns in this data file are:  individual_id - the identifier of the individual animal species - the species name of that animal pttid - the identifier of the PTT tracker deployed on that animal deployment_longitude - the longitude at which the tracker was deployed deployment_latitude - the latitude at which the tracker was deployed observation_date - the date (ISO8601 format) of the position observation year, month, day, time, time_zone - as per the observation_date, but in separate columns locationclass - the ARGOS location class of the position (see http://www.argos-system.org/manual/3-location/34_location_classes.htm; value -3 corresponds to a ""Z"" class, value -2 to ""B"", value -1 to ""A"") latitude - the latitude of the position observation longitude - the longitude of the position observation"	proprietary
 HLSL30_2.0	HLS Landsat Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m v2.0	LPCLOUD STAC Catalog	2013-04-11		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2021957657-LPCLOUD.umm_json	The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance (SR) and top of atmosphere (TOA) brightness data from a virtual constellation of satellite sensors. The Operational Land Imager (OLI) is housed aboard the joint NASA/USGS Landsat 8 and Landsat 9 satellites, while the Multi-Spectral Instrument (MSI) is mounted aboard Europe’s Copernicus Sentinel-2A and Sentinel-2B satellites. The combined measurement enables global observations of the land every 2–3 days at 30-meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MSI that include atmospheric correction, cloud and cloud-shadow masking, spatial co-registration and common gridding, illumination and view angle normalization, and spectral bandpass adjustment.    The HLSL30 product provides 30-m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from Landsat 8/9 OLI data products. The HLSS30 and HLSL30 products are gridded to the same resolution and Military Grid Reference System (MGRS)(https://hls.gsfc.nasa.gov/products-description/tiling-system/) tiling system, and thus are “stackable” for time series analysis.    The HLSL30 product is provided in Cloud Optimized GeoTIFF (COG) format, and each band is distributed as a separate file. There are 11 bands included in the HLSL30 product along with one quality assessment (QA) band and four angle bands. See the User Guide for a more detailed description of the individual bands provided in the HLSL30 product.	proprietary
 HLSS30_2.0	HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m v2.0	LPCLOUD STAC Catalog	2015-11-28		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2021957295-LPCLOUD.umm_json	The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard Europe’s Copernicus Sentinel-2A and Sentinel-2B satellites. The combined measurement enables global observations of the land every 2–3 days at 30-meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MSI that include atmospheric correction, cloud and cloud-shadow masking, spatial co-registration and common gridding, illumination and view angle normalization, and spectral bandpass adjustment.     The HLSS30 product provides 30-m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from Sentinel-2A and Sentinel-2B MSI data products. The HLSS30 and HLSL30 products are gridded to the same resolution and Military Grid Reference System (MGRS) (https://hls.gsfc.nasa.gov/products-description/tiling-system/) tiling system, and thus are “stackable” for time series analysis.    The HLSS30 product is provided in Cloud Optimized GeoTIFF (COG) format, and each band is distributed as a separate COG. There are 13 bands included in the HLSS30 product along with four angle bands and a quality assessment (QA) band. See the User Guide for a more detailed description of the individual bands provided in the HLSS30 product.  	proprietary
+HMA2_DCG_SMB_1	High Mountain Asia 2 m DEM, Surface Velocity, and Lagrangian Surface Mass Balance for Select Debris Covered Glaciers V001	NSIDC_ECS STAC Catalog	2012-12-23	2017-12-22	85.51, 27.85, 87, 28.39	https://cmr.earthdata.nasa.gov/search/concepts/C3226193732-NSIDC_ECS.umm_json	This High Mountain Asia data set contains 2 m resolution digital elevation models (DEMs), surface velocities, surface mass balance (SMB) rates, and SMB uncertainties for six debris-covered glaciers in Nepal.  SMB rate is estimated by applying a Lagrangian specification to DEMs derived from very-high-resolution optical stereo imagery acquired by Maxar Technologies satellites WorldView-1, WorldView-2, WorldView-3, and GeoEye-1.  This data set was granted permission for public release on 1 March 2024 under the National Reconnaissance Office (NRO) Electro-Optical Commercial Layer (EOCL) program.	proprietary
 HMA2_DDSMET_1	High Mountain Asia 4-km Dynamically Downscaled Meteorological Data, 2000-2015 V001	NSIDC_ECS STAC Catalog	2000-01-01	2016-01-01	43.179, 10.34, 108.829, 45.569	https://cmr.earthdata.nasa.gov/search/concepts/C3114262920-NSIDC_ECS.umm_json	This High Mountain Asia (HMA) data set contains simulated meteorological data for the Indus Basin from 2000 through 2015, at three horizontal resolutions – 36 km, 12 km, and 4 km – and 9 pressure levels spanning 1000 hPa – 200 hPa. The data were produced by using the Advanced Research Weather Research & Forecasting (ARW-WRF) model to dynamically downscale Climate Forecast System Reanalysis (CFSR) data into three nested domains with increasing horizontal resolution.	proprietary
 HMA2_DSPAT_1	High Mountain Asia Daily 5 km Downscaled SPEAR Precipitation and Air Temperature Projections V001	NSIDC_ECS STAC Catalog	1990-01-01	2100-12-31	60.025, 20.025, 110.975, 45.975	https://cmr.earthdata.nasa.gov/search/concepts/C2815757433-NSIDC_ECS.umm_json	This data set consists of daily, 5 km resolution precipitation and mean, near-surface air temperature projections from 2015 through 2100 for the High Mountain Asia (HMA) region. The data were generated by statistically downscaling 0.5° resolution model data from the Geophysical Fluid Dynamic Laboratory (GFDL) Seamless System for Prediction and EArth System Research (SPEAR) 30-member ensemble climate model.  Projections are provided for two Shared Socioeconomic Pathways (SSPs): SSP2-4.5 and SSP5 8.5. A historical model run from 1990 through 2014 is also available.	proprietary
 HMA2_FGP_1	High Mountain Asia 30m and 8m Flood Geomorphic Potential V001	NSIDC_ECS STAC Catalog	2017-07-16	2021-04-22	58.1, 9.5, 121.6, 49.7	https://cmr.earthdata.nasa.gov/search/concepts/C2912123196-NSIDC_ECS.umm_json	This data set contains Flood Geomorphic Potential (FGP) at 30 m resolution for the High Mountain Asia region and 8 m resolution over Nepal. FGP is a digital elevation model-derived index that provides high-resolution flood mapping based on bankfull elevations, defined in terms of river widths, and elevation differences between points under examination and the closest bankfull elevations in the river network.	proprietary
@@ -9303,6 +9395,7 @@ Large_River_DOC_Export_0	Export of dissolved organic carbon (DOC) by large river
 Last_Day_Spring_Snow_1528_1	ABoVE: Last Day of Spring Snow, Alaska, USA, and Yukon Territory, Canada, 2000-2016	ORNL_CLOUD STAC Catalog	2000-04-01	2016-07-02	-175.76, 52.17, -97.95, 68.97	https://cmr.earthdata.nasa.gov/search/concepts/C2162119017-ORNL_CLOUD.umm_json	"This dataset provides the last day of spring snow cover for most of Alaska and the Yukon Territory for 2000 through 2016. The data are based on the MODIS daily snow cover fraction product (MODSCAG) and are provided at 500-m resolution. Pixels in the daily snow cover fraction grids from April 1 through July 31 were flagged as ""Snow"" if the snow fraction exceeded 0.15, resulting in a time series of binary daily snow cover grids for each year. The annual last day of spring snow for each pixel was identified by day of the year ranging from 91 (April 1) to 183 (July 2)."	proprietary
 Leaf_Carbon_Nutrients_1106_1	A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves	ORNL_CLOUD STAC Catalog	1970-01-01	2009-12-31	-159.7, -50, 176.9, 68.5	https://cmr.earthdata.nasa.gov/search/concepts/C2784383820-ORNL_CLOUD.umm_json	This data set provides carbon (C), nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) concentrations in green and senesced leaves. Vegetation characteristics reported include species growth habit, leaf area, mass, and mass loss with senescence. The data were compiled from 86 selected studies in 31 countries, and resulted in approximately 1,000 data points for both green and senesced leaves from woody and non-woody vegetation as described in Vergutz et al (2012). The studies were conducted from 1970-2009. There are two comma-delimited data files with this data set.	proprietary
 Leaf_Photosynthesis_Traits_1224_1	A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area	ORNL_CLOUD STAC Catalog	1993-01-01	2010-12-31	-122.4, -43.2, 176.13, 58.42	https://cmr.earthdata.nasa.gov/search/concepts/C2784384781-ORNL_CLOUD.umm_json	This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate of electron transport (Jmax) are primary determinants of photosynthetic rates in plants, and modeled carbon fluxes are highly sensitive to these parameters. Previous studies have shown that Vcmax and Jmax correlate with leaf nitrogen across species and regions, and locally across species with leaf phosphorus and specific leaf area, yet no universal relationship suitable for global-scale models is currently available. These data are suitable for exploring the general relationships of Vcmax and Jmax with each other and with leaf N, P and SLA. This data set contains one *.csv file.	proprietary
+LeapSecT_001	Leap Seconds - ECS internal format for Toolkit V 001 Non-orderable	LARC_CLOUD STAC Catalog	1961-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2951425138-LARC_CLOUD.umm_json	ECS internal format for Toolkit for time difference TAI - UT; From 1961 to 1971, approximate equivalent to TAI-UT; from 1/1/1972 onwards, actual leap seconds, meaning TAI - UTC	proprietary
 Level_2A_aerosol_cloud_optical_products_NA	Aeolus L2A Aerosol/Cloud optical product	ESA STAC Catalog	2021-05-26		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2207498185-ESA.umm_json	"The Level 2A aerosol/cloud optical products of the Aeolus mission include geo-located consolidated backscatter and extinction profiles, backscatter-to-extinction coefficient, LIDAR ratio, scene classification, heterogeneity index and attenuated backscatter signals.   Resolution -        Horizontal resolution of L2A optical properties at observation scale (~87 km);          Exceptions are group properties (horizontal accumulation of measurements from ~3 km to ~87 km) and attenuated backscatters (~3 km);           Note: the resolution of ""groups"" in the L2A can only go down to 5 measurements at the moment, i.e. ~15 km horizontal resolution. This could be configured to go to 1 measurement -        Vertical resolution 250-2000 m (Defined by Range Bin Settings https://earth.esa.int/eogateway/instruments/aladin/overview-of-the-main-wind-rbs-changes)."	proprietary
 LiDAR_Forest_Inventory_Brazil_1644_1	LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018	ORNL_CLOUD STAC Catalog	2008-01-01	2018-12-31	-68.3, -26.7, -39.06, -1.58	https://cmr.earthdata.nasa.gov/search/concepts/C2398128915-ORNL_CLOUD.umm_json	This dataset provides the complete catalog of point cloud data collected during LiDAR surveys over selected forest research sites across the Amazon rainforest in Brazil between 2008 and 2018 for the Sustainable Landscapes Brazil Project. Flight lines were selected to overfly key field research sites in the Brazilian states of Acre, Amazonas, Bahia, Goias, Mato Grosso, Para, Rondonia, Santa Catarina, and Sao Paulo. The point clouds have been georeferenced, noise-filtered, and corrected for misalignment of overlapping flight lines. They are provided in 1 km2 tiles. The data were collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.	proprietary
 LiDAR_Tundra_Forest_AK_1782_1	ABoVE: Terrestrial Lidar Scanning Forest-Tundra Ecotone, Brooks Range, Alaska, 2016	ORNL_CLOUD STAC Catalog	2016-06-14	2016-06-25	-149.76, 67.97, -149.71, 68.02	https://cmr.earthdata.nasa.gov/search/concepts/C2143401877-ORNL_CLOUD.umm_json	This dataset provides terrestrial lidar scanning (TLS) point cloud data collected at 10 research plots along the forest-tundra ecotone (FTE) in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. Data were collected in mid-June 2016. Data were acquired for each plot from multiple scan positions with a Leica ScanStation C10 green wavelength laser instrument. After processing the point spacing is < 1 cm. TLS enables resolution of 3-dimensional landscape features that can be used to derive ecologically important metrics of canopy structure and surface topography at high spatial resolution.	proprietary
@@ -9559,8 +9652,10 @@ MASTER_WDTS_SeptOct_2020_1940_1.2	MASTER: Western Diversity Time Series Campaign
 MASTER_WDTS_Spring_2021_1953_1.1	MASTER: Western Diversity Time Series Campaign, WDTS, California, USA, Spring 2021	ORNL_CLOUD STAC Catalog	2021-02-09	2021-04-02	-123.82, 31.95, -112.49, 40.98	https://cmr.earthdata.nasa.gov/search/concepts/C2731669314-ORNL_CLOUD.umm_json	This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) airborne campaign during nine flights aboard a NASA ER-2 aircraft over selected areas of California and Nevada, U.S., from 2021-02-09 to 2021-04-02. The WDTS campaign will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.	proprietary
 MASTER_WDTS_Spring_2023_2252_1	MASTER: Western Diversity Time Series Campaign, WDTS, Spring 2023	ORNL_CLOUD STAC Catalog	2023-03-31	2023-05-02	-129.56, 30.4, -112.5, 43.07	https://cmr.earthdata.nasa.gov/search/concepts/C2771655615-ORNL_CLOUD.umm_json	This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) airborne campaign during 12 flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2023-03-31 to 2023-05-02. The WDTS campaign will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in five bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.	proprietary
 MAS_832_2	SAFARI 2000 MODIS Airborne Simulator Data, Southern Africa, Dry Season 2000	ORNL_CLOUD STAC Catalog	2000-08-17	2000-09-25	9.06, -32.67, 41.07, -11.81	https://cmr.earthdata.nasa.gov/search/concepts/C2763230127-ORNL_CLOUD.umm_json	This dataset contains the Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (MAS) multispectral data collected during the SAFARI 2000 project. The flights were undertaken over Southern Africa by the NASA ER-2 aircraft during August and September, 2000.	proprietary
+MB2LME_002	MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002	LARC_CLOUD STAC Catalog	2000-02-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854334785-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002 contains the ellipsoid projected TOA parameters for the single local mode scene, resampled to WGS84 ellipsoid.	proprietary
 MB2LME_002	MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677675-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002 contains the ellipsoid projected TOA parameters for the single local mode scene, resampled to WGS84 ellipsoid.	proprietary
-MB2LMT_2	MISR Level 1B2 Local Mode Terrain Radiance Data V002	LARC STAC Catalog	2000-02-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677676-LARC.umm_json	MB2LMT_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Local Mode Terrain Radiance Data Version 2 product. It contains the terrain-projected Top-of-Atmosphere (TOA) radiance for the single local mode scene, resampled at the surface and topographically corrected.   MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MB2LMT_002	MISR Level 1B2 Local Mode Terrain Radiance Data V002	LARC_CLOUD STAC Catalog	2000-02-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854335039-LARC_CLOUD.umm_json	MB2LMT_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Local Mode Terrain Radiance Data Version 2 product. It contains the terrain-projected Top-of-Atmosphere (TOA) radiance for the single local mode scene, resampled at the surface and topographically corrected.   MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MB2LMT_2	MISR Level 1B2 Local Mode Terrain Radiance Data V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677676-LARC.umm_json	MB2LMT_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Local Mode Terrain Radiance Data Version 2 product. It contains the terrain-projected Top-of-Atmosphere (TOA) radiance for the single local mode scene, resampled at the surface and topographically corrected.   MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MBON_0	Marine Biodiversity Observation Network (MBON)	OB_DAAC STAC Catalog	2015-07-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1719969316-OB_DAAC.umm_json	The Marine Biodiversity Observation Network (MBON) is a growing global initiative composed of regional networks of scientists, resource managers, and end-users working to integrate data from existing long-term programs to improve our understanding of changes and connections between marine biodiversity and ecosystem functions.	proprietary
 MCD06COSP_D3_MODIS_6.2	MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid	LAADS STAC Catalog	2002-07-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2263893831-LAADS.umm_json	The combined MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid product represents a new addition that is especially geared to facilitate climate scientists who deal with both models and observations. MCD06COSP_D3_MODIS represents the daily product’s short-name.  The “COSP” acronym in its short-name stands for  Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. This product is an aggregation of combined MODIS Level-2 inputs from both the Terra and Aqua incarnations (MOD35/MOD06 and MYD35/MYD06, respectively), and employs an aggregation methodology consistent with the MOD08 and MYD08 products.  Provided in netCDF4 format, it contains 23 aggregated science data sets (SDS/parameters).    The Collection 6.2 (C6.2) is an improved version from the previous version (C6.1) because a number of bugs detected in Collection 6.1 are fixed. 	proprietary
 MCD06COSP_M3_MODIS_6.2	MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid	LAADS STAC Catalog	2002-07-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2263894888-LAADS.umm_json	The combined MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid product represents a new addition that is especially geared to facilitate climate scientists who deal with both models and observations. MCD06COSP_D3_MODIS represents the daily product’s short-name.  The “COSP” acronym in its short-name stands for  Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. The L3 monthly product is derived by aggregating the daily-produced Aqua+Terra/MODIS D3 Cloud Properties product (MCD06COSP_D3_MODIS).  Provided in netCDF4 format, it contains 23 aggregated science data sets (SDS/parameters).     The Collection 6.2 (C6.2) is an improved version from the previous version (C6.1) because a number of bugs detected in Collection 6.1 are fixed.	proprietary
@@ -9730,13 +9825,23 @@ MFLL_CO2_Weighting_Functions_1891_1	ACT-America: L2 Weighting Functions for Airb
 MFLL_XCO2_Range_10Hz_1892_1	ACT-America: L2 Remotely Sensed Column-avg CO2 by Airborne Lidar, Lite, Eastern USA	ORNL_CLOUD STAC Catalog	2016-05-27	2018-05-20	-106.05, 27.23, -71.91, 49.11	https://cmr.earthdata.nasa.gov/search/concepts/C2704971204-ORNL_CLOUD.umm_json	This dataset provides a direct subset (i.e., the Lite version) of the Level 2 (L2) remotely sensed column-average carbon dioxide (CO2) concentrations measured during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the U.S. for the Atmospheric Carbon and Transport (ACT-America) project. Column-average CO2 concentrations were measured at a 0.1-second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with a Multi-functional Fiber Laser Lidar (MFLL; Harris Corporation). The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity-modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. Complete aircraft flight information, interpolated to the 0.1-second column CO2 reporting frequency, is included, but not limited to, latitude, longitude, altitude, and attitude.	proprietary
 MI03_resp_nutrients_GC1_1	GC-FID analysis of soil respirometery experiment. Soil from Macquarie Island, sampled in 2003.	AU_AADC STAC Catalog	2003-01-01	2003-12-31	158.76892, -54.78406, 158.96667, -54.47802	https://cmr.earthdata.nasa.gov/search/concepts/C1214313661-AU_AADC.umm_json	Field samples were collected from the Main Power House at Macquarie Island - coordinates....  The soil sample used for the respirometer trial was made up as a composite of 8 cores, namely: MPH1, MPH3, MPH4, MPH5, MPH7, MPH8 and MPH9.  Each core was analysed for petroleum hydrocarbons (PHCs) at 0.05 m intervals. Intervals containing between 2500 and 5000 mg/kg PHC were then combined into a bulked sample used in the respirometer test.  The sample was homogenised by placing all the soil (4.5 kg) into a large mixing bowl and stirring with a flat stirrer.  The respirometer experiment was conducted by Jim Walworth and Andrew Pond at the University of Arizona.  The objective was to optimise the nutrient status for microbial degradation of PHC's.  The respirometer used was an N-Con closed system, with 24 flasks. There were 5 treatments and a control, each run in quadriplate.  The control was unammended while treatments were 125, 250, 375, 500, and 625 mg nitrogen/kg of soil (on a dry soil weight basis).  See:  Sheet 'Sample details' for sample barcode, user ID and sample mass summary. Sheet 'GC-FID Data', cells A1-A18 = sample ID, GC injection file and processing notes Sheet 'GC-FID Data', Rows 10 and 11 contain TPH estimates and estimated standard uncertainty for the TPH value Sheet 'GC-FID Data', cells A21-A125 = compounds or GC elution windows measured Sheet 'GC-FID Data', cells B21-B56 = compound [CAS numbers] Sheet 'GC-FID Data', cells C21-AL125 = GC-FID area responses Sheet 'GC-FID Data', cells C128-AL232 = Estimated standard uncertainties for all GC-FID area responses (from blank drifts,local signal/noise etc)  Chemical analysis details........Sample Extraction A 0.5mL volume of internal standard solution containing a mixture of compounds (cyclo-octane at c.1000mg/L, d8-naphthalene at 100mg/L, p-terphenyl at 100 mg/L and 1-bromoeicosane at 1000mg/L) dissolved in hexane, was pipetted onto the soil with a calibrated positive displacement pipette.  This was followed by the addition of 10mL of hexane and 10mL of water.  The vials were then tumbled end over end (50rpm) overnight and centrifuged at 1500 rpm. 1.8mL of the clear hexane layer was transferred by Pasteur pipette into a 2mL vial for Gas Chromatography Flame Ionisation Detector (GC-FID) analysis  Chemical analysis details........GC-FID parameters  The download file also includes a paper produced from this data.  This work was completed as part of ASAC project 1163 (ASAC_1163).	proprietary
 MI08_soil_properties_1	Characteristics of soil collected on Macquarie Island in 2008.	AU_AADC STAC Catalog	2008-01-01	2008-01-31	158.93, -54.51, 158.94, -54.49	https://cmr.earthdata.nasa.gov/search/concepts/C1214313645-AU_AADC.umm_json	Samples were collected on Macquarie Island from three sites: the main powerhouse, the fuel farm and a reference site on the isthmus by the Bioremediation Project team in January 2008. Soil characteristics including conductivity, pH, total petroleum hydrocarbons, total carbon, nitrate, nitrite, ammonium, fluoride, bromide, chloride, sulphate and phosphate were measured.  The data consists of two files, the rtf file contains the methods used and the csv file contains the soil characteristics. Samples are identified by a barcode which is the barcode number assigned by the Bioremediation Project Sample Tracking Database.  This work was carried out as part of AAS project 1163.	proprietary
+MI1AC_002	MISR Level 1A Calibration Data V002	LARC_CLOUD STAC Catalog	2000-03-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2917604599-LARC_CLOUD.umm_json	MI1AC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Calibration data in DN. The data numbers have been commuted from 12-bit numbers to 16-bit, byte aligned half-words version 2. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
 MI1AC_2	MISR Level 1A Calibration Data V002	LARC STAC Catalog	2000-03-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031451-LARC.umm_json	MI1AC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Calibration data in DN. The data numbers have been commuted from 12-bit numbers to 16-bit, byte aligned half-words version 2. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
+MI1AENG1_002	MISR Level 1A Engineering Data file Type 1 V002	LARC_CLOUD STAC Catalog	2000-02-25		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2917604635-LARC_CLOUD.umm_json	MI1AENG1_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Engineering Data file Type 1 version 2. It is the Reformatted Annotated Level 1A product for the camera Engineering data, which represents indicators of sampled measurements for that MISR instrument. This product provides all of the data needed to describe the state of the instrument for Level 1 processing and analysis at a later date. These data are composed primarily of temperatures, voltages and currents of each camera, the optical bench, calibration diodes, and system electronics. Verification and reporting flags for latches and limit-switches on the cover/goniometer and the calibration diffuser panels are also incorporated into these data. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
+MI1AMOT_003	MISR Motor Data V003	LARC_CLOUD STAC Catalog	2003-12-16		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2917604701-LARC_CLOUD.umm_json	MISR Level 1A Motor Data are acquired as part of an on-orbit calibration experiment. These data consist of measurements of the MISR instrument calibration panel motor currents. These data also include packet data for motor ID, motor current sampling frequency, and motor temperature.The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward and four cameras pointing aftward. It takes 7 minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
+MI1ANAV_002	MISR Level 1A Navigation Data V002	LARC_CLOUD STAC Catalog	2000-02-25		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2917604767-LARC_CLOUD.umm_json	MI1ANAV_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Navigation Data version 2. This is the Reformatted Annotated Level 1A Product for the Navigation Data, which contains samples of the EOS-AM1 Platform position and attitude data. It includes all spacecraft position, velocity, attitude and attitude rate data incorporated into MISR Level 1A Engineering Data packets. These data are read from the Command and Telemetry Bus during the period of one EOS-TERRA orbit for which it contains samples of the platform position and attitude data. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
+MI1AOBC_002	MISR OBC Data V002	LARC_CLOUD STAC Catalog	2003-07-30		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2917605198-LARC_CLOUD.umm_json	MI1AOBC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) OBC Data version 2. This file contains the output for the Level 1A On-board Calibrator Data and it provides the radiometry from PIN and HQE diodes and goniometer mechanism readings collected during calibration mode operations near the north and south poles and over the dark side of the Earth (or during science mode operations over the sunlit side of the Earth). The diode radiometry acquired during north and south pole calibration sequences will be used to determine brightness and reflective characteristics of a MISR diffuser panel as observed by each of the nine MISR cameras. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
 MI1AOBC_2	MISR OBC Data V002	LARC STAC Catalog	2003-07-30		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031458-LARC.umm_json	MI1AOBC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) OBC Data version 2. This file contains the output for the Level 1A On-board Calibrator Data and it provides the radiometry from PIN and HQE diodes and goniometer mechanism readings collected during calibration mode operations near the north and south poles and over the dark side of the Earth (or during science mode operations over the sunlit side of the Earth). The diode radiometry acquired during north and south pole calibration sequences will be used to determine brightness and reflective characteristics of a MISR diffuser panel as observed by each of the nine MISR cameras. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
-MI1B1_002	MISR Level 1B1 Radiance Data V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031454-LARC.umm_json	This is the Level 1B1 Product containing the DNs radiometrically-scaled to radiances with no geometric resampling	proprietary
+MI1B1_002	MISR Level 1B1 Radiance Data V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873768416-LARC_CLOUD.umm_json	This is the Level 1B1 Product containing the DNs radiometrically-scaled to radiances with no geometric resampling	proprietary
+MI1B1_002	MISR Level 1B1 Radiance Data V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031454-LARC.umm_json	MI1B1_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B1 Radiance Data version 2. It contains the data numbers (DNs) radiometrically scaled to radiances with no geometric resampling and spectral radiances for all MISR channels. Each value represents the incident radiance averaged over the sensor's total band response. Processing includes both radiance scaling and conditioning steps. Radiance scaling converts the Level 1A data from digital counts to radiances, using coefficients derived with the On-Board Calibrator (OBC) and vicarious calibrations. The OBC contains Spectralon calibration panels, deployed monthly and reflect sunlight into cameras. The OBC detector standards then measure this reflected light to provide the calibration. No out-of-band correction is done for this product, nor are the data geometrically corrected or resampled. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. Data collection for this product is ongoing. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MI1B2E_003	MISR Level 1B2 Ellipsoid Data V003	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3257326597-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Ellipsoid Data V003 contains Ellipsoid-projected TOA Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.	proprietary
 MI1B2E_003	MISR Level 1B2 Ellipsoid Data V003	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C66215276-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Ellipsoid Data V003 contains Ellipsoid-projected TOA Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.	proprietary
-MI1B2E_004	MISR Level 1B2 Ellipsoid Data V004	LARC STAC Catalog	2022-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2794373815-LARC.umm_json	MI1B2E_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Ellipsoid Data Version 4 product. It contains Ellipsoid-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MI1B2E_004	MISR Level 1B2 Ellipsoid Data V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2794373815-LARC.umm_json	MI1B2E_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Ellipsoid Data Version 4 product. It contains Ellipsoid-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MI1B2E_004	MISR Level 1B2 Ellipsoid Data V004	LARC_CLOUD STAC Catalog	2022-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854334599-LARC_CLOUD.umm_json	MI1B2E_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Ellipsoid Data Version 4 product. It contains Ellipsoid-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI1B2T_003	MISR Level 1B2 Terrain Data V003	LARC STAC Catalog	1999-12-19		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C66215277-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Terrain Data V003 contains Terrain-projected TOA Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.	proprietary
-MI1B2T_004	MISR Level 1B2 Terrain Data V004	LARC STAC Catalog	2022-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2794373806-LARC.umm_json	MI1B2T_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Terrain Data Version 4 product. It contains Terrain-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MI1B2T_003	MISR Level 1B2 Terrain Data V003	LARC_CLOUD STAC Catalog	1999-12-19		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3257326624-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Terrain Data V003 contains Terrain-projected TOA Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.	proprietary
+MI1B2T_004	MISR Level 1B2 Terrain Data V004	LARC_CLOUD STAC Catalog	2022-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854334658-LARC_CLOUD.umm_json	MI1B2T_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Terrain Data Version 4 product. It contains Terrain-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MI1B2T_004	MISR Level 1B2 Terrain Data V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2794373806-LARC.umm_json	MI1B2T_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Terrain Data Version 4 product. It contains Terrain-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI1B2_ELLIPSOID_NRT_001	MISR Near Real Time (NRT) Level 1B2 Ellipsoid Data V001	LARC STAC Catalog	2021-08-08	2022-10-12	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-LARC.umm_json	This file contains Ellipsoid-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.  It is used for MISR Near Real Time processing, and is derived from session-based Level 0 input files.	proprietary
 MI1B2_TERRAIN_NRT_001	MISR Near Real Time (NRT) Level 1B2 Terrain Data V001	LARC STAC Catalog	2021-10-11	2022-10-12	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-LARC.umm_json	This file contains Terrain-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22.  It is used for MISR Near Real Time processing, and is derived from session-based Level 0 input files.	proprietary
 MI2010_11_Alien-plant-survey_JDS_1	Alien plant survey Macquarie Island 2010_11	AU_AADC STAC Catalog	2010-10-13	2011-01-31	158.8, -54.7, 158.9, -54.6	https://cmr.earthdata.nasa.gov/search/concepts/C1214313682-AU_AADC.umm_json	"The data are location and abundance data of alien plants found during a systematic survey of Macquarie Island. It relates to three species Poa annua, Cerastium fontanum and Stellaria media. It is essentially a repeat of the Copson 1977 survey.  This work has been completed as part of ASAC (AAS) project 2904, ""Aliens in Antarctica"" (ASAC_2904)."	proprietary
@@ -9745,108 +9850,229 @@ MI2TC_CMV_BFR_NRT_001	MISR Near Real Time (NRT) Level 2 Cloud Motion Vector para
 MI2TC_CMV_HDF_NRT_001	MISR Near Real Time (NRT) Level 2 Cloud Motion Vector parameters V001	LARC STAC Catalog	2021-10-11	2022-10-12	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000101-LARC.umm_json	This is the MISR Level 2 Cloud Motion Vector Product containing height-resolved cloud motion vectors with associated data.  It is used for MISR Near Real Time processing, and is derived from session-based Level 0 input files.	proprietary
 MI3DAEF_002	MISR Level 3 FIRSTLOOK Component Global Aerosol Product covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141681-LARC.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol Product covering a day	proprietary
 MI3DAENF_002	MISR Level 3 FIRSTLOOK Global Aerosol product in netCDF format covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141688-LARC.umm_json	"It contains a statistical summary of column aerosol              555 nanometer optical depth, and a monthly aerosol              compositional type frequency histogram. Data collection              for this product is ongoing. This data product is a              global summary of the Level 2 aerosol parameters of              interest averaged over a day and reported on a              geographic grid, with a resolution of 0.5 degree by 0.5              degree.             FIRSTLOOK processing uses the new time dependence of              the Atmospheric and Surface Climatology (TASC) from the              same month/previous year. The TASC data set now              contains snow ice and ocean surface wind speed values              that are updated on a monthly basis. Therefore, these              data sets cannot be generated until the end of the              month. Products generated are distinguished by the              presence of FIRST LOOK in the file names. The MISR              instrument consists of nine pushbroom cameras which              measure radiance in four spectral bands. Global              coverage is achieved in nine days. The cameras are              arranged with one camera pointing toward the nadir,              four cameras pointing forward, and four cameras              pointing aftward. It takes seven minutes for all nine              cameras to view the same surface location. The view              angles relative to the surface reference ellipsoid are              0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral              band shapes are nominally Gaussian, centered at 443,              555, 670, and 865 nm.            MISR itself is an instrument designed to view Earth              with cameras pointed in 9 different directions. As the             ""instrument flies overhead, each piece of Earth s.""            the surface below is successively imaged by all nine cameras              in each of 4 wavelengths (blue, green, red, and              near-infrared). The goal of MISR is to improve our              understanding of the effects of sunlight on Earth and to distinguish different types of clouds,              particles, and surfaces. Specifically, MISR monitors the              monthly, seasonal, and long-term trends in three areas:              1) amount and type of atmospheric particles (aerosols),              including those formed by natural sources and by human              activities; 2) amounts, types, and heights of clouds,              and 3) distribution of land surface cover, including              vegetation canopy structure."	proprietary
+MI3DAENF_002	MISR Level 3 FIRSTLOOK Global Aerosol product in netCDF format covering a day V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854338720-LARC_CLOUD.umm_json	"It contains a statistical summary of column aerosol              555 nanometer optical depth, and a monthly aerosol              compositional type frequency histogram. Data collection              for this product is ongoing. This data product is a              global summary of the Level 2 aerosol parameters of              interest averaged over a day and reported on a              geographic grid, with a resolution of 0.5 degree by 0.5              degree.             FIRSTLOOK processing uses the new time dependence of              the Atmospheric and Surface Climatology (TASC) from the              same month/previous year. The TASC data set now              contains snow ice and ocean surface wind speed values              that are updated on a monthly basis. Therefore, these              data sets cannot be generated until the end of the              month. Products generated are distinguished by the              presence of FIRST LOOK in the file names. The MISR              instrument consists of nine pushbroom cameras which              measure radiance in four spectral bands. Global              coverage is achieved in nine days. The cameras are              arranged with one camera pointing toward the nadir,              four cameras pointing forward, and four cameras              pointing aftward. It takes seven minutes for all nine              cameras to view the same surface location. The view              angles relative to the surface reference ellipsoid are              0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral              band shapes are nominally Gaussian, centered at 443,              555, 670, and 865 nm.            MISR itself is an instrument designed to view Earth              with cameras pointed in 9 different directions. As the             ""instrument flies overhead, each piece of Earth s.""            the surface below is successively imaged by all nine cameras              in each of 4 wavelengths (blue, green, red, and              near-infrared). The goal of MISR is to improve our              understanding of the effects of sunlight on Earth and to distinguish different types of clouds,              particles, and surfaces. Specifically, MISR monitors the              monthly, seasonal, and long-term trends in three areas:              1) amount and type of atmospheric particles (aerosols),              including those formed by natural sources and by human              activities; 2) amounts, types, and heights of clouds,              and 3) distribution of land surface cover, including              vegetation canopy structure."	proprietary
 MI3DAER_2	MISR Level 3 Component Global Aerosol Regional public Product covering a day V002	LARC STAC Catalog	2002-03-29	2007-08-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031513-LARC.umm_json	MI3DAER_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Aerosol Regional public Product covering a day version 2. It contains a statistical summary of column aerosol 555 nanometer optical depth, and a monthly aerosol compositional type frequency histogram. This data product is a global summary of the Level 2 aerosol parameters of interest averaged over a day and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product is complete. The data are for distinct regions associated with associated field campaigns. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
+MI3DALF_002	MISR Level 3 FIRSTLOOK Component Global Albedo product covering a day V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854337789-LARC_CLOUD.umm_json	"MI3DALF_002 is the Multiangle Imaging SpectroRadiometer (MISR) Level 3 FIRST LOOK Component Global Albedo product covering a day version 2. It is intended to be used starting with MISR Release version 4.2, a global summary of the Level 2 albedo parameters of interest averaged over a day and reported on a geographic grid. It has multiple data layers, with varying temporal resolutions of 1 degree by 1 degree and 5 degrees by 5 degrees. Data collection for this product is ongoing.  FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snowice and ocean surface wind speed values that are updated monthly. Therefore, these data sets cannot be generated until the end of the month. The presence of FIRST LOOK in the file names distinguishes the products generated. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras pointed in 9 different directions. As the ""instrument flies overhead, each piece of Earth's ""surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure."	proprietary
 MI3DALF_002	MISR Level 3 FIRSTLOOK Component Global Albedo product covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141687-LARC.umm_json	"MI3DALF_002 is the Multiangle Imaging SpectroRadiometer (MISR) Level 3 FIRST LOOK Component Global Albedo product covering a day version 2. It is intended to be used starting with MISR Release version 4.2, a global summary of the Level 2 albedo parameters of interest averaged over a day and reported on a geographic grid. It has multiple data layers, with varying temporal resolutions of 1 degree by 1 degree and 5 degrees by 5 degrees. Data collection for this product is ongoing.  FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snowice and ocean surface wind speed values that are updated monthly. Therefore, these data sets cannot be generated until the end of the month. The presence of FIRST LOOK in the file names distinguishes the products generated. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras pointed in 9 different directions. As the ""instrument flies overhead, each piece of Earth's ""surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure."	proprietary
+MI3DALNF_002	MISR Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a day V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854338447-LARC_CLOUD.umm_json	MI3DALNF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a day version 2. It is a global summary of the Level 2 albedo parameters of interest averaged over a day and reported on a geographic grid; it has multiple data layers with varying temporal resolutions of 1 degree by 1 degree and 5 degrees by 5 degrees. Data collection for this product is ongoing. FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 3 FIRSTLOOK Component Global Albedo is a publicly available product in netCDF format that covers a day.	proprietary
 MI3DALNF_002	MISR Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141686-LARC.umm_json	MI3DALNF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a day version 2. It is a global summary of the Level 2 albedo parameters of interest averaged over a day and reported on a geographic grid; it has multiple data layers with varying temporal resolutions of 1 degree by 1 degree and 5 degrees by 5 degrees. Data collection for this product is ongoing. FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 3 FIRSTLOOK Component Global Albedo is a publicly available product in netCDF format that covers a day.	proprietary
+MI3DCDF_002	MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a day V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854338179-LARC_CLOUD.umm_json	This file contains the public MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a day. MI3DCDF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Component Global Cloud Product covering a day version 2. It is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a day and reported on a geographic grid; it has multiple data layers with varying temporal resolutions of 0.5 degrees by 0.5 degrees and 2.5 degrees by 2.5 degrees resolution. Data collection for this product is ongoing. \r\n\r\nFIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI3DCDF_002	MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141685-LARC.umm_json	This file contains the public MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a day. MI3DCDF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Component Global Cloud Product covering a day version 2. It is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a day and reported on a geographic grid; it has multiple data layers with varying temporal resolutions of 0.5 degrees by 0.5 degrees and 2.5 degrees by 2.5 degrees resolution. Data collection for this product is ongoing. \r\n\r\nFIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI3DCDNF_002	MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141684-LARC.umm_json	MI3DCDNF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a day version 2. It contains the public MISR Level 3 FIRSTLOOK Global Cloud public product in netCDF format covering a day. It is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a day and reported on a geographic grid. It has multiple data layers, with varying temporal resolutions of 0.5 degrees by 0.5 degrees and granules of 2.5 degrees by 2.5 degrees. Data collection for this product is ongoing. FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated monthly. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.  This file contains the public MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a day.	proprietary
+MI3DCDNF_002	MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a day V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854338573-LARC_CLOUD.umm_json	MI3DCDNF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a day version 2. It contains the public MISR Level 3 FIRSTLOOK Global Cloud public product in netCDF format covering a day. It is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a day and reported on a geographic grid. It has multiple data layers, with varying temporal resolutions of 0.5 degrees by 0.5 degrees and granules of 2.5 degrees by 2.5 degrees. Data collection for this product is ongoing. FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated monthly. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is an instrument designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.  This file contains the public MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a day.	proprietary
+MI3DCLDN_001	MISR Non-orderable MI3DCLDN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927799590-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MI3DCLDN_002	MISR Level 3 Global Cloud public Product in netCDF format covering a day V002	LARC_CLOUD STAC Catalog	2000-02-25		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873768588-LARC_CLOUD.umm_json	MI3DCLDN_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Cloud public Product in netCDF format covering a day version 2. It contains the public MISR Level 3 Global Cloud Product in netCDF format covering a day and is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a year and reported on a geographic grid, it has multiple data layers, with varying temporal resolutions of 0.5 degree by 0.5 degree as well as 2.5 degree by 2.5 degree. Data collection for this product is ongoing.   The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI3DCLDN_2	MISR Level 3 Global Cloud public Product in netCDF format covering a day V002	LARC STAC Catalog	2000-02-25		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919905-LARC.umm_json	MI3DCLDN_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Cloud public Product in netCDF format covering a day version 2. It contains the public MISR Level 3 Global Cloud Product in netCDF format covering a day and is a global summary of the Level 1 and Level 2 cloud parameters of interest averaged over a year and reported on a geographic grid, it has multiple data layers, with varying temporal resolutions of 0.5 degree by 0.5 degree as well as 2.5 degree by 2.5 degree. Data collection for this product is ongoing.   The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI3DLSF_002	MISR Level 3 FIRSTLOOK Component Global Land Product covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141682-LARC.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Land Product covering a day	proprietary
+MI3DLSNF_002	MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a day V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854338930-LARC_CLOUD.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Land product in netCDF format covering a day	proprietary
 MI3DLSNF_002	MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141683-LARC.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Land product in netCDF format covering a day	proprietary
 MI3DLSR_2	MISR Level 3 Component Global Land Regional public Product covering a day V002	LARC STAC Catalog	2002-03-29	2007-08-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031511-LARC.umm_json	MI3DLSR_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Land Regional public Product covering a dayversion 2. It contains a daily statistical summary of directional hemispherical reflectance (DHR), photosynthetically active spectral region (DHR-PAR), DHR for near-infrared band (DHR-NIR), fractional absorbed photosynthetically active radiation (FPAR), DHR-based normalized difference vegetation index (NDVI) and land surface bidirectional reflectance factor (BRF) model parameters. It is classified into six vegetated and one non-vegetated types. This data product is a global summary of the Level 2 land/surface parameters of interest averaged over a day and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product is complete. The data are for distinct regions associated with associated field campaigns. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
+MI3DRDF_002	MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a day V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854337331-LARC_CLOUD.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a day	proprietary
 MI3DRDF_002	MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141692-LARC.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a day	proprietary
 MI3DRDR_2	MISR Level 3 Component Global Radiance Regional public Product covering a day V002	LARC STAC Catalog	2001-07-22	2007-08-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031517-LARC.umm_json	MI3DRDR_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Radiance Regional public Product covering a day version 2. It contains a global summary of the Level 1 and Level 2 radiance parameters of interest averaged over a day and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product is complete. The data are for distinct regions associated with associated field campaigns. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
 MI3MAEF_002	MISR Level 3 FIRSTLOOK Component Global Aerosol Product covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141689-LARC.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol Product covering a month	proprietary
+MI3MAENF_002	MISR Level 3 FIRSTLOOK Global Aerosol product in netCDF format covering a month V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854339684-LARC_CLOUD.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol product in netCDF format covering a month	proprietary
 MI3MAENF_002	MISR Level 3 FIRSTLOOK Global Aerosol product in netCDF format covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141690-LARC.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol product in netCDF format covering a month	proprietary
 MI3MAER_2	MISR Level 3 Component Global Aerosol Regional public Product covering a month V002	LARC STAC Catalog	2002-03-01	2007-09-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031516-LARC.umm_json	MI3MAER_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Aerosol Regional public Product covering a month version 2. It contains a monthly statistical summary of aerosol optical depth (AOD) and single scattering albedo (SSA) model parameters. Data collection for this product was complete in August 2007.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI3MALF_002	MISR Level 3 FIRSTLOOK Component Global Albedo product covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141695-LARC.umm_json	MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product covering a month to be used starting with MISR Release V4.2.	proprietary
+MI3MALF_002	MISR Level 3 FIRSTLOOK Component Global Albedo product covering a month V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854339252-LARC_CLOUD.umm_json	MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product covering a month to be used starting with MISR Release V4.2.	proprietary
+MI3MALNF_002	MISR Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a month V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854339491-LARC_CLOUD.umm_json	MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product in netCDF format covering a month.	proprietary
 MI3MALNF_002	MISR Level 3 FIRSTLOOK Global Albedo product in netCDF format covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141694-LARC.umm_json	MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product in netCDF format covering a month.	proprietary
 MI3MCDF_002	MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141693-LARC.umm_json	This file contains the public MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a month	proprietary
+MI3MCDF_002	MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a month V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854339370-LARC_CLOUD.umm_json	This file contains the public MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a month	proprietary
+MI3MCDNF_002	MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a month V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854339578-LARC_CLOUD.umm_json	This file contains the MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a month	proprietary
 MI3MCDNF_002	MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141680-LARC.umm_json	This file contains the MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a month	proprietary
+MI3MCLDN_001	MISR Non-orderable MI3MCLDN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927801702-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
 MI3MCLDN_002	MISR Level 3 Global Cloud public Product in netCDF format covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919908-LARC.umm_json	This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a month	proprietary
+MI3MCLDN_002	MISR Level 3 Global Cloud public Product in netCDF format covering a month V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873768742-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a month	proprietary
 MI3MCMVN_002	MISR Level 3 Cloud Motion Vector monthly Product in netCDF format V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C194517134-LARC.umm_json	This file contains the MISR Level 3 Cloud Motion Vector monthly Product in netCDF format	proprietary
 MI3MLSF_002	MISR Level 3 FIRSTLOOK Component Global Land Product covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141679-LARC.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Land Product covering a month	proprietary
+MI3MLSNF_002	MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a month V002	LARC_CLOUD STAC Catalog	2002-08-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854339835-LARC_CLOUD.umm_json	MI3MLSNF_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Land product in netCDF format covering a month version 2 data product. It contains a monthly statistical summary of directional hemispherical reflectance (DHR), photosynthetically active spectral region (DHR-PAR), DHR for near-infrared band (DHR-NIR), fractional absorbed photosynthetically active radiation (FPAR), DHR-based normalized difference vegetation index (NDVI) and land surface bidirectional reflectance factor (BRF) model parameters. It is classified into six vegetated and one non-vegetated types. This data product is a global summary of the Level 2 land/surface parameters of interest averaged over a month and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product is ongoing. This collection contains Leaf Area Index (LAI).  FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI3MLSNF_2	MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a month V002	LARC STAC Catalog	2007-07-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141677-LARC.umm_json	MI3MLSNF_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Land product in netCDF format covering a month version 2 data product. It contains a monthly statistical summary of directional hemispherical reflectance (DHR), photosynthetically active spectral region (DHR-PAR), DHR for near-infrared band (DHR-NIR), fractional absorbed photosynthetically active radiation (FPAR), DHR-based normalized difference vegetation index (NDVI) and land surface bidirectional reflectance factor (BRF) model parameters. It is classified into six vegetated and one non-vegetated types. This data product is a global summary of the Level 2 land/surface parameters of interest averaged over a month and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product is ongoing. This collection contains Leaf Area Index (LAI).  FIRSTLOOK processing uses the new time dependence of the Atmospheric and Surface Climatology (TASC) from the same month/previous year. The TASC data set now contains snow-ice and ocean surface wind speed values that are updated on a monthly basis. Therefore, these data sets cannot be generated until the end of the month. Products generated are distinguished by the presence of FIRSTLOOK in the file names. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI3MLSR_2	MISR Level 3 Component Global Land Regional public Product covering a month V002	LARC STAC Catalog	2002-03-01	2007-09-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031526-LARC.umm_json	MI3MLSR_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Land Regional public Product covering a month version 2. It contains a daily statistical summary of average directional hemispherical reflectance (DHR), DHR for photosynthetically active spectral region (DHR-PAR), fractional absorbed photosynthetically active radiation (FPAR), leaf area index (LAI), and normalized difference vegetation index (NDVI) model parameters. Data collection for this product was complete in August 2007.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MI3MRDF_002	MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C156141696-LARC.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a month	proprietary
+MI3MRDF_002	MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a month V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854339112-LARC_CLOUD.umm_json	This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a month	proprietary
 MI3MRDR_002	MISR Level 3 Component Global Radiance Regional public Product covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031524-LARC.umm_json	This file contains the MISR Level 3 Component Global Radiance Regional public Product covering a month	proprietary
+MI3QCLDN_001	MISR Non-orderable MI3QCLDN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927805942-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MI3QCLDN_002	MISR Level 3 Global Cloud public Product in netCDF format covering a quarter V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873769069-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a quarter (seasonal)	proprietary
 MI3QCLDN_002	MISR Level 3 Global Cloud public Product in netCDF format covering a quarter V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919910-LARC.umm_json	This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a quarter (seasonal)	proprietary
 MI3QCMVN_002	MISR Level 3 Cloud Motion Vector quarterly Product in netCDF format V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C194517135-LARC.umm_json	This file contains the MISR Level 3 Cloud Motion Vector quarterly Product in netCDF format	proprietary
+MI3YCLDN_001	MISR Non-orderable MI3YCLDN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927808260-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MI3YCLDN_002	MISR Level 3 Global Cloud public Product in netCDF format covering a year V002	LARC_CLOUD STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873769466-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a year	proprietary
 MI3YCLDN_002	MISR Level 3 Global Cloud public Product in netCDF format covering a year V002	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919911-LARC.umm_json	This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a year	proprietary
 MI3YCMVN_2	MISR Level 3 Cloud Motion Vector yearly Product in netCDF format V002	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C194517136-LARC.umm_json	MI3YCMVN_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Motion Vector yearly Product in netCDF format version 2. It contains retrievals of cloud motion determined by geometrically triangulating the position and motion of cloud features observed by MISR from multiple perspectives and times during the overpass of the Terra platform over each cloud scene. Estimates of cloud motion are a valuable proxy observation of the horizontal atmospheric wind field at the retrieved altitude of the cloud. Data collection for this product is ongoing.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MIANACP_1	MISR Aerosol Climatology Product V001	LARC STAC Catalog	1999-11-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C185127378-LARC.umm_json	MIANACP_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Aerosol Climatology Product version 1. It is 1) the microphysical and scattering characteristics of pure aerosol upon which routine retrievals are based; 2) mixtures of pure aerosol to be compared with MISR observations; and 3) likelihood value assigned to each mode geographically. The ACP describes mixtures of up to three component aerosol types from a list of eight components, in varying proportions. ACP component aerosol particle data quality depends on the ACP input data, which are based on aerosol particles described in the literature, and consider MISR-specific sensitivity to particle size, single-scattering albedo, and shape, and shape - roughly: small, medium and large; dirty and clean; spherical and nonspherical [Kahn et al. , 1998; 2001]. Also reported in the ACP are the mixtures of these components used by the retrieval algorithm. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
 MIANCAGP_1	MISR Ancillary Geographic Product V001	LARC STAC Catalog	1999-11-07	2005-06-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C183897339-LARC.umm_json	MIANCAGP_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Ancillary Geographic Product version 1. It is a set of 233 pre-computed files. Each AGP file pertains to a single Terra orbital path. MISR production software relies on information in the AGP, such as digital terrain elevation, as input to the algorithms which generate MISR products. The AGP contains eleven fields of geographical data. This product consists primarily of geolocation data on a Space Oblique Mercator (SOM) Grid. It has 233 parts, corresponding to the 233 repeat orbits of the EOS-AM1 Spacecraft. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
 MIANCARP_2	MISR Ancillary Radiometric Product V002	LARC STAC Catalog	1999-12-28		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031521-LARC.umm_json	MIANCARP_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Ancillary Radiometric Product version 2. It is composed of 4 files covering instrument characterization data, pre-flight calibration data, in-flight calibration data, and configuration parameters. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
+MIANRCCH_003	MISR Non-orderable MIANRCCH	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927795536-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
 MIANTASC_002	MISR TASC dataset V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031528-LARC.umm_json	This is the Terrestrial Atmosphere and Surface Climatology used in Level 2 Processing. It is produced by the MISR SCF and shipped to the DAAC for generating MISR Level 2 products.	proprietary
+MIB1LM_002	MISR Level 1B1 Local Mode Radiance Data V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854334270-LARC_CLOUD.umm_json	This is the Local Mode Level 1B1 Product containing the DNs radiometrically scaled to radiances with no geometric resampling	proprietary
 MIB1LM_002	MISR Level 1B1 Local Mode Radiance Data V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031461-LARC.umm_json	This is the Local Mode Level 1B1 Product containing the DNs radiometrically scaled to radiances with no geometric resampling	proprietary
+MIB2GEOP_002	MISR Geometric Parameters V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3257326645-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Geometric Parameters V002 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid	proprietary
 MIB2GEOP_002	MISR Geometric Parameters V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677702-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Geometric Parameters V002 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid	proprietary
-MIB2GEOP_003	MISR Geometric Parameters V003	LARC STAC Catalog	2022-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2794387069-LARC.umm_json	MIB2GEOP_003 is the Multi-angle Imaging SpectroRadiometer (MISR) Geometric Parameters Version 3 product. It contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid. Data collection for this product is ongoing. The distribution format of this product is NetCDF-4 which is a migration from the previous version's format of HDF-EOS2.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIB2GEOP_003	MISR Geometric Parameters V003	LARC_CLOUD STAC Catalog	2022-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854334537-LARC_CLOUD.umm_json	MIB2GEOP_003 is the Multi-angle Imaging SpectroRadiometer (MISR) Geometric Parameters Version 3 product. It contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid. Data collection for this product is ongoing. The distribution format of this product is NetCDF-4 which is a migration from the previous version's format of HDF-EOS2.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIB2GEOP_003	MISR Geometric Parameters V003	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2794387069-LARC.umm_json	MIB2GEOP_003 is the Multi-angle Imaging SpectroRadiometer (MISR) Geometric Parameters Version 3 product. It contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid. Data collection for this product is ongoing. The distribution format of this product is NetCDF-4 which is a migration from the previous version's format of HDF-EOS2.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MICRONESIAN_0	Measurements stretching across the Pacific Ocean to the Hawaiian Islands from 1998 to 1999	OB_DAAC STAC Catalog	1998-09-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360482-OB_DAAC.umm_json	Measurements made primarily in Micronesia, but stretching across the Pacific Ocean to the Hawaiian Islands from 1998 to 1999.	proprietary
 MIL1A_2	MISR Level 1A CCD Science data, all cameras V002	LARC STAC Catalog	2018-05-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031533-LARC.umm_json	MIL1A_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A CCD Science data, all cameras version 2. It is the Reformatted Annotated Level 1A product for the CCD science data. The data numbers (DN) have been commuted from 12-bit numbers to 16-bit byte aligned half-words. The MISR CCD Science Instrument Data acquired from all nine of the MISR cameras for each of the four bands represent the raw MISR input data staged for MISR Science Instrument Data processing. There are nine file granules of this type, one corresponding to each of the nine MISR cameras. Each file granule contains four entire swaths of data, one swath for each of the four MISR bands associated with each MISR camera. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
+MIL2ADF_001	MISR Non-orderable MIL2ADF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927788242-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL2AD_001	MISR Level 2 Aerosol diagnostic parameters V001	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2937935485-LARC_CLOUD.umm_json	This is the Level 2 Aerosol Product containing diagnostic parameters relating to the aerosol retrieval processing.	proprietary
 MIL2ASAE_002	MISR Level 2 Aerosol parameters V002	LARC STAC Catalog	2000-02-24	2017-06-01	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677706-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 Aerosol parameters V002 contains Aerosol optical depth and particle type, with associated atmospheric data.	proprietary
+MIL2ASAE_003	MISR Level 2 Aerosol parameters V003	LARC_CLOUD STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854336973-LARC_CLOUD.umm_json	This is the Level 2 Aerosol Product. It contains Aerosol optical depth and particle type, with associated atmospheric data.	proprietary
 MIL2ASAE_3	MISR Level 2 Aerosol parameters V003	LARC STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1542385141-LARC.umm_json	MIL2ASAE_3 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol parameters Version 3 product. It contains information on retrieved aerosol column amount, aerosol particle properties, and ancillary information based on Level 1B2 geolocated radiances observed by MISR. Data collection for this product is ongoing.     As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIL2ASAF_002	MISR Level 2 FIRSTLOOK Aerosol parameters V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873769608-LARC_CLOUD.umm_json	This is the Level 2 FIRSTLOOK Aerosol Product. It contains Aerosol optical depth and particle type, with associated atmospheric data, produced using ancillary inputs from the previous time period.	proprietary
 MIL2ASAF_002	MISR Level 2 FIRSTLOOK Aerosol parameters V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1542382556-LARC.umm_json	This is the Level 2 FIRSTLOOK Aerosol Product. It contains Aerosol optical depth and particle type, with associated atmospheric data produced using ancillary inputs from the previous time period. MIL2ASAF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 FIRSTLOOK Aerosol parameters version 2. It contains Aerosol optical depth and particle type, with associated atmospheric data produced using ancillary inputs from the previous time period. Data collection for this product is ongoing. Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol data products contain various information on the Earth's atmosphere. The aerosol data include tropospheric aerosol optical depth on 17. 6-km centers archived with a compositional model identifier and retrieval residuals, ancillary data including relative humidity, ozone optical depth, stratospheric aerosol optical depth, and retrieval flags. MISR multi-angle imagery will be used to monitor global and regional trends radiatively significant to optical properties (optical depth, single scattering albedo, and size distribution) and amounts (mass loading) of natural and anthropogenic aerosols, including those arising from industrial and volcanic emissions, slash-and-burn agriculture, and desertification. Coupled with MISR's determinations of top-of-atmosphere and surface albedos, these data will measure the global aerosol forcing of the shortwave planetary radiation budget.  The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
-MIL2ASLF_002	MISR Level 2 FIRSTLOOK Surface parameters V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1542382559-LARC.umm_json	This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties, albedo(spectral and PAR integrated), FPAR, radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. MIL2ASLF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 FIRSTLOOK Surface parameters version 2. It contains directional reflectance properties, albedo (spectral and photosynthetically active radiation (PAR) integrated), a fraction of photosynthetically active radiation absorbed by vegetation (FPAR), radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. Data collection for this product is ongoing. This collection contains the Leaf Area Index (LAI).\r\n\r\nMulti-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol data products contain various information on the Earth's atmosphere. The aerosol data include tropospheric aerosol optical depth on 17. 6-km centers archived with a compositional model identifier and retrieval residuals, ancillary data including relative humidity, ozone optical depth, stratospheric aerosol optical depth, and retrieval flags. MISR multi-angle imagery will be used to monitor global and regional trends radiatively significant to optical properties (optical depth, single scattering albedo, and size distribution) and amounts (mass loading) of natural and anthropogenic aerosols, including those arising from industrial and volcanic emissions, slash-and-burn agriculture, and desertification. Coupled with MISR's determinations of top-of-atmosphere and surface albedos, these data will measure the global aerosol forcing of the shortwave planetary radiation budget. \r\n\r\nThe MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIL2ASLF_002	MISR Level 2 FIRSTLOOK Surface parameters V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1542382559-LARC.umm_json	This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties, albedo(spectral and PAR integrated), FPAR, radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. MIL2ASLF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 FIRSTLOOK Surface parameters version 2. It contains directional reflectance properties, albedo (spectral and photosynthetically active radiation (PAR) integrated), a fraction of photosynthetically active radiation absorbed by vegetation (FPAR), radiation parameters, and terrain-referenced geometric parameters produced using ancillary input from the previous time period. Data collection for this product is ongoing. This collection contains the Leaf Area Index (LAI). Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol data products contain information on the Earth's atmosphere. The aerosol data include tropospheric aerosol optical depth on 17. 6-km centers archived with a compositional model identifier and retrieval residuals, ancillary data including relative humidity, ozone optical depth, stratospheric aerosol optical depth, and retrieval flags. MISR multi-angle imagery will be used to monitor global and regional trends radiatively significant to optical properties (optical depth, single scattering albedo, and size distribution) and amounts (mass loading) of natural and anthropogenic aerosols, including those arising from industrial and volcanic emissions, slash-and-burn agriculture, and desertification. Coupled with MISR's determinations of top-of-atmosphere and surface albedos, these data will measure the global aerosol forcing of the shortwave planetary radiation budget. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, all nine cameras successfully imaged each piece of Earth's surface below in 4 wavelengths (blue, green, red, and near-infrared). MISR aims to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIL2ASLF_002	MISR Level 2 FIRSTLOOK Surface parameters V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854335482-LARC_CLOUD.umm_json	This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties,albedo(spectral & PAR integrated),FPAR,radiation parameters & terrain-referenced geometric parameters, produced using ancillary input from the previous time period.	proprietary
+MIL2ASLS_003	MISR Level 2 Surface parameters V003	LARC_CLOUD STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854337125-LARC_CLOUD.umm_json	This Level 2 Land Surface product contains directional reflectance properties,albedo(spectral & PAR integrated),FPAR, radiation parameters & terrain-referenced geometric parameters.	proprietary
 MIL2ASLS_2	MISR Level 2 Surface parameters V002	LARC STAC Catalog	2000-02-24	2017-06-01	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677707-LARC.umm_json	MIL2ASLS_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Land Surface parameters version 2 data product. It contains a variety of information on the Earth's surface; such ashemispherical directional reflectance factor (HDRF), bihemispherical reflectance (BHR) (i.e., albedo), bidirectional reflectance factor (BRF), directional hemispherical reflectance (DHR), BRF model parameters, Fractional absorbed Photosysenthetically Active Radiation (FPAR), and terrain-referenced view and illumination angles. A surface retrieval is conducted on regions for which valid land aerosol retrieval exists. The retrieval is performed using the corrected equivalent reflectances, retrieved aerosol parameters, and auxiliary information from the Simulated MISR Ancillary Radiative Transfer (SMART) dataset. The spectral and Photosynthetically Active spectral Region (PAR)-integrated BHR and DHR are retrieved, along with the spectral land HDRF and BRF and BRF model parameters, for all valid land and inland water subregions. Subregion surface classification and leaf area index (LAI) and regional FPAR are also determined. Subregion variability is also calculated for land regions. Data collection for this product was completed in June 2017.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MIL2ASLS_3	MISR Level 2 Surface parameters V003	LARC STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1542384334-LARC.umm_json	MIL2ASLS_3 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Land Surface parameters version 3 data product. It contains a variety of information on the Earth's surface; such ashemispherical directional reflectance factor (HDRF), bihemispherical reflectance (BHR) (i.e., albedo), bidirectional reflectance factor (BRF), directional hemispherical reflectance (DHR), BRF model parameters, Fractional absorbed Photosysenthetically Active Radiation (FPAR), and terrain-referenced view and illumination angles. A surface retrieval is conducted on regions for which valid land aerosol retrieval exists. The retrieval is performed using the corrected equivalent reflectances, retrieved aerosol parameters, and auxiliary information from the Simulated MISR Ancillary Radiative Transfer (SMART) dataset. The spectral and Photosynthetically Active spectral Region (PAR)-integrated BHR and DHR are retrieved, along with the spectral land HDRF and BRF and BRF model parameters, for all valid land and inland water subregions. Subregion surface classification and leaf area index (LAI) and regional FPAR are also determined. Subregion variability is also calculated for land regions. Data collection for this product is ongoing. This collection contains Leaf Area Index (LAI).    The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.    MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MIL2TCAF_001	MISR Level 2 FIRSTLOOK TOA/Cloud Albedo parameters V001	LARC STAC Catalog	2007-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C135857533-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Albedo parameters V001 contains local, restrictive, and expansive albedo, with associated data, produced using ancillary inputs from the previous time period.	proprietary
+MIL2TCAL_002	MISR Level 2 TOA/Cloud Albedo parameters V002	LARC_CLOUD STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854336695-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Albedo parameters V002 contains local, restrictive, and expansive albedo, with associated data.	proprietary
 MIL2TCAL_002	MISR Level 2 TOA/Cloud Albedo parameters V002	LARC STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677709-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Albedo parameters V002 contains local, restrictive, and expansive albedo, with associated data.	proprietary
 MIL2TCCF_001	MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V001	LARC STAC Catalog	2007-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C135857531-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V001 contains the Angular Signature Cloud Mask (ASCM), Cloud Classifiers, and Support Vector Machine classifiers, produced using ancillary inputs and Terrestrial Atmosphere and Surface Climatology (TASC) from the previous time period.	proprietary
 MIL2TCCF_002	MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2788984183-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V002 contains the Angular Signature Cloud Mask (ASCM), Cloud Classifiers, and Support Vector Machine classifiers, produced using ancillary inputs and Terrestrial Atmosphere and Surface Climatology (TASC) from the previous time period.	proprietary
+MIL2TCCF_002	MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V002	LARC_CLOUD STAC Catalog	2007-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854335355-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Classifier parameters V002 contains the Angular Signature Cloud Mask (ASCM), Cloud Classifiers, and Support Vector Machine classifiers, produced using ancillary inputs and Terrestrial Atmosphere and Surface Climatology (TASC) from the previous time period.	proprietary
+MIL2TCCH_001	MISR Non-orderable MIL2TCCH	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927791795-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL2TCCL_003	MISR Level 2 TOA/Cloud Classifier parameters V003	LARC_CLOUD STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854336390-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Classifier parameters V003 contains the Angular Signature Cloud Mask (ASCM), Regional Cloud Classifiers, Cloud Shadow Mask, and Topographic Shadow Mask, with associated data.	proprietary
 MIL2TCCL_003	MISR Level 2 TOA/Cloud Classifier parameters V003	LARC STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677712-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Classifier parameters V003 contains the Angular Signature Cloud Mask (ASCM), Regional Cloud Classifiers, Cloud Shadow Mask, and Topographic Shadow Mask, with associated data.	proprietary
+MIL2TCCL_004	MISR Level 2 TOA/Cloud Classifier parameters	LARC_CLOUD STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854336647-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Classifier parameters V004 contains the Angular Signature Cloud Mask (ASCM), Regional Cloud Classifiers, Cloud Shadow Mask, and Topographic Shadow Mask, with associated data.	proprietary
+MIL2TCHF_001	MISR Non-orderable MIL2TCHF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927787865-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL2TCSD_001	MISR Level 2 TOA/Cloud Height and Motion diagnostic parameters V001	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873769781-LARC_CLOUD.umm_json	This is the Level 2 TOA/Cloud Product containing the diagnostic parameters relating to the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.	proprietary
+MIL2TCSD_002	MISR Level 2 TOA/Cloud Height and Motion diagnostic parameters V002  Non-orderable	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2951425262-LARC_CLOUD.umm_json	This is the Level 2 TOA/Cloud Product containing the diagnostic parameters relating to the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.	proprietary
 MIL2TCSF_001	MISR Level 2 FIRSTLOOK TOA/Cloud Stereo parameters V001	LARC STAC Catalog	2007-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C135857534-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 FIRSTLOOK TOA/Cloud Stereo parameters V001 contains the stereoscopically-derived winds, heights and cloud mask along with associated data, produced using ancillary inputs of Terrestrial Atmosphere and Surface Climatology (TASC) from the previous time period.	proprietary
 MIL2TCSP_001	MISR Level 2 TOA/Cloud Height and Motion parameters V001	LARC STAC Catalog	2000-02-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191032907-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Height and Motion parameters V001 contains the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.	proprietary
+MIL2TCSP_001	MISR Level 2 TOA/Cloud Height and Motion parameters V001	LARC_CLOUD STAC Catalog	2000-02-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854335956-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Height and Motion parameters V001 contains the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.	proprietary
+MIL2TCSP_002	MISR Level 2 TOA/Cloud Height and Motion parameters V002	LARC_CLOUD STAC Catalog	2000-02-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854336257-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Height and Motion parameters V002 contains the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.	proprietary
 MIL2TCSP_002	MISR Level 2 TOA/Cloud Height and Motion parameters V002	LARC STAC Catalog	2000-02-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2794379117-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Height and Motion parameters V002 contains the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data.	proprietary
-MIL2TCST_002	MISR Level 2 TOA/Cloud Stereo parameters V002	LARC STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677714-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Stereo parameters V002 contains the Stereoscopically Derived Cloud Mask (SDCM), cloud winds, Reflecting Level Reference Altitude (RLRA), with associated data.	proprietary
+MIL2TCST_002	MISR Level 2 TOA/Cloud Stereo parameters V002	LARC_CLOUD STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854335636-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Stereo parameters V002 contains the Stereoscopically Derived Cloud Mask (SDCM), cloud winds, Reflecting Level Reference Altitude (RLRA), with associated data.	proprietary
+MIL2TCST_002	MISR Level 2 TOA/Cloud Stereo parameters V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677714-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Stereo parameters V002 contains the Stereoscopically Derived Cloud Mask (SDCM), cloud winds, Reflecting Level Reference Altitude (RLRA), with associated data.	proprietary
+MIL3DAEN_004	MISR Level 3 Component Global Aerosol product in netCDF format covering a day V004	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873769854-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a day	proprietary
 MIL3DAEN_004	MISR Level 3 Component Global Aerosol product in netCDF format covering a day V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919891-LARC.umm_json	This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a day	proprietary
 MIL3DAE_4	MISR Level 3 Component Global Aerosol Product covering a day V004	LARC STAC Catalog	2000-02-25	2017-06-01	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677715-LARC.umm_json	MIL3DAE_4 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Aerosol Product covering a day version 4. It contains a statistical summary of column aerosol 555 nanometer optical depth, and a monthly aerosol compositional type frequency histogram. This data product is a global summary of the Level 2 aerosol parameters of interest averaged over a day and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product was completed in June of 2017.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIL3DALN_005	MISR Non-orderable MIL3DALN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927798737-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3DALN_006	MISR Level 3 Component Global Albedo product in netCDF format covering a day V006	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873770629-LARC_CLOUD.umm_json	MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a day.	proprietary
 MIL3DALN_006	MISR Level 3 Component Global Albedo product in netCDF format covering a day V006	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919883-LARC.umm_json	MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a day.	proprietary
+MIL3DAL_005	MISR Non-orderable MIL3DAL	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927797763-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3DAL_006	MISR Level 3 Component Global Albedo product covering a day V006	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873770054-LARC_CLOUD.umm_json	MISR Level 3 Component Global Albedo publicly available product covering a day to be used starting with MISR Release V3.2.	proprietary
 MIL3DAL_006	MISR Level 3 Component Global Albedo product covering a day V006	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C61095953-LARC.umm_json	MISR Level 3 Component Global Albedo publicly available product covering a day to be used starting with MISR Release V3.2.	proprietary
+MIL3DCFA_001	MISR Level 3 Cloud Fraction by Altitude Product covering a day V001	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873770864-LARC_CLOUD.umm_json	This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a day	proprietary
 MIL3DCFA_001	MISR Level 3 Cloud Fraction by Altitude Product covering a day V001	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C188637668-LARC.umm_json	This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a day	proprietary
+MIL3DCLD_001	MISR Non-orderable MIL3DCLD	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927798198-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3DCLD_002	MISR Level 3 Component Global Cloud Product covering a day V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873771124-LARC_CLOUD.umm_json	This file contains the public MISR Level 3 Component Global Cloud Product covering a day	proprietary
 MIL3DCLD_002	MISR Level 3 Component Global Cloud Product covering a day V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C84942913-LARC.umm_json	This file contains the public MISR Level 3 Component Global Cloud Product covering a day	proprietary
+MIL3DCOD_001	MISR Level 3 Cloud Top Height-Optical Depth Product covering a day V001	LARC_CLOUD STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873771242-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 Cloud Top Height-Optical Depth Product covering a day.	proprietary
 MIL3DCOD_001	MISR Level 3 Cloud Top Height-Optical Depth Product covering a day V001	LARC STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1644916756-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 Cloud Top Height-Optical Depth Product covering a day.	proprietary
 MIL3DLSN_004	MISR Level 3 Component Global Land product in netCDF format covering a day V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919897-LARC.umm_json	This file contains the MISR Level 3 Component Global Land product in netCDF format covering a day	proprietary
+MIL3DLSN_004	MISR Level 3 Component Global Land product in netCDF format covering a day V004	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873771301-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Land product in netCDF format covering a day	proprietary
 MIL3DLS_004	MISR Level 3 Component Global Land Product covering a day V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677716-LARC.umm_json	This file contains the MISR Level 3 Component Global Land Product covering a day	proprietary
+MIL3DRD_003	MISR Non-orderable MIL3DRD	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927796459-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
 MIL3DRD_004	MISR Level 3 Component Global Radiance Product covering a day V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677717-LARC.umm_json	This file contains the MISR Level 3 Component Global Radiance Product covering a day	proprietary
+MIL3DRD_004	MISR Level 3 Component Global Radiance Product covering a day V004	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873771503-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Radiance Product covering a day	proprietary
 MIL3MAEN_004	MISR Level 3 Component Global Aerosol product in netCDF format covering a month V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919889-LARC.umm_json	This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a month	proprietary
+MIL3MAEN_004	MISR Level 3 Component Global Aerosol product in netCDF format covering a month V004	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873771604-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a month	proprietary
 MIL3MAE_4	MISR Level 3 Component Global Aerosol Product covering a month V004	LARC STAC Catalog	2000-02-01	2017-05-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677719-LARC.umm_json	MIL3MAE_4 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Aerosol Product covering a month version 4. It contains a statistical summary of column aerosol 555 nanometer optical depth, and a monthly aerosol compositional type frequency histogram. This data product is a global summary of relevant Level 2 aerosol parameters, averaged over a month and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Collection for this product was complete in May of 2017.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIL3MALN_005	MISR Non-orderable MIL3MALN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927801574-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3MALN_006	MISR Level 3 Component Global Albedo product in netCDF format covering a month V006	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873772253-LARC_CLOUD.umm_json	MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a month.	proprietary
 MIL3MALN_006	MISR Level 3 Component Global Albedo product in netCDF format covering a month V006	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919887-LARC.umm_json	MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a month.	proprietary
+MIL3MAL_005	MISR Non-orderable MIL3MAL	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927800811-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
 MIL3MAL_006	MISR Level 3 Component Global Albedo product covering a month V006	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C61095981-LARC.umm_json	MISR Level 3 Component Global Albedo publicly available product covering a month to be used starting with MISR Release V3.2.	proprietary
+MIL3MAL_006	MISR Level 3 Component Global Albedo product covering a month V006	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873771775-LARC_CLOUD.umm_json	MISR Level 3 Component Global Albedo publicly available product covering a month to be used starting with MISR Release V3.2.	proprietary
+MIL3MCFA_001	MISR Level 3 Cloud Fraction by Altitude Product covering a month V001	LARC_CLOUD STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873772357-LARC_CLOUD.umm_json	MIL3MCFA_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Fraction by Altitude Product covering a month version 1. It provides the frequency of cloud occurrence partitioned into different cloud top height bins at a global and monthly scale with a latitude/longitude resolution of 0.5 degree by 0.5 degree and a vertical resolution of 500m. For each height bin, the frequency of cloud occurrence of a region over a time period is represented by the temporal mean of the spatial coverage of cloud tops. The spatial coverage of clouds is referred to as cloud fraction, which is defined as the ratio of the number of cloudy pixels to the total number of cloudy and cloud-free pixels observed by the instrument. Clouds are assigned to height bins based on their top height as retrieved by the MISR stereoscopic technique. Data collection for this product is complete.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MIL3MCFA_1	MISR Level 3 Cloud Fraction by Altitude Product covering a month V001	LARC STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C188637669-LARC.umm_json	MIL3MCFA_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Fraction by Altitude Product covering a month version 1. It provides the frequency of cloud occurrence partitioned into different cloud top height bins at a global and monthly scale with a latitude/longitude resolution of 0.5 degree by 0.5 degree and a vertical resolution of 500m. For each height bin, the frequency of cloud occurrence of a region over a time period is represented by the temporal mean of the spatial coverage of cloud tops. The spatial coverage of clouds is referred to as cloud fraction, which is defined as the ratio of the number of cloudy pixels to the total number of cloudy and cloud-free pixels observed by the instrument. Clouds are assigned to height bins based on their top height as retrieved by the MISR stereoscopic technique. Data collection for this product is complete.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIL3MCLD_001	MISR Non-orderable MIL3MCLD	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927801317-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3MCLD_002	MISR Level 3 Component Global Cloud Product covering a month V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873772597-LARC_CLOUD.umm_json	This file contains the public MISR Level 3 Component Global Cloud Product covering a month	proprietary
 MIL3MCLD_002	MISR Level 3 Component Global Cloud Product covering a month V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C84942916-LARC.umm_json	This file contains the public MISR Level 3 Component Global Cloud Product covering a month	proprietary
 MIL3MCOD_001	MISR Level 3 Cloud Top Height-Optical Depth Product covering a month V001	LARC STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1644916750-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 Cloud Top Height-Optical Depth Product covering a month.	proprietary
+MIL3MCOD_001	MISR Level 3 Cloud Top Height-Optical Depth Product covering a month V001	LARC_CLOUD STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873772844-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 Cloud Top Height-Optical Depth Product covering a month.	proprietary
+MIL3MJTA_002	MISR Level 3 Global Joint Aerosol monthly product V002	LARC_CLOUD STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873772960-LARC_CLOUD.umm_json	MIL3MJTA_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Joint Aerosol monthly product version 2 data product. It contains global statistical summaries of MISR Level 2 aerosol optical depth, on a 5 degree geographic grid. Within each grid cell, optical depth is summarized by a set of representative vectors, each representing a cluster of similar Level 2 aerosol optical depth retrievals. Data is summarized monthly. Data collection for this product is ongoing.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument fly’s overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MIL3MJTA_2	MISR Level 3 Global Joint Aerosol monthly product V002	LARC STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1962111384-LARC.umm_json	MIL3MJTA_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Global Joint Aerosol monthly product version 2 data product. It contains global statistical summaries of MISR Level 2 aerosol optical depth, on a 5 degree geographic grid. Within each grid cell, optical depth is summarized by a set of representative vectors, each representing a cluster of similar Level 2 aerosol optical depth retrievals. Data is summarized monthly. Data collection for this product is ongoing.  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument fly’s overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIL3MLSN_004	MISR Level 3 Component Global Land product in netCDF format covering a month V004	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873773072-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Land product in netCDF format covering a month	proprietary
 MIL3MLSN_004	MISR Level 3 Component Global Land product in netCDF format covering a month V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031466-LARC.umm_json	This file contains the MISR Level 3 Component Global Land product in netCDF format covering a month	proprietary
 MIL3MLS_004	MISR Level 3 Component Global Land Product covering a month V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677721-LARC.umm_json	This file contains the MISR Level 3 Component Global Land Product covering a month	proprietary
+MIL3MRD_004	MISR Non-orderable MIL3MRD	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927800358-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3MRD_005	MISR Level 3 Component Global Radiance Product covering a month V005	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873773424-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Radiance Product covering a month	proprietary
 MIL3MRD_005	MISR Level 3 Component Global Radiance Product covering a month V005	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677725-LARC.umm_json	This file contains the MISR Level 3 Component Global Radiance Product covering a month	proprietary
+MIL3QAEN_004	MISR Level 3 Component Global Aerosol seasonal product in netCDF format V004	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873773600-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a quarter (seasonal)	proprietary
 MIL3QAEN_004	MISR Level 3 Component Global Aerosol seasonal product in netCDF format V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919894-LARC.umm_json	This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a quarter (seasonal)	proprietary
 MIL3QAE_004	MISR Level 3 Component Global Aerosol Product covering a quarter (seasonal) V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677727-LARC.umm_json	This file contains the MISR Level 3 Component Global Aerosol Product covering a quarter (seasonal)	proprietary
+MIL3QALN_005	MISR Non-orderable MIL3QALN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927805262-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3QALN_006	MISR Level 3 Component Global Albedo seasonal product in netCDF format V006	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873773976-LARC_CLOUD.umm_json	MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a quarter (seasonal).	proprietary
 MIL3QALN_006	MISR Level 3 Component Global Albedo seasonal product in netCDF format V006	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919886-LARC.umm_json	MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a quarter (seasonal).	proprietary
+MIL3QAL_005	MISR Non-orderable MIL3QAL	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927803980-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3QAL_006	MISR Level 3 Component Global Albedo product covering a quarter (seasonal) V006	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873773796-LARC_CLOUD.umm_json	MISR Level 3 Component Global Albedo publicly available product covering a quarter (seasonal) to be used starting with MISR Release V3.2.	proprietary
 MIL3QAL_006	MISR Level 3 Component Global Albedo product covering a quarter (seasonal) V006	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C61096008-LARC.umm_json	MISR Level 3 Component Global Albedo publicly available product covering a quarter (seasonal) to be used starting with MISR Release V3.2.	proprietary
 MIL3QCFA_001	MISR Level 3 Cloud Fraction by Altitude Product covering a quarter (seasonal) V001	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C188637670-LARC.umm_json	This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a quarter (seasonal)	proprietary
+MIL3QCFA_001	MISR Level 3 Cloud Fraction by Altitude Product covering a quarter (seasonal) V001	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873774167-LARC_CLOUD.umm_json	This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a quarter (seasonal)	proprietary
+MIL3QCLD_001	MISR Non-orderable MIL3QCLD	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927804452-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
 MIL3QCLD_002	MISR Level 3 Component Global Cloud Product covering a quarter (seasonal) V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C84942919-LARC.umm_json	This file contains the public MISR Level 3 Component Global Cloud Product covering a quarter (seasonal)	proprietary
+MIL3QCLD_002	MISR Level 3 Component Global Cloud Product covering a quarter (seasonal) V002	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873774382-LARC_CLOUD.umm_json	This file contains the public MISR Level 3 Component Global Cloud Product covering a quarter (seasonal)	proprietary
+MIL3QCOD_001	MISR Level 3 Cloud Top Height-Optical Depth Product covering a quarter (seasonal) V001	LARC_CLOUD STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873774505-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 CloudTopHeight-OpticalDepth Product covering a quarter (seasonal).	proprietary
 MIL3QCOD_001	MISR Level 3 Cloud Top Height-Optical Depth Product covering a quarter (seasonal) V001	LARC STAC Catalog	2000-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1644916755-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 CloudTopHeight-OpticalDepth Product covering a quarter (seasonal).	proprietary
 MIL3QLSN_004	MISR Level 3 Component Global Land seasonal product in netCDF format V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919903-LARC.umm_json	This file contains the MISR Level 3 Component Global Land product in netCDF format covering a quarter (seasonal)	proprietary
+MIL3QLSN_004	MISR Level 3 Component Global Land seasonal product in netCDF format V004	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873774574-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Land product in netCDF format covering a quarter (seasonal)	proprietary
 MIL3QLS_004	MISR Level 3 Component Global Land Product covering a quarter (seasonal) V004	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677728-LARC.umm_json	This file contains the MISR Level 3 Component Global Land Product covering a quarter (seasonal)	proprietary
+MIL3QRD_004	MISR Non-orderable MIL3QRD	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927802171-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3QRD_005	MISR Level 3 Component Global Radiance Product covering a quarter (seasonal) V005	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873774681-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Radiance Product covering a quarter (seasonal)	proprietary
 MIL3QRD_005	MISR Level 3 Component Global Radiance Product covering a quarter (seasonal) V005	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677732-LARC.umm_json	This file contains the MISR Level 3 Component Global Radiance Product covering a quarter (seasonal)	proprietary
+MIL3YAEN_004	MISR Level 3 Component Global Aerosol product in netCDF format covering a year V004	LARC_CLOUD STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873774819-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a year	proprietary
 MIL3YAEN_004	MISR Level 3 Component Global Aerosol product in netCDF format covering a year V004	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919893-LARC.umm_json	This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a year	proprietary
 MIL3YAE_004	MISR Level 3 Component Global Aerosol Product covering a year V004	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677733-LARC.umm_json	This file contains the MISR Level 3 Component Global Aerosol Product covering a year	proprietary
+MIL3YALN_005	MISR Non-orderable MIL3YALN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927807776-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
 MIL3YALN_006	MISR Level 3 Component Global Albedo product in netCDF format covering a year V006	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919888-LARC.umm_json	MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a year.	proprietary
+MIL3YALN_006	MISR Level 3 Component Global Albedo product in netCDF format covering a year V006	LARC_CLOUD STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873775262-LARC_CLOUD.umm_json	MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a year.	proprietary
+MIL3YAL_005	MISR Non-orderable MIL3YAL	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927806976-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3YAL_006	MISR Level 3 Component Global Albedo product covering a year V006	LARC_CLOUD STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873775162-LARC_CLOUD.umm_json	MISR Level 3 Component Global Albedo publicly available product covering a year to be used starting with MISR Release V3.2.	proprietary
 MIL3YAL_006	MISR Level 3 Component Global Albedo product covering a year V006	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C61096037-LARC.umm_json	MISR Level 3 Component Global Albedo publicly available product covering a year to be used starting with MISR Release V3.2.	proprietary
 MIL3YCFA_001	MISR Level 3 Cloud Fraction by Altitude Product covering a year V001	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C188637672-LARC.umm_json	This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a year	proprietary
+MIL3YCFA_001	MISR Level 3 Cloud Fraction by Altitude Product covering a year V001	LARC_CLOUD STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873775475-LARC_CLOUD.umm_json	This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a year	proprietary
+MIL3YCLD_001	MISR Non-orderable MIL3YCLD	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927807520-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MIL3YCLD_002	MISR Level 3 Component Global Cloud Product covering a year V002	LARC_CLOUD STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873775633-LARC_CLOUD.umm_json	This file contains the public MISR Level 3 Component Global Cloud Product covering a year	proprietary
 MIL3YCLD_002	MISR Level 3 Component Global Cloud Product covering a year V002	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C84942920-LARC.umm_json	This file contains the public MISR Level 3 Component Global Cloud Product covering a year	proprietary
+MIL3YCOD_001	MISR Level 3 Cloud Top Height-Optical Depth Product covering a year V001	LARC_CLOUD STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873775779-LARC_CLOUD.umm_json	MIL3YCOD_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Top Height-Optical Depth Product covering a year version 1. MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MIL3YCOD_1	MISR Level 3 Cloud Top Height-Optical Depth Product covering a year V001	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1644916757-LARC.umm_json	MIL3YCOD_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Top Height-Optical Depth Product covering a year version 1. MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
 MIL3YLSN_004	MISR Level 3 Component Global Land product in netCDF format covering a year V004	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C108919901-LARC.umm_json	This file contains the MISR Level 3 Component Global Land product in netCDF format covering a year	proprietary
+MIL3YLSN_004	MISR Level 3 Component Global Land product in netCDF format covering a year V004	LARC_CLOUD STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873775922-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Land product in netCDF format covering a year	proprietary
 MIL3YLS_4	MISR Level 3 Component Global Land Product covering a year V004	LARC STAC Catalog	1999-12-01	2016-11-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677735-LARC.umm_json	MIL3YLS_4 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Land Product covering a year version 4. It contains a statistical summary of directional hemispherical reflectance (DHR), photosynthetically active spectral region (DHR-PAR), DHR for near-infrared band (DHR-NIR), fractional absorbed photosynthetically active radiation (FPAR), DHR-based normalized difference vegetation index (NDVI), and land surface bidirectional reflectance factor (BRF) model parameters, classified into six vegetated and one non-vegetated types. This data product is a global summary of relevant Level 2 land/surface parameters, averaged over a year and reported on a geographic grid, with resolution of 0.5 degree by 0.5 degree. Data collection for this product was completed in November of 2016. This collection contains Leaf Area Index (LAI).  The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.  MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.	proprietary
+MIL3YRD_004	MISR Non-orderable MIL3YRD	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927806561-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
 MIL3YRD_005	MISR Level 3 Component Global Radiance Product covering a year V005	LARC STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677738-LARC.umm_json	This file contains the MISR Level 3 Component Global Radiance Product covering a year	proprietary
+MIL3YRD_005	MISR Level 3 Component Global Radiance Product covering a year V005	LARC_CLOUD STAC Catalog	1999-12-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873776171-LARC_CLOUD.umm_json	This file contains the MISR Level 3 Component Global Radiance Product covering a year	proprietary
 MIPOT_0	Mediterranean, Indian and Pacific Ocean Transect (MIPOT)	OB_DAAC STAC Catalog	2001-11-12		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360483-OB_DAAC.umm_json	Measurements made during Mediterranean, Indian and Pacific Ocean Transect (MIPOT) cruises in 2001.	proprietary
 MIRAI_0	Measurements made onboard the R/V MIRAI between 2000 and 2003	OB_DAAC STAC Catalog	2000-04-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360484-OB_DAAC.umm_json	Measurements made by the MIRAI research vessel in the JAMSTEC fleet between 2000 and 2003.	proprietary
+MIRCCHF_001	MISR Non-orderable MIRCCHF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927786745-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
 MIRCCMF_001	MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V001	LARC STAC Catalog	2000-12-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C135857530-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V001 contains the FIRSTLOOK Radiometric camera-by-camera Cloud Mask (RCCM) dataset produced using ancillary inputs  Radiometric Camera-by-camera Cloud mask Threshold (RCCT) from the previous time period. It is used to determine whether a scene is clear, cloudy or dusty (over ocean).	proprietary
-MIRCCMF_002	MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V002	LARC STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2788936281-LARC.umm_json	This is the FIRSTLOOK Radiometric Camera-by-camera Cloud Mask (RCCM) product.  It contains initial estimated classifications of pixels/regions as clear or cloudy.  It also has masks for the presence of glitter or dust.  The FIRSTLOOK RCCM product is superceded by the final RCCM product following seasonal calibration.	proprietary
+MIRCCMF_002	MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V002	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2788936281-LARC.umm_json	This is the FIRSTLOOK Radiometric Camera-by-camera Cloud Mask (RCCM) product.  It contains initial estimated classifications of pixels/regions as clear or cloudy.  It also has masks for the presence of glitter or dust.  The FIRSTLOOK RCCM product is superceded by the final RCCM product following seasonal calibration.	proprietary
+MIRCCMF_002	MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V002	LARC_CLOUD STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2854335241-LARC_CLOUD.umm_json	This is the FIRSTLOOK Radiometric Camera-by-camera Cloud Mask (RCCM) product.  It contains initial estimated classifications of pixels/regions as clear or cloudy.  It also has masks for the presence of glitter or dust.  The FIRSTLOOK RCCM product is superceded by the final RCCM product following seasonal calibration.	proprietary
+MIRCCM_004	MISR radiometric camera-by-camera Cloud Mask V004	LARC_CLOUD STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2951415957-LARC_CLOUD.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR radiometric camera-by-camera Cloud Mask V004 contains the Radiometric camera-by-camera Cloud Mask dataset. It is used to determine whether a scene is classified as clear or cloudy. A new parameter has been added to indicate dust over ocean. This version of the ESDT is used by MISR PGE 13.	proprietary
 MIRCCM_004	MISR radiometric camera-by-camera Cloud Mask V004	LARC STAC Catalog	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C73016614-LARC.umm_json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR radiometric camera-by-camera Cloud Mask V004 contains the Radiometric camera-by-camera Cloud Mask dataset. It is used to determine whether a scene is classified as clear or cloudy. A new parameter has been added to indicate dust over ocean. This version of the ESDT is used by MISR PGE 13.	proprietary
 MIRC_0	Marine Information Research Center (MIRC) measurements	OB_DAAC STAC Catalog	1999-07-05		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360485-OB_DAAC.umm_json	Measurements taken by the Marine Information Research Center (MIRC), a division of the Japan Hydrographic Association.	proprietary
-MISBR_005	MISR Browse data V005	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677744-LARC.umm_json	This is the browse data associated with a particular granule.	proprietary
+MISBR_005	MISR Browse data V005	LARC STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677744-LARC.umm_json	This is the browse data associated with a particular granule. MISBR_005 is the Multi-angle Imaging SpectroRadiometer (MISR) Browse data version 5. It consists of Ellipsoid color images obtained by each camera resampled to 2. 2 km resolution. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	proprietary
+MISBR_005	MISR Browse data V005	LARC_CLOUD STAC Catalog	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2873776776-LARC_CLOUD.umm_json	This is the browse data associated with a particular granule.	proprietary
+MISCALAA_001	MISR EDOS Non-orderable MISCALAA	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864050483-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISCALAF_001	MISR EDOS Non-orderable MISCALAF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864059940-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISCALAN_001	MISR EDOS Non-orderable MISCALAN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864066587-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISCALBA_001	MISR EDOS Non-orderable MISCALBA	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864072509-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISCALBF_001	MISR EDOS Non-orderable MISCALBF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864077777-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISCALCA_001	MISR EDOS Non-orderable MISCALCA	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864082227-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISCALCF_001	MISR EDOS Non-orderable MISCALCF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864134296-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISCALDA_001	MISR EDOS Non-orderable MISCALDA	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864139120-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISCALDF_001	MISR EDOS Non-orderable MISCALDF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864147588-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
 MISC_Apex_Floats_0	Miscellaneous Autonomous Profiling Explorer (APEX) floats measurements	OB_DAAC STAC Catalog	2004-06-17		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360486-OB_DAAC.umm_json	Measurements taken in the North Atlantic ocean by miscellaneous APEX floats between 2004 and 2007.	proprietary
+MISL0AA_001	MISR EDOS Non-orderable MISL0AA	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862790477-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0AF_001	MISR EDOS Non-orderable MISL0AF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862803019-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0AN_001	MISR EDOS Non-orderable MISL0AN	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862805917-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0BA_001	MISR EDOS Non-orderable MISL0BA	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862819514-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0BF_001	MISR EDOS Non-orderable MISL0BF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862824967-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0CAL_001	MISR EDOS Non-orderable MISL0CAL	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864036617-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0CA_001	MISR EDOS Non-orderable MISL0CA	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862829312-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0CF_001	MISR EDOS Non-orderable MISL0CF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862834959-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0DA_001	MISR EDOS Non-orderable MISL0DA	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862841437-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0DF_001	MISR EDOS Non-orderable MISL0DF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864024234-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0ENG_001	MISR EDOS Non-orderable MISL0ENG	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864028083-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0MTR_001	MISR EDOS Non-orderable MISL0MTR	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2864041371-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0SY1_001	MISR EDOS Non-orderable MISL0SY1	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862642711-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISL0SY2_001	MISR EDOS Non-orderable MISL0SY2	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2862678078-LARC_CLOUD.umm_json	MISR EDOS Non-orderable collection for ingest testing.	proprietary
+MISQAF_001	MISR Non-orderable MISQAF	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927790577-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
+MISQA_003	MISR Non-orderable MISQA	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2927793748-LARC_CLOUD.umm_json	MISR Non-orderable collection for ingest testing.	proprietary
 MISR_885_1	SAFARI 2000 MISR Level 2 Data, Southern Africa, Dry Season 2000	ORNL_CLOUD STAC Catalog	2000-08-12	2000-09-28	9.08, -35, 31.49, -15	https://cmr.earthdata.nasa.gov/search/concepts/C2788357139-ORNL_CLOUD.umm_json	MISR (Multi-angle Imaging SpectroRadiometer) views the sunlit Earth simultaneously at nine widely spaced and collects global images with high spatial detail in four colors at every angle. These images are carefully calibrated to provide accurate measures of the brightness, contrast, and color of reflected sunlight. The change in reflection at different view angles affords the means to distinguish different types of atmospheric particles (aerosols), cloud forms, and land surface covers. Combined with stereoscopic techniques, this enables construction of 3-dimensional models and more accurate estimates of the total amount of sunlight reflected by Earth's diverse environments.MISR was built for NASA by the Jet Propulsion Laboratory. It is part of NASA's Terra spacecraft, launched into a polar orbit around the Earth on December 18, 1999.The Southern African Fire Atmosphere Research Initiative (SAFARI) 2000 field campaign focused on the smoke and gases released into the environment of southern Africa by industrial, biological, and man-made sources such as biomass burning. The area of study and MISR path numbers include Botswana, Lesotho, Malawi, Mozambique, Namibia, South Africa, Swaziland, Zambia, and Zimbabwe. These MISR data cover the period August 12 through September 28, 2000.	proprietary
 MISR_AEROSOL_CLIM_1	MISR monthly, global 1 x 1 deg grid 'Clim-Likely' aerosol climatology, derived from 'typical-year' aerosol transport model results available in 1999. (MISR_AEROSOL_CLIM)	LARC_ASDC STAC Catalog	1999-01-01	2000-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1536056466-LARC_ASDC.umm_json	MISR monthly, global 1 x 1 deg grid 'Clim-Likely' aerosol climatology, derived from 'typical-year' aerosol transport model results available in 1999.	proprietary
 MISR_Forest_AGB_SW_US_1978_1	Forest Aboveground Biomass for the Southwestern U.S. from MISR, 2000-2021	ORNL_CLOUD STAC Catalog	2000-05-15	2021-06-30	-126.18, 28.6, -99.02, 46.28	https://cmr.earthdata.nasa.gov/search/concepts/C2515861985-ORNL_CLOUD.umm_json	This dataset provides estimates of forest aboveground biomass (AGB; in Mg ha-1) at a resolution of 250 m for the southwestern United States over the time period 2000-2021. The AGB estimates were derived from the Jet Propulsion Laboratory Multiangle Imaging Spectro-Radiometer (MISR) Level 1B2 Terrain radiance data and a multi-angle approach that exploits the relationship between forest AGB and a suite of red band reflectance values modeled at viewing angles with respect to the direction of illumination. The year 2000 National Biomass and Carbon Dataset (NBCD 2000) AGB estimates were used to fit a model coefficient for the MISR-derived AGB estimates for the year 2000, with AGB estimates for all subsequent years dependent on both this coefficient and MISR red band bidirectional reflectance factors (BRFs). Quality assurance (QA) files are also provided that allow users to impose criteria of varying stringency. The bidirectional reflectance distribution function (BRDF) model-fitting root mean square error (RMSE) value was used as one of the criteria to determine if the AGB estimates were reasonable. This dataset is the first example of forest AGB estimation based on a multi-angle index applied using MISR data.	proprietary
@@ -10657,25 +10883,45 @@ NARSTO_EPA_SS_HOUSTON_NO3_SO4_C_DATA_1	NARSTO EPA_SS_HOUSTON PM2.5 Nitrate, Sulf
 NARSTO_EPA_SS_HOUSTON_RAPID_SPMS_DATA_1	NARSTO EPA Supersite (SS) Houston, Rapid Single-Particle Mass Spectrometer (SPMS) Data	LARC_ASDC STAC Catalog	1999-08-25	2000-08-31	-95.18, 29.76, -95.18, 29.76	https://cmr.earthdata.nasa.gov/search/concepts/C2324344348-LARC_ASDC.umm_json	NARSTO_EPA_SS_HOUSTON_RAPID_SPMS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Rapid Single-Particle Mass Spectrometer Data. This product contains individual aerosol particles which were sized and analyzed using a Rapid Single-particle Mass Spectrometer (RSMS) in Houston during the summer of 2000. RSMS aerodynamically focuses one particle size at a time to the source region of a mass spectrometer and employs a 193 nm excimer laser to desorb and ionize the particle components. The ions are analyzed in a single time-of-flight mass spectrometer and the spectrum is digitally recorded. Spectra are only saved if the ion peak in the spectrum is above a threshold level. Background spectra were determined and flagged. Particle size scans were initiated periodically, and each size was sampled until 30 particle hits were obtained, unless the sampling time became excessive. Aerodynamic particle sizes ranged from about 40 to 1300 nm and were partitioned into nine discrete size classes logarithmically spaced, roughly, over the range.     Single particle data are valuable because they:  - are collected and analyzed real time so have excellent temporal resolution,  - enable assessment of particle-to-particle composition variations (external mixing properties),   - allow for easy identification of key particle sources since the particles retain source characteristics.     The data resulting from these measurements consisted of an aerodynamic particle size and a positive mass spectrum of the components for each particle, along with the date and time of measurement and other incidental measurement parameters such as the laser pulse energy. Support for RSMS measurements was provided by the EPA Supersite program and additional funding from the EPA. The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the EPA to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine PM, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_HOUSTON_TEXAQS2000_CAMS_DATA_1	NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Texas Natural Resource Conservation Commission (TNRCC) continuous ambient monitoring stations (CAMS) Air Quality Data	LARC_ASDC STAC Catalog	2000-08-02	2000-09-30	-98.62, 27.76, -93.76, 33.36	https://cmr.earthdata.nasa.gov/search/concepts/C2349162385-LARC_ASDC.umm_json	NARSTO_EPA_HOUSTON_TEXAQS2000_CAMS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Texas Natural Resource Conservation Commission (TNRCC) continuous ambient monitoring stations (CAMS) Air Quality Data. This data set contains 5-minute air quality measurements collected in Texas during August and September 2000 at 85 CAMS during TEXAQS2000. Measurements include carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxide (NO), nitrogen dioxide (NO2), oxides of nitrogen (NOx), total reactive nitrogen species (NOy), ozone, particulate matter (PM) 2.5 mass, hydrogen sulfide (H2S), wind speed, wind direction, maximum wind gust, air temperature, dewpoint temperature, humidity, precipitation, surface pressure, radiation, and visibility. CAMS are operated by the Texas Commission on Environmental Quality (TCEQ), local city or county governments, or private monitoring networks. Important monitoring site information: The site information data table in each of the 85 data files may not contain the latest TCEQ site information. A companion file site information spreadsheet (.csv) that lists data for all 85 sites is the latest TCEQ site information. The site information data tables in the 85 data files will not be updated. The 85 site spreadsheet companion document is the official source of site data, and this data is listed in the TEXAQS2000 CAMS guide document.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_HOUSTON_TEXAQS2000_DOE_G-1_DATA_1	NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Department of Energy (DOE) G-1 Air Chemistry, Aerosol, and Met Data	LARC_ASDC STAC Catalog	2000-08-19	2000-09-12	-97.45, 28.46, -94.47, 31.68	https://cmr.earthdata.nasa.gov/search/concepts/C2338588309-LARC_ASDC.umm_json	NARSTO_EPA_SS_HOUSTON_TEXAQS2000_DOE_G-1_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Department of Energy (DOE) G-1 Air Chemistry, Aerosol, and Met Data.     Twenty research flights were made from August 18 to September 12, 2000.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_HOUSTON_TEXAQS2000_DOE_G-1_DATA_1	NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Department of Energy (DOE) G-1 Air Chemistry, Aerosol, and Met Data	LARC_CLOUD STAC Catalog	2000-08-19	2000-09-12	-97.45, 28.46, -94.47, 31.68	https://cmr.earthdata.nasa.gov/search/concepts/C3228971344-LARC_CLOUD.umm_json	NARSTO_EPA_SS_HOUSTON_TEXAQS2000_DOE_G-1_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Department of Energy (DOE) G-1 Air Chemistry, Aerosol, and Met Data.     Twenty research flights were made from August 18 to September 12, 2000.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_HOUSTON_TEXAQS2000_HCHO_H2O2_DATA_1	NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Formaldehyde and Hydrogen Peroxide Data	LARC_CLOUD STAC Catalog	2000-08-12	2000-09-25	-95.18, 29.77, -95.18, 29.77	https://cmr.earthdata.nasa.gov/search/concepts/C3228971313-LARC_CLOUD.umm_json	NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Formaldehyde and Hydrogen Peroxide Data. It contains continuous formaldehyde (HCHO) and hydrogen peroxide (H2O2) measurements collected in August - September 2000 during TEXAQS2000 at the Houston Regional Monitoring (HRM) Site 3 monitoring station. Integrated single point measurements of 3-minute samples were collected every 10 minutes.     The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_HOUSTON_TEXAQS2000_HCHO_H2O2_DATA_1	NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Formaldehyde and Hydrogen Peroxide Data	LARC_ASDC STAC Catalog	2000-08-12	2000-09-25	-95.18, 29.77, -95.18, 29.77	https://cmr.earthdata.nasa.gov/search/concepts/C2349187627-LARC_ASDC.umm_json	NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Formaldehyde and Hydrogen Peroxide Data. It contains continuous formaldehyde (HCHO) and hydrogen peroxide (H2O2) measurements collected in August - September 2000 during TEXAQS2000 at the Houston Regional Monitoring (HRM) Site 3 monitoring station. Integrated single point measurements of 3-minute samples were collected every 10 minutes.     The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM25_ORG_DATA_1	NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Particulate Matter (PM) 2.5 Organic Speciation Data	LARC_CLOUD STAC Catalog	2000-08-15	2000-09-15	-95.32, 29.66, -95.06, 29.9	https://cmr.earthdata.nasa.gov/search/concepts/C3228971274-LARC_CLOUD.umm_json	The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM25_ORG_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Particulate Matter (PM) 2.5 Organic Speciation Data. This file contains 24-hour integrated organic speciation of fine particulate matter (PM2.5) collected August 15, 2000 through September 30, 2000 at the HRM Site 3, Aldine, and La Porte Houston Supersite monitoring locations during TexAQS2000. The filters were extracted with hexane and benzene: isopropanol. Polar compounds were analyzed after derivatization with either diazomethane or bis-trimethylsilyl-trifluoroacetamide. All compounds were quantified by gas chromatography-mass spectrometry. The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM25_ORG_DATA_1	NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Particulate Matter (PM) 2.5 Organic Speciation Data	LARC_ASDC STAC Catalog	2000-08-15	2000-09-15	-95.32, 29.66, -95.06, 29.9	https://cmr.earthdata.nasa.gov/search/concepts/C2349199801-LARC_ASDC.umm_json	The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM25_ORG_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Particulate Matter (PM) 2.5 Organic Speciation Data. This file contains 24-hour integrated organic speciation of fine particulate matter (PM2.5) collected August 15, 2000 through September 30, 2000 at the HRM Site 3, Aldine, and La Porte Houston Supersite monitoring locations during TexAQS2000. The filters were extracted with hexane and benzene: isopropanol. Polar compounds were analyzed after derivatization with either diazomethane or bis-trimethylsilyl-trifluoroacetamide. All compounds were quantified by gas chromatography-mass spectrometry. The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_FTIR_1	NARSTO EPA_SS_HOUSTON TEXAQS2000 Particulate Matter FTIR Composition	LARC_ASDC STAC Catalog	2000-08-05	2000-09-13	-96, 29, -93, 30.5	https://cmr.earthdata.nasa.gov/search/concepts/C1000000102-LARC_ASDC.umm_json	The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_FTIR measurement data consist of absolute absorbance areas for organonitrates, sulfate, aliphatic carbon and carbonyl compounds for size segregated particulate matter collected using a Herring Low Pressure Impactor (LPI). These data were collected during August and September 2000 at the Houston PM Supersite locations (LaPorte, HRM3, and Aldine) during the Texas Air Quality Study 2000 (TexAQS).The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
+NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_FTIR_1	NARSTO EPA_SS_HOUSTON TEXAQS2000 Particulate Matter FTIR Composition	LARC_CLOUD STAC Catalog	2000-08-05	2000-09-13	-96, 29, -93, 30.5	https://cmr.earthdata.nasa.gov/search/concepts/C3228971153-LARC_CLOUD.umm_json	The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_FTIR measurement data consist of absolute absorbance areas for organonitrates, sulfate, aliphatic carbon and carbonyl compounds for size segregated particulate matter collected using a Herring Low Pressure Impactor (LPI). These data were collected during August and September 2000 at the Houston PM Supersite locations (LaPorte, HRM3, and Aldine) during the Texas Air Quality Study 2000 (TexAQS).The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
 NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS_1	NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Size-specific Particulate Matter (PM) Mass Concentration Data	LARC_ASDC STAC Catalog	2000-08-17	2000-09-13	-95.18, 29.66, -95.06, 29.76	https://cmr.earthdata.nasa.gov/search/concepts/C2349207772-LARC_ASDC.umm_json	NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Size-specific Particulate Matter (PM) Mass Concentration Data. This file reports size segregated mass particulate data collected with a micro-orifice uniform deposit impactors (MOUDI) sampler during the TexAQS2000 at the Houston Regional Monitoring (HRM) Site 3 and LaPorte Houston Supersite monitoring locations. Daily MOUDI sampling began on August 17, 2000 and ended on September 13, 2000. The MOUDI is a model 100 rotating micro-orifice uniform deposit impactor from MSP Corporation. The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended PM. The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine PM, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS_1	NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Size-specific Particulate Matter (PM) Mass Concentration Data	LARC_CLOUD STAC Catalog	2000-08-17	2000-09-13	-95.18, 29.66, -95.06, 29.76	https://cmr.earthdata.nasa.gov/search/concepts/C3228971303-LARC_CLOUD.umm_json	NARSTO_EPA_SS_HOUSTON_TEXAQS2000_PM_SIZE_MASS is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Size-specific Particulate Matter (PM) Mass Concentration Data. This file reports size segregated mass particulate data collected with a micro-orifice uniform deposit impactors (MOUDI) sampler during the TexAQS2000 at the Houston Regional Monitoring (HRM) Site 3 and LaPorte Houston Supersite monitoring locations. Daily MOUDI sampling began on August 17, 2000 and ended on September 13, 2000. The MOUDI is a model 100 rotating micro-orifice uniform deposit impactor from MSP Corporation. The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended PM. The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine PM, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL_1	NARSTO EPA_SS_HOUSTON TEXAQS2000 Washburn Tunnel Air Quality Monitoring Data	LARC_ASDC STAC Catalog	2000-08-29	2000-09-01	-96, 29, -93, 30.5	https://cmr.earthdata.nasa.gov/search/concepts/C1000000123-LARC_ASDC.umm_json	The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL data contain gas and particle phase measurements collected in a tunnel in the Houston area during the summer of 2000. The primary objective of this study was to provide data for estimating vehicular emission factors and composition profiles as part of the TexAQS2000 program. Measurements were collected on each day from August 29, 2000 (Tuesday) through September 1, 2000 (Friday). Sampling was conducted during the 1200 - 1400 CDT and 1600 - 1800 CDT time periods each day. Measurements collected during the study included nitrogen oxides, carbon dioxide, carbon monoxide, ammonia, fine particulate matter (PM2.5), and individual hydrocarbon species.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
+NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL_1	NARSTO EPA_SS_HOUSTON TEXAQS2000 Washburn Tunnel Air Quality Monitoring Data	LARC_CLOUD STAC Catalog	2000-08-29	2000-09-01	-96, 29, -93, 30.5	https://cmr.earthdata.nasa.gov/search/concepts/C3228971305-LARC_CLOUD.umm_json	The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL data contain gas and particle phase measurements collected in a tunnel in the Houston area during the summer of 2000. The primary objective of this study was to provide data for estimating vehicular emission factors and composition profiles as part of the TexAQS2000 program. Measurements were collected on each day from August 29, 2000 (Tuesday) through September 1, 2000 (Friday). Sampling was conducted during the 1200 - 1400 CDT and 1600 - 1800 CDT time periods each day. Measurements collected during the study included nitrogen oxides, carbon dioxide, carbon monoxide, ammonia, fine particulate matter (PM2.5), and individual hydrocarbon species.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
+NARSTO_EPA_SS_LOS_ANGELES_AETHALOMETER_EC_DATA_1	NARSTO EPA Supersite (SS) Los Angeles Aethalometer Elemental Carbon Data	LARC_CLOUD STAC Catalog	2000-09-15	2003-10-16	-118.16, 33.93, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C3228971225-LARC_CLOUD.umm_json	NARSTO_EPA_SS_LOS_ANGELES_AETHALOMETER_EC_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Aethalometer Elemental Carbon Data. Data was collected between September 2000 to October 2003 at Claremont, Downey, Riverside, Rubidoux, and the University of Southern California (USC) in Los Angeles County, California. The Magee Scientific AE-2 series dual beam aethalometer was used in a mobile trailer to collect mass concentrations of optically absorbing black carbon particles in the submicron size range during September 15, 2000 to October 16, 2003. The Aethalometer collected aerosol continuously on quartz fiber paper and determined the increment of optically absorbing black carbon per unit volume of sampled air every 5 minutes. The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin (LAB ). The EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_LOS_ANGELES_AETHALOMETER_EC_DATA_1	NARSTO EPA Supersite (SS) Los Angeles Aethalometer Elemental Carbon Data	LARC_ASDC STAC Catalog	2000-09-15	2003-10-16	-118.16, 33.93, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C2350065550-LARC_ASDC.umm_json	NARSTO_EPA_SS_LOS_ANGELES_AETHALOMETER_EC_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Aethalometer Elemental Carbon Data. Data was collected between September 2000 to October 2003 at Claremont, Downey, Riverside, Rubidoux, and the University of Southern California (USC) in Los Angeles County, California. The Magee Scientific AE-2 series dual beam aethalometer was used in a mobile trailer to collect mass concentrations of optically absorbing black carbon particles in the submicron size range during September 15, 2000 to October 16, 2003. The Aethalometer collected aerosol continuously on quartz fiber paper and determined the increment of optically absorbing black carbon per unit volume of sampled air every 5 minutes. The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin (LAB ). The EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_LOS_ANGELES_APS_DATA_1	NARSTO EPA_SS_LOS_ANGELES Aerodynamic Particle Size Data	LARC_ASDC STAC Catalog	2000-12-08	2001-09-08	-118.2, 33.9, -117.3, 34.2	https://cmr.earthdata.nasa.gov/search/concepts/C1000000093-LARC_ASDC.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_APS_DATA were collected between December 2000 and September 2001. At several locations in Los Angeles County, California, a TSI Aerodynamic Particle Sizer (APS) was used in a mobile trailer to collect size characteristics of particles ranging from about 0.5 to 20 mm. Based on the time-of-flight principle, the APS measured particle count concentrations for 52 channels that cover sizes from 0.5 to 20 mm in every 15 minutes. Note that the first channel reports particle count concentrations for sizes < 0.523 mm.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
+NARSTO_EPA_SS_LOS_ANGELES_APS_DATA_1	NARSTO EPA_SS_LOS_ANGELES Aerodynamic Particle Size Data	LARC_CLOUD STAC Catalog	2000-12-08	2001-09-08	-118.2, 33.9, -117.3, 34.2	https://cmr.earthdata.nasa.gov/search/concepts/C3228970979-LARC_CLOUD.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_APS_DATA were collected between December 2000 and September 2001. At several locations in Los Angeles County, California, a TSI Aerodynamic Particle Sizer (APS) was used in a mobile trailer to collect size characteristics of particles ranging from about 0.5 to 20 mm. Based on the time-of-flight principle, the APS measured particle count concentrations for 52 channels that cover sizes from 0.5 to 20 mm in every 15 minutes. Note that the first channel reports particle count concentrations for sizes < 0.523 mm.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
+NARSTO_EPA_SS_LOS_ANGELES_HEADS_PART_IONS_MASS_1	NARSTO EPA Supersite (SS) Los Angeles Harvard/EPA Annular Denuder System (HEADS) Data	LARC_CLOUD STAC Catalog	2001-03-14	2003-06-11	-117.72, 33.96, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C3228971246-LARC_CLOUD.umm_json	NARSTO_EPA_SS_LOS_ANGELES_HEADS_PART_IONS_MASS is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Harvard/EPA Annular Denuder System (HEADS) Data product. This product was collected between December 2001 and June 2003. The HEADS model URG-2000-30DI was used to collect the Particulate Matter (PM) 2.5 mass concentration data episodically from December 6, 2001 - August 21, 2002. It was also used to collect sulfate and nitrate ions at Claremont from September 28, 2001 - August 6, 2002, at Riverside from March 14 - June 6 2001, and the University of Southern California from October 8, 2002 - June 11, 2003. HEADS uses chemically coated annular denuder tubes to selectively remove gaseous pollutants before PM. The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin (LAB). The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_LOS_ANGELES_HEADS_PART_IONS_MASS_1	NARSTO EPA Supersite (SS) Los Angeles Harvard/EPA Annular Denuder System (HEADS) Data	LARC_ASDC STAC Catalog	2001-03-14	2003-06-11	-117.72, 33.96, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C2338659926-LARC_ASDC.umm_json	NARSTO_EPA_SS_LOS_ANGELES_HEADS_PART_IONS_MASS is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Harvard/EPA Annular Denuder System (HEADS) Data product. This product was collected between December 2001 and June 2003. The HEADS model URG-2000-30DI was used to collect the Particulate Matter (PM) 2.5 mass concentration data episodically from December 6, 2001 - August 21, 2002. It was also used to collect sulfate and nitrate ions at Claremont from September 28, 2001 - August 6, 2002, at Riverside from March 14 - June 6 2001, and the University of Southern California from October 8, 2002 - June 11, 2003. HEADS uses chemically coated annular denuder tubes to selectively remove gaseous pollutants before PM. The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin (LAB). The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_LOS_ANGELES_MOUDI_DATA_1	NARSTO EPA Supersite (SS) Los Angeles Size-Fractionated Particulate Matter (PM) Composition - micro-orifice uniform deposit impactors (MOUDI) Data	LARC_CLOUD STAC Catalog	2000-10-03	2003-09-19	-118.16, 33.93, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C3228971174-LARC_CLOUD.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_MOUDI_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Size-Fractionated Particulate Matter (PM) Composition - micro-orifice uniform deposit impactors (MOUDI) Data product. Data for this collection was collected between late 2000 and late 2003 from sites at Downey, Claremont, Riverside, Rubidoux, and the University of Southern California (USC). Samples were typically collected for a one-day period, but in some cases, duration was less than or more than one day. Element/metals, carbon, nitrate/sulfate ion, and mass concentration data were obtained. The MOUDI is a multiple stage inertial cascade impactor. At each stage, particles larger than the cut point of the stage are collected on the impaction plate while smaller particles pass through to the next stage. This continues through the cascade impactor until the smallest particles are collected on the after filter. At Downey, a size range of 10um to 0um was collected (10.0-2.5um, 2.5-1.0um, 1.0-0.32um, 0.32-0um). Most of the 10.0-2.5um size range samples were eliminated at Claremont, Riverside, Rubidoux, and USC because this size range was collected using the Partisol sampler. All samples were analyzed using X-ray florescence and mass concentration analysis at an independent laboratory.     The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin. The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_LOS_ANGELES_MOUDI_DATA_1	NARSTO EPA Supersite (SS) Los Angeles Size-Fractionated Particulate Matter (PM) Composition - micro-orifice uniform deposit impactors (MOUDI) Data	LARC_ASDC STAC Catalog	2000-10-03	2003-09-19	-118.16, 33.93, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C2338659957-LARC_ASDC.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_MOUDI_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Size-Fractionated Particulate Matter (PM) Composition - micro-orifice uniform deposit impactors (MOUDI) Data product. Data for this collection was collected between late 2000 and late 2003 from sites at Downey, Claremont, Riverside, Rubidoux, and the University of Southern California (USC). Samples were typically collected for a one-day period, but in some cases, duration was less than or more than one day. Element/metals, carbon, nitrate/sulfate ion, and mass concentration data were obtained. The MOUDI is a multiple stage inertial cascade impactor. At each stage, particles larger than the cut point of the stage are collected on the impaction plate while smaller particles pass through to the next stage. This continues through the cascade impactor until the smallest particles are collected on the after filter. At Downey, a size range of 10um to 0um was collected (10.0-2.5um, 2.5-1.0um, 1.0-0.32um, 0.32-0um). Most of the 10.0-2.5um size range samples were eliminated at Claremont, Riverside, Rubidoux, and USC because this size range was collected using the Partisol sampler. All samples were analyzed using X-ray florescence and mass concentration analysis at an independent laboratory.     The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin. The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities.     Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_LOS_ANGELES_PARTISOL_DATA_1	NARSTO EPA Supersite (SS) Los Angeles Particulate Matter (PM) 2.5-10 Composition and Mass Data	LARC_ASDC STAC Catalog	2000-10-03	2003-09-19	-118.16, 33.93, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C2338659983-LARC_ASDC.umm_json	NARSTO_EPA_SS_LOS_ANGELES_PARTISOL_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Particulate Matter (PM) 2.5-10 Composition and Mass Data product. Data was collected using Partisol Model 2025-D samplers between late 2000 and late 2003 from sites at Downey, Claremont, Riverside, Rubidoux, and the University of Southern California (USC). Samples were collected episodically, frequently for a 24-hour per period, but in some cases multiple samples were collected over the course of a day. Element/metals, nitrate/sulfate ion, and mass concentration data were obtained. The Partisol is a dichotomous sequential multi-filter air sampler. It uses a virtual impactor to divide the air stream to facilitate the collection of fine (0.0-2.5um) and coarse (2.5-10.0um) particles onto a filter media over a pre-programmed collection period. The coarse fraction was analyzed using X-ray fluorescence and mass concentration analysis. Ion chromatography and mass concentration analyses were performed on the fine fraction. The overall objective of the Southern California Supersite (SCS) was to conduct research and monitoring that contributed to a better understanding of the measurement, sources, size distribution, chemical composition, physical state, spatial and temporal variability, and health effects of suspended PM in the Los Angeles Basin (LAB). Intensive aerosol measurements, well beyond the traditional PM2.5 mass, sulfate and nitrate concentrations, were conducted in several areas of the LAB. These included particle number concentrations, size distributions, and detailed PM chemical composition as a function of particle size. Sampling locations were chosen to provide wide geographical and seasonal coverage, including urban source sites and downwind receptor sites.     The primary sampling facility, a mobile Particle Instrumentation Unit (PIU), was deployed to several locations to conduct a wide range of PM measurements. Sampling in each site lasted for 6-12 months. Intensive PM measurements were also conducted up and downwind of several freeways of the LAB, to characterize near-roadway exposure environments and to support several in vivo and in vitro health studies. The monitoring activities of the SCS were linked with toxicology studies in the LAB using a mobile PM Concentrator facility to investigate health effects associated with exposures to ultrafine, fine and coarse particles. Finally, the PIU facility was successfully used as a platform to develop, test, and evaluate numerous PM measurement instruments and sampling technologies, including several monitors for semi-continuous size fractionated mass and chemistry, personal PM exposure monitors, particle concentration technologies, and particle counting devices.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_LOS_ANGELES_PARTISOL_DATA_1	NARSTO EPA Supersite (SS) Los Angeles Particulate Matter (PM) 2.5-10 Composition and Mass Data	LARC_CLOUD STAC Catalog	2000-10-03	2003-09-19	-118.16, 33.93, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C3228971219-LARC_CLOUD.umm_json	NARSTO_EPA_SS_LOS_ANGELES_PARTISOL_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Particulate Matter (PM) 2.5-10 Composition and Mass Data product. Data was collected using Partisol Model 2025-D samplers between late 2000 and late 2003 from sites at Downey, Claremont, Riverside, Rubidoux, and the University of Southern California (USC). Samples were collected episodically, frequently for a 24-hour per period, but in some cases multiple samples were collected over the course of a day. Element/metals, nitrate/sulfate ion, and mass concentration data were obtained. The Partisol is a dichotomous sequential multi-filter air sampler. It uses a virtual impactor to divide the air stream to facilitate the collection of fine (0.0-2.5um) and coarse (2.5-10.0um) particles onto a filter media over a pre-programmed collection period. The coarse fraction was analyzed using X-ray fluorescence and mass concentration analysis. Ion chromatography and mass concentration analyses were performed on the fine fraction. The overall objective of the Southern California Supersite (SCS) was to conduct research and monitoring that contributed to a better understanding of the measurement, sources, size distribution, chemical composition, physical state, spatial and temporal variability, and health effects of suspended PM in the Los Angeles Basin (LAB). Intensive aerosol measurements, well beyond the traditional PM2.5 mass, sulfate and nitrate concentrations, were conducted in several areas of the LAB. These included particle number concentrations, size distributions, and detailed PM chemical composition as a function of particle size. Sampling locations were chosen to provide wide geographical and seasonal coverage, including urban source sites and downwind receptor sites.     The primary sampling facility, a mobile Particle Instrumentation Unit (PIU), was deployed to several locations to conduct a wide range of PM measurements. Sampling in each site lasted for 6-12 months. Intensive PM measurements were also conducted up and downwind of several freeways of the LAB, to characterize near-roadway exposure environments and to support several in vivo and in vitro health studies. The monitoring activities of the SCS were linked with toxicology studies in the LAB using a mobile PM Concentrator facility to investigate health effects associated with exposures to ultrafine, fine and coarse particles. Finally, the PIU facility was successfully used as a platform to develop, test, and evaluate numerous PM measurement instruments and sampling technologies, including several monitors for semi-continuous size fractionated mass and chemistry, personal PM exposure monitors, particle concentration technologies, and particle counting devices.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_LOS_ANGELES_PM25_CARBON_1	NARSTO EPA_SS_LOS_ANGELES PM2.5 Particulate Carbon	LARC_CLOUD STAC Catalog	2002-01-14	2002-05-24	-117.7, 34.13, -117.7, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C3228971250-LARC_CLOUD.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_PM25_CARBON data were collected between January and May 2002. At Claremont (Los Angeles County, California), Cascaded Integrated Collection and Vaporization System for Particulate Carbon (ICVS for Carbon) was used in a mobile trailer to collect PM2.5 particulate carbon data during January 14, 2002 to May 24, 2002. The ICVS for Carbon measured PM2.5 particulate carbon data that cover sizes from 0.1-2.5um in every 10 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
 NARSTO_EPA_SS_LOS_ANGELES_PM25_CARBON_1	NARSTO EPA_SS_LOS_ANGELES PM2.5 Particulate Carbon	LARC_ASDC STAC Catalog	2002-01-14	2002-05-24	-117.7, 34.13, -117.7, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C1000000103-LARC_ASDC.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_PM25_CARBON data were collected between January and May 2002. At Claremont (Los Angeles County, California), Cascaded Integrated Collection and Vaporization System for Particulate Carbon (ICVS for Carbon) was used in a mobile trailer to collect PM2.5 particulate carbon data during January 14, 2002 to May 24, 2002. The ICVS for Carbon measured PM2.5 particulate carbon data that cover sizes from 0.1-2.5um in every 10 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
+NARSTO_EPA_SS_LOS_ANGELES_PM25_NITRATE_1	NARSTO EPA_SS_LOS_ANGELES PM2.5 Particulate Nitrate	LARC_CLOUD STAC Catalog	2001-07-11	2002-01-11	-117.7, 33.99, -117.41, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C3228971223-LARC_CLOUD.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_PM25_NITRATE data were collected between July 2001 and January 2002. At Claremont and Rubidoux (Los Angeles County, California), Cascaded Integrated Collection and Vaporization System for Particulate Nitrate (ICVS for Nitrate) was used in a mobile trailer to collect PM2.5 particulate nitrate data during July 11, 2001 to January 11, 2002. The ICVS for Nitrate measured PM2.5 particulate nitrate data that cover sizes from 0.1-2.5um in every 10 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
 NARSTO_EPA_SS_LOS_ANGELES_PM25_NITRATE_1	NARSTO EPA_SS_LOS_ANGELES PM2.5 Particulate Nitrate	LARC_ASDC STAC Catalog	2001-07-11	2002-01-11	-117.7, 33.99, -117.41, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C1000000104-LARC_ASDC.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_PM25_NITRATE data were collected between July 2001 and January 2002. At Claremont and Rubidoux (Los Angeles County, California), Cascaded Integrated Collection and Vaporization System for Particulate Nitrate (ICVS for Nitrate) was used in a mobile trailer to collect PM2.5 particulate nitrate data during July 11, 2001 to January 11, 2002. The ICVS for Nitrate measured PM2.5 particulate nitrate data that cover sizes from 0.1-2.5um in every 10 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
+NARSTO_EPA_SS_LOS_ANGELES_SMPS_DATA_1	NARSTO EPA_SS_LOS_ANGELES Scanning Mobility Particle Size Data	LARC_CLOUD STAC Catalog	2000-12-08	2002-02-22	-118.2, 33.9, -117.3, 34.2	https://cmr.earthdata.nasa.gov/search/concepts/C3228970880-LARC_CLOUD.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_SMPS_DATA were collected between December 2000 and February 2002. At Claremont, Downey, Riverside, Rubidoux (Los Angeles County, California), TSI Scanning mobility particle sizer (SMPS) was used in a mobile trailer to collect size characteristics of particles ranging from about 0.014 to 0.673 mm during December 8, 2000 to February 22, 2002. The SMPS measured particle count concentrations for 54 to 108 channels that cover sizes from 0.014 to 0.673 mm in every 15 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
 NARSTO_EPA_SS_LOS_ANGELES_SMPS_DATA_1	NARSTO EPA_SS_LOS_ANGELES Scanning Mobility Particle Size Data	LARC_ASDC STAC Catalog	2000-12-08	2002-02-22	-118.2, 33.9, -117.3, 34.2	https://cmr.earthdata.nasa.gov/search/concepts/C1000000094-LARC_ASDC.umm_json	The NARSTO_EPA_SS_LOS_ANGELES_SMPS_DATA were collected between December 2000 and February 2002. At Claremont, Downey, Riverside, Rubidoux (Los Angeles County, California), TSI Scanning mobility particle sizer (SMPS) was used in a mobile trailer to collect size characteristics of particles ranging from about 0.014 to 0.673 mm during December 8, 2000 to February 22, 2002. The SMPS measured particle count concentrations for 54 to 108 channels that cover sizes from 0.014 to 0.673 mm in every 15 minutes.The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
 NARSTO_EPA_SS_LOS_ANGELES_TEOM_PM25_DATA_1	NARSTO EPA Supersite (SS) Los Angeles Tapered-Element Oscillating Microbalance (TEOM) Particulate Matter (PM) 2.5 Mass Concentration Data	LARC_ASDC STAC Catalog	2000-12-19	2002-09-03	-118.16, 33.92, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C2350074641-LARC_ASDC.umm_json	NARSTO_EPA_SS_LOS_ANGELES_TEOM_PM25_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Tapered-Element Oscillating Microbalance (TEOM) Particulate Matter (PM) 2.5 Mass Concentration Data. It was collected between December 2000 and September 2002 using a Tapered-Element Oscillating Microbalance (TEOM). At Downey and Riverside (Los Angeles County, California), the standard TEOM Model 1400a was used in a mobile trailer to collect PM2.5 mass concentration data every 30 minutes during December 19, 2000 to May 22, 2001. At Claremont and Rubidoux (Los Angeles County, California), Differential TEOM (proto-type) was used in a mobile trailer to collect hourly PM2.5 mass concentration data during August 17, 2001 to September 3, 2002. The overall objective of the Los Angeles Super Site in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.    The U.S. EPA Particulate Matter (PM) Super Sites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_LOS_ANGELES_TEOM_PM25_DATA_1	NARSTO EPA Supersite (SS) Los Angeles Tapered-Element Oscillating Microbalance (TEOM) Particulate Matter (PM) 2.5 Mass Concentration Data	LARC_CLOUD STAC Catalog	2000-12-19	2002-09-03	-118.16, 33.92, -117.33, 34.13	https://cmr.earthdata.nasa.gov/search/concepts/C3228971304-LARC_CLOUD.umm_json	NARSTO_EPA_SS_LOS_ANGELES_TEOM_PM25_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Los Angeles Tapered-Element Oscillating Microbalance (TEOM) Particulate Matter (PM) 2.5 Mass Concentration Data. It was collected between December 2000 and September 2002 using a Tapered-Element Oscillating Microbalance (TEOM). At Downey and Riverside (Los Angeles County, California), the standard TEOM Model 1400a was used in a mobile trailer to collect PM2.5 mass concentration data every 30 minutes during December 19, 2000 to May 22, 2001. At Claremont and Rubidoux (Los Angeles County, California), Differential TEOM (proto-type) was used in a mobile trailer to collect hourly PM2.5 mass concentration data during August 17, 2001 to September 3, 2002. The overall objective of the Los Angeles Super Site in Southern California Particle Center and Supersite (SCPCS) is to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin.    The U.S. EPA Particulate Matter (PM) Super Sites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_NEW_YORK_AIR_CHEM_PM_MET_DATA_1	NARSTO EPA Supersite (SS) New York Air Chemistry, Particulate Matter, and Meteorological Data	LARC_ASDC STAC Catalog	2000-01-01	2006-01-01	-77.21, 40.7, -73.7, 44.39	https://cmr.earthdata.nasa.gov/search/concepts/C2338660009-LARC_ASDC.umm_json	NARSTO_EPA_SS_NEW_YORK_AIR_CHEM_PM_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) New York Air Chemistry, Particulate Matter, and Meteorological Data. It was collected between 2001 and 2006 during the PM2.5 Technology Assessment and Characterization Study in New York State (PMTACS-NY). Data files from all components of the PMTACS-NY Supersite program are archived in this single data set. The PMTACS-NY Supersite program provided a unique and unparalleled opportunity to enhance our understanding of ozone/PM2.5-precursor relationships and track progress in current precursor emission control programs and assess their effectiveness in achieving expected air quality responses. The impact of this research is highly significant, providing a sound scientific basis for informed effective decisions in the management of air quality in New York and significant benefit to its citizens - both environmentally and economically. The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_NEW_YORK_AIR_CHEM_PM_MET_DATA_1	NARSTO EPA Supersite (SS) New York Air Chemistry, Particulate Matter, and Meteorological Data	LARC_CLOUD STAC Catalog	2000-01-01	2006-01-01	-77.21, 40.7, -73.7, 44.39	https://cmr.earthdata.nasa.gov/search/concepts/C3228971221-LARC_CLOUD.umm_json	NARSTO_EPA_SS_NEW_YORK_AIR_CHEM_PM_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) New York Air Chemistry, Particulate Matter, and Meteorological Data. It was collected between 2001 and 2006 during the PM2.5 Technology Assessment and Characterization Study in New York State (PMTACS-NY). Data files from all components of the PMTACS-NY Supersite program are archived in this single data set. The PMTACS-NY Supersite program provided a unique and unparalleled opportunity to enhance our understanding of ozone/PM2.5-precursor relationships and track progress in current precursor emission control programs and assess their effectiveness in achieving expected air quality responses. The impact of this research is highly significant, providing a sound scientific basis for informed effective decisions in the management of air quality in New York and significant benefit to its citizens - both environmentally and economically. The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_PITTSBURGH_GAS_PM_PROPERTY_DATA_1	NARSTO EPA Supersite (SS) Pittsburgh Gas Concentration and Particulate matter (PM) Physical Properties Data	LARC_ASDC STAC Catalog	2001-05-23	2002-09-01	-79.94, 40.44, -79.94, 40.44	https://cmr.earthdata.nasa.gov/search/concepts/C2350080114-LARC_ASDC.umm_json	NARSTO_EPA_SS_PITTSBURGH_GAS_PM_PROPERTY_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite Pittsburgh Gas Concentration and Particulate matter (PM) Physical Properties Data product. Data was obtained between May 23, 2001 and September 1, 2002 during the Pittsburgh Air Quality Study (PAQS). The data set provides Particulate Matter Composition Data of the following types:   1) Total, Organic, and Hydrogen Peroxide data   2) Filter based measurement of PM10 and PM2.5 Mass concentration using a Dichotomous sampler   3) Epiphaniometer total particle active surface area  4) Filter based measurement of PM2.5 Mass using the Federal Reference Method  5) Integrating nephelometer based measurement of PM2.5 light scattering  6) TSI Scanning Mobility Particle Sizer (Long-column/model 3936L10)  7) Measurements of PM mass size distribution using a MOUDI cascade impactor  8) In-situ VOC measurements by pre-concentration and gc/msd/fid9) Surface air concentrations of O3, NO, NOx, SO2, CO, and PM2.5 mass.     Pittsburgh Air Quality Study (PAQS), along with the Pittsburgh Supersite Program, was a comprehensive, multi-disciplinary investigation to characterize the ambient PM in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The Pittsburgh supersite was designed to achieve several objectives: to determine the physical and chemical characteristics of PM in the Pittsburgh region; to develop and evaluate the next generation of atmospheric aerosol monitoring techniques; to update emission profiles for important regional sources; to quantify the impact of the various sources on the local PM concentrations; and to predict changes in the PM characteristics due to proposed changes in emissions. The last objective was based on concurrent modeling studies and was designed to support the development of regulations. These objectives were addressed through four components of the research: (1) ambient monitoring at a central site and a set of satellite sites in the region; (2) an instrument development and evaluation study; (3) a data analysis and synthesis component; and (4) a comprehensive modeling component.     The central supersite was located on a grassy hill in a large urban park adjacent to the Carnegie Mellon University campus, approximately 6km east of downtown Pittsburgh. It was separated from the city in the predominant upwind direction (south and west) by roughly 1km of parkland. It was at least several hundred meters from any other major source of air pollution: the site was positioned approximately 50m past the end of a dead end street, and several hundred meters from the nearest heavily traveled street. Five additional sites were operated as Satellite sites to character the spatial variation of the PM. The measurement campaign lasted for 14 months (July 2001-September 2002). Intensive monitoring was performed during two periods, from 1 July to 3 August, 2001 (ESP01) and 1 January to 15 January, 2002 (ESP02). Baseline monitoring was conducted for the rest of the study. Baseline measurements included daily filter samples for fine particle mass and composition (OC/EC, major ions, elemental composition). The U.S. EPA Particulate Matter (PM) super sites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_PITTSBURGH_GAS_PM_PROPERTY_DATA_1	NARSTO EPA Supersite (SS) Pittsburgh Gas Concentration and Particulate matter (PM) Physical Properties Data	LARC_CLOUD STAC Catalog	2001-05-23	2002-09-01	-79.94, 40.44, -79.94, 40.44	https://cmr.earthdata.nasa.gov/search/concepts/C3228971299-LARC_CLOUD.umm_json	NARSTO_EPA_SS_PITTSBURGH_GAS_PM_PROPERTY_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite Pittsburgh Gas Concentration and Particulate matter (PM) Physical Properties Data product. Data was obtained between May 23, 2001 and September 1, 2002 during the Pittsburgh Air Quality Study (PAQS). The data set provides Particulate Matter Composition Data of the following types:   1) Total, Organic, and Hydrogen Peroxide data   2) Filter based measurement of PM10 and PM2.5 Mass concentration using a Dichotomous sampler   3) Epiphaniometer total particle active surface area  4) Filter based measurement of PM2.5 Mass using the Federal Reference Method  5) Integrating nephelometer based measurement of PM2.5 light scattering  6) TSI Scanning Mobility Particle Sizer (Long-column/model 3936L10)  7) Measurements of PM mass size distribution using a MOUDI cascade impactor  8) In-situ VOC measurements by pre-concentration and gc/msd/fid9) Surface air concentrations of O3, NO, NOx, SO2, CO, and PM2.5 mass.     Pittsburgh Air Quality Study (PAQS), along with the Pittsburgh Supersite Program, was a comprehensive, multi-disciplinary investigation to characterize the ambient PM in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The Pittsburgh supersite was designed to achieve several objectives: to determine the physical and chemical characteristics of PM in the Pittsburgh region; to develop and evaluate the next generation of atmospheric aerosol monitoring techniques; to update emission profiles for important regional sources; to quantify the impact of the various sources on the local PM concentrations; and to predict changes in the PM characteristics due to proposed changes in emissions. The last objective was based on concurrent modeling studies and was designed to support the development of regulations. These objectives were addressed through four components of the research: (1) ambient monitoring at a central site and a set of satellite sites in the region; (2) an instrument development and evaluation study; (3) a data analysis and synthesis component; and (4) a comprehensive modeling component.     The central supersite was located on a grassy hill in a large urban park adjacent to the Carnegie Mellon University campus, approximately 6km east of downtown Pittsburgh. It was separated from the city in the predominant upwind direction (south and west) by roughly 1km of parkland. It was at least several hundred meters from any other major source of air pollution: the site was positioned approximately 50m past the end of a dead end street, and several hundred meters from the nearest heavily traveled street. Five additional sites were operated as Satellite sites to character the spatial variation of the PM. The measurement campaign lasted for 14 months (July 2001-September 2002). Intensive monitoring was performed during two periods, from 1 July to 3 August, 2001 (ESP01) and 1 January to 15 January, 2002 (ESP02). Baseline monitoring was conducted for the rest of the study. Baseline measurements included daily filter samples for fine particle mass and composition (OC/EC, major ions, elemental composition). The U.S. EPA Particulate Matter (PM) super sites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_PITTSBURGH_MET_DATA_1	NARSTO EPA Supersite (SS) Pittsburgh Meteorological Data	LARC_ASDC STAC Catalog	2001-07-01	2002-11-01	-79.94, 40.44, -79.94, 40.44	https://cmr.earthdata.nasa.gov/search/concepts/C2350085207-LARC_ASDC.umm_json	NARSTO_EPA_SS_PITTSBURGH_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Meteorological Data product. It was obtained between July 1, 2001 and November 1, 2002 during the Pittsburgh Supersite Program. Ambient monitoring at the central super site and a set of satellite sites in the Pittsburgh region included numerous meteorological measurements. Meteorological parameters measured during the sampling period included temperature, relative humidity, precipitation, wind speed and direction, UV intensity, and solar intensity. The Pittsburgh Super Site Program was a comprehensive, multi-disciplinary investigation to characterize the ambient Particulate Matter (PM) in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The central super site was located next to the Carnegie Mellon University campus near downtown Pittsburgh. Five additional sites served as Satellite sites. The measurement campaign lasted for 18 months (May 2001-October 2002).     The specific objectives were to: Characterize the PM with regard to size, surface, and volume distribution; chemical composition as a function of size and on a single particle basis; temporal and spatial variability. Develop and evaluate the current and next generation atmospheric aerosol monitoring techniques including single particle measurements, continuous measurements, ultra-fine aerosol measurements, improved organic component characterization, and others. Quantify the impact of the various sources of PM concentrations in the area including transportation, power plants, natural, etc. Combine the ambient monitoring study with the proposed indoor, health, and modeling studies to elucidate of the links between PM characteristics and their health impacts in this area.     The EPA PM Super sites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_PITTSBURGH_MET_DATA_1	NARSTO EPA Supersite (SS) Pittsburgh Meteorological Data	LARC_CLOUD STAC Catalog	2001-07-01	2002-11-01	-79.94, 40.44, -79.94, 40.44	https://cmr.earthdata.nasa.gov/search/concepts/C3228971188-LARC_CLOUD.umm_json	NARSTO_EPA_SS_PITTSBURGH_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Meteorological Data product. It was obtained between July 1, 2001 and November 1, 2002 during the Pittsburgh Supersite Program. Ambient monitoring at the central super site and a set of satellite sites in the Pittsburgh region included numerous meteorological measurements. Meteorological parameters measured during the sampling period included temperature, relative humidity, precipitation, wind speed and direction, UV intensity, and solar intensity. The Pittsburgh Super Site Program was a comprehensive, multi-disciplinary investigation to characterize the ambient Particulate Matter (PM) in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The central super site was located next to the Carnegie Mellon University campus near downtown Pittsburgh. Five additional sites served as Satellite sites. The measurement campaign lasted for 18 months (May 2001-October 2002).     The specific objectives were to: Characterize the PM with regard to size, surface, and volume distribution; chemical composition as a function of size and on a single particle basis; temporal and spatial variability. Develop and evaluate the current and next generation atmospheric aerosol monitoring techniques including single particle measurements, continuous measurements, ultra-fine aerosol measurements, improved organic component characterization, and others. Quantify the impact of the various sources of PM concentrations in the area including transportation, power plants, natural, etc. Combine the ambient monitoring study with the proposed indoor, health, and modeling studies to elucidate of the links between PM characteristics and their health impacts in this area.     The EPA PM Super sites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_PITTSBURGH_PM_COMPOSITION_DATA_1	NARSTO EPA Supersite (SS) Pittsburgh Particulate Matter (PM) Composition Data	LARC_CLOUD STAC Catalog	2001-06-29	2002-09-29	-79.94, 40.44, -79.94, 40.44	https://cmr.earthdata.nasa.gov/search/concepts/C3228971308-LARC_CLOUD.umm_json	NARSTO_EPA_SS_PITTSBURGH_PM_COMPOSITION_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Particulate Matter (PM) Composition Data. It was obtained between June 30 and September 1, 2001 during the Pittsburgh Air Quality Study (PAQS). The data set provides PM Composition Data of the following types:1) PM2.5 nitrate and PM2.5 sulfate.2) Semi-Continuous Organic and Elemental Carbon Measurements.3) Air concentrations of water soluble PM2.5 aerosol species and water soluble gases, as measured with the CMU steam sampler - IC combination.4) Manual filter-based PM2.5 element measurements from microwave decomposition of filters followed by Inductively Coupled Plasma Mass Spectrometer analysis.5) Manual filter-based PM10 element measurements from microwave decomposition of filters and Inductively Coupled Plasma Mass Spectrometer analysis.6) Manual filter-based PM2.5 inorganic composition with analysis performed using ion chromatography.7) Manual filter-based PM2.5 organic and elemental carbon measurements with analysis performed using a Thermal Optical Transmission carbon analyzer.8) Measurements of PM composition size distributions using a MOUDI cascade impactor.9) PM2.5 organic and elemental carbon concentrations from an activated carbon denuder/quartz filter/charcoal impregnated fiber filter backup combination. Quartz filters analyzed using a Thermal/Optical transmittance carbon analyzer.10) Fog chemistry dataPAQS, along with the Pittsburgh Supersite Program, was a comprehensive, multi-disciplinary investigation to characterize the ambient PM in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The Pittsburgh Supersite was designed to achieve several objectives: to determine the physical and chemical characteristics of PM in the Pittsburgh region; to develop and evaluate the next generation of atmospheric aerosol monitoring techniques; to update emission profiles for important regional sources; to quantify the impact of the various sources on the local PM concentrations; and to predict changes in the PM characteristics due to proposed changes in emissions. The last objective was based on concurrent modeling studies and was designed to support the development of regulations. These objectives were addressed through four components of the research: (1) ambient monitoring at a central site and a set of satellite sites in the region; (2) an instrument development and evaluation study; (3) a data analysis and synthesis component; and (4) a comprehensive modeling component.    The central supersite was located on a grassy hill in a large urban park adjacent to the Carnegie Mellon University campus, approximately 6km east of downtown Pittsburgh. It was separated from the city in the predominant upwind direction (south and west) by roughly 1km of parkland. It was at least several hundred meters from any other major source of air pollution: the site was positioned approximately 50m past the end of a dead end street, and several hundred meters from the nearest heavily traveled street. Five additional sites were operated as Satellite sites to character the spatial variation of the PM. The measurement campaign lasted for 14 months (July 2001-September 2002). Intensive monitoring was performed during two periods, from 1 July to 3 August 2001 (ESP01) and 1 January to 15 January, 2002 (ESP02). Baseline monitoring was conducted for the rest of the study. Baseline measurements included daily filter samples for fine particle mass and composition (OC/EC, major ions, elemental composition). The U.S. EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_PITTSBURGH_PM_COMPOSITION_DATA_1	NARSTO EPA Supersite (SS) Pittsburgh Particulate Matter (PM) Composition Data	LARC_ASDC STAC Catalog	2001-06-29	2002-09-29	-79.94, 40.44, -79.94, 40.44	https://cmr.earthdata.nasa.gov/search/concepts/C2350090614-LARC_ASDC.umm_json	NARSTO_EPA_SS_PITTSBURGH_PM_COMPOSITION_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Particulate Matter (PM) Composition Data. It was obtained between June 30 and September 1, 2001 during the Pittsburgh Air Quality Study (PAQS). The data set provides PM Composition Data of the following types:1) PM2.5 nitrate and PM2.5 sulfate.2) Semi-Continuous Organic and Elemental Carbon Measurements.3) Air concentrations of water soluble PM2.5 aerosol species and water soluble gases, as measured with the CMU steam sampler - IC combination.4) Manual filter-based PM2.5 element measurements from microwave decomposition of filters followed by Inductively Coupled Plasma Mass Spectrometer analysis.5) Manual filter-based PM10 element measurements from microwave decomposition of filters and Inductively Coupled Plasma Mass Spectrometer analysis.6) Manual filter-based PM2.5 inorganic composition with analysis performed using ion chromatography.7) Manual filter-based PM2.5 organic and elemental carbon measurements with analysis performed using a Thermal Optical Transmission carbon analyzer.8) Measurements of PM composition size distributions using a MOUDI cascade impactor.9) PM2.5 organic and elemental carbon concentrations from an activated carbon denuder/quartz filter/charcoal impregnated fiber filter backup combination. Quartz filters analyzed using a Thermal/Optical transmittance carbon analyzer.10) Fog chemistry dataPAQS, along with the Pittsburgh Supersite Program, was a comprehensive, multi-disciplinary investigation to characterize the ambient PM in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The Pittsburgh Supersite was designed to achieve several objectives: to determine the physical and chemical characteristics of PM in the Pittsburgh region; to develop and evaluate the next generation of atmospheric aerosol monitoring techniques; to update emission profiles for important regional sources; to quantify the impact of the various sources on the local PM concentrations; and to predict changes in the PM characteristics due to proposed changes in emissions. The last objective was based on concurrent modeling studies and was designed to support the development of regulations. These objectives were addressed through four components of the research: (1) ambient monitoring at a central site and a set of satellite sites in the region; (2) an instrument development and evaluation study; (3) a data analysis and synthesis component; and (4) a comprehensive modeling component.    The central supersite was located on a grassy hill in a large urban park adjacent to the Carnegie Mellon University campus, approximately 6km east of downtown Pittsburgh. It was separated from the city in the predominant upwind direction (south and west) by roughly 1km of parkland. It was at least several hundred meters from any other major source of air pollution: the site was positioned approximately 50m past the end of a dead end street, and several hundred meters from the nearest heavily traveled street. Five additional sites were operated as Satellite sites to character the spatial variation of the PM. The measurement campaign lasted for 14 months (July 2001-September 2002). Intensive monitoring was performed during two periods, from 1 July to 3 August 2001 (ESP01) and 1 January to 15 January, 2002 (ESP02). Baseline monitoring was conducted for the rest of the study. Baseline measurements included daily filter samples for fine particle mass and composition (OC/EC, major ions, elemental composition). The U.S. EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.     NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_PITTSBURGH_RAPID_SPMS_DATA_1	NARSTO EPA Supersite (SS) Pittsburgh Rapid Single-Particle Mass Spectrometer Data	LARC_ASDC STAC Catalog	2001-09-20	2001-12-27	-79.94, 40.43, -79.94, 40.43	https://cmr.earthdata.nasa.gov/search/concepts/C2350096067-LARC_ASDC.umm_json	NARSTO_EPA_SS_PITTSBURGH_RAPID_SPMS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Rapid Single-Particle Mass Spectrometer Data product. It was obtained between September 20 and December 27, 2001 during the Pittsburgh Air Quality Study (PAQS). During 12 months, starting September 2001, individual aerosol particles were sized and analyzed using a Rapid Single-particle Mass Spectrometer (RSMS) in Pittsburgh. RSMS aerodynamically focuses one particle size at a time to the source region of a mass spectrometer and employs a 193 nm excimer laser to desorb and ionize the particle components. The ions are analyzed in a dual time-of-flight mass spectrometer and the spectrum is digitally recorded. Spectra are only saved if the ion peak in the spectrum is above a threshold level. Background spectra were determined and flagged. Particle size scans were initiated periodically, and each size was sampled until 30 particle hits were obtained, unless the sampling time became excessive. Aerodynamic particle sizes ranged from about 40 to 1300 nm and were partitioned into nine discrete size classes logarithmically spaced, roughly, over the range. Single particle data were valuable because a) they were collected and analyzed real time so have excellent temporal resolution, b) the particle-to-particle composition variations (external mixing properties) could be assessed, and c) key particle sources were easily identified since the particles retain source characteristics. The data resulting from these measurements consist of an aerodynamic particle size and a positive and negative mass spectrum of the components for each particle, along with the date and time of measurement and other incidental measurement parameters such as the laser pulse energy.    The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
+NARSTO_EPA_SS_PITTSBURGH_RAPID_SPMS_DATA_1	NARSTO EPA Supersite (SS) Pittsburgh Rapid Single-Particle Mass Spectrometer Data	LARC_CLOUD STAC Catalog	2001-09-20	2001-12-27	-79.94, 40.43, -79.94, 40.43	https://cmr.earthdata.nasa.gov/search/concepts/C3228971180-LARC_CLOUD.umm_json	NARSTO_EPA_SS_PITTSBURGH_RAPID_SPMS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Rapid Single-Particle Mass Spectrometer Data product. It was obtained between September 20 and December 27, 2001 during the Pittsburgh Air Quality Study (PAQS). During 12 months, starting September 2001, individual aerosol particles were sized and analyzed using a Rapid Single-particle Mass Spectrometer (RSMS) in Pittsburgh. RSMS aerodynamically focuses one particle size at a time to the source region of a mass spectrometer and employs a 193 nm excimer laser to desorb and ionize the particle components. The ions are analyzed in a dual time-of-flight mass spectrometer and the spectrum is digitally recorded. Spectra are only saved if the ion peak in the spectrum is above a threshold level. Background spectra were determined and flagged. Particle size scans were initiated periodically, and each size was sampled until 30 particle hits were obtained, unless the sampling time became excessive. Aerodynamic particle sizes ranged from about 40 to 1300 nm and were partitioned into nine discrete size classes logarithmically spaced, roughly, over the range. Single particle data were valuable because a) they were collected and analyzed real time so have excellent temporal resolution, b) the particle-to-particle composition variations (external mixing properties) could be assessed, and c) key particle sources were easily identified since the particles retain source characteristics. The data resulting from these measurements consist of an aerodynamic particle size and a positive and negative mass spectrum of the components for each particle, along with the date and time of measurement and other incidental measurement parameters such as the laser pulse energy.    The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_EPA_SS_ST_LOUIS_AIR_CHEM_PM_MET_DATA_1	NARSTO_EPA_SS_ST_LOUIS Air Chemistry, Particulate Matter, Met Data	LARC_ASDC STAC Catalog	2000-06-22	2003-07-20	-90.2, 38.5, -90, 38.7	https://cmr.earthdata.nasa.gov/search/concepts/C4211373-LARC_ASDC.umm_json	The NARSTO_EPA_SS_ST_LOUIS_AIR_CHEM_PM_MET_DATA were obtained between April 11, 2001 and July 21, 2003 during the St. Louis - Midwest Supersite program.The overall goal of the St. Louis - Midwest Supersite was to conduct aerosol physical and chemical measurements needed by the health effects community, the atmospheric science community and the regulatory community to properly assess the impact of particulate matter exposure on human health and to develop control strategies to mitigate these effects. Metropolitan St. Louis is a major population center well isolated from other urban centers of even moderate size, and is impacted by both distant and local sources. Local industry includes manufacturing,refining, and chemical plants. St. Louis is climatologically representative of the country's eastern interior, affected by a wide range of synoptic weather patterns and free of localized influences from the Great Lakes, Ocean, Gulf, and mountains. It accordingly provides an ideal environment for studying the sources, transport, and properties of ambient particles.The initial data types included:1) 5-minute PM 2.5 black carbon (880 nm) and uv-absorbing carbon (370 nm) measured by a Magee Scientific Aethalometer (Model AE-21).2) 1-hour PM 2.5 elemental carbon and blank-corrected organic carbon from semicontinuous thermo-optical analysis by the ACE-ASIA method.3) 24-hour PM 2.5 elemental carbon and organic carbon (both blank-corrected) from integrated filter with offline thermo-optical analysis by the ACE-ASIA method.4) 30-minute PM 2.5 metal composition from samples collected with a Semicontinuous Elements in Aerosol Sampler (SEAS) II.5) 5-minute meteorological data (wind, temperature, RH, solar radiation, atmospheric pressure, and precipitation) measured with a Climatronics anemometer, wind vane, thermocouple, lithium chloride sensor, pyranometer, barometer, and tipping bucket.6) 24-hour PM 1.0 filter mass concentration measured by sharp cut cyclone and gravimetric analysis.7) 1-hour PM 2.5 mass measured by an Andersen Continuous Ambient Mass Monitoring System (CAMMS).8) 24-hour PM 2.5 and PM 10 filter mass by Harvard Impactors and laboratory gravimetric analysis.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods. NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.	proprietary
 NARSTO_ICARTT_NEAX_2004_DOE_G-1_DATA_1	NARSTO ICARTT NEAX 2004 DOE G-1 Air Chemistry, Aerosol, and Met Data	LARC_ASDC STAC Catalog	2004-07-24	2004-08-11	-82.5, 38.06, -76.2, 42.18	https://cmr.earthdata.nasa.gov/search/concepts/C2338660035-LARC_ASDC.umm_json	NARSTO_ICARTT_NEAX_2004_DOE_G-1_DATA is the NARSTO_NE_MODEL is the North American Research Strategy for Tropospheric Ozone (NARSTO) ICARTT NEAX 2004 DOE G-1 Air Chemistry, Aerosol, and Met Data collected in July and August, 2004 during the International Consortium for Atmospheric Research on Transport and Transformation (ICARTT), NorthEast Aerosol eXperiment (NEAX). The DOE Gulfstream G-1 aircraft operated within about 300 nautical miles from Latrobe, PA from about July 19 - August 15, 2004. There were 13 total flights on twelve different days. Data were reported for both 1 second and averaged 10 second sampling intervals.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
 NARSTO_NE_MODEL_1	NARSTO 1998 Model-Intercomparison Study Verification Data: NARSTO-Northeast 1995 Surface Ozone, NO, and NOx Langley Data Center Data Set	LARC_ASDC STAC Catalog	1995-05-01	1995-09-30	-88.81, 34.32, -67.59, 47.35	https://cmr.earthdata.nasa.gov/search/concepts/C2350103674-LARC_ASDC.umm_json	NARSTO_NE_MODEL is the North American Research Strategy for Tropospheric Ozone (NARSTO) 1998 Model-Intercomparison Study Verification Data: NARSTO-Northeast 1995 Surface Ozone, NO, and NOx Langley Data Center Data Set. It supports the NARSTO Model Intercomparison activity described in the report of a workshop that was held in Washington, DC on May 27-28, 1998. The intercomparison activity will compare meteorological, emissions, and air quality models that are used to estimate ozone concentrations in the northeastern United States. The air quality models are used to estimate how ambient ozone concentrations will change in response to changes in VOC and NOx emissions. These data are a subset of the measurements made during the NARSTO-Northeast 1995 intensive field campaign and will be used to verify model predictions. Included are surface one-hour average O3, NO, and NOx measurement results from all reporting sources for 1995. ASCII data files are available for specific time intervals and the full monitoring period. A measurement station description file is included.    NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.	proprietary
@@ -11544,8 +11790,8 @@ OMAEROZ_003	OMI/Aura Aerosol product Multi-wavelength Algorithm Zoomed 1-Orbit L
 OMAERO_003	OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERO) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966755-GES_DISC.umm_json	The Level-2 Aura Ozone Monitoring Instrument (OMI) Aerosol Product (OMAERO) is now available from NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for public access. This is the second public release of version 003. The data was re-processed in late 2011 using an improved algorithm (processing version 1.2.3.1). After some quick validation the reprocessed data was released to the public in March 2012. The shortname for this Level-2 Aerosol Product is OMAERO_V003. There are two Level-2 Aura OMI aerosol products OMAERUV and OMAERO. The OMAERUV product uses the near-UV algorithm. The OMAERO product is based on the multi-wavelength algorithm and that uses up to 20 wavelength bands between 331 nm and 500 nm. OMAERO retrieval algorithm is developed by the KNMI OMI Team Scientists. Drs. Deborah Stein-Zweers, Martin Sneep and Pepijn Veefkind are now the key investigators of this product. The OMAERO product contains Aerosol Optical Depths, Single Scattering Albedo, and other ancillary and geolocation information.  The OMAERO files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERO data product is about 6 Mbytes.	proprietary
 OMAEROe_003	OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMAEROe) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136062-GES_DISC.umm_json	The OMI science team produces this Level-3 Aura/OMI Global Aerosol Data Products OMAEROe (0.25deg Lat/Lon grids). The OMAEROe product selects best aerosol value from the Level2G good quality data that are reported in each grid, based on the multi-wavelength algorithm that uses up to 20 wavelength bands between 331 nm and 500 nm.  The selection criteria is based on the shortest optical path length (secant of solar zenith angle + secant of viewing zenith angle).  The OMAEROe files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAEROe data product is about 7 Mbytes. (The shortname for this Level-3 Global Gridded Aerosol Product is OMAEROe)	proprietary
 OMAERUVG_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMAERUVG) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136097-GES_DISC.umm_json	This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 AERUV product OMAERUV. This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 Aerosol product OMAERUV. OMAERUVG data product is a special Level-2 gridded product where pixel level products are binned into 0.25x0.25 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMAERUVG files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits mapped on the Global 0.25x0.25 deg Grids. The maximum file size for the OMAERUVG data product is about 50 Mbytes.	proprietary
-OMAERUV_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).  The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes.	proprietary
 OMAERUV_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json	The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ 	proprietary
+OMAERUV_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).  The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes.	proprietary
 OMAERUV_004	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V004 (OMAERUV) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3185856256-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product OMAERUV (Version 004) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Optical Depth, Aerosol Single Scattering Albedo, Absorption Optical Depth, UV Aerosol Index, and Aerosol Optical Depth over clouds at three wavelengths (354, 388, and 500 nm), and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).  The OMAERUV files are stored in the  version 4.0 Network Common Data Form (NetCDF). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 17 Mbytes.	proprietary
 OMAERUV_CPR_003	OMI/Aura Level 2 Near UV Aerosol Optical Depth and Single Scattering Albedo 200-m swath subset along CloudSat track V003 (OMAERUV_CPR) at GES DISC	GES_DISC STAC Catalog	2006-06-01	2017-05-10	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236350969-GES_DISC.umm_json	This is a CloudSat-collocated subset of the original OMI product OMAERUV, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications.              (The shortname for this CloudSat-collocated OMI Level 2 near-UV aerosol subset is OMAERUV_CPR_003)	proprietary
 OMAERUVd_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo L3 1 day 1.0 degree x 1.0 degree V3 (OMAERUVd) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136096-GES_DISC.umm_json	The OMI science team produces this Level-3 daily global gridded product OMAERUVd (1 deg Lat/Lon grids). The OMAERUVd product is produced with all data pixels that fall in a grid box with quality filtered and then averaged, based on the pixel level OMI Level-2 Aerosol data product OMAERUV. The OMAERUV data product is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data. The OMAERUVd data product contains extinction and absorption optical depths at three wavelenghts (355 nm, 388 nm and 500 nm).   The OMAERUVd files are stored in version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAERUVd data product is about 0.2 Mbytes.	proprietary
@@ -11555,8 +11801,8 @@ OMCLDO2Z_003	OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) Zoomed 1-Or
 OMCLDO2_003	OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) 1-Orbit L2 Swath 13x24km V003 (OMCLDO2) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966787-GES_DISC.umm_json	The reprocessed OMI/Aura Level-2 cloud data product OMCLDO2 is now available from the NASA GoddardEarth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed in late 2011. OMI provides two cloud products based on two different algorithms, the Rotational Raman Scattering method, and O2-O2 absorption method using the DOAS technique. This level-2 global cloud product, with a pixel resolution of 13x24 km2at nadir, is based on the spectral fitting of O2-O2 absorption band at 477 nm using DOAS technique. This product contains cloud pressure, cloud fraction, slant column O2-O2, ozone, ring coefficients, uncertainties in derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The lead scientist for this product is Dr. Pepijn Veefkind.  The OMCLDO2 product files are stored in the version 5 Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes) and is roughly 15.096 MB in size. There are approximately 14 orbits per day thus the total data volume is approximately 200 GB/day.	proprietary
 OMCLDO2_CPR_003	OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) 200-km swath subset along CloudSat track V003 (OMCLDO2_CPR) at GES DISC	GES_DISC STAC Catalog	2006-06-01	2018-03-02	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236350939-GES_DISC.umm_json	This the OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) subset along CloudSat track, for the purposes of the A-Train mission. The original product uses the DOAS technique method. This level-2 global cloud product at the pixel resolution (13x24 km2 at nadir) is based on the spectral fitting of O2-O2 absorption band at 477 nm using DOAS technique. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track. This product contains cloud pressure, cloud fraction, slant column O2-O2 and O3, ring coefficients, uncertainties in derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications.        (The shortname for this Level-2 OMI cloud pressure and fraction (O2-O2 absorption) subset along CloudSat track product is OMCLDO2_CPR)	proprietary
 OMCLDRRG_003	OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMCLDRRG) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136100-GES_DISC.umm_json	This Level-2G daily global gridded product OMCLDRRG is based on the pixel level OMI Level-2 CLDRR product OMCLDRR. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner. OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMCLDRRG data products are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes.	proprietary
-OMCLDRR_003	OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 (OMCLDRR) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966791-GES_DISC.umm_json	The reprocessed Aura Ozone Monitoring Instrument (OMI) Version 003 Level 2 Cloud Data Product OMCLDRR is available to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering).  This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner.  The OMCLDRR files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes.	proprietary
 OMCLDRR_003	OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.umm_json	The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml . A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/	proprietary
+OMCLDRR_003	OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 (OMCLDRR) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966791-GES_DISC.umm_json	The reprocessed Aura Ozone Monitoring Instrument (OMI) Version 003 Level 2 Cloud Data Product OMCLDRR is available to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering).  This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner.  The OMCLDRR files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes.	proprietary
 OMCLDRR_004	OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V004 (OMCLDRR) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3159637081-GES_DISC.umm_json	This is the Aura Ozone Monitoring Instrument (OMI) Version 004 Level 2 Cloud Data Product OMCLDRR. OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner.  The OMCLDRR files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes.	proprietary
 OMCLDRR_CPR_003	OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 200-km swath subset along CloudSat track V003 (OMCLDRR_CPR) at GES DISC	GES_DISC STAC Catalog	2006-06-01	2018-03-02	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236350980-GES_DISC.umm_json	This is the OMI/Aura Cloud Pressure and Fraction (Raman Scattering) subset along CloudSat tracks, for the purposes of the A-Train mission. The original data product uses the Rotational Raman Scattering method. This level-2 global cloud product provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). The goal of this subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications.  (The shortname for this Level-2 OMI cloud pressure and fraction subset along CloudSat tracks product is OMCLDRR_CPR)	proprietary
 OMDOAO3G_003	OMI/Aura Ozone (O3) DOAS Total Column Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMDOAO3G) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136103-GES_DISC.umm_json	This Level-2G daily global gridded product OMDOAO3G is based on the pixel level OMI Level-2 DOAO3 product OMDOAO3.  This Level-2G global total column ozone product is derived from OMDOAO3 which is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. In addition to the total ozone column this product also contains some auxiliary derived and ancillary input parameters, e.g. ozone slant column density, ozone ghost column density, etc. The short name for this Level-2 OMI ozone product is OMDOAO3G and the lead algorithm scientist for this product and for OMDOAO3 (the data source of OMDOAO3G) is Dr. Pepijn Veefkind from KNMI.  The OMDOAO3G product files are stored in the version 5 Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (approximately 14 orbits) and is roughly 80 MB in size.	proprietary
@@ -11633,13 +11879,13 @@ OMPS_NPP_NPBUVO3_L2_2	OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital	G
 OMPS_NPP_NPBUVO3_L2_2.9	OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital V2.9 (OMPS_NPP_NPBUVO3_L2) at GES DISC	GES_DISC STAC Catalog	2011-11-13		-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C2821060582-GES_DISC.umm_json	The OMPS-NPP L2 NP Ozone (O3) Total Column swath orbital product provides ozone profile retrievals from the Ozone Mapping and Profiling Suite (OMPS) Nadir-Profiler (NP) instrument on the Suomi-NPP satellite. The V8 ozone profile algorithm relies on nadir profiler measurements made in the 250 to 310 nm range, as well as from measurements from the nadir mapper in the 300 to 380 nm range. Ozone mixing ratios are reported at 15 pressure levels between 50 and 0.5 hPa. Additionally, this data product contains measurements of total ozone, UV aerosol index and reflectivities at 331 and 380 nm.  Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-82 to +82 degrees latitude), and there are about 14.5 orbits per day, each has typically 80 profiles. The NP footprint size is 250 km x 250 km. The files are written using the Hierarchical Data Format Version 5 or HDF5.	proprietary
 OMPS_NPP_NPEV_L1B_2	OMPS/NPP L1B NP Radiance EV Calibrated Geolocated Swath Orbital V2 (OMPS_NPP_NPEV_L1B) at GES DISC	GES_DISC STAC Catalog	2011-11-13		-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C1279850611-GES_DISC.umm_json	The OMPS-NPP L1B NP Radiance EV Calibrated Geolocated Swath Orbital collection contains calibrated and geolocated radiances from 300 to 380 nm measured by the OMPS Nadir-Profiler sensor on the Suomi-NPP satellite.  Each granule typically contains data from the daylight portion of a single orbit (about 50 minutes). Spatial coverage is nearly global (-82 to 82 degrees latitude), and there are about 14.5 orbits per day each with a single nadir measurement along the satellite track.	proprietary
 OMSO2G_003	OMI/Aura Sulphur Dioxide (SO2) Total Column Daily L2 Global Gridded 0.125 degree x 0.125 degree V3 (OMSO2G) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136113-GES_DISC.umm_json	This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2.  OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm, and ancillary parameters, e.g., UV aerosol index, cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and quality flags.  The OMSO2G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 146 Mbytes.	proprietary
-OMSO2_003	OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json	The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura  satellite on July 15, 2004 (1:38 pm equator crossing time, ascending  mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal  investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal  Netherlands Meteorological Institute). OMI is designed to monitor  stratospheric and tropospheric ozone, clouds, aerosols and smoke from  biomass burning, SO2 from volcanic eruptions, and key tropospheric  pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI  sensor counts, calibrated and geolocated radiances, and all derived  geophysical atmospheric products will be archived at the NASA Goddard  DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly  available from NASA GSFC Earth Sciences (GES) Data and Information  Services Center (DISC) for public access.  OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm. It also contains quality flags, geolocation and other ancillary information.        The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu).       OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and   documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php )             For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/.       For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below.       http://disc.sci.gsfc.nasa.gov/Aura/       http://disc.gsfc.nasa.gov/acdisc/	proprietary
 OMSO2_003	OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources.  Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li.  The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds.	proprietary
+OMSO2_003	OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json	The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura  satellite on July 15, 2004 (1:38 pm equator crossing time, ascending  mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal  investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal  Netherlands Meteorological Institute). OMI is designed to monitor  stratospheric and tropospheric ozone, clouds, aerosols and smoke from  biomass burning, SO2 from volcanic eruptions, and key tropospheric  pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI  sensor counts, calibrated and geolocated radiances, and all derived  geophysical atmospheric products will be archived at the NASA Goddard  DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly  available from NASA GSFC Earth Sciences (GES) Data and Information  Services Center (DISC) for public access.  OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm. It also contains quality flags, geolocation and other ancillary information.        The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu).       OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and   documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php )             For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/.       For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below.       http://disc.sci.gsfc.nasa.gov/Aura/       http://disc.gsfc.nasa.gov/acdisc/	proprietary
 OMSO2_CPR_003	OMI/Aura Level 2 Sulphur Dioxide (SO2) Trace Gas Column Data 1-Orbit Subset and Collocated Swath along CloudSat V003 (OMSO2_CPR) at GES DISC	GES_DISC STAC Catalog	2006-06-01	2018-03-02	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236350970-GES_DISC.umm_json	"This is a CloudSat-collocated subset of the original product OMSO2, for the purposes of the A-Train mission.  The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. Even though collocated with CloudSat, this subset can serve many other A-Train applications.  (The shortname for this CloudSat-collocated subset of the original product OMSO2 Product is OMSO2_CPR_V003)              This document describes the original OMI SO2 product (OMSO2) produced from global mode UV measurements of the Ozone Monitoring Instrument (OMI). OMI was launched on July 15, 2004 on the EOS Aura satellite, which is in a sun-synchronous ascending polar orbit with 1:45pm local equator crossing time. The data collection started on August 17, 2004 (orbit 482) and continues to this day with only minor data gaps. The minimum SO2 mass detectable by OMI is about two orders of magnitude smaller than the detection threshold of the legacy Total Ozone Mapping Spectrometer (TOMS) SO2 data (1978-2005) [Krueger et al 1995]. This is due to smaller OMI footprint and the use of wavelengths better optimized for separating O3 from SO2.  The product file, called a data granule, covers the sunlit portion of the orbit with an approximately 2600 km wide swath containing 60 pixels per viewing line. During normal operations, 14 or 15 granules are produced daily, providing fully contiguous coverage of the globe. Currently, OMSO2 products are not produced when OMI goes into the ""zoom mode"" for one day every 452 orbits (~32 days). For each OMI pixel we provide 4 different estimates of the column density of SO2 in Dobson Units (1DU=2.69x10^16 molecules/cm2) obtained by making different assumptions about the vertical distribution of the SO2. However, it is important to note that in most cases the precise vertical distribution of SO2 is unimportant. The users can use either the SO2 plume height, or the center of mass altitude (CMA) derived from SO2 vertical distribution, to interpolate between the 4 values:   1)Planetary Boundary Layer (PBL) SO2 column (ColumnAmountSO2_PBL), corresponding to CMA of 0.9 km. 2)Lower tropospheric SO2 column (ColumnAmountSO2_TRL), corresponding to CMA of 2.5 km. 3)Middle tropospheric SO2 column, (ColumnAmountSO2_TRM), usually produced by volcanic degassing, corresponding to CMA of 7.5 km,   4)Upper tropospheric and Stratospheric SO2 column (ColumnAmountSO2_STL), usually produced by explosive volcanic eruption, corresponding to CMA of 17 km.   The accuracy and precision of the derived SO2 columns vary significantly with the SO2 CMA and column amount, observational geometry, and slant column ozone. OMI becomes more sensitive to SO2 above clouds and snow/ice, and less sensitive to SO2 below clouds. Preliminary error estimates are discussed below (see Data Quality Assessment).   OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 9 Mbytes."	proprietary
 OMSO2e_003	OMI/Aura Sulfur Dioxide (SO2) Total Column Daily L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMSO2e) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136112-GES_DISC.umm_json	"The OMI science team produces this Level-3 Aura/OMI Global OMSO2e Data Products (0.25 degree Latitude/Longitude grids). In this Level-3 daily global SO2 data product, each grid contains only one observation of Total Column Density of SO2 in the Planetary Boundary Layer (PBL), based on an improved Principal Component Analysis (PCA) Algorithm. This single observation is the ""best pixel"", selected from all ""good"" L2 pixels of OMSO2 that overlap this grid and have UTC time between UTC times of 00:00:00 and 23:59:59.999. In addition to the SO2 Vertical column value some ancillary parameters, e.g., cloud fraction, terrain height, scene number, solar and satellite viewing angles, row anomaly flags, and quality flags have been also made available corresponding to the best selected SO2 data pixel in each grid.  The OMSO2e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5) using the grid model."	proprietary
 OMTO3G_003	OMI/Aura Ozone (O3) Total Column Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMTO3G) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136114-GES_DISC.umm_json	This Level-2G daily global gridded product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is from the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. The OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains  UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and quality flags.  The OMTO3G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 150 Mbytes.	proprietary
-OMTO3_003	OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist  Dr. Pawan K. Bhartia.  The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB.	proprietary
 OMTO3_003	OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.umm_json	The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA  for the public access.  The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that  essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist  Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/  http://www.knmi.nl/omi/research/documents/ .        Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ .	proprietary
+OMTO3_003	OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist  Dr. Pawan K. Bhartia.  The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB.	proprietary
 OMTO3_CPR_003	OMI/Aura Level 2 Ozone (O3) Total Column 1-Orbit Subset and Collocated Swath along CloudSat track 200-km wide at 13x24 km2 resolution	GES_DISC STAC Catalog	2006-06-01	2018-03-02	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236350982-GES_DISC.umm_json	This is a CloudSat-collocated subset of the original product OMTO3, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications.             (The shortname for this CloudSat-collocated OMI Level 2 Total Ozone Column subset is OMTO3_CPR_V003)	proprietary
 OMTO3d_003	OMI/Aura TOMS-Like Ozone, Aerosol Index, Cloud Radiance Fraction L3 1 day 1 degree x 1 degree V3 (OMTO3d) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136070-GES_DISC.umm_json	The OMI science team produces this Level-3 daily global TOMS-Like Total Column Ozone gridded product OMTO3d (1 deg Lat/Lon grids). The OMTO3d product is produced by gridding and averaging only good quality level-2 total column ozone orbital swath data (OMTO3, based on the enhanced TOMS version-8 algorithm) on the 1x1 degree global grids.  The OMTO3d files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3d data product is about 0.65 Mbytes.	proprietary
 OMTO3e_003	OMI/Aura TOMS-Like Ozone and Radiative Cloud Fraction L3 1 day 0.25 degree x 0.25 degree V3 (OMTO3e) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136071-GES_DISC.umm_json	The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles.  The OMTO3e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes.	proprietary
@@ -11879,6 +12125,57 @@ PAZ.Full.Archive.and.New.Tasking_NA	PAZ Full Archive and New Tasking	ESA STAC Ca
 PC06_ECMWF_LBA_1141_1	LBA-HMET PC-06 ECMWF Modeled Precipitation and Surface Flux, Rondonia, Brazil: 1999	ORNL_CLOUD STAC Catalog	1999-01-01	1999-03-31	-62.37, -10.85, -61.87, -10.75	https://cmr.earthdata.nasa.gov/search/concepts/C2768943309-ORNL_CLOUD.umm_json	This data set provides the mean diurnal cycle of precipitation, near-surface thermodynamics, and surface fluxes generated from short-term forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) model.The model outputs were 12- to 36-hour short-range forecasts, run at a triangular truncation of T319 and a vertical resolution of 60 levels, from each daily 1200 (UTC) analysis. The version of the forecast model used to prepare this data product was the operational ECMWF model in fall 2000, which included the tiled land-surface scheme (TESSEL) (Van den Hurk et al., 2000) and recent revisions to the convection, radiation, and cloud schemes described by Gregory et al., (2000). The ECMWF model was run for two Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) campaigns conducted in Rondonia, Brazil, during January and February of 1999: the Wet Season Atmospheric Mesoscale Campaign (WETAMC) and the Tropical Rainfall Measuring Mission (TRMM). See Silva Dias et al.,(2002) for additional information regarding the WETAMAC and TRMM campaigns. There are two comma-delimited data files with this data set: the ECMWF model output data and a file containing the mean hourly precipitation observations used to check the model output for biases.	proprietary
 PCD_INPE_web_Not provided	Meteorological Data Collection Platform Network from Brazilian Institute for Space Research	CEOS_EXTRA STAC Catalog	1996-01-01		-75.64, -35.81, -32.74, 7.12	https://cmr.earthdata.nasa.gov/search/concepts/C2227456061-CEOS_EXTRA.umm_json	Web access to data of a network of Meteorological Automatic Stations covering the Brazilian area	proprietary
 PEACETIME_0	ProcEss studies at the Air-sEa Interface after dust deposition in the MEditerranean sea project (PEACETIME)	OB_DAAC STAC Catalog	2017-05-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360590-OB_DAAC.umm_json	Measurements from the PEACETIME (ProcEss studies at the Air-sEa Interface after dust deposition in the MEditerranean sea) project in the Mediterranean Sea to characterize biogeochemical processes in the atmosphere, at the air-sea boundary layer, and in the water.	proprietary
+PEM-Tropics-A_Aerosol_AircraftInSitu_DC8_Data_1	PEM Tropics A DC-8 In-Situ Aerosol Data	LARC_CLOUD STAC Catalog	1996-08-22	1998-10-08	-180, -72.55, 180, 50	https://cmr.earthdata.nasa.gov/search/concepts/C2968940734-LARC_CLOUD.umm_json	PEM-Tropics-A_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data utilizing condensation nuclei counters (CNC) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_Aerosol_AircraftInSitu_P3B_Data_1	PEM Tropics A P-3B In-Situ Aerosol Data	LARC_CLOUD STAC Catalog	1996-08-06	1996-09-27	-180, -79.03, 180, 50	https://cmr.earthdata.nasa.gov/search/concepts/C2963684447-LARC_CLOUD.umm_json	PEM-Tropics-A_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from condensation nuclei counters (CNC) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_AircraftRemoteSensing_DC8_DIAL_Data_1	PEM Tropics A DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data	LARC_CLOUD STAC Catalog	1996-08-31	1996-10-07	-180, -72.55, 180, 45.16	https://cmr.earthdata.nasa.gov/search/concepts/C2968901874-LARC_CLOUD.umm_json	PEM-Tropics-A_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_AircraftRemoteSensing_P3B_Data_1	PEM Tropics A P-3B Remotely Sensed Data	LARC_CLOUD STAC Catalog	1996-08-06	1996-09-27	-180, -79.03, 180, 50	https://cmr.earthdata.nasa.gov/search/concepts/C2963620985-LARC_CLOUD.umm_json	PEM-Tropics-A_AircraftRemoteSensing_P3B_Data is the remote sensing data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from actinometers is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_Merge_Data_1	PEM Tropics A Merge Data	LARC_CLOUD STAC Catalog	1996-08-06	1998-10-08	-180, -79.03, 180, 50	https://cmr.earthdata.nasa.gov/search/concepts/C2963561331-LARC_CLOUD.umm_json	PEM-Tropics-A_Merge_Data is the merge data collected during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_MetNav_AircraftInSitu_DC8_Data_1	PEM Tropics A In-Situ DC-8 Meteorology and Navigation Data	LARC_CLOUD STAC Catalog	1996-08-31	1996-10-07	-180, -72.55, 180, 45.17	https://cmr.earthdata.nasa.gov/search/concepts/C2966187983-LARC_CLOUD.umm_json	PEM-Tropics-A_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from the DC-8 Data Acquisition and Distribution System (DADS) and the Diode Laser Hygrometer (DLH) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_MetNav_AircraftInSitu_P3B_Data_1	PEM Tropics A In-Situ P-3B Meteorology and Navigation Data	LARC_CLOUD STAC Catalog	1996-08-06	1996-09-27	-165, -34.83, -74, 39.07	https://cmr.earthdata.nasa.gov/search/concepts/C2963642031-LARC_CLOUD.umm_json	PEM-Tropics-A_MetNav_AircraftInSitu_P3B_Data is the in-situ meteorology and navigation data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from the Turbulent Air Motion Measurement System (TAMMS) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_Satellite_Data_1	PEM Tropics A Satellite Data	LARC_CLOUD STAC Catalog	1996-08-28	1999-04-16	-180, -61.93, 180, 41	https://cmr.earthdata.nasa.gov/search/concepts/C2963575418-LARC_CLOUD.umm_json	PEM-Tropics-A_Satellite_Data is the satellite data collected during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from the Advanced Very High Resolution Radiometer (AVHRR), Geostationary Operational Environmental Satellite (GOES) - 8 and 9, TIROS Operational Vertical Sounder, Special Sensor Microwave Imager/Sounder (SSMIS), and NOAA-14 satellites are featuredin this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_Sondes_Data_1	PEM Tropics A Sondes Data	LARC_CLOUD STAC Catalog	1995-01-05	1997-12-31	-180, -45.045, 180, -14.23	https://cmr.earthdata.nasa.gov/search/concepts/C2954308749-LARC_CLOUD.umm_json	PEM-Tropics-A_Sondes_Data is the ozonesonde and radiosonde data collected during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_TraceGas_AircraftInSitu_DC8_Data_1	PEM Tropics A DC-8 In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1996-08-22	1998-10-08	-180, -72.55, 180, 50	https://cmr.earthdata.nasa.gov/search/concepts/C2968990898-LARC_CLOUD.umm_json	PEM-Tropics-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, laser induced fluorescence, grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_TraceGas_AircraftInSitu_P3B_Data_1	PEM Tropics A P-3B In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1996-08-06	1996-09-27	-180, -79.03, 180, 50	https://cmr.earthdata.nasa.gov/search/concepts/C2963712608-LARC_CLOUD.umm_json	PEM-Tropics-A_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_Trajectory_DC8_Data_1	PEM Tropics A DC-8 Trajectory Data	LARC_CLOUD STAC Catalog	1996-08-22	1996-10-07	-180, -80, 180, 50	https://cmr.earthdata.nasa.gov/search/concepts/C2965919541-LARC_CLOUD.umm_json	PEM-Tropics-A_Trajectory_DC8_Data is the trajectory data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_Trajectory_P3B_Data_1	PEM Tropics A P-3B Trajectory Data	LARC_CLOUD STAC Catalog	1996-08-07	1996-09-27	-180, -79.03, 180, 50	https://cmr.earthdata.nasa.gov/search/concepts/C2963593745-LARC_CLOUD.umm_json	PEM-Tropics-A_Trajectory_P3B_Data is the trajectory data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-A_jValue_AircraftInSitu_DC8_Data_1	PEM Tropics A DC-8 Photolysis Frequencies (J-Values)	LARC_CLOUD STAC Catalog	1996-09-04	1998-10-08	-180, -70.33, 180, 45.15	https://cmr.earthdata.nasa.gov/search/concepts/C2965998848-LARC_CLOUD.umm_json	PEM-Tropics-A_jValue_AircraftInSitu_DC8_Data is the photolysis frequencies (j-values) measured along the DC-8 flight during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_Aerosol_AircraftInSitu_DC8_Data_1	PEM Tropics B DC-8 In-Situ Aerosol Data	LARC_CLOUD STAC Catalog	1999-02-20	1999-04-19	-180, -36.35, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2963463365-LARC_CLOUD.umm_json	PEM-Tropics-B_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Forward Scattering Spectrometer Probe (FSSP) and Condensation Nuclei Counters (CNC) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_Aerosol_AircraftInSitu_P3B_Data_1	PEM Tropics B P-3B In-Situ Aerosol Data	LARC_CLOUD STAC Catalog	1999-03-05	1999-04-12	-180, -36.33, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2961263115-LARC_CLOUD.umm_json	PEM-Tropics-B_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Condensation Nuclei Counters (CNC) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_AircraftRemoteSensing_DC8_DIAL_Data_1	PEM Tropics B DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data	LARC_CLOUD STAC Catalog	1999-03-07	1999-04-19	-180, -36.35, 180, 34.36	https://cmr.earthdata.nasa.gov/search/concepts/C2963425948-LARC_CLOUD.umm_json	PEM-Tropics-B_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_AircraftRemoteSensing_DC8_Data_1	PEM Tropics B DC-8 Remotely Sensed Data	LARC_CLOUD STAC Catalog	1999-02-20	1999-04-19	-180, -36.35, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2963334033-LARC_CLOUD.umm_json	PEM-Tropics-B_AircraftRemoteSensing_DC8_Data is the remote sensing data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from actinometers is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_AircraftRemoteSensing_DC8_LASE_Data_1	PEM Tropics B DC-8 Aircraft Remotely Sensed Lidar Atmospheric Sensing Experiment (LASE) Data	LARC_CLOUD STAC Catalog	1999-03-07	1999-04-19	-180, -36.35, 180, 34	https://cmr.earthdata.nasa.gov/search/concepts/C2963411643-LARC_CLOUD.umm_json	PEM-Tropics-B_AircraftRemoteSensing_DC8_LASE_Data is the remotely sensed Lidar Atmospheric Sensing Experiment (LASE) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_AircraftRemoteSensing_P3B_Data_1	PEM Tropics B P-3B Remotely Sensed Data	LARC_CLOUD STAC Catalog	1999-03-05	1999-04-12	-180, -36.33, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2961242127-LARC_CLOUD.umm_json	PEM-Tropics-B_AircraftRemoteSensing_P3B_Data is the remote sensing data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from actinometers and the Scanning Actinic Flux Spectroradiometer (SAFS) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_Lightning_Data_1	PEM Tropics B Lightning Data	LARC_CLOUD STAC Catalog	1999-03-05	1999-04-12	-180, -36.33, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2954320357-LARC_CLOUD.umm_json	PEM-Tropics-B_Lightning_Data is the lightning data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_Merge_Data_1	PEM Tropics B Merge Data	LARC_CLOUD STAC Catalog	1999-02-20	1999-04-19	180, -36.35, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2961198923-LARC_CLOUD.umm_json	PEM-Tropics-B_Merge_Data is the merge data collected onboard during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_MetNav_AircraftInSitu_DC8_Data_1	PEM Tropics B In-Situ DC-8 Meteorology and Navigation Data	LARC_CLOUD STAC Catalog	1999-02-20	1999-04-19	-180, -36.4, 180, 35.8	https://cmr.earthdata.nasa.gov/search/concepts/C2963372858-LARC_CLOUD.umm_json	PEM-Tropics-B_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the DC-8 Data Acquisition and Distribution System (DADS), Microwave Temperature Profiler (MTP), and the Diode Laser Hygrometer (DLH) are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_MetNav_AircraftInSitu_P3B_Data_1	PEM Tropics B In-Situ P-3B Meteorology and Navigation Data	LARC_CLOUD STAC Catalog	1999-03-05	1999-04-12	-166, -21, -72, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2961257306-LARC_CLOUD.umm_json	PEM-Tropics-B_MetNav_AircraftInSitu_P3B_Data is the in-situ meteorology and navigation data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Turbulent Air Motion Measurement System (TAMMS) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_Model_Data_1	PEM Tropics B Model Data	LARC_CLOUD STAC Catalog	1999-02-20	1999-04-19	-180, -36.35, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2961175127-LARC_CLOUD.umm_json	PEM-Tropics-B_Model_Data is the model data collected during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_Satellite_Data_1	PEM Tropics B Satellite Data	LARC_CLOUD STAC Catalog	1999-03-05	1999-04-12	-180, -36.33, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2954448130-LARC_CLOUD.umm_json	PEM-Tropics-B_Satellite_Data is the satellite data collected during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Geostationary Operational Environmental Satellite - 10 (GOES-10) and the Measurements of Pollution In The Troposphere (MOPITT) instrument are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_Sondes_Data_1	PEM Tropics B Sondes Data	LARC_CLOUD STAC Catalog	1998-01-03	1999-12-24	-170.56, -45.045, 178.4, -14.23	https://cmr.earthdata.nasa.gov/search/concepts/C2960952826-LARC_CLOUD.umm_json	PEM-Tropics-B_Sondes_Data is the ozonesonde data collected during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_TraceGas_AircraftInSitu_DC8_Data_1	PEM Tropics B DC-8 In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1999-02-20	1999-04-19	-180, -36.35, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2963474959-LARC_CLOUD.umm_json	PEM-Tropics-B_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, Laser Induced Fluorescence (LIF), grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_TraceGas_AircraftInSitu_P3B_Data_1	PEM Tropics B P-3B In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1999-03-05	1999-04-12	-180, -36.33, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2961277229-LARC_CLOUD.umm_json	PEM-Tropics-B_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, Chemical Ionization Mass Spectrometer (CIMS), grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_Trajectory_DC8_Data_1	PEM Tropics B DC-8 Trajectory Data	LARC_CLOUD STAC Catalog	1999-02-20	1999-04-19	-180, -36.35, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2961285673-LARC_CLOUD.umm_json	PEM-Tropics-B_Trajectory_DC8_Data is the trajectory data collected along the DC-8 aircraft flight track during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_Trajectory_P3B_Data_1	PEM Tropics B P-3B Trajectory Data	LARC_CLOUD STAC Catalog	1994-03-05	1999-04-12	-180, -36.33, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2961221391-LARC_CLOUD.umm_json	PEM-Tropics-B_Trajectory_P3B_Data is the trajectory data collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_jValue_AircraftInSitu_DC8_Data_1	PEM Tropics B DC-8 Photolysis Frequencies (J-Values)	LARC_CLOUD STAC Catalog	1999-02-20	1999-04-19	-180, -36.35, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2954416101-LARC_CLOUD.umm_json	PEM-Tropics-B_TraceGas_AircraftInSitu_DC8_Data is the photolysis frequencies (j-values) collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-Tropics-B_jValue_AircraftInSitu_P3B_Data_1	PEM Tropics B P-3B Photolysis Frequencies (J-Values)	LARC_CLOUD STAC Catalog	1999-03-05	1999-04-12	-180, -36.33, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2954369145-LARC_CLOUD.umm_json	PEM-Tropics-B_jValue_AircraftInSitu_P3B_Data is the photolysis frequencies (j-values) collected onboard the P-3B aircraft during the Pacific Exploratory Mission (PEM) Tropics B suborbital campaign. Data from the Scanning Actinic Flux Spectroradiometer (SAFS) is featured in this collection. Data collection for this product is complete.    From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on the tropical Pacific region (PEM-Tropics) which was recognized as a “very large chemical vessel.” The overarching science objective was to assess the anthropogenic impact on tropospheric oxidizing power. A secondary objective was to investigate the impact of atmospheric sulfur chemistry, including oxidation of marine biogenic emission of dimethyl sulfide (DMS) on aerosol loading and radiative effect, which is of critical importance in the assessment of global climate change. The PEM-Tropics mission was conducted in two phases to contrast the influence of biomass burning in the dry season and the “relatively clean” wet season. The first, PEM-Tropics A, was carried out during the end of the dry season (August-September 1996), and the second, PEM-Topics B, was conducted during the wet season (March-April 1999).   To accomplish its objectives, PEM-Tropics enlisted the NASA DC-8 and P-3B aircrafts to carry out longitudinal and latitudinal surveys at various altitudes as well as vertical profile sampling across the Pacific basin. Both aircrafts were equipped with in-situ instruments measuring hydroperoxyl radicals (HOx), ozone (O3), photochemical precursors (including, reactive nitrogen species and non-methane hydrocarbon species), and intermediate products (e.g., hydrogen peroxide (H2O2), formaldehyde (CH2O), and acetic acid (CH3OOH). The P3-B in-situ instrument payload also included a direct measurement of hydroxyl (OH) for both missions, while the OH and hydroperoxyl radical (HO2) measurements were added to DC-8 aircraft for PEM-Tropics B. Taking advantage of its excellent low altitude capability, the P-3B was instrumented with a comprehensive sulfur measurement package and conducted pseudo-Lagragian sampling for evaluating DMS oxidation chemistry, including measurements of DMS, sulfur dioxide (SO2), sulfuric acid (H2SO4), and methylsulfonic acid (MSA) as well as the first airborne measurement of dimethyl sulfoxide (DMSO) during PEM-Tropics B.  More importantly, it was the first time that DMS (the source), OH and O3 (primary oxidants), and products (DMSO, MSA, H2SO4, SO2) were measured simultaneously aboard an aircraft in the tropical pacific. These observations, specifically DMSO, presented a substantial challenge to the DMS oxidation kinetics to this day. The DC-8 aircraft was equipped with the Differential Absoprtion Lidar (DIAL) during PEM-Tropics A, and the differential absorption lidars DIAL and LASE during PEM-Tropics B.  These lidars provided real-time information for fine tuning the flight tracks to capture sampling opportunities.  The lidar data products themselves provide valuable information of vertical profiles of ozone as well as aerosol and water vapor in tropical Pacific  Furthermore, both aircrafts were fitted with instruments for aerosol composition and microphysical property measurements.  Detailed description related to the motivation, implementation, and instrument payloads are available in the PEM-Tropics A overview paper and the PEM-Tropics B overview paper.  Most of the publications based on PEM-Tropics A and B observations are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-Tropics A and NASA Global Tropospheric Experiment Pacific Exploratory Mission in the Tropics Phase B: Measurement and Analyses (PEM-Tropics B), while other publications such as Nowak et al. (2001) were published prior to the special issues.	proprietary
+PEM-West-A_Aerosol_AircraftInSitu_DC8_Data_1	PEM West A DC-8 In-Situ Aerosol Data	LARC_CLOUD STAC Catalog	1991-09-08	1991-10-23	-180, -0.058, 180, 61.338	https://cmr.earthdata.nasa.gov/search/concepts/C2969625804-LARC_CLOUD.umm_json	PEM-West-A_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data utilizing Optical Particle Counters (OPC) and ion chromatography are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-A_AircraftRemoteSensing_DC8_DIAL_Data_1	PEM West A DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data	LARC_CLOUD STAC Catalog	1991-09-17	1991-10-23	-180, 0.29, 180, 61.13	https://cmr.earthdata.nasa.gov/search/concepts/C2969617008-LARC_CLOUD.umm_json	PEM-West-A_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-A_Ground_Data_1	PEM West A Ground Data	LARC_CLOUD STAC Catalog	1991-01-08	1991-12-23	-180, 21.33, 180, 52.92	https://cmr.earthdata.nasa.gov/search/concepts/C2969601511-LARC_CLOUD.umm_json	PEM-West-A_Ground_Data is the ground site data collected during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data utilizing the Nondispersive Infrared Gas Analyzer (NDIR) and chemiluminescence technique are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-A_Merge_Data_1	PEM West A Merge Data	LARC_CLOUD STAC Catalog	1991-09-08	1991-10-23	-180, -80, 180, 61.338	https://cmr.earthdata.nasa.gov/search/concepts/C2968788829-LARC_CLOUD.umm_json	PEM-West-A_Merge_Data is the merge data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, laser induced fluorescence, grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-A_MetNav_AircraftInSitu_DC8_Data_1	PEM West A In-Situ DC-8 Meteorology and Navigation Data	LARC_CLOUD STAC Catalog	1991-09-08	1991-10-23	-180, -62, 180, 61.338	https://cmr.earthdata.nasa.gov/search/concepts/C2968873030-LARC_CLOUD.umm_json	PEM-West-A_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data from the DC-8 Data Acquisition and Distribution System is featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-A_Model_Data_1	PEM West A Model Data	LARC_CLOUD STAC Catalog	1991-09-23	1991-10-07	112.54, 18.298, 150.57, 42.868	https://cmr.earthdata.nasa.gov/search/concepts/C2969583878-LARC_CLOUD.umm_json	PEM-West-A_Model_Data is the model data collected during the Pacific Exploratory Mission (PEM) West A suborbital campaign.  Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-A_TraceGas_AircraftInSitu_DC8_Data_1	PEM West A DC-8 In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1991-09-08	1991-10-23	-180, -0.058, 180, 61.338	https://cmr.earthdata.nasa.gov/search/concepts/C2969638358-LARC_CLOUD.umm_json	PEM-West-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, laser induced fluorescence, grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  	proprietary
+PEM-West-A_Trajectory_Data_1	PEM West A Trajectory Data	LARC_CLOUD STAC Catalog	1991-09-17	1991-10-22	-180, 0.4, 180, 58.6	https://cmr.earthdata.nasa.gov/search/concepts/C2969559881-LARC_CLOUD.umm_json	PEM-West-A_Trajectory_Data is the trajectory data collected during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-B_Aerosol_AircraftInSitu_DC8_Data_1	PEM West B DC-8 In-Situ Aerosol Data	LARC_CLOUD STAC Catalog	1994-01-26	1994-03-15	-180, -9.7, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2969552719-LARC_CLOUD.umm_json	PEM-West-B_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from the Forward Scattering Spectrometer Probe (FSSP) and the Passive-Cavity Aerosol Spectrometer Probe (PCASP) are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  	proprietary
+PEM-West-B_AircraftRemoteSensing_DC8_DIAL_Data_1	PEM West B DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data	LARC_CLOUD STAC Catalog	1994-02-09	1994-03-15	-180, -9.7, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2969539232-LARC_CLOUD.umm_json	PEM-West-B_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data collection for this product is complete    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-B_Ground_Data_1	PEM West B Ground Data	LARC_CLOUD STAC Catalog	1991-02-22	1995-01-01	-180, 21.33, 180, 52.92	https://cmr.earthdata.nasa.gov/search/concepts/C2969158533-LARC_CLOUD.umm_json	PEM-West-B_Ground_Data is the ground site data collected during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from the Nondispersive Infrared Gas Analyzer (NDIR) instrument, rawinsondes, chemiluminescence, and gas chromatography techniques are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-B_Lightning_Data_1	PEM West B Lightning Data	LARC_CLOUD STAC Catalog	1994-02-01	1994-03-01	87.4, 2.4, 87.6, 2.6	https://cmr.earthdata.nasa.gov/search/concepts/C2969098800-LARC_CLOUD.umm_json	PEM-West-B_Lightning_Data is the lightning data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-B_Merge_Data_1	PEM West B Merge Data	LARC_CLOUD STAC Catalog	1994-01-26	1994-03-15	-180, -9.7, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2969086164-LARC_CLOUD.umm_json	PEM-West-B_Merge_Data is the merge data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-B_MetNav_AircraftInSitu_DC8_Data_1	PEM West B In-Situ DC-8 Meteorology and Navigation Data	LARC_CLOUD STAC Catalog	1994-01-26	1994-03-15	-180, -9.7, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2969215034-LARC_CLOUD.umm_json	PEM-West-B_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from the DC-8 Data Acquisition and Distribution System is featured in this collection. Data collection for this product is complete.     During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  	proprietary
+PEM-West-B_Model_Data_1	PEM West B Model Data	LARC_CLOUD STAC Catalog	1994-01-02	1994-03-15	-180, -10, 180, 52	https://cmr.earthdata.nasa.gov/search/concepts/C2969068960-LARC_CLOUD.umm_json	PEM-West-B_Model_Data is the model data collected during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
+PEM-West-B_Satellite_Data_1	PEM West B Satellite Data	LARC_CLOUD STAC Catalog	1994-01-26	1994-03-15	-180, -9.7, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2969133029-LARC_CLOUD.umm_json	PEM-West-B_Satellite_Data is the satellite data collected during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from Himawari-4 satellite is featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  	proprietary
+PEM-West-B_TraceGas_AircraftInSitu_DC8_Data_1	PEM West B DC-8 In-Situ Trace Gas Data	LARC_CLOUD STAC Catalog	1994-01-26	1994-03-15	-180, -9.7, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2969648347-LARC_CLOUD.umm_json	PEM-West-B_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data from the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instrument, laser induced fluorescence, grab samples, chemiluminescence, and gas chromatography are featured in this collection. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).  	proprietary
+PEM-West-B_Trajectory_Data_1	PEM West B Trajectory Data	LARC_CLOUD STAC Catalog	1994-02-08	1994-03-15	-180, -9, 180, 59.5	https://cmr.earthdata.nasa.gov/search/concepts/C2969047261-LARC_CLOUD.umm_json	PEM-West-B_Trajectory_Data is the trajectory data collected during the Pacific Exploratory Mission (PEM) West B suborbital campaign. Data collection for this product is complete.    During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns (PEM-West) were conducted over the northwestern Pacific region, considered the only major region in the northern hemisphere that is “relatively” free from direct anthropogenic influences. PEM-West was a part of the East Asian/North Pacific Regional Study (APARE). The overarching objectives of PEM-West were 1) to investigate the atmospheric chemistry of ozone (O3) and its precursors over the northwestern Pacific, including the examination of their natural budgets as well as the impact of anthropogenic sources; and 2) to investigate the atmospheric sulfur cycle over the region with emphasis on the relative importance and influence of continental vs marine sulfur sources. The two phases of PEM-West were conducted during differing seasons due to contrasting tropospheric outflow from Asia. The first phase, PEM-West A, was conducted over the western Pacific region off the eastern coast of Asia from September-October 1991, a season characterized by the predominance of flow from mid-Pacific regions. The second phase, PEM-West B, was conducted from February-March 1994, a period characterized by maximum air mass outflow.     To accomplish its objectives, the PEM-West campaign deployed the NASA DC-8 aircraft across the northwestern Pacific to gather latitudinal, longitudinal, and vertical profile sampling, as well as extensive sampling in both the marine boundary layer and free troposphere. The aircraft was equipped with a comprehensive suite of in-situ instrument packages for characterization of photochemical precursors, intermediate products, and airmass tracers, including O3, nitric oxide (NO), peroxyacetyl nitrate (PAN), nitrogen oxides (NOy), nonmethane hydrocarbons (NMHCs), hydrogen peroxide (H2O2), acetic acid (CH3OOH), carbon monoxide (CO), and formaldehyde (CH2O). Collectively, these measurements enabled the analyses of the photochemical production/destruction of O3 and the distribution of precursor species. In addition, the DC-8 was equipped with instruments for collecting sulfur measurements, including dimethyl sulfide (DMS), carbonyl sulfide (COS), sulfur dioxide (SO2), and carbon disulfide (CS2). Instruments that collected aerosol composition and microphysical properties were also aboard the DC-8. Both missions deployed a Differential Absorption Lidar (DIAL) system for measurements of O3 vertical profiles above and below the aircraft. One highlight of the project was that flight nine of PEM-West A flew over Typhoon Mireille while it made landfall on the coast of Japan. This allowed for a flight by the DC-8 to study the role of typhoons in the transport of trace gases. Detailed descriptions related to the motivation, implementation, and instrument payloads are available in the PEM-West A overview paper and the PEM-West B overview paper. A collection of the publications based on PEM-West A and B observation are available in the Journal of Geophysical Research special issues: Pacific Exploratory Mission-West Phase A and Pacific Exploratory Mission-West, Phase B (PEM-West B).	proprietary
 PERU_0	Optical measurements along the northern coast of Peru in 2003	OB_DAAC STAC Catalog	2003-05-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360594-OB_DAAC.umm_json	Measurements made along the northern coast of Peru in 2003.	proprietary
 PET_PU_3H025_001	RM-OBS/PU Potential Evapotranspiration and Supporting Forcing L4 3-hourly 0.25x0.25 degree V001 (PET_PU_3H025) at GES DISC	GES_DISC STAC Catalog	1984-01-01	2006-12-31	-180, -60, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1575363595-GES_DISC.umm_json	The Princeton University MEaSUREs Potential Evapotranspiration (PET) dataset provides a set of estimates of PET based on near surface meteorology and surface radiation data derived from a combination of reanalysis, satellite and gridded gauge data. The rationale of the project is to reduce the error from the input meteorological forcing and provide a variety of widely-used PET methods for different research and application purposes.  PET is estimated using three methods: Penman open-water method (Penman), Priestley-Taylor method (PT), Reference crop evapotranspiration using the UN Food and Agricultural Organization approach (FAO). The Penman equation assumes PET occurs from an open water surface and calculates PET based on observations of surface net radiation, near-surface air temperature, wind speed, and specific humidity (Shuttleworth, 1993). The PT equation calculates PET based on surface net radiation and near-surface air temperature and does not account for the aerodynamic component (Priestley and Taylor, 1972). The FAO equation is a specific application of the Penman-Monteith equation for crop and short-grass reference surfaces and is based on surface net radiation, near-surface air temperature, wind speed, and specific humidity (Allen, 1998).   This first version of dataset is estimated at a 3 hourly temporal resolution and 0.25x0.25 degrees spatial resolution globally, spanning the 23-year period 1984-2006. Datasets are stored as a 3-dimensional array with dimension 720 x 1440 x 8 for each day, in NetCDF-4 format.	proprietary
 PET_PU_3H025_002	RM-OBS/PU Potential Evapotranspiration and Supporting Forcing L4 3-hourly 0.25x0.25 degree V002 (PET_PU_3H025) at GES DISC	GES_DISC STAC Catalog	1984-01-01	2016-12-31	-180, -60, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2028928738-GES_DISC.umm_json	This is version 2 of  Princeton University MEaSUREs Potential Evapotranspiration (PET) dataset, which provides a set of estimates of PET based on near surface meteorology and surface radiation data derived from a combination of reanalysis, satellite and gridded gauge data. The rationale of the project is to reduce the error from the input meteorological forcing and provide a variety of widely-used PET methods for different research and application purposes.  PET is estimated using three methods: Penman open-water method (Penman), Priestley-Taylor method (PT), Reference crop evapotranspiration using the UN Food and Agricultural Organization approach (FAO). The Penman equation assumes PET occurs from an open water surface and calculates PET based on observations of surface net radiation, near-surface air temperature, wind speed, and specific humidity (Shuttleworth, 1993). The PT equation calculates PET based on surface net radiation and near-surface air temperature and does not account for the aerodynamic component (Priestley and Taylor, 1972). The FAO equation is a specific application of the Penman-Monteith equation for crop and short-grass reference surfaces and is based on surface net radiation, near-surface air temperature, wind speed, and specific humidity (Allen, 1998).  As a follow-on to PET_PU_3H025 Version 1, PET_PU_3H025 Version 2 seeks to continue to reduce the error from the input meteorological forcing and provide a variety of widely-used PET methods for different research and application purposes. The modifications include the addition of the FAO tall reference crop equation, an extension of the radiation data and temporal coverage, the usage of the GLASS satellite albedo to estimate upward short-wave radiation and the estimation of ground heat flux based on diurnal phase shift of net radiation.  This second version of the dataset is estimated at a 3 hourly temporal resolution and 0.25x0.25 degrees spatial resolution globally, spanning the 33-year period 1984-2016. Datasets are stored as a 3-dimensional array with dimension 720 x 1440 x 8 for each day, in NetCDF-4 format.  The DOI for version 1 of the data is: 10.5067/GPZDZYELYG1A.	proprietary
@@ -11925,6 +12222,9 @@ PRECIP_SSMI_F13_1	NASA MEASURES Precipitation Ensemble based on SSM/I DMSP F13 N
 PRECIP_SSMI_F14_1	NASA MEASURES Precipitation Ensemble based on SSM/I DMSP F14 NASA PPS L1C V06 Tbs 1-orbit L2 Swath 12x12km V1 (PRECIP_SSMI_F14) at GES DISC	GES_DISC STAC Catalog	1997-05-07	2008-08-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2368309429-GES_DISC.umm_json	The data presented in this level 2 orbital product are rain rate estimates expressed as mm/hour determined from brightness temperatures (Tbs) obtained from the Special Sensor Microwave/Imager (SSM/I) flown on the US Defense Meteorological Satellite Program (DMSP) F14 mission. Most of the products generated in this data set are based upon the algorithms developed for the 3rd Algorithm Intercomparison Project (AIP-3) of the Global Precipitation Climatology Project (GPCP).  Details of these 15 algorithms and development of a quality score which is a measure of confidence in the estimate, along with processing and algorithmic flags, can be found in the Algorithm Theoretical Basis Document  (ATBD).  The data in this product cover the period from 1997 to 2008 with one file per orbit.	proprietary
 PRECIP_SSMI_F15_1	NASA MEASURES Precipitation Ensemble based on SSM/I DMSP F15 NASA PPS L1C V06 Tbs 1-orbit L2 Swath 12x12km V1 (PRECIP_SSMI_F15) at GES DISC	GES_DISC STAC Catalog	2000-02-03	2006-08-14	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2368309823-GES_DISC.umm_json	The data presented in this level 2 orbital product are rain rate estimates expressed as mm/hour determined from brightness temperatures (Tbs) obtained from the Special Sensor Microwave/Imager (SSM/I) flown on the US Defense Meteorological Satellite Program (DMSP) F15 mission. Most of the products generated in this data set are based upon the algorithms developed for the 3rd Algorithm Intercomparison Project (AIP-3) of the Global Precipitation Climatology Project (GPCP).  Details of these 15 algorithms and development of a quality score which is a measure of confidence in the estimate, along with processing and algorithmic flags, can be found in the Algorithm Theoretical Basis Document  (ATBD).  The data in this product cover the period from 2000 to 2006 with one file per orbit.	proprietary
 PRECIP_TMI_TRMM_1	NASA MEASURES Precipitation Ensemble based on TMI TRMM NASA PPS L1C V05 Tbs 1-orbit L2 Swath 5x5km V1 (PRECIP_TMI_TRMM) at GES DISC	GES_DISC STAC Catalog	1997-12-07	2015-04-08	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2368307239-GES_DISC.umm_json	The data presented in this level 2 orbital product are rain rate estimates expressed as mm/hour determined from brightness temperatures (Tbs) obtained from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) flown on the TRMM satellite. Most of the products generated in this data set are based upon the algorithms developed for the 3rd Algorithm Intercomparison Project (AIP-3) of the Global Precipitation Climatology Project (GPCP).  Details of these 15 algorithms and development of a quality score which is a measure of confidence in the estimate, along with processing and algorithmic flags, can be found in the Algorithm Theoretical Basis Document  (ATBD).  The data in this product cover the period from 1997 to 2015 with one file per orbit.	proprietary
+PREFIRE_SAT1_0-BUS-TLM_R01	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 telemetry R01	LARC_CLOUD STAC Catalog	2024-06-01		-180, -84, 180, 84	https://cmr.earthdata.nasa.gov/search/concepts/C3255933532-LARC_CLOUD.umm_json	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Telemetry (PREFIRE_SAT1_0-BUS-TLM) contains positioning and pointing information for one of two PREFIRE polar orbiting CubeSats. Both CubeSats carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale.  PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions.  This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the time, beta angle, orbit position and velocity, and quaternion of PREFIRE Satellite 1 (PREFIRE-SAT1). These telemeters, in combination with a Digital Elevation Map, are used to geolocate PREFIRE data on the Earth’s surface.    Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions.  This data is retrieved at a frequency of 1Hz and is available in CSV format.    Positioning and pointing information for the sister satellite, PREFIRE-SAT2, can be found in the PREFIRE_SAT2_0-BUS-TLM collection.	proprietary
+PREFIRE_SAT1_0-PAYLOAD-TLM_R01	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Curated Payload R01	LARC_CLOUD STAC Catalog	2024-06-01		-180, -84, 180, 84	https://cmr.earthdata.nasa.gov/search/concepts/C3255933550-LARC_CLOUD.umm_json	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Curated Payload (PREFIRE_SAT1_0-PAYLOAD-TLM)  contains the curated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the raw, curated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 1 (PREFIRE-SAT1). Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in binary format.    The PREFIRE_SAT2_0-PAYLOAD-TLM collection contains raw, curated digital number counts for the sister instrument aboard PREFIRE-SAT2.  	proprietary
+PREFIRE_SAT1_0-PAYLOAD_R01	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Payload R01	LARC_CLOUD STAC Catalog	2024-06-01		-180, -84, 180, 84	https://cmr.earthdata.nasa.gov/search/concepts/C3255933578-LARC_CLOUD.umm_json	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Raw Payload (PREFIRE_SAT1_0-PAYLOAD) contains the uncurated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the raw and uncurated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 1 (PREFIRE-SAT1). Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in binary format.    Raw, uncurated digital number counts for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_0-PAYLOAD collection.	proprietary
 PREFIRE_SAT2_0-BUS-TLM_R01	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 telemetry R01	LARC_CLOUD STAC Catalog	2024-05-01		-180, -84, 180, 84	https://cmr.earthdata.nasa.gov/search/concepts/C3246712895-LARC_CLOUD.umm_json	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Telemetry (PREFIRE_SAT2_0-BUS-TLM) contains positioning and pointing information for one of two PREFIRE polar orbiting CubeSats. Both CubeSats carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale.  PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions.  This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the time, beta angle, orbit position and velocity, and the quaternion of PREFIRE Satellite 2 (PREFIRE-SAT2).  Combined with a Digital Elevation Map, these telemeters geolocate PREFIRE data on the Earth’s surface.      Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions.  This data is retrieved at a frequency of 1Hz and is available in CSV format.    Positioning and pointing information for the sister satellite, PREFIRE-SAT1, can be found in the PREFIRE_SAT1_0-BUS-TLM collection.    	proprietary
 PREFIRE_SAT2_0-PAYLOAD-TLM_R01	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Raw Curated Radiance R01	LARC_CLOUD STAC Catalog	2024-05-01		-180, -84, 180, 84	https://cmr.earthdata.nasa.gov/search/concepts/C3246712936-LARC_CLOUD.umm_json	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Raw Curated Radiance (PREFIRE_SAT2_0-PAYLOAD-TLM) contains the curated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the raw, curated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 2 (PREFIRE-SAT2). Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in binary format.    Raw, curated digital number counts for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_0-PAYLOAD-TLM collection.  	proprietary
 PREFIRE_SAT2_0-PAYLOAD_R01	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Raw Payload R01	LARC_CLOUD STAC Catalog	2024-05-01		-180, -84, 180, 84	https://cmr.earthdata.nasa.gov/search/concepts/C3246712916-LARC_CLOUD.umm_json	Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Raw Payload (PREFIRE_SAT2_0-PAYLOAD) contains the uncurated raw measurements from one of two PREFIRE Thermal Infrared Spectrometers (TIRS-PREFIRE), which is a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale.  PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions.  This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.    This collection contains the raw and uncurated digital number counts for TIRS-PREFIRE aboard PREFIRE Satellite 2 (PREFIRE-SAT2).  Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions.  This data has a temporal resolution of 0.707 seconds and is available in binary format.    Raw, uncurated digital number counts for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_0-PAYLOAD collection.	proprietary
@@ -12351,6 +12651,7 @@ SFC_NITROGEN_DIOXIDE_CONC_1	Nitrogen Dioxide Surface-Level Annual Average Concen
 SFMBON_0	South Florida Marine Biodiversity Observation Network (SFMBON)	OB_DAAC STAC Catalog	2015-07-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1934268141-OB_DAAC.umm_json	The South Florida Marine Biodiversity Observation Network (SFMBON) build on the foundations laid by the present Sanctuaries MBON demonstration. A close partnership with NOAA AOML and the FKNMS has focused on periodic MBON surveys of the Florida Keys since 2014. The South Florida MBON seeks to integrate ground and satellite observations related to biodiversity to inform ecosystem-based management in and around the Florida Keys National Marine Sanctuary (FKNMS).	proprietary
 SFP_0	South Florida Program (SFP)	OB_DAAC STAC Catalog	2012-02-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360659-OB_DAAC.umm_json	South Florida Program (SFP)	proprietary
 SGER_0	Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003	OB_DAAC STAC Catalog	2003-11-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360660-OB_DAAC.umm_json	Measurements sponsored by the NSF Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003.	proprietary
+SHIFT_AVIRISNG_L2A_refl_2376_1	SHIFT: AVIRIS-NG L2A Unrectified Surface Reflectance Version 1	ORNL_CLOUD STAC Catalog	2022-02-24	2022-05-29	-120.64, 33.86, -117.85, 34.9	https://cmr.earthdata.nasa.gov/search/concepts/C3255170754-ORNL_CLOUD.umm_json	This dataset contains Level 2A (L2A) unrectified surface reflectance images from NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign which occurred during February to May, 2022, with a follow up activity for one week in September. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect VSWIR data at approximately a weekly cadence across a broad study area, enabling traceability analyses related to the science value of VSWIR revisits. This campaign will generate precise, high-frequency data on plant communities collected over nearly 1,656 square kilometers across Santa Barbara County, California, US, and nearby coastal Pacific waters. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures reflected radiance at 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The AVIRIS-NG sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub-meter range.  The AVIRIS-NG L2A data are provided in ENVI binary format, which includes a flat binary file accompanied by a header (.hdr) file holding metadata in text format.	proprietary
 SHIFT_AVNG_Canopy_WaterContent_2242_1	SHIFT: AVIRIS-NG Derived Gridded Mosaicked Canopy Water Content, California, 2022	ORNL_CLOUD STAC Catalog	2022-02-24	2022-05-17	-120.63, 34.35, -119.87, 34.91	https://cmr.earthdata.nasa.gov/search/concepts/C2755452168-ORNL_CLOUD.umm_json	This dataset provides per-pixel vegetation canopy water content (CWC) derived from surface reflectance measured by the Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument from 2022-02-24 to 2022-05-17. This imagery was acquired as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign. AVIRIS-NG measures reflected radiance in 425 bands at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Measurements were radiometrically and geometrically calibrated as well as atmospherically corrected, and are provided at approximately 5-meter spatial resolution. These data include mosaics of several flight lines that were flown on a weekly basis covering a 640-square-mile (1,656-square-kilometer) study area, which stretches from Los Padres National Forest in the east to the Central California coast and into the coastal ocean in the west, including Dangermond Preserve and UCSB's Sedgwick Reserve. These data will help track changes in vegetation characteristics from late winter through early summer by providing insights into health and resilience of ecosystems as California's climate grows drier. In particular, temporal and spatial patterns of CWC will indicate drought stress and increased wildfire risk. The CWC files in this publication were processed by applying a simple fitting of spectral absorption features of liquid water and are distributed in cloud-optimized GeoTIFF (COG) format.	proprietary
 SHIFT_AVNG_FullRes_QkLook_2189_1	SHIFT: AVIRIS-NG Full-Resolution True Color Images	ORNL_CLOUD STAC Catalog	2022-02-24	2022-05-17	-120.64, 34.36, -119.48, 34.9	https://cmr.earthdata.nasa.gov/search/concepts/C2844912911-ORNL_CLOUD.umm_json	This dataset holds full-resolution 3-band (true color) imagery acquired by NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign which occurred during February to May, 2022, with a follow up activity for one week in September. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect VSWIR data at approximately a weekly cadence across a broad study area, enabling traceability analyses related to the science value of VSWIR revisits. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures radiance at approximately 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The images in this dataset are true color (RGB) images from the wavelengths centered at approximately 808, 658, and 563 nm, subset from the full spectrum collected by AVIRIS-NG. The spatial resolution matches the native observed resolution (variable depending on the flightline, generally finer than 5 m and down to 2 m). There are two files for each flight line, one in PNG and one in georeferenced cloud-optimized GeoTIFF format; the GeoTIFF contains radiance floating point values while the PNG has been scaled and converted to integers.	proprietary
 SHIFT_AVNG_L1A_RDN_unrec_2184_1	SHIFT: AVIRIS-NG L1A Unrectified Radiance	ORNL_CLOUD STAC Catalog	2022-02-24	2022-05-29	-120.64, 33.9, -119.45, 34.9	https://cmr.earthdata.nasa.gov/search/concepts/C2769459290-ORNL_CLOUD.umm_json	This dataset contains Level 1A (L1A) unrectified surface radiance image files as well as files of observational geometry and illumination parameters and supporting sensor band information from NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect VSWIR data at approximately a weekly cadence across a broad study area, enabling traceability analyses related to the science value of VSWIR revisits. This campaign will generate precise, high-frequency data on plant communities collected over nearly 1,656 square kilometers across Santa Barbara County, California, US, and nearby coastal Pacific waters. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures reflected radiance at 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The AVIRIS-NG sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub-meter range. In this dataset, for each flight line, four file types are included: unrectified measured surface radiance image (rdn) files, geometric lookup table (glt), gridded files of input geometry (igm), and parameters relating to the geometry of observation and illumination rendered using the geometric lookup table (obs). The AVIRIS-NG L1B data are provided in ENVI binary format, which includes a flat binary file (bin) accompanied by a header (hdr) file holding metadata in text format.	proprietary
@@ -13291,21 +13592,55 @@ TELLUS_GRFO_L3_JPL_RL06.1_OCN_v04_RL06.1v04	JPL TELLUS GRACE-FO Level-3 Monthly
 TELLUS_GRFO_L3_JPL_RL06.3_LND_v04_RL06.3v04	JPL TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.3 version 04	POCLOUD STAC Catalog	2018-05-22		-180, -89.5, 180, 89.5	https://cmr.earthdata.nasa.gov/search/concepts/C3193302127-POCLOUD.umm_json	This data set is produced by the Jet Propulsion Laboratory (JPL) as part of the GRACE-FO (Gravity Recovery and Climate Experiment Follow-On) program and derives the terrestrial water storage anomaly given as equivalent water thickness. These monthly grids are derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. This quantity represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Data grids are provided in ASCII/netCDF/GeoTIFF formats. <br><br>    GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Additionally, this RL06.3 is an updated release of the previous RL06.1. It differs from RL06.1 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; see respective L-2 data descriptions. RL06.3 uses the ACX2-L1B data products. All GRACE-FO RL06.3 Level-3 fields are fully compatible with the GRACE RL06 data.	proprietary
 TELLUS_GRFO_L3_JPL_RL06.3_OCN_v04_RL06.3v04	JPL TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.3 version 04	POCLOUD STAC Catalog	2018-05-22		-180, -89.5, 180, 89.5	https://cmr.earthdata.nasa.gov/search/concepts/C3193304376-POCLOUD.umm_json	This data set is produced by the Jet Propulsion Laboratory (JPL) as part of the GRACE-FO (Gravity Recovery and Climate Experiment Follow-On) program and derives the ocean bottom pressure (OBP) anomaly given as equivalent water thickness. These monthly grids are derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. This quantity represents sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Data grids are provided in ASCII/netCDF/GeoTIFF formats. <br><br>    GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Additionally, this RL06.3 is an updated release of the previous RL06.1. It differs from RL06.1 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; see respective L-2 data descriptions. RL06.3 uses the ACX2-L1B data products. All GRACE-FO RL06.3 Level-3 fields are fully compatible with the GRACE RL06 data.	proprietary
 TEMPEST_STPH8_L1_TSDR_V10.0_10.0	TEMPEST STP-H8 Antenna and Microwave Brightness Temperatures Version 10.0	POCLOUD STAC Catalog	2022-01-08	2024-12-31	-180, -61, 180, 61	https://cmr.earthdata.nasa.gov/search/concepts/C3237795822-POCLOUD.umm_json	!!!Temporary notice posted Sept. 27th, 2024!!! These data are in the process of being ingested and not all files are available yet. The data were made public early to allow assessment by early science users. Accordingly, not all data set resources may be available yet. Please check over the next 2-3 weeks for finalization of this data set and PO.DAAC's release announcement. <br><br> This dataset includes satellite-based observations of calibrated, geo-located antenna temperature and brightness temperatures, along with the sensor telemetry used to derive those values. Brightness temperatures are derived from the microwave band frequencies 87, 164, 174, 178 and 181 GHz. This product is best suited for a cal/val user or sensor expert. These level 1c measurements make up the temperature sensor data record (TSDR) from the TEMPEST (Temporal Experiment for Storms and Tropical Systems) sensor aboard the international space station (ISS), starting in January 2022 forward-streaming to PO.DAAC till the planned mission end in December 2024. TEMPEST swath width is 1400 kilometers and resolution at nadir is 25 km for the 87 GHz channel and 13 km for the 180 GHz channels. Data files in HDF5 format are available at roughly hourly frequency (the ISS orbit period is ~90 minutes), although note that the coverage shown in the thumbnail is for a full day. Files include calibration and flag data in addition to brightness temperatures. Version 10.0 is the first public release, and is named as such to be consistent with the internal version numbering of the project team prior to release. <br><br> The TEMPEST instrument is a microwave radiometer deployed as part of the Space Test Program - Houston 8 (STP-H8) technology demonstration mission, with the primary objective of tropical cyclone intensity tracking. It operates nominally on-orbit aboard the ISS and data are non-sun-synchronous. A successful mission will demonstrate a lower-cost, lighter-weight sensor architecture for providing microwave data. TEMPEST was provided by the Jet Propulsion Laboratory and flown by the United States Space Force, Space Systems Command, Development Corps for Innovation and Prototyping.	proprietary
+TEMPO_CLDO4_L2_V01	TEMPO cloud pressure and fraction (O2-O2 dimer) V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724037909-LARC_CLOUD.umm_json	O2-O2 cloud Level 2 files provide cloud information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), scene albedo, scene pressure, ancillary data used in calculation, and processing quality flags. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors as a function of geometry, surface albedo, surface pressure and cloud pressure. Please refer to the ATBD for details.	proprietary
+TEMPO_CLDO4_L2_V02	TEMPO cloud pressure and fraction (O2-O2 dimer) V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842848626-LARC_CLOUD.umm_json	O2-O2 cloud Level 2 files provide cloud information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), scene albedo, scene pressure, ancillary data used in calculation, and processing quality flags. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors as a function of geometry, surface albedo, surface pressure and cloud pressure. Please refer to the ATBD for details.	proprietary
 TEMPO_CLDO4_L2_V03	TEMPO cloud pressure and fraction (O2-O2 dimer) V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930760329-LARC_CLOUD.umm_json	O2-O2 cloud Level 2 files provide cloud information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), ancillary data, processing quality flags, etc. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors, GEOS-CF forecast meteorology, and GLER surface albedo.	proprietary
+TEMPO_CLDO4_L3_V01	TEMPO gridded cloud fraction and pressure (O2-O2 dimer) V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724035076-LARC_CLOUD.umm_json	O2-O2 cloud Level 3 files provide cloud information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on effective cloud fraction, cloud optical centroid pressure, cloud radiance fraction, and ancillary data used in the calculation. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_CLDO4_L3_V02	TEMPO gridded cloud fraction and pressure (O2-O2 dimer) V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842849693-LARC_CLOUD.umm_json	O2-O2 cloud Level 3 files provide cloud information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on effective cloud fraction, cloud optical centroid pressure, cloud radiance fraction, and ancillary data used in the calculation. The re-gridding algorithm uses an area-weighted approach.	proprietary
 TEMPO_CLDO4_L3_V03	TEMPO gridded cloud fraction and pressure (O2-O2 dimer) V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930727817-LARC_CLOUD.umm_json	O2-O2 cloud Level 3 files provide cloud information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on effective cloud fraction, cloud optical centroid pressure, and ancillary data. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_CLDRR_L3_V01	TEMPO gridded cloud fraction and pressure (Raman scattering)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724035667-LARC_CLOUD.umm_json	Since these are test data, we do not have an abstract yet	proprietary
+TEMPO_DRK_L1_V01	TEMPO dark exposure V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-06-06		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724057022-LARC_CLOUD.umm_json	Level 1 dark files provide the processed dark currents, corresponding to either solar irradiance measurements or radiance measurements. Each file includes the measured dark currents for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on dark current rates of all frames and their average for the UV and visible bands, pixel quality flags and other ancillary information. The product is produced using the image processing of L0-1b processor. Please refer to the ATBD for details.	proprietary
 TEMPO_DRK_L1_V02	TEMPO dark exposure V02 (BETA)	LARC_CLOUD STAC Catalog	2023-06-06		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842836142-LARC_CLOUD.umm_json	Level 1 dark files provide the processed dark currents, corresponding to either solar irradiance measurements or radiance measurements. Each file includes the measured dark currents for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on dark current rates of all frames and their average for the UV and visible bands, pixel quality flags and other ancillary information. The product is produced using the image processing of L0-1b processor. Please refer to the ATBD for details.  These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters.  Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status.  The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov.	proprietary
 TEMPO_DRK_L1_V03	TEMPO dark exposure V03 (BETA)	LARC_CLOUD STAC Catalog	2023-06-08		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930729926-LARC_CLOUD.umm_json	Level 1 dark files provide the processed dark currents, corresponding to either solar irradiance measurements or radiance measurements. Each file includes the measured dark currents for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on dark current rates of all frames and their average for the UV and visible bands, pixel quality flags and other ancillary information. The product is produced using the image processing of L0-1b processor.	proprietary
+TEMPO_HCHO-PROXY_L2_V01	TEMPO Formaldehyde total column Proxy V01	LARC_CLOUD STAC Catalog	2013-07-01	2014-06-30	-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2634111678-LARC_CLOUD.umm_json	This is a “fast” proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO HCHO data during the pre-launch era of the mission. The procedure for generating the “fast” proxy HCHO product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a-priori) from G5NR-chem are provided as input into the “fast” proxy methodology. Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure. True slant column densities are calculated from the HCHO truth profiles multiplied by the scattering weights in each model layer. A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities. A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy HCHO vertical column density product. Overall, the “fast” proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms. The proxy product is not intended for supporting scientific publications, operational decisions, etc.    Permission is needed for data access.	proprietary
+TEMPO_HCHO-PROXY_L2_V02	TEMPO Formaldehyde total column Proxy V02	LARC_CLOUD STAC Catalog	2013-07-01	2014-06-30	-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2725387165-LARC_CLOUD.umm_json	This is a “fast” proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO HCHO data during the pre-launch era of the mission. The procedure for generating the “fast” proxy HCHO product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a-priori) from G5NR-chem are provided as input into the “fast” proxy methodology. Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure. True slant column densities are calculated from the HCHO truth profiles multiplied by the scattering weights in each model layer. A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities. A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy HCHO vertical column density product. Overall, the “fast” proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms. The proxy product is not intended for supporting scientific publications, operational decisions, etc.    Permission is needed for data access.	proprietary
+TEMPO_HCHO_L2_V01	TEMPO formaldehyde total column V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2732717000-LARC_CLOUD.umm_json	Formaldehyde Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on vertical columns, ancillary data used in air mass factor calculations and reference sector corrections, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) reference sector corrections. For further details, please refer to the ATBD.	proprietary
+TEMPO_HCHO_L2_V02	TEMPO Formaldehyde total column V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842838927-LARC_CLOUD.umm_json	Formaldehyde Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on vertical columns, ancillary data used in air mass factor calculations and reference sector or de-striping corrections, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) reference sector or de-striping corrections as necessary. For further details, please refer to the ATBD.	proprietary
 TEMPO_HCHO_L2_V03	TEMPO formaldehyde total column V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930730944-LARC_CLOUD.umm_json	Formaldehyde Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on vertical columns, ancillary data used in air mass factor calculations and reference sector corrections, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) reference sector corrections.	proprietary
+TEMPO_HCHO_L3_V01	TEMPO gridded formaldehyde total column V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724036159-LARC_CLOUD.umm_json	Formaldehyde Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on formaldehyde vertical columns, ancillary data used in air mass factor calculations and reference sector or de-striping corrections, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_HCHO_L3_V02	TEMPO gridded formaldehyde total column V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842849916-LARC_CLOUD.umm_json	Formaldehyde Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on formaldehyde vertical columns, ancillary data used in air mass factor calculations and reference sector or de-striping corrections, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.	proprietary
 TEMPO_HCHO_L3_V03	TEMPO gridded formaldehyde total column V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930761273-LARC_CLOUD.umm_json	Formaldehyde Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on formaldehyde vertical columns, ancillary data used in air mass factor calculations and reference sector or de-striping corrections, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_IRRR_L1_V01	TEMPO solar irradiance (reference diffuser) V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724056242-LARC_CLOUD.umm_json	Level 1 reference irradiance files provide solar irradiance measured using the reference solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration. Please refer to the ATBD for details.	proprietary
 TEMPO_IRRR_L1_V02	TEMPO solar irradiance (reference diffuser) V02 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842851180-LARC_CLOUD.umm_json	Level 1 reference irradiance files provide solar irradiance measured using the reference solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration. Please refer to the ATBD for details.  These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters.  Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status.  The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov.	proprietary
 TEMPO_IRRR_L1_V03	TEMPO solar irradiance (reference diffuser) V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930728569-LARC_CLOUD.umm_json	Level 1 reference irradiance files provide solar irradiance measured using the reference solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration.	proprietary
+TEMPO_IRR_L1_V01	TEMPO solar irradiance V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724055205-LARC_CLOUD.umm_json	Level 1 irradiance files provide solar irradiance measured using the working solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration. Please refer to the ATBD for details.	proprietary
 TEMPO_IRR_L1_V02	TEMPO solar irradiance V02 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842852230-LARC_CLOUD.umm_json	Level 1 irradiance files provide solar irradiance measured using the working solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration. Please refer to the ATBD for details.  These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters.  Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status.  The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov.	proprietary
 TEMPO_IRR_L1_V03	TEMPO solar irradiance V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930757598-LARC_CLOUD.umm_json	Level 1 irradiance files provide solar irradiance measured using the working solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration.	proprietary
+TEMPO_NO2-PROXY_L2_V02	TEMPO NO2 tropospheric column PROXY	LARC_CLOUD STAC Catalog	2013-07-01	2014-06-30	-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2725397567-LARC_CLOUD.umm_json	This is a “fast” proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO NO2 data during the pre-launch era of the mission. The procedure for generating the “fast” proxy NO2 product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a-priori) from G5NR-chem are provided as input into the “fast” proxy methodology. Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure. True slant column densities are calculated from the NO2 truth profiles multiplied by the scattering weights in each model layer. A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities. A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy NO2 vertical column density product. Overall, the “fast” proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms. The proxy product is not intended for supporting scientific publications, operational decisions, etc.    Permission is needed for data access.	proprietary
+TEMPO_NO2-PROXY_L3_V01	TEMPO gridded NO2 total column PROXY	LARC_CLOUD STAC Catalog	2013-07-01	2014-06-30	-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2673637273-LARC_CLOUD.umm_json	This is a “fast” proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO level 3 (L3) NO2 data before real data are available from the mission after launch.  The procedure for generating the “fast” proxy L3 NO2 product is the same as the level 2 (L2) product, except for the regridding step at the end of the L3 procedure.  Hourly model (truth) profiles and monthly-average hourly trace gas (a-priori) profiles from the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem; ~12.5 x 12.5 km2 resolution) are sampled at the TEMPO footprint (2.0 x 4.75 km2 at the center of the Field of Regard) to represent the true state of the atmosphere and climatological conditions, respectively.  Scattering weights are based on calculations from pre-computed lookup tables as a function of viewing geometry, surface reflectance, cloud fraction, and cloud pressure.  True slant column densities are calculated from the NO2 truth profiles multiplied by the scattering weights in each model layer.  A similar set of calculations are performed using the climatological model profiles to derive air mass factors from the slant column and vertical column densities.  A statistical noise model is then applied to add random noise, primarily as a function of radiance, to the true slant column densities, which are divided by the climatological air mass factors to derive the proxy NO2 vertical column density product at the TEMPO footprint.  Lastly, a geometric regridding procedure is applied, which weights the contributions of each L2 pixel to the target L3 polygon based on the geometric overlap, to generate the L3 product on a regular grid at 0.05° resolution.  Overall, the “fast” proxy methodology accounts for retrieval physics/sensitivity/uncertainty, but not by the operational retrieval algorithms.  The proxy product is not intended for supporting scientific publications, operational decisions, etc.  Permission is needed to access the data. 	proprietary
+TEMPO_NO2_L2_V01	TEMPO NO2 tropospheric, stratospheric, and total columns V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724057189-LARC_CLOUD.umm_json	Nitrogen dioxide Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) stratospheric/tropospheric separation. For further details, please refer to the ATBD.	proprietary
+TEMPO_NO2_L2_V02	TEMPO NO2 tropospheric, stratospheric, and total columns V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842848994-LARC_CLOUD.umm_json	Nitrogen dioxide Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) stratospheric/tropospheric separation. For further details, please refer to the ATBD.	proprietary
 TEMPO_NO2_L2_V03	TEMPO NO2 tropospheric and stratospheric columns V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930725014-LARC_CLOUD.umm_json	Nitrogen dioxide Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) stratospheric/tropospheric separation.	proprietary
+TEMPO_NO2_L3_V01	TEMPO gridded NO2 tropospheric, stratospheric, and total columns V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-02		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724036633-LARC_CLOUD.umm_json	Nitrogen dioxide Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_NO2_L3_V02	TEMPO gridded NO2 tropospheric, stratospheric, and total columns V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842850219-LARC_CLOUD.umm_json	Nitrogen dioxide Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.	proprietary
 TEMPO_NO2_L3_V03	TEMPO gridded NO2 tropospheric and stratospheric columns V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930763263-LARC_CLOUD.umm_json	Nitrogen dioxide Level 3 files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_O3PROF-PROXY_L2_V02	TEMPO OZONE PROFILE PROXY	LARC_CLOUD STAC Catalog	2013-07-01	2014-06-30	-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2725407324-LARC_CLOUD.umm_json	This is a “fast” proxy dataset for the TEMPO early adopters community, aimed to familiarize users on the planned file structure and content of TEMPO O3 profile data during the pre-launch era of the mission. The procedure for generating the proxy O3 profile product relies on simulated atmospheric conditions from the chemical transport model, named the NASA Goddard Earth Observing System version 5 Earth system model (GEOS-5 ESM) with GEOS-Chem as a chemical module (G5NR-chem). Hourly model profiles (truth profiles) and monthly/hourly trace gas climatology (a priori) from G5NR-chem are resampled at the TEMPO footprint (2.0 x 4.75 km2 at the center of the Field of Regard) to represent the “true” state of the atmosphere as input into the “fast” proxy methodology. The methodology uses the optimal estimation and lookup table (LUT)-based radiative transfer model [GEOCAPE Radiative Transfer Tool based on the Vector Linearized Discrete Ordinate Radiative Transfer (VLIDORT) model (Spurr, 2006)] simulations founded on the linear retrieval approach (Rodgers, 2000). LUTs consist of top-of-atmosphere radiances and Jacobians simulated every 0.2 nm from 292 – 340 nm and 540 – 650 nm at a Gaussian of 0.6 Full Width at Half Maximum (FWHM) spectral resolution, matching the TEMPO instrument design. Surface and cloud layers are assumed as a Lambertian surface for incoming radiation. Ozone a priori and its covariance error is based on a tropopause-based climatology formed from ozonesondes from 1983 through 2008 (Bak et al., 2013) and surface albedo is from Ozone Monitoring Instrument (OMI) climatology in the ultraviolet and SCIAMACHY climatology in the visible. Finally, spatial co-adding of 4 pixels is performed to increase the signal-to-noise ratio and reduce the noise level in the O3 profile product. The final O3 profile product is packaged in netCDF-4/HDF5 format as planned for the operational TEMPO mission with a spatial resolution of 8.0 km x 4.75 km.     Permission is needed for data access.	proprietary
+TEMPO_O3PROF_L2_V01	TEMPO ozone profile V01	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724049185-LARC_CLOUD.umm_json	Ozone profile Level 2 files provide ozone profile information at a coarser spatial resolution than the native TEMPO resolution by coadding 4 across-track pixels in the North-South direction, ~40 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, a priori ozone profile and a prior error, total, stratospheric, and tropospheric ozone columns, other retrieved auxiliary parameters, random-noise and total retrieval errors for all of the retrieved quantities, the retrieval averaging kernels for the ozone profile, and the random-noise retrieval error covariance matrix for ozone, and several retrieval quality flags. The retrieval is based on spectral fitting of TEMPO radiances in both UV and visible bands using the iterative optimal estimation technique with a priori and measurement error constraints. For further details, please refer to the ATBD.	proprietary
+TEMPO_O3PROF_L2_V02	TEMPO ozone profile V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842851537-LARC_CLOUD.umm_json	Ozone profile Level 2 files provide ozone profile information at a coarser spatial resolution than the native TEMPO resolution by coadding 4 across-track pixels in the North-South direction, ~40 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, a priori ozone profile and a prior error, total, stratospheric, and tropospheric ozone columns, other retrieved auxiliary parameters, random-noise and total retrieval errors for all of the retrieved quantities, the retrieval averaging kernels for the ozone profile, and the random-noise retrieval error covariance matrix for ozone, and several retrieval quality flags. The retrieval is based on spectral fitting of TEMPO radiances in both UV and visible bands using the iterative optimal estimation technique with a priori and measurement error constraints. For further details, please refer to the ATBD.	proprietary
+TEMPO_O3PROF_L2_V03	TEMPO ozone profile V03 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930765147-LARC_CLOUD.umm_json	Ozone profile Level 2 files provide ozone profile information at a coarser spatial resolution than the native TEMPO resolution by coadding 4 across-track pixels in the North-South direction, ~40 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, a priori ozone profile and a prior error, total, stratospheric, and tropospheric ozone columns, other retrieved auxiliary parameters, random-noise and total retrieval errors for all of the retrieved quantities, the retrieval averaging kernels for the ozone profile, and the random-noise retrieval error covariance matrix for ozone, and several retrieval quality flags. The retrieval is based on spectral fitting of TEMPO radiances in both UV and visible bands using the iterative optimal estimation technique with a priori and measurement error constraints. For further details, please refer to the ATBD.	proprietary
+TEMPO_O3PROF_L3_V01	TEMPO gridded ozone profile V01	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724036709-LARC_CLOUD.umm_json	Ozone profile Level 3 files provide ozone profile information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, total, stratospheric, and tropospheric ozone columns, and their random-noise and total retrieval errors, a priori ozone profile and a prior error, effective cloud fraction and effective cloud top pressure. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_O3PROF_L3_V02	TEMPO gridded ozone profile V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842851798-LARC_CLOUD.umm_json	Ozone profile Level 3 files provide ozone profile information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, total, stratospheric, and tropospheric ozone columns, and their random-noise and total retrieval errors, a priori ozone profile and a prior error, effective cloud fraction and effective cloud top pressure. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_O3PROF_L3_V03	TEMPO gridded ozone profile V03 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930766006-LARC_CLOUD.umm_json	Ozone profile Level 3 files provide ozone profile information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on ozone partial columns at 24 layers with the last layer 0-2 km above the surface, total, stratospheric, and tropospheric ozone columns, and their random-noise and total retrieval errors, a priori ozone profile and a prior error, effective cloud fraction and effective cloud top pressure. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_O3TOT_L2_V01	TEMPO ozone total column V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724046381-LARC_CLOUD.umm_json	Total ozone Level 2 files provide ozone information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, effective cloud fraction, effective cloud pressure, radiative cloud fraction, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The retrieval is based on the OMI TOMS V8.5 algorithm adapted for TEMPO. For further details, please refer to the ATBD.	proprietary
+TEMPO_O3TOT_L2_V02	TEMPO ozone total column V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842849465-LARC_CLOUD.umm_json	Total ozone Level 2 files provide ozone information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The retrieval is based on the OMI TOMS V8.5 algorithm adapted for TEMPO. For further details, please refer to the ATBD.	proprietary
 TEMPO_O3TOT_L2_V03	TEMPO ozone total column V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930726639-LARC_CLOUD.umm_json	Total ozone Level 2 files provide ozone information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, effective cloud fraction, effective cloud pressure, radiative cloud fraction, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The retrieval is based on the OMI TOMS V8.5 algorithm adapted for TEMPO.	proprietary
+TEMPO_O3TOT_L3_V01	TEMPO gridded ozone total column V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724037749-LARC_CLOUD.umm_json	Total ozone Level 3 files provide ozone information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including effective cloud fraction, effective cloud pressure, radiative cloud fraction, SO2 index, and terrain pressure. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_O3TOT_L3_V02	TEMPO gridded ozone total column V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842852554-LARC_CLOUD.umm_json	Total ozone Level 3 files provide ozone information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including cloud fraction, cloud pressure, radiative cloud fraction, SO2 index, and terrain pressure. The re-gridding algorithm uses an area-weighted approach.	proprietary
 TEMPO_O3TOT_L3_V03	TEMPO gridded ozone total column V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930764281-LARC_CLOUD.umm_json	Total ozone Level 3 files provide ozone information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including effective cloud fraction, effective cloud pressure, radiative cloud fraction, SO2 index, and terrain pressure. The re-gridding algorithm uses an area-weighted approach.	proprietary
+TEMPO_RADT_L1_V01	TEMPO geolocated Earth radiances twilight V01	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2832249322-LARC_CLOUD.umm_json	Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details.	proprietary
+TEMPO_RADT_L1_V02	TEMPO geolocated Earth radiances twilight V02	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842861966-LARC_CLOUD.umm_json	Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details.	proprietary
 TEMPO_RADT_L1_V03	TEMPO geolocated Earth radiances twilight V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930766795-LARC_CLOUD.umm_json	Level 1 twilight radiance files provide radiance measured during twilight hours to capture city lights at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically calibrated and geolocated radiances for the UV and visible bands, corresponding noise, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes image processing steps to produce radiometrically calibrated radiances with nominal navigation.	proprietary
+TEMPO_RAD_L1_V01	TEMPO geolocated Earth radiances V01 (UNVALIDATED)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724057249-LARC_CLOUD.umm_json	Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Image Navigation and Registration (INR) using GOES-R data, and (3) post INR processing geolocation tagging. Please refer to the ATBD for details.	proprietary
 TEMPO_RAD_L1_V02	TEMPO geolocated Earth radiances V02 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842845562-LARC_CLOUD.umm_json	Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details.  These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters.  Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status.  The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov.	proprietary
 TEMPO_RAD_L1_V03	TEMPO geolocated Earth radiances V03 (BETA)	LARC_CLOUD STAC Catalog	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930759336-LARC_CLOUD.umm_json	Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging.	proprietary
 TEMR_RSFCE_Not provided	Air Temperature Time Series	SCIOPS STAC Catalog	1883-01-01	1987-12-31	25, 23.21, -175, 71	https://cmr.earthdata.nasa.gov/search/concepts/C1214608675-SCIOPS.umm_json	Hydrometeorological data on the conditions of the environment are       held by the Russian State Fund of data. This dataset was created by       Computer Centre North Administration for hydrometeorology in 1990 and       containes air temperature from 68 stations in Arhangelsk, Vologda       regions and Komi ASSR in Russia. Data is currently stored on magnetic       tape (800 bit/inch).	proprietary
@@ -13350,158 +13685,311 @@ TIROS4L1FMRT_001	TIROS-4 Medium-Resolution Scanning Radiometer Level 1 Final Met
 TIROS4L1ORR_001	TIROS-4 Low-Resolution Omnidirectional Radiometer Level 1 Radiance Data V001 (TIROS4L1ORR) at GES DISC	GES_DISC STAC Catalog	1962-02-08	1962-06-10	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C2170993234-GES_DISC.umm_json	The TIROS-4 Low-Resolution Omnidirectional Radiometer Level 1 Radiance Data product contains the longwave radiation values in Langleys/min derived from the black and white sensors. The experiment consisted of two sets of bolometers in the form of hollow aluminum hemispheres, mounted on opposite sides of the spacecraft, and whose optical axes were parallel to the spin axis. The bolometers were thermally isolated from but in close proximity to reflecting mirrors so that the hemispheres behaved like isolated spheres in space. The experiment was designed to measure the amount of solar energy absorbed, reflected, and emitted by the earth and its atmosphere in order to calculate the Earth's radiation budget. The data were originally written on IBM 7094 machines, and these have been recovered from magnetic tapes, referred to as the Omnidirectional Radiometer Radiance (ORR) tapes. The data are archived in their text format.  The TIROS-4 satellite was successfully launched on February 8, 1962. The Low-Resolution Omnidirectional Radiometer experiment returned data for about five months. A previous instrument flew on TIROS-3 and a follow-on instrument was flown on TIROS-7, while a similar instrument flew on Explorer-7.  The Principal Investigator for these data was Verner E. Suomi from the University of Wisconsin. This product was previously available from the NSSDC with the identifier ESAD-00152 (old id 62-002A-01B).	proprietary
 TIROS4L1ORT_001	TIROS-4 Low-Resolution Omnidirectional Radiometer Level 1 Temperature Data V001 (TIROS4L1ORT) at GES DISC	GES_DISC STAC Catalog	1962-02-08	1962-06-28	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C2152905392-GES_DISC.umm_json	The TIROS-4 Low-Resolution Omnidirectional Radiometer Level 1 Temperature Data product contains the black and white sensor temperature values in degrees Celsius. The experiment consisted of two sets of bolometers in the form of hollow aluminum hemispheres, mounted on opposite sides of the spacecraft, and whose optical axes were parallel to the spin axis. The bolometers were thermally isolated from but in close proximity to reflecting mirrors so that the hemispheres behaved like isolated spheres in space. The experiment was designed to measure the amount of solar energy absorbed, reflected, and emitted by the earth and its atmosphere in order to calculate the Earth's radiation budget. The data were originally written on IBM 7094 machines, and these have been recovered from magnetic tapes, referred to as the Omnidirectional Radiometer Temperature (ORT) tapes. The data are archived in their text format.  The TIROS-4 satellite was successfully launched on February 8, 1962. The Low-Resolution Omnidirectional Radiometer experiment returned data for about five months. A previous instrument flew on TIROS-3 and a follow-on instrument was flown on TIROS-7, while a similar instrument flew on Explorer-7.  The Principal Investigator for these data was Verner E. Suomi from the University of Wisconsin. This product was previously available from the NSSDC with the identifier ESAD-00252 (old id 62-002A-01A).	proprietary
 TIROS7L1FMRT_001	TIROS-7 Medium-Resolution Scanning Radiometer Level 1 Final Meteorological Radiation Data V001 (TIROS7L1FMRT) at GES DISC	GES_DISC STAC Catalog	1963-06-19	1965-06-19	-180, -74, 180, 74	https://cmr.earthdata.nasa.gov/search/concepts/C2020911863-GES_DISC.umm_json	TIROS-7 Medium-Resolution Scanning Radiometer Level 1 Final Meteorological Radiation Data (FMRT) product contains radiances expressed in five infrared/visible wavelength regions, expressed in either equivalent blackbody temperature (IR channels 1,2 and 4) or effective radiant emmitance (visible channels 3 and 5). The data will trace an elliptical, parabolic, or hyperbolic pattern on the ground due to the rotating of the instrument about the satellite spin axis. There is one orbit per file. The data were originally written on IBM 7094 machines, and these have been recovered from magnetic tapes, referred to as the Final Meteorological Radiation Tapes (FMRT). The data are archived in their original IBM 36-bit word proprietary format, also referred to as a binary TAP file.  The TIROS-7 satellite was successfully launched on June 19, 1963. The Medium-Resolution Scanning Radiometer experiment successfully returned data for two years, continuing the measurements made by its predecessors flown on TIROS-2, -3 and -4. The instrument is a five channel radiometer with a 55 km footprint at nadir with the following characteristics:  Channel 1: 14.8 to 15.5 microns - carbon dioxide absorption Channel 2: 8.0 to 12.0 microns - atmospheric window Channel 3: 0.2 to 6.0 microns - reflected solar radiation Channel 4: 8.0 to 30 microns - thermal radiation from the earth and atmosphere Channel 5: 0.55 to 0.75 microns - response to the TV system  The Principal Investigator for these data was Joseph D. Barksdale from NASA Goddard Space Flight Center. This product was previously available from the NSSDC with the identifier ESAD-00217 (old ID 63-024A-02A).	proprietary
+TL1BL_004	TES/Aura L1B Spectra Limb V004	LARC_CLOUD STAC Catalog	2004-08-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215606825-LARC_CLOUD.umm_json	TES Level 1B Spectra data contain radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data are also provided. Each L1B data file contains data from a single TES orbit starting from the South Pole Apex.A Nadir sequence with in the TES Global Survey is two low resolution scans overthe same ground locations. The Nadir standard product consists of four files,where each file is composed of the Global Survey Nadir observations from one offour focal planes for a single orbit, i.e. 72 orbit sequences. The GlobalSurvey Nadir observations currently only use a single set of filter mix.A Limb sequence within the TES Global Survey is three high-resolutionscans over the same limb locations. The Limb standard product willconsist of four files, where each file will be composed of the GlobalSurvey Limb observations from one of four focal planes for a singleorbit, i.e. 72 orbit sequences. The Global Survey Limb observationsuse a repeating sequence of filter wheel positions.Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/specialobservations/ for details.Details of the format of this product can be found in the TESData Products Specifications (DPS) which is available from the LaRC ASDC site:https://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
 TL1BL_5	TES/Aura L1B Spectra Limb V005	LARC STAC Catalog	2004-08-22	2005-04-10	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1451577449-LARC.umm_json	TL1BL_5 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Limb Version 5 data product. TES Level 1B Spectra data contaisn radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided with this data product.   TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Each L1B data file contained data from a single TES orbit starting from the South Pole Apex. A Nadir sequence within the TES Global Survey was two low resolution scans over the same ground locations, thus pointing directly to the surface of the earth. The Nadir standard product consisted of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. The Global Survey Limb observations, however, used a repeating sequence of filter wheel positions and were pointed at various off-nadir angles into the atmosphere. Special Observations were only scheduled during the 9 or 10 orbit gaps in the Global Surveys and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.	proprietary
+TL1BL_5	TES/Aura L1B Spectra Limb V005	LARC_CLOUD STAC Catalog	2004-08-22	2005-04-10	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215606831-LARC_CLOUD.umm_json	TL1BL_5 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Limb Version 5 data product. TES Level 1B Spectra data contaisn radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided with this data product.   TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Each L1B data file contained data from a single TES orbit starting from the South Pole Apex. A Nadir sequence within the TES Global Survey was two low resolution scans over the same ground locations, thus pointing directly to the surface of the earth. The Nadir standard product consisted of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. The Global Survey Limb observations, however, used a repeating sequence of filter wheel positions and were pointed at various off-nadir angles into the atmosphere. Special Observations were only scheduled during the 9 or 10 orbit gaps in the Global Surveys and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.	proprietary
 TL1BN_6	TES/Aura L1B Spectra Nadir V006	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1397342592-LARC.umm_json	TL1BN_6 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Nadir Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 1B Spectra data contains radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided. Each L1B data file contains spectra data composed of the Global Survey Nadir observations formed a single TES orbit starting from the South Pole Apex.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.	proprietary
+TL1BN_6	TES/Aura L1B Spectra Nadir V006	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215606854-LARC_CLOUD.umm_json	TL1BN_6 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Nadir Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 1B Spectra data contains radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided. Each L1B data file contains spectra data composed of the Global Survey Nadir observations formed a single TES orbit starting from the South Pole Apex.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.	proprietary
+TL1BSOL_6	TES/Aura L1B Spectra Special Observation Low Resolution V006	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215606859-LARC_CLOUD.umm_json	TL1BSOL_6 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Special Observation Low Resolution Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 1B Spectra data contains radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided. Each L1B data file contains spectra data composed of the Global Survey Nadir observations from a single TES orbit starting from the South Pole Apex.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The Global Survey Limb observations use a repeating sequence of filter wheel positions. Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.	proprietary
 TL1BSOL_6	TES/Aura L1B Spectra Special Observation Low Resolution V006	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1386637578-LARC.umm_json	TL1BSOL_6 is the Tropospheric Emission Spectrometer (TES)/Aura L1B Spectra Special Observation Low Resolution Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 1B Spectra data contains radiometric calibrated spectral radiances and their corresponding noise equivalent spectral radiances (NESR). The geolocation, quality and some engineering data were also provided. Each L1B data file contains spectra data composed of the Global Survey Nadir observations from a single TES orbit starting from the South Pole Apex.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The Global Survey Limb observations use a repeating sequence of filter wheel positions. Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.	proprietary
+TL2ANCS_7	TES/Aura L2 Ancillary Special Observation Product V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215606987-LARC_CLOUD.umm_json	TL2ANCS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Special Observation Product Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2ANCS_7	TES/Aura L2 Ancillary Special Observation Product V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182634-LARC.umm_json	TL2ANCS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Special Observation Product Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2ANCS_8	TES/Aura L2 Ancillary Special Observation Product V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619005140-LARC.umm_json	TL2ANCS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Special Observation Product Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2ANCS_8	TES/Aura L2 Ancillary Special Observation Product V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607058-LARC_CLOUD.umm_json	TL2ANCS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Special Observation Product Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2ANC_7	TES/Aura L2 Ancillary Product V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215606876-LARC_CLOUD.umm_json	TL2ANC_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Version 7 product . TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. For this product, the geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run.   A global survey consisted of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.   Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. The organization of data within the Swath object was based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could have contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC).	proprietary
 TL2ANC_7	TES/Aura L2 Ancillary Product V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182629-LARC.umm_json	TL2ANC_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Version 7 product . TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. For this product, the geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run.   A global survey consisted of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.   Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. The organization of data within the Swath object was based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could have contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC).	proprietary
 TL2ANC_8	TES/Aura L2 Ancillary Product V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619005021-LARC.umm_json	TL2ANC_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Version 8 product . TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. For this product, the geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run.   A global survey consisted of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.   Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. The organization of data within the Swath object was based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could have contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC).	proprietary
+TL2ANC_8	TES/Aura L2 Ancillary Product V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215606908-LARC_CLOUD.umm_json	TL2ANC_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ancillary Version 8 product . TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. For this product, the geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run.   A global survey consisted of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.   Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. The organization of data within the Swath object was based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could have contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC).	proprietary
+TL2ATMLN_006	TES/Aura L2 Atmospheric Temperature Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607141-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2ATMLN_006	TES/Aura L2 Atmospheric Temperature Lite Nadir V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000160-LARC.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
+TL2ATMLN_7	TES/Aura L2 Atmospheric Temperature Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607202-LARC_CLOUD.umm_json	TL2ATMLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperature Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2ATMLN_7	TES/Aura L2 Atmospheric Temperature Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585622-LARC.umm_json	TL2ATMLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperature Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2ATMTL_006	TES/Aura L2 Atmospheric Temperatures Limb V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856297-LARC.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
+TL2ATMTL_006	TES/Aura L2 Atmospheric Temperatures Limb V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607254-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2ATMTN_7	TES/Aura L2 Atmospheric Temperatures Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182624-LARC.umm_json	TL2ATMTN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Limb sequence within the TES Global Survey involved three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2ATMTN_7	TES/Aura L2 Atmospheric Temperatures Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607312-LARC_CLOUD.umm_json	TL2ATMTN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Limb sequence within the TES Global Survey involved three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2ATMTN_8	TES/Aura L2 Atmospheric Temperatures Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1617143451-LARC.umm_json	TL2ATMTN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Limb sequence within the TES Global Survey involved three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2ATMTN_8	TES/Aura L2 Atmospheric Temperatures Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607408-LARC_CLOUD.umm_json	TL2ATMTN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Limb sequence within the TES Global Survey involved three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CH4LN_006	TES/Aura L2 Methane Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607484-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2CH4LN_006	TES/Aura L2 Methane Lite Nadir V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000320-LARC.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2CH4LN_7	TES/Aura L2 Methane Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585807-LARC.umm_json	TL2CH4LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that was common to both nadir and limb files.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CH4LN_7	TES/Aura L2 Methane Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607563-LARC_CLOUD.umm_json	TL2CH4LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that was common to both nadir and limb files.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CH4NS_7	TES/Aura L2 Methane Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607698-LARC_CLOUD.umm_json	TL2CH4NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CH4NS_7	TES/Aura L2 Methane Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182632-LARC.umm_json	TL2CH4NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CH4NS_8	TES/Aura L2 Methane Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607703-LARC_CLOUD.umm_json	TL2CH4NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CH4NS_8	TES/Aura L2 Methane Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619005680-LARC.umm_json	TL2CH4NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CH4N_7	TES/Aura L2 Methane Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182627-LARC.umm_json	TL2CH4N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CH4N_7	TES/Aura L2 Methane Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607649-LARC_CLOUD.umm_json	TL2CH4N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CH4N_8	TES/Aura L2 Methane Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619005845-LARC.umm_json	TL2CH4N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CH4N_8	TES/Aura L2 Methane Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607680-LARC_CLOUD.umm_json	TL2CH4N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methane Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CO2LN_006	TES/Aura L2 Carbon Dioxide Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607772-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2CO2LN_006	TES/Aura L2 Carbon Dioxide Lite Nadir V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000260-LARC.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2CO2LN_7	TES/Aura L2 Carbon Dioxide Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585871-LARC.umm_json	TL2CO2LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CO2LN_7	TES/Aura L2 Carbon Dioxide Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607839-LARC_CLOUD.umm_json	TL2CO2LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CO2NS_7	TES/Aura L2 Carbon Dioxide Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-21	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608309-LARC_CLOUD.umm_json	TL2CO2NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Special Observation Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CO2NS_7	TES/Aura L2 Carbon Dioxide Nadir Special Observation V007	LARC STAC Catalog	2004-09-21	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182623-LARC.umm_json	TL2CO2NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Special Observation Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CO2NS_8	TES/Aura L2 Carbon Dioxide Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-21	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608421-LARC_CLOUD.umm_json	TL2CO2NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Special Observation Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CO2NS_8	TES/Aura L2 Carbon Dioxide Nadir Special Observation V008	LARC STAC Catalog	2004-09-21	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619005679-LARC.umm_json	TL2CO2NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Special Observation Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CO2N_7	TES/Aura L2 Carbon Dioxide Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182615-LARC.umm_json	TL2CO2N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CO2N_7	TES/Aura L2 Carbon Dioxide Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215607983-LARC_CLOUD.umm_json	TL2CO2N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CO2N_8	TES/Aura L2 Carbon Dioxide Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1616452238-LARC.umm_json	TL2CO2N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CO2N_8	TES/Aura L2 Carbon Dioxide Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608147-LARC_CLOUD.umm_json	TL2CO2N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Dioxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2COLN_006	TES/Aura L2 Carbon Monoxide Lite Nadir V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000340-LARC.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
+TL2COLN_006	TES/Aura L2 Carbon Monoxide Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608540-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2COLN_7	TES/Aura L2 Carbon Monoxide Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585699-LARC.umm_json	TL2COLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2COLN_7	TES/Aura L2 Carbon Monoxide Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608588-LARC_CLOUD.umm_json	TL2COLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CONS_7	TES/Aura L2 Carbon Monoxide Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182631-LARC.umm_json	TL2CONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CONS_7	TES/Aura L2 Carbon Monoxide Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608710-LARC_CLOUD.umm_json	TL2CONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CONS_8	TES/Aura L2 Carbon Monoxide Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618043018-LARC.umm_json	TL2CONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g. surface characteristics for nadir observations) were also provided. Level 2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CONS_8	TES/Aura L2 Carbon Monoxide Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608740-LARC_CLOUD.umm_json	TL2CONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g. surface characteristics for nadir observations) were also provided. Level 2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CON_7	TES/Aura L2 Carbon Monoxide Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2017-10-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608635-LARC_CLOUD.umm_json	TL2CON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CON_7	TES/Aura L2 Carbon Monoxide Nadir V007	LARC STAC Catalog	2004-08-22	2017-10-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182556-LARC.umm_json	TL2CON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2CON_8	TES/Aura L2 Carbon Monoxide Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619907518-LARC.umm_json	TL2CON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2CON_8	TES/Aura L2 Carbon Monoxide Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608680-LARC_CLOUD.umm_json	TL2CON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbon Monoxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2FORLN_006	TES/Aura L2 Formic Acid Lite Nadir V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000362-LARC.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
+TL2FORLN_006	TES/Aura L2 Formic Acid Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608753-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
+TL2FORLN_7	TES/Aura L2 Formic Acid Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608759-LARC_CLOUD.umm_json	TL2FORLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2FORLN_7	TES/Aura L2 Formic Acid Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585734-LARC.umm_json	TL2FORLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2FORNS_7	TES/Aura L2 Formic Acid Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608910-LARC_CLOUD.umm_json	TL2FORNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2FORNS_7	TES/Aura L2 Formic Acid Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182628-LARC.umm_json	TL2FORNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2FORNS_8	TES/Aura L2 Formic Acid Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609035-LARC_CLOUD.umm_json	TL2FORNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2FORNS_8	TES/Aura L2 Formic Acid Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619907537-LARC.umm_json	TL2FORNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2FORN_7	TES/Aura L2 Formic Acid Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608771-LARC_CLOUD.umm_json	TL2FORN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2FORN_7	TES/Aura L2 Formic Acid Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182555-LARC.umm_json	TL2FORN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2FORN_8	TES/Aura L2 Formic Acid Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215608825-LARC_CLOUD.umm_json	TL2FORN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Version 8 data product.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2FORN_8	TES/Aura L2 Formic Acid Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1617143749-LARC.umm_json	TL2FORN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Formic Acid Nadir Version 8 data product.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2H2OLN_6	TES/Aura L2 H2O Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-08-31	2015-09-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609233-LARC_CLOUD.umm_json	TL2H2OLN_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 H2O Lite Nadir Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and some other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters.  L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.  A Nadir sequence with in the TES Global Survey is two low resolution scans over the same ground locations. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions.  Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/special observations/ for details.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.  Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 87 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 88 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2H2OLN_6	TES/Aura L2 H2O Lite Nadir V006	LARC STAC Catalog	2004-08-31	2015-09-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-LARC.umm_json	TL2H2OLN_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 H2O Lite Nadir Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and some other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters.  L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.  A Nadir sequence with in the TES Global Survey is two low resolution scans over the same ground locations. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions.  Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/special observations/ for details.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.  Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 87 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 88 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2H2OLN_7	TES/Aura L2 Water Vapor Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609406-LARC_CLOUD.umm_json	TL2H2OLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2H2OLN_7	TES/Aura L2 Water Vapor Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585775-LARC.umm_json	TL2H2OLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2H2OLS_006	TES/Aura L2 H2O Limb Special Observation V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609534-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2H2OLS_006	TES/Aura L2 H2O Limb Special Observation V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856312-LARC.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
+TL2H2OL_006	TES/Aura L2 H2O Limb V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609144-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2H2OL_006	TES/Aura L2 H2O Limb V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856311-LARC.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
+TL2H2ONS_7	TES/Aura L2 Water Vapor Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609809-LARC_CLOUD.umm_json	TL2H2ONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2H2ONS_7	TES/Aura L2 Water Vapor Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182626-LARC.umm_json	TL2H2ONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2H2ONS_8	TES/Aura L2 Water Vapor Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609856-LARC_CLOUD.umm_json	TL2H2ONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Special Observation Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2H2ONS_8	TES/Aura L2 Water Vapor Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618043709-LARC.umm_json	TL2H2ONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Special Observation Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2H2ON_7	TES/Aura L2 Water Vapor Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609632-LARC_CLOUD.umm_json	TL2H2ON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2H2ON_7	TES/Aura L2 Water Vapor Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182620-LARC.umm_json	TL2H2ON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2H2ON_8	TES/Aura L2 Water Vapor Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609728-LARC_CLOUD.umm_json	TL2H2ON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2H2ON_8	TES/Aura L2 Water Vapor Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1617143746-LARC.umm_json	TL2H2ON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Water Vapor Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2HCNNS_8	TES/Aura L2 Hydrogen Cyanide Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619907953-LARC.umm_json	TL2HCNNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Hydrogen Cyanide Nadir Special Observation Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2HCNNS_8	TES/Aura L2 Hydrogen Cyanide Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610041-LARC_CLOUD.umm_json	TL2HCNNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Hydrogen Cyanide Nadir Special Observation Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2HCNN_8	TES/Aura L2 Hydrogen Cyanide Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1617143747-LARC.umm_json	TL2HCNN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Hydrogen Cyanide Nadir Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported. The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/TES/DPS To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2HCNN_8	TES/Aura L2 Hydrogen Cyanide Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215609933-LARC_CLOUD.umm_json	TL2HCNN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Hydrogen Cyanide Nadir Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported. The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/TES/DPS To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2HDOLN_6	TES/Aura L2 HDO Lite Nadir V006	LARC STAC Catalog	2004-08-31	2015-09-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000361-LARC.umm_json	TL2HDOLN_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 HDO Lite Nadir Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and some other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.  A Nadir sequence with in the TES Global Survey is two low resolution scans over the same ground locations. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions.  Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.  Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 87 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 88 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2HDOLN_6	TES/Aura L2 HDO Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-08-31	2015-09-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610195-LARC_CLOUD.umm_json	TL2HDOLN_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 HDO Lite Nadir Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and some other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files.  A Nadir sequence with in the TES Global Survey is two low resolution scans over the same ground locations. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions.  Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement.  A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities.  Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 87 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 88 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2HDOLN_7	TES/Aura L2 Deuterium Oxide Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585909-LARC.umm_json	TL2HDOLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2HDOLN_7	TES/Aura L2 Deuterium Oxide Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610255-LARC_CLOUD.umm_json	TL2HDOLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2HDOLS_006	TES/Aura L2 HDO Limb Special Observation V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856316-LARC.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
+TL2HDOLS_006	TES/Aura L2 HDO Limb Special Observation V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610327-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2HDOL_006	TES/Aura L2 HDO Limb V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856315-LARC.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
+TL2HDOL_006	TES/Aura L2 HDO Limb V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610111-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2HDONS_7	TES/Aura L2 Deuterium Oxide Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182621-LARC.umm_json	TL2HDONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2HDONS_7	TES/Aura L2 Deuterium Oxide Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610541-LARC_CLOUD.umm_json	TL2HDONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2HDONS_8	TES/Aura L2 Deuterium Oxide Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618043941-LARC.umm_json	TL2HDONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2HDONS_8	TES/Aura L2 Deuterium Oxide Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610605-LARC_CLOUD.umm_json	TL2HDONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2HDON_7	TES/Aura L2 Deuterium Oxide Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182625-LARC.umm_json	TL2HDON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2HDON_7	TES/Aura L2 Deuterium Oxide Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610411-LARC_CLOUD.umm_json	TL2HDON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2HDON_8	TES/Aura L2 Deuterium Oxide Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1617143750-LARC.umm_json	TL2HDON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2HDON_8	TES/Aura L2 Deuterium Oxide Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610473-LARC_CLOUD.umm_json	TL2HDON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Deuterium Oxide Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2HNO3L_006	TES/Aura L2 HNO3 Limb V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610646-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2HNO3L_006	TES/Aura L2 HNO3 Limb V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856319-LARC.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2HNO3S_006	TES/Aura L2 HNO3 Limb Special Observation V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856320-LARC.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
+TL2HNO3S_006	TES/Aura L2 HNO3 Limb Special Observation V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610675-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2IRKNS_7	TES/Aura L2 Instantaneous Radiative Kernel Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182614-LARC.umm_json	TL2IRKNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Instantaneous Radiative Kernel Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, it was possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this was a direct measure of the radiative role of ozone, which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2IRKNS_7	TES/Aura L2 Instantaneous Radiative Kernel Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610750-LARC_CLOUD.umm_json	TL2IRKNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Instantaneous Radiative Kernel Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, it was possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this was a direct measure of the radiative role of ozone, which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2IRKNS_8	TES/Aura L2 Instantaneous Radiative Kernel Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1620804451-LARC.umm_json	TL2IRKNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Instantaneous Radiative Kernel Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, it was possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this was a direct measure of the radiative role of ozone, which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2IRKNS_8	TES/Aura L2 Instantaneous Radiative Kernel Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610769-LARC_CLOUD.umm_json	TL2IRKNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Instantaneous Radiative Kernel Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, it was possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this was a direct measure of the radiative role of ozone, which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2IRKN_7	TES/Aura L2 Instantaneous Radiative Kernel Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182554-LARC.umm_json	TL2IRKN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, made it possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this is a direct measure of the radiative role of ozone which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2IRKN_7	TES/Aura L2 Instantaneous Radiative Kernel Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610700-LARC_CLOUD.umm_json	TL2IRKN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, made it possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this is a direct measure of the radiative role of ozone which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2IRKN_8	TES/Aura L2 Instantaneous Radiative Kernel Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619907954-LARC.umm_json	TL2IRKN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, made it possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this is a direct measure of the radiative role of ozone which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2IRKN_8	TES/Aura L2 Instantaneous Radiative Kernel Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610730-LARC_CLOUD.umm_json	TL2IRKN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. Using TES radiances, Jacobians and ozone profiles with hemispherical integration, made it possible to compute the TOA (top-of-atmosphere) flux from the infrared ozone band (in W/m2), instantaneous radiative kernels (IRK) (in W/m2/ppb), and logarithmic instantaneous radiative forcing kernels (LIRK) (in W/m2) for ozone. The IRK provided unique information for questions of chemistry-climate coupling since this is a direct measure of the radiative role of ozone which explicitly accounted for more dominant radiative processes such as clouds and water vapor. These products can be compared to climate model predictions of the same quantities.  TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2MTLLN_6	TES/Aura L2 Methanol Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610777-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2MTLLN_6	TES/Aura L2 Methanol Lite Nadir V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000161-LARC.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2MTLLN_7	TES/Aura L2 Methanol Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585846-LARC.umm_json	TL2MTLLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Lite Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The TES Lite products were intended to simplify TES data usage including data/model and data/data comparisons. This product can be used for science analysis as each data product is fully characterized. The TES Lite products were also meant to facilitate use of TES data by end users by (1) aggregating product results by month (no averaging is applied), (2) reducing data dimensionality to the retrieved pressure levels, which results in a minimal reduction of information but reduces data sizes by 1/3 to 1/10, (3) applying known corrections quantified through validation campaigns (4) combining data from ancillary files and multiple TES product files that are needed for science analysis (particularly for CH4 and HDO), and (5) removing fields that are not typically used. For example, the HDO product also includes the H2O product; it contains the recommended bias correction for HDO, results are mapped to 18 pressures, and the averaging kernel and error covariances are packed together from the H2O, HDO, and ancillary individual product files into full matrices for easier use by modelers and for science analysis. The products include the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid to support cross-comparison between products and models. NH3 and CH4 contain Representative Tropospheric volume mixing ratio (RTVMR) fields (Payne et al. , 2009) that map the full profile to levels that are most representative of the atmosphere based on the altitude dependent sensitivity of the estimate.  TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2MTLLN_7	TES/Aura L2 Methanol Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610787-LARC_CLOUD.umm_json	TL2MTLLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Lite Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The TES Lite products were intended to simplify TES data usage including data/model and data/data comparisons. This product can be used for science analysis as each data product is fully characterized. The TES Lite products were also meant to facilitate use of TES data by end users by (1) aggregating product results by month (no averaging is applied), (2) reducing data dimensionality to the retrieved pressure levels, which results in a minimal reduction of information but reduces data sizes by 1/3 to 1/10, (3) applying known corrections quantified through validation campaigns (4) combining data from ancillary files and multiple TES product files that are needed for science analysis (particularly for CH4 and HDO), and (5) removing fields that are not typically used. For example, the HDO product also includes the H2O product; it contains the recommended bias correction for HDO, results are mapped to 18 pressures, and the averaging kernel and error covariances are packed together from the H2O, HDO, and ancillary individual product files into full matrices for easier use by modelers and for science analysis. The products include the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid to support cross-comparison between products and models. NH3 and CH4 contain Representative Tropospheric volume mixing ratio (RTVMR) fields (Payne et al. , 2009) that map the full profile to levels that are most representative of the atmosphere based on the altitude dependent sensitivity of the estimate.  TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2MTLNS_7	TES/Aura L2 Methanol Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182613-LARC.umm_json	TL2MTLNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2MTLNS_7	TES/Aura L2 Methanol Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610815-LARC_CLOUD.umm_json	TL2MTLNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2MTLNS_8	TES/Aura L2 Methanol Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610822-LARC_CLOUD.umm_json	TL2MTLNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could have potentially contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2MTLNS_8	TES/Aura L2 Methanol Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618043435-LARC.umm_json	TL2MTLNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could have potentially contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2MTLN_7	TES/Aura L2 Methanol Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610806-LARC_CLOUD.umm_json	TL2MTLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that were common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2MTLN_7	TES/Aura L2 Methanol Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182611-LARC.umm_json	TL2MTLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that were common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2MTLN_8	TES/Aura L2 Methanol Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610810-LARC_CLOUD.umm_json	TL2MTLN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2MTLN_8	TES/Aura L2 Methanol Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619908214-LARC.umm_json	TL2MTLN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2N2ONS_7	TES/Aura L2 Nitrous Oxide Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182609-LARC.umm_json	TL2N2ONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2N2ONS_7	TES/Aura L2 Nitrous Oxide Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610936-LARC_CLOUD.umm_json	TL2N2ONS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Special Observation Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2N2ONS_8	TES/Aura L2 Nitrous Oxide Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618042985-LARC.umm_json	TL2N2ONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Special Observation Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TTES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2N2ONS_8	TES/Aura L2 Nitrous Oxide Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610974-LARC_CLOUD.umm_json	TL2N2ONS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Special Observation Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TTES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2N2ON_7	TES/Aura L2 Nitrous Oxide Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182622-LARC.umm_json	TL2N2ON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2N2ON_7	TES/Aura L2 Nitrous Oxide Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610834-LARC_CLOUD.umm_json	TL2N2ON_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2N2ON_8	TES/Aura L2 Nitrous Oxide Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1616452212-LARC.umm_json	TL2N2ON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Version 8 data product. It consists of information for one molecular species, Nitrous Oxide, for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2N2ON_8	TES/Aura L2 Nitrous Oxide Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215610863-LARC_CLOUD.umm_json	TL2N2ON_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Nitrous Oxide Nadir Version 8 data product. It consists of information for one molecular species, Nitrous Oxide, for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2NH3LN_006	TES/Aura L2 Ammonia Lite Nadir V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000360-LARC.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
+TL2NH3LN_006	TES/Aura L2 Ammonia Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611009-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2NH3LN_7	TES/Aura L2 Ammonia Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585658-LARC.umm_json	TL2NH3LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2NH3LN_7	TES/Aura L2 Ammonia Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611066-LARC_CLOUD.umm_json	TL2NH3LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Lite Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2NH3NS_7	TES/Aura L2 Ammonia Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182630-LARC.umm_json	TL2NH3NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2NH3NS_7	TES/Aura L2 Ammonia Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611413-LARC_CLOUD.umm_json	TL2NH3NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2NH3NS_8	TES/Aura L2 Ammonia Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611501-LARC_CLOUD.umm_json	TL2NH3NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2NH3NS_8	TES/Aura L2 Ammonia Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618263763-LARC.umm_json	TL2NH3NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2NH3N_7	TES/Aura L2 Ammonia Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611211-LARC_CLOUD.umm_json	TL2NH3N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2NH3N_7	TES/Aura L2 Ammonia Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182558-LARC.umm_json	TL2NH3N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2NH3N_8	TES/Aura L2 Ammonia Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611334-LARC_CLOUD.umm_json	TL2NH3N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could have potentially contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2NH3N_8	TES/Aura L2 Ammonia Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618263997-LARC.umm_json	TL2NH3N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ammonia Nadir Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could have potentially contained estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2NO2L_6	TES/Aura L2 NO2 Limb V006	LARC STAC Catalog	2004-08-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856327-LARC.umm_json	The TES Aura L2 NO2 data consist of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions. Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/specialobservations/ for details. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/tes/DPS To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2NO2S_6	TES/Aura L2 NO2 Limb Special Observation V006	LARC STAC Catalog	2004-08-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856328-LARC.umm_json	The TES Aura L2 NO2 data consist of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. Nadir and limb observations are in separate L2 files, and a single ancillary file is composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Limb sequence within the TES Global Survey is three high-resolution scans over the same limb locations. The Limb standard product will consist of four files, where each file will be composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations use a repeating sequence of filter wheel positions. Special Observations can only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and are conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depends on the science requirement. See http://tes.jpl.nasa.gov/instrument/specialobservations/ for details. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals are performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported. Each limb observation Limb 1, Limb 2 and Limb 3, are processed independently. Thus each limb standard product consists of three sets where each set consist of 1,152 observations. For TES, the swath object represents one of these sets. Thus each limb standard product consists of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3. The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/tes/DPS To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivities, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2O3LN_006	TES/Aura L2 Ozone Lite Nadir V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611634-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
 TL2O3LN_006	TES/Aura L2 Ozone Lite Nadir V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000380-LARC.umm_json	Atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid.	proprietary
+TL2O3LN_7	TES/Aura L2 Ozone Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611677-LARC_CLOUD.umm_json	TL2O3LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.    A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.     The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.    To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2O3LN_7	TES/Aura L2 Ozone Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607585593-LARC.umm_json	TL2O3LN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Lite Nadir Version 7 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.    A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.     The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.    To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2O3LS_6	TES/Aura L2 O3 Limb Special Observation V006	LARC_CLOUD STAC Catalog	2006-01-31	2006-05-20	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611735-LARC_CLOUD.umm_json	TL2O3LS_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 O3 Limb Special Observation Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2O3LS_6	TES/Aura L2 O3 Limb Special Observation V006	LARC STAC Catalog	2006-01-31	2006-05-20	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856330-LARC.umm_json	TL2O3LS_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 O3 Limb Special Observation Version 6 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2O3L_006	TES/Aura L2 O3 Limb V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611589-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2O3L_006	TES/Aura L2 O3 Limb V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856329-LARC.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2O3NS_7	TES/Aura L2 Ozone Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182633-LARC.umm_json	TL2O3NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations used a single set of filter mix. A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations were a repeating sequence of filter wheel positions.   Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation wa the input for retrievals of species volume mixing ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2O3NS_7	TES/Aura L2 Ozone Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611944-LARC_CLOUD.umm_json	TL2O3NS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consisted of four files, where each file was composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations used a single set of filter mix. A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consisted of four files, where each file was composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations were a repeating sequence of filter wheel positions.   Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed (1,152 nadir retrievals and 1,152 retrievals in time ordered sequence for each limb observation). Each observation wa the input for retrievals of species volume mixing ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2O3NS_8	TES/Aura L2 Ozone Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611998-LARC_CLOUD.umm_json	TL2O3NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2O3NS_8	TES/Aura L2 Ozone Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618264084-LARC.umm_json	TL2O3NS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2O3N_7	TES/Aura L2 Ozone Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611800-LARC_CLOUD.umm_json	TL2O3N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2O3N_7	TES/Aura L2 Ozone Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182557-LARC.umm_json	TL2O3N_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2O3N_8	TES/Aura L2 Ozone Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215611853-LARC_CLOUD.umm_json	TL2O3N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2O3N_8	TES/Aura L2 Ozone Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1617143748-LARC.umm_json	TL2O3N_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Ozone Nadir Version 8 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2OCSLN_7	TES/Aura L2 Carbonyl Sulfide Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612074-LARC_CLOUD.umm_json	TL2OCSLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbonyl Sulfide Lite Nadir Version 7 data product.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2OCSLN_7	TES/Aura L2 Carbonyl Sulfide Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1603490292-LARC.umm_json	TL2OCSLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Carbonyl Sulfide Lite Nadir Version 7 data product.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2OCSNS_7	TES/Aura L2 Carbonyl Sulfide Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612262-LARC_CLOUD.umm_json	TL2OCSNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2OCSNS_7	TES/Aura L2 Carbonyl Sulfide Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331888108-LARC.umm_json	TL2OCSNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2OCSNS_8	TES/Aura L2 Carbonyl Sulfide Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612343-LARC_CLOUD.umm_json	TL2OCSNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2OCSNS_8	TES/Aura L2 Carbonyl Sulfide Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618264471-LARC.umm_json	TL2OCSNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2OCSN_7	TES/Aura L2 Carbonyl Sulfide Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612143-LARC_CLOUD.umm_json	TL2OCSN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.   TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2OCSN_7	TES/Aura L2 Carbonyl Sulfide Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331888267-LARC.umm_json	TL2OCSN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.   TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2OCSN_8	TES/Aura L2 Carbonyl Sulfide Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612183-LARC_CLOUD.umm_json	TL2OCSN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.   TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2OCSN_8	TES/Aura L2 Carbonyl Sulfide Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1616306777-LARC.umm_json	TL2OCSN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.   TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir observations, which point directly to the surface of the Earth are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2PANLN_7	TES/Aura L2 Peroxyacyl Nitrate Lite Nadir V007	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1603490305-LARC.umm_json	TL2PANLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2PANLN_7	TES/Aura L2 Peroxyacyl Nitrate Lite Nadir V007	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612409-LARC_CLOUD.umm_json	TL2PANLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2PANNS_7	TES/Aura L2 Peroxyacyl Nitrate Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612555-LARC_CLOUD.umm_json	TL2PANNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2PANNS_7	TES/Aura L2 Peroxyacyl Nitrate Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331885939-LARC.umm_json	TL2PANNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.   A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.   The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2PANNS_8	TES/Aura L2 Peroxyacyl Nitrate Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618265601-LARC.umm_json	TL2PANNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2PANNS_8	TES/Aura L2 Peroxyacyl Nitrate Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612571-LARC_CLOUD.umm_json	TL2PANNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2PANN_7	TES/Aura L2 Peroxyacyl Nitrate Nadir V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612461-LARC_CLOUD.umm_json	TL2PANN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.  TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2PANN_7	TES/Aura L2 Peroxyacyl Nitrate Nadir V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331886049-LARC.umm_json	TL2PANN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. It consisted of information for one molecular species for an entire Global Survey or Special Observation. It contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.  TES Level 2 data contained retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Nadir and limb observations were in separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2PANN_8	TES/Aura L2 Peroxyacyl Nitrate Nadir V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618264472-LARC.umm_json	TL2PANN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2PANN_8	TES/Aura L2 Peroxyacyl Nitrate Nadir V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612510-LARC_CLOUD.umm_json	TL2PANN_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2RHLN_7	TES/Aura L2 Relative Humidity Lite Nadir	LARC STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1603490236-LARC.umm_json	TL2RHLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2RHLN_7	TES/Aura L2 Relative Humidity Lite Nadir	LARC_CLOUD STAC Catalog	2004-08-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612587-LARC_CLOUD.umm_json	TL2RHLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits.  A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported.  The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied. To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2SUMS_7	TES/Aura L2 Summary Profiles Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182612-LARC.umm_json	TL2SUMS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. Each orbit, the spacecraft advanced 22° westward and, after 233 orbits (16 days) it was back to its starting point. This product contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori constraint vectors.	proprietary
+TL2SUMS_7	TES/Aura L2 Summary Profiles Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612604-LARC_CLOUD.umm_json	TL2SUMS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. Each orbit, the spacecraft advanced 22° westward and, after 233 orbits (16 days) it was back to its starting point. This product contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori constraint vectors.	proprietary
 TL2SUMS_8	TES/Aura L2 Summary Profiles Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1618264559-LARC.umm_json	TL2SUMS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits, over which 3,200 retrievals were performed.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2SUMS_8	TES/Aura L2 Summary Profiles Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612609-LARC_CLOUD.umm_json	TL2SUMS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits, over which 3,200 retrievals were performed.   A nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species volume mixing ratios (VMRs), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object wa bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals were not reported.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels that was used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2SUM_7	TES/Aura L2 Summary Profiles V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182618-LARC.umm_json	TL2SUM_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Summary Profiles Version 7 data product. It contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and priori constraint vectors.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2SUM_7	TES/Aura L2 Summary Profiles V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612593-LARC_CLOUD.umm_json	TL2SUM_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Summary Profiles Version 7 data product. It contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and priori constraint vectors.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2SUM_8	TES/Aura L2 Summary Profiles V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1617143751-LARC.umm_json	TL2SUM_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Summary Profiles Version 8 data product. It contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and priori constraint vectors.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.    A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2SUM_8	TES/Aura L2 Summary Profiles V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612597-LARC_CLOUD.umm_json	TL2SUM_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Summary Profiles Version 8 data product. It contains atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and priori constraint vectors.TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.    A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 4,608 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2SUPS_7	TES/Aura L2 Supplemental Profiles Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182616-LARC.umm_json	TL2SUPS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2SUPS_7	TES/Aura L2 Supplemental Profiles Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612668-LARC_CLOUD.umm_json	TL2SUPS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2SUPS_8	TES/Aura L2 Supplemental Profiles Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612710-LARC_CLOUD.umm_json	TL2SUPS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2SUPS_8	TES/Aura L2 Supplemental Profiles Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619004719-LARC.umm_json	TL2SUPS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.   Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2SUP_7	TES/Aura L2 Supplemental Profiles V007	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612611-LARC_CLOUD.umm_json	TL2SUP_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. After each orbit, the spacecraft advanced 22° westward. After 233 orbits (16 days) it was then back to its starting point. This product contains input data to the TES radiance forward model. These were profiles generated from climatology databases to be used in the forward model calculation but are not retrieved parameters. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters.   Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits, over which 3,200 retrievals were performed.	proprietary
 TL2SUP_7	TES/Aura L2 Supplemental Profiles V007	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182610-LARC.umm_json	TL2SUP_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. After each orbit, the spacecraft advanced 22° westward. After 233 orbits (16 days) it was then back to its starting point. This product contains input data to the TES radiance forward model. These were profiles generated from climatology databases to be used in the forward model calculation but are not retrieved parameters. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters.   Level 2 data contains retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits, over which 3,200 retrievals were performed.	proprietary
+TL2SUP_8	TES/Aura L2 Supplemental Profiles V008	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612620-LARC_CLOUD.umm_json	TL2SUP_8 is the the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Version 8 data product. It contains input data to the TES radiance forward model. These were profiles generated from climatology databases to be used in the forward model calculation but are not retrieved parameters. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2SUP_8	TES/Aura L2 Supplemental Profiles V008	LARC STAC Catalog	2004-08-22	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1616452291-LARC.umm_json	TL2SUP_8 is the the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Supplemental Profiles Version 8 data product. It contains input data to the TES radiance forward model. These were profiles generated from climatology databases to be used in the forward model calculation but are not retrieved parameters. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”  A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Limb observations used a repeating sequence of filter wheel positions. Special Observations could only be scheduled during the 9 or 10 orbit gaps in the Global Surveys, and were conducted in any of three basic modes: stare, transect, step-and-stare. The mode used depended on the science requirement. Each limb observation Limb 1, Limb 2 and Limb 3, were processed independently. Thus, each limb standard product consisted of three sets where each set consisted of 1,152 observations. For TES, the swath object represented one of these sets. Thus, each limb standard product consisted of three swath objects, one for each observation, Limb 1, Limb 2, and Limb 3.   The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied. Also, missing or bad retrievals were not reported.   To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2TLS_006	TES/Aura L2 Atmospheric Temperatures Limb Special Observation V006	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C191856337-LARC.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
+TL2TLS_006	TES/Aura L2 Atmospheric Temperatures Limb Special Observation V006	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612766-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and a priori constraint vectors.	proprietary
 TL2TNS_7	TES/Aura L2 Atmospheric Temperatures Nadir Special Observation V007	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1331182617-LARC.umm_json	TL2TNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and priori constraint vectors. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2TNS_7	TES/Aura L2 Atmospheric Temperatures Nadir Special Observation V007	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612831-LARC_CLOUD.umm_json	TL2TNS_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Special Observation Version 7 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and priori constraint vectors. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
 TL2TNS_8	TES/Aura L2 Atmospheric Temperatures Nadir Special Observation V008	LARC STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1619005020-LARC.umm_json	TL2TNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and priori constraint vectors. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL2TNS_8	TES/Aura L2 Atmospheric Temperatures Nadir Special Observation V008	LARC_CLOUD STAC Catalog	2004-09-13	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612883-LARC_CLOUD.umm_json	TL2TNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and priori constraint vectors. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.  Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix.   A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”  The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.  To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.	proprietary
+TL3ATD_004	TES/Aura L3 Atmospheric Temperatures Daily Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612903-LARC_CLOUD.umm_json	The TES Aura L3 ATD data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
 TL3ATD_5	TES/Aura L3 Atmospheric Temperatures Daily Gridded V005	LARC STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1451577780-LARC.umm_json	TL3ATD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Daily Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3ATD_5	TES/Aura L3 Atmospheric Temperatures Daily Gridded V005	LARC_CLOUD STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612907-LARC_CLOUD.umm_json	TL3ATD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Daily Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3ATD_6	TES/Aura L3 Atmospheric Temperature Daily Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612913-LARC_CLOUD.umm_json	TL3ATD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Daily Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3ATD_6	TES/Aura L3 Atmospheric Temperature Daily Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1629265589-LARC.umm_json	TL3ATD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Daily Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3ATM_004	TES/Aura L3 Atmospheric Temperatures Monthly Gridded V004	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612921-LARC_CLOUD.umm_json	The TES Aura L3 ATD data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms 'Daily' and 'Monthly' representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are 'daily' and 'monthly'. L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
 TL3ATM_004	TES/Aura L3 Atmospheric Temperatures Monthly Gridded V004	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000640-LARC.umm_json	The TES Aura L3 ATD data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms 'Daily' and 'Monthly' representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are 'daily' and 'monthly'. L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: https://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
+TL3ATM_5	TES/Aura L3 Atmospheric Temperatures Monthly Gridded V005	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612926-LARC_CLOUD.umm_json	TL3ATM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3ATM_5	TES/Aura L3 Atmospheric Temperatures Monthly Gridded V005	LARC STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1536988421-LARC.umm_json	TL3ATM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3ATM_6	TES/Aura L3 Atmospheric Temperature Monthly Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612932-LARC_CLOUD.umm_json	TL3ATM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3ATM_6	TES/Aura L3 Atmospheric Temperature Monthly Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1707813009-LARC.umm_json	TL3ATM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3CH4D_004	TES/Aura L3 CH4 Daily Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612941-LARC_CLOUD.umm_json	"The TES Aura L3 CH4 data consist of daily averages of atmospheric Methane for atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms ""Daily"" and ""Monthly"" representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are ""daily"" and ""monthly"". L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS"	proprietary
+TL3CH4D_5	TES/Aura L3 Methane Daily Gridded V005	LARC_CLOUD STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612943-LARC_CLOUD.umm_json	TL3CH4D_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3CH4D_5	TES/Aura L3 Methane Daily Gridded V005	LARC STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1451578788-LARC.umm_json	TL3CH4D_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3CH4D_6	TES/Aura L3 Methane Daily Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1629265522-LARC.umm_json	TL3CH4D_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3CH4D_6	TES/Aura L3 Methane Daily Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612945-LARC_CLOUD.umm_json	TL3CH4D_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3CH4M_004	TES/Aura L3 CH4 Monthly Gridded V004	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612947-LARC_CLOUD.umm_json	The TES Aura L3 CH4 data consist of monthly averages of atmospheric Methane for atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms 'Daily' and 'Monthly' representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are 'daily' and 'monthly'. L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
 TL3CH4M_004	TES/Aura L3 CH4 Monthly Gridded V004	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000660-LARC.umm_json	The TES Aura L3 CH4 data consist of monthly averages of atmospheric Methane for atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms 'Daily' and 'Monthly' representing the approximate time coverage of the L3 products. However the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are 'daily' and 'monthly'. L3 data is provided at uniform grids in latitude and longitude and at selected pressure levels. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
 TL3CH4M_5	TES/Aura L3 Methane Monthly Gridded V005	LARC STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1536988590-LARC.umm_json	TL3CH4M_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Monthly Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, methane, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3CH4M_5	TES/Aura L3 Methane Monthly Gridded V005	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612948-LARC_CLOUD.umm_json	TL3CH4M_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Monthly Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, methane, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3CH4M_6	TES/Aura L3 Methane Monthly Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-31	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C1703619667-LARC.umm_json	TL3CH4M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Monthly Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, methane, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3CH4M_6	TES/Aura L3 Methane Monthly Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-31	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C3215612951-LARC_CLOUD.umm_json	TL3CH4M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Monthly Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, methane, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3CO2LM_3	TES/Aura L3 CO2 Lite Monthly Gridded V003	LARC STAC Catalog	2004-08-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C189920635-LARC.umm_json	The TES Aura L3 CO2 data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
 TL3CO2M_3	TES/Aura L3 CO2 Monthly Gridded V003	LARC STAC Catalog	2004-08-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C189920636-LARC.umm_json	The TES Aura L3 CO2 data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
+TL3COD_4	TES/Aura L3 CO Daily Gridded V004	LARC_CLOUD STAC Catalog	2004-09-03	2020-11-20	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C3215612958-LARC_CLOUD.umm_json	Tropospheric Emission Spectrometer (TES) Aura L3 Carbon Monoxide (CO) Daily Gridded (TL3COD) data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated with in that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS.	proprietary
+TL3COD_5	TES/Aura L3 Carbon Monoxide Daily Gridded V005	LARC_CLOUD STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612969-LARC_CLOUD.umm_json	TL3COD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level3 Carbon Monoxide Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and VMR for the atmospheric species, carbon monoxide, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3COD_5	TES/Aura L3 Carbon Monoxide Daily Gridded V005	LARC STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1429942570-LARC.umm_json	TL3COD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level3 Carbon Monoxide Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and VMR for the atmospheric species, carbon monoxide, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3COD_6	TES/Aura L3 Carbon Monoxide Daily Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612971-LARC_CLOUD.umm_json	TL3COD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level3 Carbon Monoxide Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and VMR for the atmospheric species, carbon monoxide, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3COD_6	TES/Aura L3 Carbon Monoxide Daily Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1629286378-LARC.umm_json	TL3COD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level3 Carbon Monoxide Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and VMR for the atmospheric species, carbon monoxide, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3COM_003	TES/Aura L3 CO Monthly Gridded V003	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612979-LARC_CLOUD.umm_json	Monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.	proprietary
 TL3COM_003	TES/Aura L3 CO Monthly Gridded V003	LARC STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C189204048-LARC.umm_json	Monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.	proprietary
 TL3COM_5	TES/Aura L3 Carbon Monoxide Monthly Gridded V005	LARC STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1536988585-LARC.umm_json	TL3COM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Carbon Monoxide Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric carbon monoxide species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3COM_5	TES/Aura L3 Carbon Monoxide Monthly Gridded V005	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215612995-LARC_CLOUD.umm_json	TL3COM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Carbon Monoxide Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric carbon monoxide species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3COM_6	TES/Aura L3 Carbon Monoxide Monthly Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-31	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C3215613001-LARC_CLOUD.umm_json	TL3COM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Carbon Monoxide Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consists of monthly atmospheric temperature and volume mixing ratio (VMR) for the atmospheric carbon monoxide species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3H2OD_4	TES/Aura L3 H2O Daily Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22	2020-11-20	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C3215613020-LARC_CLOUD.umm_json	Tropospheric Emission Spectrometer (TES) Aura L3 Water Vapor (H20) Daily Gridded (TL3H2OD) data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated with in that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS.	proprietary
+TL3H2OD_5	TES/Aura L3 Water Vapor Daily Gridded V005	LARC_CLOUD STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613034-LARC_CLOUD.umm_json	TL3H2OD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the water vapor atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3H2OD_5	TES/Aura L3 Water Vapor Daily Gridded V005	LARC STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1429943130-LARC.umm_json	TL3H2OD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the water vapor atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3H2OD_6	TES/Aura L3 Water Vapor Daily Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613042-LARC_CLOUD.umm_json	TL3H2OD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the water vapor atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3H2OD_6	TES/Aura L3 Water Vapor Daily Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1629265590-LARC.umm_json	TL3H2OD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the water vapor atmospheric species, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3H2OM_3	TES/Aura L3 H2O Monthly Gridded V003	LARC_CLOUD STAC Catalog	2004-08-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613076-LARC_CLOUD.umm_json	The TES Aura L3 H2O data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
 TL3H2OM_4	TES/Aura L3 H2O Monthly Gridded V004	LARC STAC Catalog	2004-08-22	2012-11-11	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000663-LARC.umm_json	TL3H2OM_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3H2OM_4	TES/Aura L3 H2O Monthly Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22	2012-11-11	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613142-LARC_CLOUD.umm_json	TL3H2OM_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3H2OM_5	TES/Aura L3 Water Vapor Monthly Gridded V005	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613233-LARC_CLOUD.umm_json	TL3H2OM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3H2OM_5	TES/Aura L3 Water Vapor Monthly Gridded V005	LARC STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1536988697-LARC.umm_json	TL3H2OM_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3H2OM_6	TES/Aura L3 Water Vapor Monthly Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613349-LARC_CLOUD.umm_json	TL3H2OM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3H2OM_6	TES/Aura L3 Water Vapor Monthly Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1703619841-LARC.umm_json	TL3H2OM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.  The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3HDOD_4	TES/Aura L3 HDO Daily Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22	2020-11-20	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C3215613532-LARC_CLOUD.umm_json	Tropospheric Emission Spectrometer (TES) Aura L3 Deuterium Oxide (HDO) Daily Gridded (TL3HDOD) data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated with in that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS.	proprietary
+TL3HDOD_5	TES/Aura L3 Deuterium Oxide Daily Gridded V005	LARC_CLOUD STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613687-LARC_CLOUD.umm_json	TL3HDOD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 (L3) 3 Deuterium Oxide Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the deuterium oxide atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3HDOD_5	TES/Aura L3 Deuterium Oxide Daily Gridded V005	LARC STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1429943812-LARC.umm_json	TL3HDOD_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 (L3) 3 Deuterium Oxide Daily Gridded Version 5 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the deuterium oxide atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
 TL3HDOD_6	TES/Aura L3 Deuterium Oxide Daily Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1629265632-LARC.umm_json	TL3HDOD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 (L3) 3 Deuterium Oxide Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the deuterium oxide atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3HDOD_6	TES/Aura L3 Deuterium Oxide Daily Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613782-LARC_CLOUD.umm_json	TL3HDOD_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 (L3) 3 Deuterium Oxide Daily Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the deuterium oxide atmospheric species, which are provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.	proprietary
+TL3HDOM_4	TES/Aura L3 HDO Monthly Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22	2012-11-11	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613877-LARC_CLOUD.umm_json	TL3HDOM_4 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
 TL3HDOM_4	TES/Aura L3 HDO Monthly Gridded V004	LARC STAC Catalog	2004-08-22	2012-11-11	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000661-LARC.umm_json	TL3HDOM_4 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
 TL3HDOM_5	TES/Aura L3 Deuterium Oxide Monthly Gridded V005	LARC STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1536988699-LARC.umm_json	TL3HDOM_5 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
+TL3HDOM_5	TES/Aura L3 Deuterium Oxide Monthly Gridded V005	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215613970-LARC_CLOUD.umm_json	TL3HDOM_5 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
 TL3HDOM_6	TES/Aura L3 Deuterium Oxide Monthly Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1703619839-LARC.umm_json	TL3HDOM_6 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
+TL3HDOM_6	TES/Aura L3 Deuterium Oxide Monthly Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614046-LARC_CLOUD.umm_json	TL3HDOM_6 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Deuterium Oxide Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available.   The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may have been present. Specific to L3 processing were the terms Daily and Monthly, which represented the approximate time coverage of the L3 products. However, the input data granules to the L3 process were completed Global Surveys; in other words a Global Survey were not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
+TL3HNOD_4	TES/Aura L3 HNO3 Daily Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22	2005-04-10	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614124-LARC_CLOUD.umm_json	TL3HNOD_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. Each orbit, the spacecraft advanced 22° westward and, after 233 orbits (16 days) it was back to its starting point. TES/Aura L3 HNO3 Daily Gridded V004 measures daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degrees latitude by 4 degrees longitude spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES Level 3 data will be provided in the data files.	proprietary
 TL3HNOD_4	TES/Aura L3 HNO3 Daily Gridded V004	LARC STAC Catalog	2004-08-22	2005-04-10	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000501-LARC.umm_json	TL3HNOD_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. The satellite flew at an altitude of 705 km in an orbit that took it near Earth's North and South Poles. Each orbit, the spacecraft advanced 22° westward and, after 233 orbits (16 days) it was back to its starting point. TES/Aura L3 HNO3 Daily Gridded V004 measures daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which are provided at 2 degrees latitude by 4 degrees longitude spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES Level 3 data will be provided in the data files.	proprietary
+TL3HNOM_4	TES/Aura L3 HNO3 Monthly Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22	2005-03-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614220-LARC_CLOUD.umm_json	TL3HNOM_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 4 data product. It consists of monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.	proprietary
 TL3HNOM_4	TES/Aura L3 HNO3 Monthly Gridded V004	LARC STAC Catalog	2004-08-22	2005-03-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000600-LARC.umm_json	TL3HNOM_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 4 data product. It consists of monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.	proprietary
+TL3O3D_004	TES/Aura L3 O3 Daily Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614279-LARC_CLOUD.umm_json	The TES Aura L3 O3 data consist of daily atmospheric temperature and VMR for the atmospheric species. Data are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolates the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF - EOS-EOS grid data. A separate product file is produced for each different atmospheric species. TES obtains data in two basic observation modes: Limb or Nadir. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey will not be split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represent a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products are daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS) which is available from the LaRC ASDC site: http://eosweb.larc.nasa.gov/project/tes/DPS	proprietary
 TL3O3D_5	TES/Aura L3 Ozone Daily Gridded V005	LARC STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1451578809-LARC.umm_json	TL3O3D_5 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Ozone Daily Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species.   TES obtains data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are completed Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceeded the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
+TL3O3D_5	TES/Aura L3 Ozone Daily Gridded V005	LARC_CLOUD STAC Catalog	2004-09-18	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614372-LARC_CLOUD.umm_json	TL3O3D_5 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Ozone Daily Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species.   TES obtains data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are completed Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceeded the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
 TL3O3D_6	TES/Aura L3 Ozone Daily Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1630077566-LARC.umm_json	TL3O3D_6 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Ozone Daily Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species.   TES obtains data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are completed Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceeded the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
+TL3O3D_6	TES/Aura L3 Ozone Daily Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614457-LARC_CLOUD.umm_json	TL3O3D_6 is the Tropospheric Emission Spectrometer (TES)/Aura L3 Ozone Daily Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, which were provided at 2 degree latitude by 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file is produced for each different atmospheric species.   TES obtains data in two basic observation modes: Limb or Nadir. The product file may have contained, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing are the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are completed Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceeded the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
 TL3O3M_4	TES/Aura L3 O3 Monthly Gridded V004	LARC STAC Catalog	2004-08-22	2012-11-11	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000641-LARC.umm_json	TL3O3M_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
+TL3O3M_4	TES/Aura L3 O3 Monthly Gridded V004	LARC_CLOUD STAC Catalog	2004-08-22	2012-11-11	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614521-LARC_CLOUD.umm_json	TL3O3M_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 4 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
 TL3O3M_5	TES/Aura L3 Ozone Monthly Gridded V005	LARC STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1536988712-LARC.umm_json	TL3O3M_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
+TL3O3M_5	TES/Aura L3 Ozone Monthly Gridded V005	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614587-LARC_CLOUD.umm_json	TL3O3M_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
 TL3O3M_6	TES/Aura L3 Ozone Monthly Gridded V006	LARC STAC Catalog	2004-09-03	2018-01-31	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C1703619764-LARC.umm_json	TL3O3M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
+TL3O3M_6	TES/Aura L3 Ozone Monthly Gridded V006	LARC_CLOUD STAC Catalog	2004-09-03	2018-01-31	-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C3215614658-LARC_CLOUD.umm_json	TL3O3M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present.   Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS).	proprietary
 TLS_Lidar_BlueFlux_Mangroves_2311_1	Blueflux: Terrestrial Lidar Scans of Mangrove Forests, Everglades, FL, USA, 2022-2023	ORNL_CLOUD STAC Catalog	2022-03-20	2023-03-13	-81.08, 25.14, -80.9, 25.38	https://cmr.earthdata.nasa.gov/search/concepts/C3170821246-ORNL_CLOUD.umm_json	"This dataset contains point clouds of three-dimensional (3D) mangrove forest structure and volume collected from 10 sites in Everglades National Park, Florida. Data were collected during NASA CMS ""Blueflux"" campaigns in March 2022, October 2022, and March 2023. Products were acquired using a RIEGL VZ-400i terrestrial laser scanner (TLS). TLS is a non-destructive and quantitative method for in situ 3D forest structure measuring and monitoring. Data are provided in LAS (*.las) format."	proprietary
 TMI-REMSS-L2P-v4_4.0	GHRSST Level 2P Global Subskin Sea Surface Temperature from TRMM Microwave Imager (TMI) onboard Tropical Rainfall Measurement Mission (TRMM) satellite	POCLOUD STAC Catalog	1998-01-01	2015-01-11	-179.99, -39.06, 180, 39.01	https://cmr.earthdata.nasa.gov/search/concepts/C2036879048-POCLOUD.umm_json	"GDS2 Version -The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature  (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N.  Remote Sensing Systems has produced a Version-4 TMI ocean SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST)  by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols.  The algorithm for retrieving SSTs from radiometer data is described in ""AMSR Ocean Algorithm."""	proprietary
 TMI-REMSS-L3U-v7.1a_7.1a	GHRSST Level 3U Global Subskin Sea Surface Temperature from TMI onboard  TRMM satellite	POCLOUD STAC Catalog	1997-12-08	2015-01-01	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2617176783-POCLOUD.umm_json	"The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature  (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, sea surface temperature (SST) and surface wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial processing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N.  Remote Sensing Systems (REMSS) has produced a Version-7.1a TMI SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols.  The algorithm for retrieving SSTs from radiometer data is described in ""AMSR Ocean Algorithm."""	proprietary
 TML2COS_2	TES/MLS Aura L2 Carbon Monoxide Special Observation V002	LARC STAC Catalog	2005-08-24	2017-11-15	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1458062793-LARC.umm_json	TML2COS_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 2 data product. It consists of atmospheric vertical profile estimates and associated errors derived using TES and MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.	proprietary
+TML2COS_2	TES/MLS Aura L2 Carbon Monoxide Special Observation V002	LARC_CLOUD STAC Catalog	2005-08-24	2017-11-15	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614771-LARC_CLOUD.umm_json	TML2COS_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 2 data product. It consists of atmospheric vertical profile estimates and associated errors derived using TES and MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.	proprietary
+TML2CO_001	TES/MLS Aura L2 CO V001	LARC_CLOUD STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614695-LARC_CLOUD.umm_json	Atmospheric vertical profile estimates and associated errors derived using TES & MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.	proprietary
+TML2CO_2	TES/MLS Aura L2 Carbon Monoxide V002	LARC_CLOUD STAC Catalog	2005-07-26	2017-11-13	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614731-LARC_CLOUD.umm_json	TML2CO_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 2 data product. It consists of atmospheric vertical profile estimates and associated errors derived using TES and MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.	proprietary
 TML2CO_2	TES/MLS Aura L2 Carbon Monoxide V002	LARC STAC Catalog	2005-07-26	2017-11-13	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1458062794-LARC.umm_json	TML2CO_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 2 data product. It consists of atmospheric vertical profile estimates and associated errors derived using TES and MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors.	proprietary
 TM_MOSAICS_Not provided	Thematic Mapper (TM) Mosaics (1984-1997)	USGS_LTA STAC Catalog	1970-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1220567832-USGS_LTA.umm_json	Mosaic data products, which are also available for Tri-Decadal Global Landsat Orthorectified TM and ETM+ Pan-sharpened data, and may be searched and downloaded through EarthExplorer.  Ground control points are fixed, and images have been registered to the Universal Transverse Mercator (UTM) map projection and coordinate system and the World Geodetic System 1984 (WGS84) datum. All image bands have been individually resampled, using a nearest neighbor algorithm. Positional accuracy on the final image product has a Root Mean Square Error of better than 100 meters (MSS) and 50 meters (TM and ETM+). The Landsat data were acquired and processed through a National Aeronautics and Space Administration (NASA) contract with Earth Satellite Corporation, Rockville, Maryland, and are part of NASA's Scientific Data Purchase program.  When possible, data were collected when vegetation was at peak greenness. Peak greenness was determined from global 1-kilometer Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) data. When peak greenness data were not available, images from other times of the year were substituted. 	proprietary
 TNE_8A_acidification_microbes_1	Effects of ocean acidification on Antarctic marine microbes	AU_AADC STAC Catalog	2008-12-30	2009-02-19	77.97, -68.581, 77.971, -68.58	https://cmr.earthdata.nasa.gov/search/concepts/C1214314105-AU_AADC.umm_json	Three experiments were performed at Davis Station, East Antarctica 77 degrees 58' E, 68 degrees 35' S to determine the effects of ocean acidification on natural assemblages of Antarctica marine microbes (bacteria, viruses, phytoplankton and protozoa). Incubation tanks (minicosms) were filled on the 30/12/08, 20/01/09 and 09/02/09 with sea water that was filtered through 200 microns mesh to remove metazoan grazers. The pH of the contents of each tank was then adjusted by adding calculated amounts to CO2 saturated sea water to achieve and maintain CO2 concenrtations that encompassed atmospheric concenrtations from pre-industrial to post-2100.  As 6 tanks were available the 3 x current CO2 treatment was duplicated to indicate the variance among replicate tanks. Instead, responses were analysed to determine trends among concentrations. The microbial communities were incubated for 10, 12 and 10 days, in experiments 1, 2 and 3 respectively. Chemical and biological parameters were measured every second day to determine concentrations of macronutrients, particulate and dissolved organic carbon, pigment composition, dissolved oxygen, concentrations of phytoplankton, protozoa, bacteria (and viruses) using flow cytometry, light and electron microscopy, lipids, rates of primary, bacterial production and microzooplankton grazing.      These data have been collected as part of ASAC project 40 (ASAC_40), and Terrestrial Nearshore Ecosystems project 8A.  The excel spreadsheet contains:  Separate sheets reporting the results from each of the 3 experiments run at Davis Station in the 2008/09 summer.  Abbreviations are as follows:  Nutrients: NO3 =nitrate, PO4 = Phosphate, Si = silicate  Primary production and respiration were determined from oxygen microelectrodes: net photosynthesis from oxygen increase during exposure to light and respiration determined from net decrease in oxygen in the absence of light.  Photosynthetic parameters were also measure using 14C bicarbonate as a trace for Carbon uptake, these being: maximum photosynthetic rate) Pmax, Photosynthetic efficiency (Alpha) and saturating light intensity (Ek).  Flow cytometry was used to count 7 microbial parameters: pico phytoplankton (Picos) nanophytoplankton in two regions (Nano R2 and Nano R3).  Cryptophytes, high DNA bacteria (HDNA_bact) and low DNA bacteria (LDNA_bact).  Microscope cell counts identified a range of taxa/groups that comprised greater than 1% of the total phytoplankton abundance: unidentified nanoplankton (UNAN), small pennate diatoms (Pennate less than 10 microns)  and other taxa as specified.  Organic material measurements including: Particulate organic carbon (POC), Particulate organic nitrogen (PON) particulate carbon to nitrogen ratio (C:N), Dissolved organic carbon (DOC)  Intermittent measurements were also made of rates of herbivory and bacterivory and rates of phytoplankton and bacterial growth in 3 of the 6 tanks.  Photosynthetic pigments were measured and are given only for experiment 1 so far (other to come later): Beta-Beta carotene (BB carotene), Chlorophylls c1 (Chl c1), c2 (Chl c2), c3 Chl c3), a (Chl a), b (Chl b), Chlorophyllide a (Chlidea), diadinoxanthin (Ddx), Diatoxanthin (dtx), Chl a epimer (epi), Fucoxanthin (Fuc), 19'-hexanoyloxyfucoxathin (Hex), Methyl Chlorophyllide a (MeChlidea), Magnesium divinyl  pheaoporphyrin monomethyl ester (MgDVP), Phaeophytin (Phaeo), Violaxanthin (viola) and total pigment concentration. CHEMTAX will also be performed using these pigments to study CO2-induced changes in phytoplankton community structure.	proprietary
 TOL2O3S_2	TES/OMI Aura L2 Ozone Special Observation V002	LARC STAC Catalog	2004-10-16	2015-10-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1593397158-LARC.umm_json	TOL2O3S_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 (L2) Atmospheric Temperatures Limb Version 2 data product. It was derived from TES nadir and Ozone Monitoring Instrument (OMI) hyper-spectral measurements from the Aura satellite to jointly estimate an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared measurements being largely sensitive to lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile was a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product, using TES and OMI processing results, provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.	proprietary
+TOL2O3S_2	TES/OMI Aura L2 Ozone Special Observation V002	LARC_CLOUD STAC Catalog	2004-10-16	2015-10-22	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614855-LARC_CLOUD.umm_json	TOL2O3S_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 (L2) Atmospheric Temperatures Limb Version 2 data product. It was derived from TES nadir and Ozone Monitoring Instrument (OMI) hyper-spectral measurements from the Aura satellite to jointly estimate an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared measurements being largely sensitive to lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile was a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product, using TES and OMI processing results, provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.	proprietary
 TOL2O3S_3	TES/Aura TES-OMI L2 Ozone Nadir Special Observation V003	LARC STAC Catalog	2004-08-22	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1711880948-LARC.umm_json	TOL2O3S_3 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 (L2) Atmospheric Temperatures Limb Version 3 data product. It was derived from TES nadir and Ozone Monitoring Instrument (OMI) hyper-spectral measurements from the Aura satellite to jointly estimate an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared measurements being largely sensitive to lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile was a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product, using TES and OMI processing results, provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.	proprietary
+TOL2O3S_3	TES/Aura TES-OMI L2 Ozone Nadir Special Observation V003	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614982-LARC_CLOUD.umm_json	TOL2O3S_3 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 (L2) Atmospheric Temperatures Limb Version 3 data product. It was derived from TES nadir and Ozone Monitoring Instrument (OMI) hyper-spectral measurements from the Aura satellite to jointly estimate an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.   TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared measurements being largely sensitive to lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile was a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product, using TES and OMI processing results, provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.	proprietary
 TOL2O3_2	TES/OMI Aura L2 Ozone V002	LARC STAC Catalog	2004-10-09	2009-01-23	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1593397141-LARC.umm_json	TOL2O3_2 is the Tropospheric Emission Spectrometer (TES)/Ozone Monitoring Instrument (OMI) Level 2 Ozone (O3) Nadir Version 2 data product. It was derived from TES Nadir and OMI hyper-spectral measurements from the Aura satellite and jointly estimated an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.  TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared (IR) measurements being largely sensitive to the lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir, which point directly to the surface of the Earth, and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile had a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product used TES and OMI processing results and provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.	proprietary
+TOL2O3_2	TES/OMI Aura L2 Ozone V002	LARC_CLOUD STAC Catalog	2004-10-09	2009-01-23	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614834-LARC_CLOUD.umm_json	TOL2O3_2 is the Tropospheric Emission Spectrometer (TES)/Ozone Monitoring Instrument (OMI) Level 2 Ozone (O3) Nadir Version 2 data product. It was derived from TES Nadir and OMI hyper-spectral measurements from the Aura satellite and jointly estimated an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.  TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared (IR) measurements being largely sensitive to the lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir, which point directly to the surface of the Earth, and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfered with that from O3. This combined O3 profile had a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product used TES and OMI processing results and provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.	proprietary
 TOL2O3_3	TES/Aura TES-OMI L2 Ozone Nadir V003	LARC STAC Catalog	2004-08-22	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1711880916-LARC.umm_json	TOL2O3_3 is the Tropospheric Emission Spectrometer (TES)/Ozone Monitoring Instrument (OMI) Level 2 Ozone (O3) Nadir Version 3 data product. It was derived from TES Nadir and OMI hyper-spectral measurements from the Aura satellite and jointly estimated an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.  TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared (IR) measurements being largely sensitive to the lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir, which point directly to the surface of the Earth, and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfereed with that from O3. This combined O3 profile had a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product used TES and OMI processing results and provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.	proprietary
+TOL2O3_3	TES/Aura TES-OMI L2 Ozone Nadir V003	LARC_CLOUD STAC Catalog	2004-08-22	2018-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215614841-LARC_CLOUD.umm_json	TOL2O3_3 is the Tropospheric Emission Spectrometer (TES)/Ozone Monitoring Instrument (OMI) Level 2 Ozone (O3) Nadir Version 3 data product. It was derived from TES Nadir and OMI hyper-spectral measurements from the Aura satellite and jointly estimated an atmospheric ozone (O3) profile with extended vertical range compared to profiles retrieved from the individual measurement.  TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete.  TES and OMI stand-alone O3 profile retrievals were largely complementary, with TES infrared (IR) measurements being largely sensitive to the lower to middle troposphere while OMI total column O3 in the upper troposphere and lower stratosphere. TES nadir, which point directly to the surface of the Earth, and OMI locations were paired within 6-8 min and within 220 km. The paired radiance measurements of the two instruments in each location were optimally combined to retrieve a single O3 profile along with other trace gases whose signal interfereed with that from O3. This combined O3 profile had a vertical resolution and vertical range that was an improvement over the two stand-alone products, especially in the upper troposphere/lower stratosphere. This Aura TES-OMI O3 product used TES and OMI processing results and provided a unique data set for studying tropospheric transport of air pollutants and troposphere-stratospheric exchange processes.	proprietary
 TOLNet_CCNY_Data_1	TOLNet City College of New York Data	LARC_ASDC STAC Catalog	2023-06-01		-73.95, 40.81, -73.94, 40.83	https://cmr.earthdata.nasa.gov/search/concepts/C2963342499-LARC_ASDC.umm_json	TOLNet_CCNY_Data is the lidar data collected by the New York Tropospheric Ozone Lidar System (NYTOLS) at the City College of New York (CCNY) as part of the Tropospheric Ozone Lidar Network (TOLNet). Data collection for this product is ongoing.    In the troposphere, ozone is considered a pollutant and is important to understand due to its harmful effects on human health and vegetation. Tropospheric ozone is also significant for its impact on climate as a greenhouse gas. Operating since 2011, TOLNet is an interagency collaboration between NASA, NOAA, and the EPA designed to perform studies of air quality and atmospheric modeling as well as validation and interpretation of satellite observations. TOLNet is currently comprised of seven Differential Absorption Lidars (DIAL). Each of the lidars are unique, and some have had a long history of ozone observations prior to joining the network. Five lidars are mobile systems that can be deployed at remote locations to support field campaigns. This includes the Langley Mobile Ozone Lidar (LMOL) at NASA Langley Research Center (LaRC), the Tropospheric Ozone (TROPOZ) lidar at the Goddard Space Flight Center (GSFC), the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado, the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada, and the Rocket-city O3 Quality Evaluation in the Troposphere (RO3QET) lidar at the University of Alabama in Huntsville, Alabama. The remaining lidars, the Table Mountain Facility (TMF) tropospheric ozone lidar system located at the NASA Jet Propulsion Laboratory (JPL), and City College of New York (CCNY) New York Tropospheric Ozone Lidar System (NYTOLS) are fixed systems.    TOLNet seeks to address three science objectives. The primary objective of the network is to provide high spatio-temporal measurements of ozone from near the surface to the top of the troposphere. Detailed observations of ozone structure allow science teams and the modeling community to better understand ozone in the lower-atmosphere and to assess the accuracy and vertical resolution with which geosynchronous instruments could retrieve the observed laminar ozone structures. Another objective of TOLNet is to identify an ozone lidar instrument design that would be suitable to address the needs of NASA, NOAA, and EPA air quality scientists who express a desire for these ozone profiles. The third objective of TOLNET is to perform basic scientific research into the processes create and destroy the ubiquitously observed ozone laminae and other ozone features in the troposphere. To help fulfill these objectives, lidars that are a part of TOLNet have been deployed to support nearly ten campaigns thus far. This includes campaigns such as the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission, the Korea United States Air Quality Study (KORUS-AQ), the Tracking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign, the Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ), the Long Island Sound Tropospheric Ozone Study (LISTOS), and the Ozone Water–Land Environmental Transition Study (OWLETS).	proprietary
 TOLNet_CSL_Data_1	TOLNet NOAA Chemical Sciences Laboratory Data	LARC_ASDC STAC Catalog	2015-03-04		-119.5, 34.3, -72.72, 42.26	https://cmr.earthdata.nasa.gov/search/concepts/C2565806439-LARC_ASDC.umm_json	TOLNet_CSL_Data is the lidar data collected by the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado as part of the Tropospheric Ozone Lidar Network (TOLNet). Data collection for this product is ongoing.    In the troposphere, ozone is considered a pollutant and is important to understand due to its harmful effects on human health and vegetation. Tropospheric ozone is also significant for its impact on climate as a greenhouse gas. Operating since 2011, TOLNet is an interagency collaboration between NASA, NOAA, and the EPA designed to perform studies of air quality and atmospheric modeling as well as validation and interpretation of satellite observations. TOLNet is currently comprised of seven Differential Absorption Lidars (DIAL). Each of the lidars are unique, and some have had a long history of ozone observations prior to joining the network. Five lidars are mobile systems that can be deployed at remote locations to support field campaigns. This includes the Langley Mobile Ozone Lidar (LMOL) at NASA Langley Research Center (LaRC), the Tropospheric Ozone (TROPOZ) lidar at the Goddard Space Flight Center (GSFC), the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado, the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada, and the Rocket-city O3 Quality Evaluation in the Troposphere (RO3QET) lidar at the University of Alabama in Huntsville, Alabama. The remaining lidars, the Table Mountain Facility (TMF) tropospheric ozone lidar system located at the NASA Jet Propulsion Laboratory (JPL), and City College of New York (CCNY) New York Tropospheric Ozone Lidar System (NYTOLS) are fixed systems.    TOLNet seeks to address three science objectives. The primary objective of the network is to provide high spatio-temporal measurements of ozone from near the surface to the top of the troposphere. Detailed observations of ozone structure allow science teams and the modeling community to better understand ozone in the lower-atmosphere and to assess the accuracy and vertical resolution with which geosynchronous instruments could retrieve the observed laminar ozone structures. Another objective of TOLNet is to identify an ozone lidar instrument design that would be suitable to address the needs of NASA, NOAA, and EPA air quality scientists who express a desire for these ozone profiles. The third objective of TOLNET is to perform basic scientific research into the processes create and destroy the ubiquitously observed ozone laminae and other ozone features in the troposphere. To help fulfill these objectives, lidars that are a part of TOLNet have been deployed to support nearly ten campaigns thus far. This includes campaigns such as the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission, the Korea United States Air Quality Study (KORUS-AQ), the Tracking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign, the Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ), the Long Island Sound Tropospheric Ozone Study (LISTOS), and the Ozone Water–Land Environmental Transition Study (OWLETS).	proprietary
 TOLNet_ECCC_Data_1	TOLNet Environment and Climate Change Canada Data	LARC_ASDC STAC Catalog	2016-11-04		-111.7, 57.1, -111.6, 57.2	https://cmr.earthdata.nasa.gov/search/concepts/C2566302585-LARC_ASDC.umm_json	TOLNet_ECCC_Data is the lidar data collected by the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada as part of the Tropospheric Ozone Lidar Network (TOLNet). Data collection for this product is ongoing.    In the troposphere, ozone is considered a pollutant and is important to understand due to its harmful effects on human health and vegetation. Tropospheric ozone is also significant for its impact on climate as a greenhouse gas. Operating since 2011, TOLNet is an interagency collaboration between NASA, NOAA, and the EPA designed to perform studies of air quality and atmospheric modeling as well as validation and interpretation of satellite observations. TOLNet is currently comprised of six Differential Absorption Lidars (DIAL). Each of the lidars are unique, and some have had a long history of ozone observations prior to joining the network. Five lidars are mobile systems that can be deployed at remote locations to support field campaigns. This includes the Langley Mobile Ozone Lidar (LMOL) at NASA Langley Research Center (LaRC), the Tropospheric Ozone (TROPOZ) lidar at the Goddard Space Flight Center (GSFC), the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado, the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada, and the Rocket-city O3 Quality Evaluation in the Troposphere (RO3QET) lidar at the University of Alabama in Huntsville, Alabama.   The remaining lidars, the Table Mountain Facility (TMF) tropospheric ozone lidar system located at the NASA Jet Propulsion Laboratory (JPL), and City College of New York (CCNY) New York Tropospheric Ozone Lidar System (NYTOLS) are fixed systems.    TOLNet seeks to address three science objectives. The primary objective of the network is to provide high spatio-temporal measurements of ozone from near the surface to the top of the troposphere. Detailed observations of ozone structure allow science teams and the modeling community to better understand ozone in the lower-atmosphere and to assess the accuracy and vertical resolution with which geosynchronous instruments could retrieve the observed laminar ozone structures. Another objective of TOLNet is to identify an ozone lidar instrument design that would be suitable to address the needs of NASA, NOAA, and EPA air quality scientists who express a desire for these ozone profiles. The third objective of TOLNET is to perform basic scientific research into the processes create and destroy the ubiquitously observed ozone laminae and other ozone features in the troposphere. To help fulfill these objectives, lidars that are a part of TOLNet have been deployed to support nearly ten campaigns thus far. This includes campaigns such as the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission, the Korea United States Air Quality Study (KORUS-AQ), the Tracking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign, the Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ), the Long Island Sound Tropospheric Ozone Study (LISTOS), and the Ozone Water–Land Environmental Transition Study (OWLETS).	proprietary
@@ -14808,6 +15296,7 @@ USM_pCO2_0	University of Southern Mississippi (USM) - partial pressure of carbon
 US_FOREST_FRAGMENTATION_Not provided	Forest Fragmentation in the United States	CEOS_EXTRA STAC Catalog	1970-01-01		-128, 24, -65, 50	https://cmr.earthdata.nasa.gov/search/concepts/C2231549003-CEOS_EXTRA.umm_json	"National Land Cover Data (NLCD) was reclassified into three categories: forest, other natural (e.g., grassland and wetland), and anthropogenic use (e.g., agricultural and urban). Three new grids were created, one for each edge type (forest, forest, forest natural, and forest anthropogenic). The values in these grids were calculated as the number of edges with the appropriate type in the window divided by the total number of forest edges, regardless of neighbor. These grids represented forest connectivity (forest forest edges), naturally caused forest fragmentation (forest natural edges), and human-caused forest fragmentation (forest anthropogenic edges).  In the map, forest connectivity is displayed in green, natural fragmentation in blue, and human fragmentation in red. Pure green identifies areas where most or all forest edges are shared by another forest pixel. Pure red areas are where forest edges are largely shared with human land use. Pure blue areas show where most or all forest edges are shared with another natural land cover type. Different mixes of the three edge types can produce other colors. Two common examples in the map are yellow and cyan. Yellow identifies areas with roughly equal amounts of forest connectivity and anthropogenic fragmentation. Cyan is where forest connectivity and natural fragmentation are approximately equal. Black represents areas with no forest in the window, and white represents ignored areas, mostly water, as well as state boundaries.  With few exceptions, forest fragmentation by other natural land cover types is confined to the western United States, while most human-caused forest fragmentation is in the East and Midwest. The yellow and red areas around Yellowstone in northwest Wyoming are a result of the wildfires in 1988. The burned areas are classified as ""transitional"" in the NLCD, which are treated as anthropogenic use. The Mississippi River valley was largely forested at one time but has been almost entirely converted to agricultural use, resulting in a display of black and red.  Las Vegas, Nevada, is visible as a patch of red in the Mojave Desert due to an ""urban forest"" effect from trees planted by residents. Riparian corridors are highly visible in arid and developed areas, especially the West and Midwest. In arid areas, climate often confines trees to riparian zones that are displayed in shades of blue. In the intensely farmed Midwest, intact and restored riparian vegetation is depicted in yellow or red. Southern Atlantic coastal plain riparian zones are wider; forest is better connected and is shown in green."	proprietary
 US_MODIS_NDVI_1299_3	MODIS NDVI Data, Smoothed and Gap-filled, for the Conterminous US: 2000-2015	ORNL_CLOUD STAC Catalog	2000-01-01	2015-12-31	-129.89, 20.85, -62.56, 50.56	https://cmr.earthdata.nasa.gov/search/concepts/C2764637520-ORNL_CLOUD.umm_json	This data set provides Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data, smoothed and gap-filled, for the conterminous US for the period 2000-01-01 through 2015-12-31. The data were generated using the NASA Stennis Time Series Product Tool (TSPT) to generate NDVI data streams from the Terra satellite (MODIS MOD13Q1 product) and Aqua satellite (MODIS MYD13Q1 product)  instruments.  TSPT produces NDVI data that are less affected by clouds and bad pixels.	proprietary
 US_MODIS_Veg_Parameters_1539_1	MODIS-derived Vegetation and Albedo Parameters for Agroecosystem-Climate Modeling	ORNL_CLOUD STAC Catalog	2003-01-01	2010-12-31	-139.05, 15.15, -51.95, 49.15	https://cmr.earthdata.nasa.gov/search/concepts/C2517700524-ORNL_CLOUD.umm_json	This dataset provides MODIS-derived leaf area index (LAI), stem area index (SAI), vegetation area fraction, dominant landcover category, and albedo parameters for the continental US (CONUS), parts of southern Canada, and Mexico at 30 km resolution. The data cover the period 2003-2010 and were developed to be used as surface input data for regional agroecosystem-climate models. MODIS Collection 5 products used to derive these parameters included the Terra yearly water mask, vegetation continuous field products, the combined Terra and Aqua yearly land-cover category (LCC) (MCD12Q1), 8-day composites for LAI (MCD15A2), and albedo parameter (MCD43B1) products. Please note that the MODIS Version 5 land data products used in this dataset have been superseded by Version 6 data products.	proprietary
+UTCPoleT_001	UT1 - UTC and Polar Motion - ECS internal format for Toolkit V 001 Non-orderable	LARC_CLOUD STAC Catalog	1990-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2951425376-LARC_CLOUD.umm_json	ECS internal format for daily values of UT1 - UTC and the x and y components of polar motion. From 1972 onwards. Flag for final or predicted data. One sigma error for each item.	proprietary
 UTC_1990countyboundaries_Not provided	1990 County Boundaries of the United States	CEOS_EXTRA STAC Catalog	1972-01-01	1990-12-31	-177.1, 13.71, -61.48, 76.63	https://cmr.earthdata.nasa.gov/search/concepts/C2231550562-CEOS_EXTRA.umm_json	This data set portrays the 1990 State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands.  The data set was created by extracting county polygon features from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey.  These files were then merged into a single file and the boundaries were modified to what they were in 1990.  This is a revised version of the March 2000 data set.	proprietary
 UTC_TNgeologicmaps_Not provided	Geologic Maps of Tennessee	CEOS_EXTRA STAC Catalog	1966-01-01	1966-12-31	-90.31191, 34.983253, -81.64822, 36.679295	https://cmr.earthdata.nasa.gov/search/concepts/C2231549514-CEOS_EXTRA.umm_json	This data set is a digital representation of the printed 1:250,000 geologic maps from the Tennessee Department of Environment and Conservation, Division of Geology.  The coverage was designed primarily to provide a more detailed geologic base than the 1:2,500,000 King and Beikman (1974). 1:24,000 scale coverage of the state is available for about 40 percent of the state. Formation names and geologic unit codes used in the coverage are from the Tennessee Division of Geology published maps and may not conform to USGS nomenclature. The Tennessee Division of Geology can be contacted at (615) 532-1500.	proprietary
 UTC_TRIfacilities_Not provided	Facilities in the Toxic Release Inventory	CEOS_EXTRA STAC Catalog	1997-12-31		-127.61431, 23.24277, -65.505165, 51.523094	https://cmr.earthdata.nasa.gov/search/concepts/C2231553589-CEOS_EXTRA.umm_json	This data set is a subset of the U.S. Environmental Protection Agency (USEPA) Envirofacts point data set which includes facilities included in the the Toxic Release Inventory. Information on total pounds of volatile organic compounds released in 1995 (from USEPA's Toxic Release Inventory CD-ROM) has been included.  This data set is designed to locate or plot manufacturing facilities included in the Toxic Release Inventory and display or analysis of volatile organic compounds releases in pounds per year.  The following are the volatile organic compounds (VOC's) selected to calculate the total releases at each facility. Not all of these chemicals actually appear in the TRI data set, but this list was used to select releases to sum for each  facility.                CAS-ID      Chemical name > ----------  ---------------------------- >        1  630-20-6    1,1,1,2-Tetrachloroethane >        2  71-55-6     1,1,1-Trichloroethane >        3  79-34-5     1,1,2,2-Tetrachloroethane >        4  76-13-1     1,1,2-Trichloro-1,2,2-trifluoroethane >        5  79-00-5     1,1,2-Trichloroethane >        6  75-34-3     1,1-Dichloroethane >        7  75-35-4     1,1-Dichloroethene >        8  563-58-6    1,1-Dichloropropene >        9  87-61-6     1,2,3-Trichlorobenzene >       10  96-18-4     1,2,3-Trichloropropane >       11  120-82-1    1,2,4-Trichlorobenzene >       12  95-63-6     1,2,4-Trimethylbenzene >       13  96-12-8     1,2-Dibromo-3-chloropropane >       14  106-93-4    1,2-Dibromoethane >       15  95-50-1     1,2-Dichlorobenzene >       16  107-06-2    1,2-Dichloroethane >       17  78-87-5     1,2-Dichloropropane >       18  108-67-8    1,3,5-Trimethylbenzene >       19  541-73-1    1,3-Dichlorobenzene >       20  142-28-9    1,3-Dichloropropane >       21  106-46-7    1,4-Dichlorobenzene >       22  95-49-8     1-Chloro-2-methylbenzene >       23  106-43-4    1-Chloro-4-methylbenzene >       24  594-20-7    2,2-Dichloropropane >       25  71-43-2     Benzene >       26  108-86-1    Bromobenzene >       27  74-97-5     Bromochloromethane >       28  75-27-4     Bromodichloromethane >       29  74-83-9     Bromomethane >       30  108-90-7    Chlorobenzene >       31  75-00-3     Chloroethane >       32  75-01-4     Chloroethene >       33  74-87-3     Chloromethane >       34  124-48-1    Dibromochloromethane >       35  74-95-3     Dibromomethane >       36  75-71-8     Dichlorodifluoromethane >       37  75-09-2     Dichloromethane >       38  1330-20-7   Dimethylbenzenes >       39  100-42-5    Ethenylbenzene >       40  100-41-4    Ethylbenzene >       41  87-68-3     Hexachlorobutadiene >       42  98-82-8     Isopropylbenzene >       43  1634-04-4   Methyl tert-butyl ether >       44  108-88-3    Methylbenzene >       45  91-20-3     Naphthalene >       46  127-18-4    Tetrachloroethene >       47  56-23-5     Tetrachloromethane >       48  75-25-2     Tribromomethane >       49  79-01-6     Trichloroethene >       50  75-69-4     Trichlorofluoromethane >       51  67-66-3     Trichloromethane >       52  156-59-2    cis-1,2-Dichloroethene >       53  10061-01-5  cis-1,3-Dichloropropene >       54  104-51-8    n-Butylbenzene >       55  103-65-1    n-Propylbenzene >       56  99-87-6     p-Isopropyltoluene >       57  135-98-8    sec-Butylbenzene >       58  98-06-6     tert-Butylbenzene >       59  156-60-5    trans-1,2-Dichloroethene >       60  10061-02-6  trans-1,3-Dichloropropene  Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in ARC/INFO format, this metadata file may include some ARC/INFO-specific terminology.	proprietary
@@ -16257,34 +16746,75 @@ frazier_sgp_14dec2005_1	Census of southern giant petrel nesting areas on Frazier
 fuel_evaporation_1	Investigation of evaporation and biodegradation of fuel spills in Antarctica - a chemical approach using GC-FID	AU_AADC STAC Catalog	2003-11-01	2003-11-30	60, -70, 160, -53	https://cmr.earthdata.nasa.gov/search/concepts/C1214313454-AU_AADC.umm_json	Evaporation Model for hydrocarbon spills.    Developed by the Australian Antarctic Division to simulate fractionation of Special Antarctic Blend (SAB) and other diesel range fuels during evaporation.  Text version of notes for excel model, please read me.  This Package of files includes a pdf of the scientific paper, a readme word document and 3 excel files.  The purpose of the 3 excel files are as follows:  Excel File 1.   Evap Model_V1_single temperature.xls.   Evaporation predictions with a single sample at one temperature.  This file requires input of initial composition, composition after weathering and a single temperature.  Excel File 2.   Evap Model_V1_five temperatures.xls.  As above but with the input of 5 different temperatures.  Excel File 3.   Evap Model_development version, derivation of data and AAD examples.xls   This is an earlier development version of the numerical model. This file is intended to allow others to see how available Antoines equation parameters were originally fitted for use with other R+UCM regions.  This file includes a worksheet where the fitting parameters for Antoines eqn were calculated, a necessary task to be able to extrapolate to compounds for which explicit vapour pressure data are not available. The data input sheet has some differences to the singe temperature and five temperature model as the R+UCM regions are split up differently.  Also the assumptions about how the different classes of compound (i.e. the Aliphatic and aromatic classes) behave can be altered.   Some raw data from the AAD evaporation experiment is included and plotted.  The Temperature comparisons worksheet summarises how ratios of interest change and allows plotting of one ratio at different temperatures (see worksheet Figs 2 and 3).  Read me about background to this excel file Background Notes  This excel file estimates the relative evaporation rates of different hydrocarbons from a hydrocarbon mixture (i.e. a fuel).  In this excel file, a single temperature is considered for an evaporating hydrocarbon mixture.  The desired temperature and details about the hydrocarbon mixture are entered in the Main Input page.  The model was developed for use with the bulk fuels used by the Australian Antarctic Division at Casey, Davis, Mawson and Macquarie Island.  This fuel, Special Antarctic Blend (SAB) starts at C9.  As some of the spill sites undergoing remediation are mixed with heavier lube range hydrocarbons the options for inputs go to C36 - a typical maximum when Total Petroleum Hydrocarbon analysis is undertaken.  The model uses thermodynamic data where such data are available.  Estimated thermodynamic data are used for components when specific data are unavailable.  Other important information can be found in the sections listed below. References GC-FID data used in the model Temperature and Vapour pressure estimation Other corrections How the calculations are done Experimental data (that supports the approach taken in this excel file)  Read me about References Notes about the scientific publication that this model is reported in.  Paper can be obtained as a pdf file from the Australian Antarctic Data Centre.  The paper contains details on the evaporation experiments at +20 degrees C and -20 degrees C.  The results from the experiments agree well with the calculated fractionation rates that this Excel file produces.  Read me about GC-FID data for this model Notes about GC-FID data used in this excel model.  This model was set up to directly use GC-FID data outputs for each of the compounds of GC regions listed.  Consistent units are required for the areas of each measured region (and GC bias needs to be low across the range of fuel components).  Note that the summation of all the regions and compounds = total area identified in the chromatogram from C9 up to C36.  This range covers the observed range of components in SAB, Arctic Blend Diesel and lubes that may have been spilled in the same area.  Read me about temperature / vapour pressure estimation Notes about Temperature correction method  Raoults law and the Antoine equation are used to calculate the composition of the evaporating portion of the fuel mixture.  Vapour pressure data were obtained for a range of available hydrocarbons C9 and larger in the temperature ranges that covered the site temperature ranges, approx -20 degrees C to +20 degrees C.  The available data were mostly limited to n-alkanes.  This situation was exacerbated because other compounds of interest are solids at these temperatures when pure.  Consequently vapour pressure data are not available for these components in the liquid form at these temperatures.    The available n-alkane vapour pressure data were combined and a best fit of these data were determined as a function of effective Carbon Number (ECN).  This allowed the estimation of the vapour pressure of fuel components with ECN's between the n-alkane ECN's.  As a refinement each region of the chromatogram was split into 5 classes - 3 x aliphatic fractions and 2 x aromatic fractions.  The ECN used to estimate Vapour pressure of each class was slightly modified from the average retention time relative to an n-alkane.  This modification was carried out to correct for specific GC-column / compound interactions - interactions that increase from acyclic to cyclic to polycyclic to hindered aromatics [i.e. multiply alkylated] to unhindered aromatics. Examination of the evaporation behaviour of n-alkanes vs. the nearest ECN regions confirms the need for the correction with the calculated evaporation profiles better matching the observed profiles.  When an n-alkane's evaporation rate is compared to a GC region with distinctly different vapour pressures these corrections to ECN make little or no difference to the predicted selectivity during evaporation.  Read me about other corrections Notes about other corrections used in this model.  This model does not include systems that are under diffusional control (i.e. limited by diffusion of hydrocarbons within the soil / fuel mixture).  The assumptions in the model are for an evenly mixed liquid that is evaporating.  The experiment was set up to avoid this problem (by rotating the flasks).  Soil with evaporating fuels may well be affected by this and other problems.  Read me about how calculations are done Notes about how the calculation is done  The fuel is divided into a number of fuel classes and specific compounds are identified.  These classes are listed in the Main Input Page ready for use with the example data or other fuel data in the appropriate fuel range.  R+UCM stands for Resolved + Unresolved Complex Mix but needs to be calculated excluding the specifically identified compounds like n-alkanes.  Specifically identified compounds are excluded from the R+UCM so they are not double counted.  Mol fraction of each component is estimated.  For specific compounds an exact molecular mass is known.  For other R+UCM classes molecular mass is estimated from known compounds in that region.    Vapour pressure of the pure component or region is estimated with Antoines equation for the temperature required.  This pure vapour pressure estimate is combined with liquid phase mol fraction to calculate the gas phase composition at each evaporation step.  The evaporating portion (i.e. the gas phase portion) is removed from the liquid phase portion.  The Excel sheet is setup such that this subtraction accounts for approximately 1% of the initial fuel amount.  The need to calculated mol fractions then back-calculated mass remaining is the reason it is not exactly 1% by mass at each step.  To avoid numerical errors, division by zero errors and rounding errors many of the calculations contain and the IF formula.  When a fuel component is greater than 0 the mol fractions are calculated, otherwise a value of 0 is returned.  Read me about AAD experimental data Notes about AAD experiments that back up the model (a full description is in the scientific publication)  Small portions of Special Antarctic Blend (SAB) fuel were placed into vials. Each vial was placed into a +20 degrees C or -20 degrees C chamber. A slow stream of nitrogen passed into the top of each vial to remove the evaporating portion of the fuel.  The vials were slowly rotated to ensure even mixing of the residual fuel during rotation.  Periodically a vial was removed, weighed to calculate mass fuel evaporated, and analysed with GC-FID apparatus.  After a range of vials were analysed at different levels of evaporation at the 2 temperatures a data set was obtained to validate the numerical model.	proprietary
 fuel_load_755_1	SAFARI 2000 Modeled Fuel Load in Southern Africa, 1999-2000	ORNL_CLOUD STAC Catalog	1999-09-01	2000-08-31	5, -34.99, 42.49, 10	https://cmr.earthdata.nasa.gov/search/concepts/C2789031212-ORNL_CLOUD.umm_json	This data set contains global, spatially explicit (1 km2 grid cells) and temporally explicit (semi-monthly) modeled output of fuel loads over southern Africa. The fuel types considered in the data set are litter (dead tree leaves), dead grass, green grass, and small-diameter twigs. The Production Efficiency Model (PEM) was used to produce the estimated fuel loads for southern Africa for the 1999-2000 growing seasons.	proprietary
 full-content-of-wsl-fauna-database_1.0	Full content of WSL Fauna Database	ENVIDAT STAC Catalog	2023-01-01	2023-01-01	5.95587, 45.81802, 10.49203, 47.80838	https://cmr.earthdata.nasa.gov/search/concepts/C3226082225-ENVIDAT.umm_json	Complete extract of Fauna Database of WSL, containing all projects and all taxa. Meant as exchange and citation platform for sharing the data with the national data centre 'Centre Suisse de la Cartographie de la Fauna (CSCF)', and Info Fauna.	proprietary
+g3acld_003	SAGE III Meteor-3M L2 Monthly Cloud Presence Data (HDF-EOS) V003	LARC_CLOUD STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215264923-LARC_CLOUD.umm_json	A monthly data file coincident with solar event granules, that provides information about cloud presence during data capture of the granules	proprietary
 g3acld_003	SAGE III Meteor-3M L2 Monthly Cloud Presence Data (HDF-EOS) V003	LARC STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C182161244-LARC.umm_json	A monthly data file coincident with solar event granules, that provides information about cloud presence during data capture of the granules	proprietary
 g3acldb_003	SAGE III Meteor-3M L2 Monthly Cloud Presence Data (Native) V003	LARC STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C182161250-LARC.umm_json	A monthly data file coincident with solar event granules, that provides information about cloud presence during data capture of the granules	proprietary
+g3acldb_003	SAGE III Meteor-3M L2 Monthly Cloud Presence Data (Native) V003	LARC_CLOUD STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215264949-LARC_CLOUD.umm_json	A monthly data file coincident with solar event granules, that provides information about cloud presence during data capture of the granules	proprietary
 g3alsp_003	SAGE III Meteor-3M L2 Lunar Event Species Profiles (HDF-EOS) V003	LARC STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C184964538-LARC.umm_json	A Level 2 data file containing all the species products for a single lunar event	proprietary
+g3alsp_003	SAGE III Meteor-3M L2 Lunar Event Species Profiles (HDF-EOS) V003	LARC_CLOUD STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215260899-LARC_CLOUD.umm_json	A Level 2 data file containing all the species products for a single lunar event	proprietary
+g3alspb_003	SAGE III Meteor-3M L2 Lunar Event Species Profiles (Native) V003	LARC_CLOUD STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215260968-LARC_CLOUD.umm_json	A Level 2 data file containing all the species products for a single lunar event	proprietary
 g3alspb_003	SAGE III Meteor-3M L2 Lunar Event Species Profiles (Native) V003	LARC STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C184964539-LARC.umm_json	A Level 2 data file containing all the species products for a single lunar event	proprietary
 g3assp_004	SAGE III Meteor-3M L2 Solar Event Species Profiles (HDF-EOS) V004	LARC STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C184964542-LARC.umm_json	A Level 2 data file containing all the species products for a single solar event	proprietary
+g3assp_004	SAGE III Meteor-3M L2 Solar Event Species Profiles (HDF-EOS) V004	LARC_CLOUD STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215264962-LARC_CLOUD.umm_json	A Level 2 data file containing all the species products for a single solar event	proprietary
+g3asspb_004	SAGE III Meteor-3M L2 Solar Event Species Profiles (Native) V004	LARC_CLOUD STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215261129-LARC_CLOUD.umm_json	A Level 2 data file containing all the species products for a single solar event	proprietary
 g3asspb_004	SAGE III Meteor-3M L2 Solar Event Species Profiles (Native) V004	LARC STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C184964545-LARC.umm_json	A Level 2 data file containing all the species products for a single solar event	proprietary
+g3at_004	SAGE III Meteor-3M L1B Solar Event Transmission Data (HDF-EOS) V004	LARC_CLOUD STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215261216-LARC_CLOUD.umm_json	Level 1B pixel group transmission profiles for a single solar event	proprietary
 g3at_004	SAGE III Meteor-3M L1B Solar Event Transmission Data (HDF-EOS) V004	LARC STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C184964548-LARC.umm_json	Level 1B pixel group transmission profiles for a single solar event	proprietary
 g3atb_004	SAGE III Meteor-3M L1B Solar Event Transmission Data (Native) V004	LARC STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C184964551-LARC.umm_json	Level 1B pixel group transmission profiles for a single solar event	proprietary
+g3atb_004	SAGE III Meteor-3M L1B Solar Event Transmission Data (Native) V004	LARC_CLOUD STAC Catalog	2001-12-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3215261312-LARC_CLOUD.umm_json	Level 1B pixel group transmission profiles for a single solar event	proprietary
+g3baer_1	SAGE III/ISS L2 Monthly Aerosol Product (NetCDF) V001	LARC_CLOUD STAC Catalog	2017-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116795973-LARC_CLOUD.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.      g3baer_1 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Aerosol Product (NetCDF) V001 data product. It contains all of the aerosol data and flags for a month of solar events.      Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3baer_1	SAGE III/ISS L2 Monthly Aerosol Product (NetCDF) V001	LARC STAC Catalog	2017-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2800153738-LARC.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.      g3baer_1 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Aerosol Product (NetCDF) V001 data product. It contains all of the aerosol data and flags for a month of solar events.      Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3baer_11	SAGE III/ISS L2 Monthly Aerosol Product (NetCDF) V011	LARC STAC Catalog	2017-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3185740822-LARC.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.      g3baer_11 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Aerosol Product (NetCDF) V011 data product. It contains all of the aerosol data and flags for a month of solar events.      Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blmnc_52	SAGE III/ISS L2 Monthly Lunar Event Species Profiles (NetCDF) V052	LARC_CLOUD STAC Catalog	2017-05-31	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116796216-LARC_CLOUD.umm_json	g3blmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Lunar Event Species Profiles (NetCDF) V052 data product. It contains all the species products for a month of lunar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3blmnc_52	SAGE III/ISS L2 Monthly Lunar Event Species Profiles (NetCDF) V052	LARC STAC Catalog	2017-05-31	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205366222-LARC.umm_json	g3blmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Lunar Event Species Profiles (NetCDF) V052 data product. It contains all the species products for a month of lunar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3blmnc_53	SAGE III/ISS L2 Monthly Lunar Event Species Profiles (NetCDF) V053	LARC STAC Catalog	2017-05-30		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2626885268-LARC.umm_json	g3blmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Lunar Event Species Profiles (NetCDF) V053 data product. It contains all the species products for a month of lunar events.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blmnc_53	SAGE III/ISS L2 Monthly Lunar Event Species Profiles (NetCDF) V053	LARC_CLOUD STAC Catalog	2017-05-30		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116796107-LARC_CLOUD.umm_json	g3blmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Lunar Event Species Profiles (NetCDF) V053 data product. It contains all the species products for a month of lunar events.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blsp_051	SAGE III/ISS L2 Lunar Event Species Profiles (HDF-EOS) V051	LARC_CLOUD STAC Catalog	2017-03-17		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116796507-LARC_CLOUD.umm_json	SAGE III/ISS L2 Lunar Event Species Profiles (HDF-EOS) V5.1 is a Level 2 data file containing all the species products for a single lunar event. Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III-ISS) is the second instrument from the SAGE III project, externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blsp_5	SAGE III/ISS L2 Lunar Event Species Profiles (HDF-EOS) V005	LARC_CLOUD STAC Catalog	2017-06-01	2017-12-29	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116796623-LARC_CLOUD.umm_json	g3blsp_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF-EOS) Version 5 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blsp_52	SAGE III/ISS L2 Lunar Event Species Profiles (HDF5) V052	LARC_CLOUD STAC Catalog	2017-06-01	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116796373-LARC_CLOUD.umm_json	g3blsp_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF5) V052 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3blsp_52	SAGE III/ISS L2 Lunar Event Species Profiles (HDF5) V052	LARC STAC Catalog	2017-06-01	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2066317192-LARC.umm_json	g3blsp_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF5) V052 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blsp_53	SAGE III/ISS L2 Lunar Event Species Profiles (HDF5) V053	LARC_CLOUD STAC Catalog	2017-05-31		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116796310-LARC_CLOUD.umm_json	g3blsp_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF5) V053 data product. It contains all the species products for a single lunar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3blsp_53	SAGE III/ISS L2 Lunar Event Species Profiles (HDF5) V053	LARC STAC Catalog	2017-05-31		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2626885267-LARC.umm_json	g3blsp_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (HDF5) V053 data product. It contains all the species products for a single lunar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blspb_5	SAGE III/ISS L2 Lunar Event Species Profiles (Native) V005	LARC_CLOUD STAC Catalog	2017-06-01	2017-12-29	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116796958-LARC_CLOUD.umm_json	g3blspb_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) Version 5 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blspb_51	SAGE III/ISS L2 Lunar Event Species Profiles (Native) V051	LARC_CLOUD STAC Catalog	2017-06-01	2021-02-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116796803-LARC_CLOUD.umm_json	g3blspb_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V051 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3blspb_52	SAGE III/ISS L2 Lunar Event Species Profiles (Native) V052	LARC STAC Catalog	2017-06-01	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2066317191-LARC.umm_json	g3blspb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V052 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blspb_52	SAGE III/ISS L2 Lunar Event Species Profiles (Native) V052	LARC_CLOUD STAC Catalog	2017-06-01	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3165141710-LARC_CLOUD.umm_json	g3blspb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V052 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3blspb_53	SAGE III/ISS L2 Lunar Event Species Profiles (Native) V053	LARC_CLOUD STAC Catalog	2017-05-31		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116796709-LARC_CLOUD.umm_json	g3blspb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V053 data product. It contains all the species products for a single lunar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3blspb_53	SAGE III/ISS L2 Lunar Event Species Profiles (Native) V053	LARC STAC Catalog	2017-05-31		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2626885206-LARC.umm_json	g3blspb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V053 data product. It contains all the species products for a single lunar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3bsmnc_52	SAGE III/ISS L2 Monthly Solar Event Species Profiles (NetCDF) V052	LARC STAC Catalog	2017-05-31	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205366220-LARC.umm_json	g3bsmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Solar Event Species Profiles (NetCDF) V052 data product. It contains all of the species products for a month of solar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bsmnc_52	SAGE III/ISS L2 Monthly Solar Event Species Profiles (NetCDF) V052	LARC_CLOUD STAC Catalog	2017-05-31	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116797171-LARC_CLOUD.umm_json	g3bsmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Solar Event Species Profiles (NetCDF) V052 data product. It contains all of the species products for a month of solar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bsmnc_53	SAGE III/ISS L2 Monthly Solar Event Species Profiles (NetCDF) V053	LARC_CLOUD STAC Catalog	2017-05-31		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116797064-LARC_CLOUD.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bsmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Solar Event Species Profiles (NetCDF) V053 data product. It contains all of the species products for a month of solar events.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3bsmnc_53	SAGE III/ISS L2 Monthly Solar Event Species Profiles (NetCDF) V053	LARC STAC Catalog	2017-05-31		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2626885269-LARC.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bsmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Monthly Solar Event Species Profiles (NetCDF) V053 data product. It contains all of the species products for a month of solar events.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bssmc_52	SAGE III/ISS SSMC data file	LARC_CLOUD STAC Catalog	2017-06-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116797316-LARC_CLOUD.umm_json	g3bssmc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Raw SSMC data file. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bssmc_53	SAGE III/ISS, Raw Level 0 Data V053	LARC_CLOUD STAC Catalog	2017-03-17		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116797255-LARC_CLOUD.umm_json	SAGE III/ISS, Raw Level 0 Data V5.3 consists of Raw Level 0 data received from Mission Operations Center. Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III-ISS) is the second instrument from the SAGE III project, externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bssp_5	SAGE III/ISS L2 Solar Event Species Profiles (HDF-EOS) V005	LARC_CLOUD STAC Catalog	2017-06-07	2018-06-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116797970-LARC_CLOUD.umm_json	g3bssp_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF-EOS) Version 5 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bssp_51	SAGE III/ISS L2 Solar Event Species Profiles (HDF-EOS) V051	LARC_CLOUD STAC Catalog	2017-06-07	2021-02-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116797768-LARC_CLOUD.umm_json	g3bssp_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF-EOS) V051 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3bssp_52	SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V052	LARC STAC Catalog	2017-06-07	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2066317190-LARC.umm_json	g3bssp_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF5) V052 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bssp_52	SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V052	LARC_CLOUD STAC Catalog	2017-06-07	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116797577-LARC_CLOUD.umm_json	g3bssp_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF5) V052 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bssp_53	SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V053	LARC_CLOUD STAC Catalog	2017-06-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116797438-LARC_CLOUD.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.      g3bssp_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF5) V053 data product. It contains all the species products for a single solar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3bssp_53	SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V053	LARC STAC Catalog	2017-06-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2626885265-LARC.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.      g3bssp_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (HDF5) V053 data product. It contains all the species products for a single solar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bsspb_5	SAGE III/ISS L2 Solar Event Species Profiles (Native) V005	LARC_CLOUD STAC Catalog	2017-06-07	2018-06-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798257-LARC_CLOUD.umm_json	g3bsspb_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V051data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bsspb_51	SAGE III/ISS L2 Solar Event Species Profiles (Native) V051	LARC_CLOUD STAC Catalog	2017-06-07	2021-02-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798129-LARC_CLOUD.umm_json	g3bsspb_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V051 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bsspb_52	SAGE III/ISS L2 Solar Event Species Profiles (Native) V052	LARC_CLOUD STAC Catalog	2017-06-07	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3165141987-LARC_CLOUD.umm_json	g3bsspb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V052 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3bsspb_52	SAGE III/ISS L2 Solar Event Species Profiles (Native) V052	LARC STAC Catalog	2017-06-07	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2066317189-LARC.umm_json	g3bsspb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V052 data product. It contains all the species products for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bsspb_53	SAGE III/ISS L2 Solar Event Species Profiles (Native) V053	LARC_CLOUD STAC Catalog	2017-06-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798062-LARC_CLOUD.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bsspb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V053 data product. It contains all the species products for a single solar event.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3bsspb_53	SAGE III/ISS L2 Solar Event Species Profiles (Native) V053	LARC STAC Catalog	2017-06-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2626885214-LARC.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bsspb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Solar Event Species Profiles (Native) V053 data product. It contains all the species products for a single solar event.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bt_5	SAGE III/ISS L1B Solar Event Transmission Data (HDF-EOS) V005	LARC_CLOUD STAC Catalog	2017-06-07	2018-06-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798629-LARC_CLOUD.umm_json	g3bt_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (HDF-EOS) Version 5 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bt_51	SAGE III/ISS L1B Solar Event Transmission Data (HDF-EOS) V051	LARC_CLOUD STAC Catalog	2017-06-07	2021-02-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798532-LARC_CLOUD.umm_json	g3bt_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Lunar Event Species Profiles (HDF) V051 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bt_52	SAGE III/ISS L1B Solar Event Transmission Data (HDF5) V052	LARC_CLOUD STAC Catalog	2017-06-07	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798392-LARC_CLOUD.umm_json	g3bt_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Lunar Event Species Profiles (HDF5) V052 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3bt_52	SAGE III/ISS L1B Solar Event Transmission Data (HDF5) V052	LARC STAC Catalog	2017-06-07	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2066317194-LARC.umm_json	g3bt_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Lunar Event Species Profiles (HDF5) V052 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3bt_53	SAGE III/ISS L1B Solar Event Transmission Data (HDF5) V053	LARC STAC Catalog	2017-06-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2626885264-LARC.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bt_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (HDF5) V053 data product. It contains pixel group transmission profiles for a single solar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3bt_53	SAGE III/ISS L1B Solar Event Transmission Data (HDF5) V053	LARC_CLOUD STAC Catalog	2017-06-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798322-LARC_CLOUD.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3bt_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (HDF5) V053 data product. It contains pixel group transmission profiles for a single solar event.  Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3btb_5	SAGE III/ISS L1B Solar Event Transmission Data (Native) V005	LARC_CLOUD STAC Catalog	2017-06-07	2018-06-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798906-LARC_CLOUD.umm_json	g3btb_5 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) Version 5 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3btb_51	SAGE III/ISS L1B Solar Event Transmission Data (Native) V051	LARC_CLOUD STAC Catalog	2017-06-07	2021-02-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798843-LARC_CLOUD.umm_json	g3btb_51 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V051data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3btb_52	SAGE III/ISS L1B Solar Event Transmission Data (Native) V052	LARC STAC Catalog	2017-06-07	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2066317193-LARC.umm_json	g3btb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V052data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. Data collection for this product is ongoing.   This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3btb_52	SAGE III/ISS L1B Solar Event Transmission Data (Native) V052	LARC_CLOUD STAC Catalog	2017-06-07	2023-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798754-LARC_CLOUD.umm_json	g3btb_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V052data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. Data collection for this product is ongoing.   This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3btb_53	SAGE III/ISS L1B Solar Event Transmission Data (Native) V053	LARC STAC Catalog	2017-06-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2626885220-LARC.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3btb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V053 data product. It contains pixel group transmission profiles for a single solar event.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3btb_53	SAGE III/ISS L1B Solar Event Transmission Data (Native) V053	LARC_CLOUD STAC Catalog	2017-06-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798705-LARC_CLOUD.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3btb_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V053 data product. It contains pixel group transmission profiles for a single solar event.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3btmnc_52	SAGE III/ISS L1B Monthly Solar Event Transmission Data (NetCDF) V052	LARC STAC Catalog	2017-05-31	2023-01-31	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205366221-LARC.umm_json	g3btmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1 Monthly Solar Event Species Profiles (NetCDF) V052 data product. It contains pixel group transmission profiles for a month of solar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3btmnc_52	SAGE III/ISS L1B Monthly Solar Event Transmission Data (NetCDF) V052	LARC_CLOUD STAC Catalog	2017-05-31	2023-01-31	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116799019-LARC_CLOUD.umm_json	g3btmnc_52 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1 Monthly Solar Event Species Profiles (NetCDF) V052 data product. It contains pixel group transmission profiles for a month of solar events (the last day of each month is omitted) . SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 g3btmnc_53	SAGE III/ISS L1B Monthly Solar Event Transmission Data (NetCDF) V053	LARC STAC Catalog	2017-05-31		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2625163351-LARC.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3btmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1 Monthly Solar Event Species Profiles (NetCDF) V053 data product. It contains pixel group transmission profiles for a month of solar events.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
+g3btmnc_53	SAGE III/ISS L1B Monthly Solar Event Transmission Data (NetCDF) V053	LARC_CLOUD STAC Catalog	2017-05-31		180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3116798961-LARC_CLOUD.umm_json	Data quality notice: The SAGE III/ISS team recommends against using data from events 2024030913SS, 2024030915SS, and 2024030917SS. These events were affected by line-of-sight blockage from a docked spacecraft which undermined the data quality. Typically, such events are withheld by a quality assurance process.    g3btmnc_53 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1 Monthly Solar Event Species Profiles (NetCDF) V053 data product. It contains pixel group transmission profiles for a month of solar events.    Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, the Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS), the second instrument from the SAGE III project, is externally mounted on the International Space Station (ISS). This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth’s atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III/ISS includes other key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, nitrogen dioxide, nitrogen trioxide, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.	proprietary
 gap_filled_marconi_811_1	FLUXNET Marconi Conference Gap-Filled Flux and Meteorology Data, 1992-2000	ORNL_CLOUD STAC Catalog	1992-01-01	2000-12-31	-157.41, -2.61, 24.3, 70.47	https://cmr.earthdata.nasa.gov/search/concepts/C2776899492-ORNL_CLOUD.umm_json	Fluxes of carbon dioxide, water vapor, and energy exchange have been measured at 38 forest, grassland, and crop sites as part of the EUROFLUX and AmeriFlux projects. A total of 97 site-years of data were compiled, primarily between 1996 and 1998 but also for 1992-1995 and 1999-2000. Half-hour flux and meteorology measurements are included plus the gap-filled half-hour estimates and aggregations to day and night, weekly, monthly, and annual periods. The FLUXNET 2000 Synthesis Workshop was held at the Marconi Conference Center, Marshall, California, June 11-14, 2000. The Marconi Flux Data Collection was compiled to aid in exploring the interactions between the terrestrial biosphere and the overlying atmosphere through carbon, water, and energy exchanges. The workshop resulted in several studies to synthesize and interpret differences and similarities in long-term measurements of carbon dioxide, water vapor, and energy exchanges between vegetation and the atmosphere for a spectrum of ecosystems. A series of synthesis papers based on these data and studies was published in a special issue of the Agriculture and Forest Meteorology, Volume 113, 2002. The papers are listed in the reference section. This data product is being archived as a record of the data used the AFM special issue. Updates and revisions to the data are available at the FLUXNET web site.The eddy covariance technique is used for long-term continuous measurements of mass and energy fluxes to capture seasonal dynamics and allow for a meaningful scaling with respect to time. The equipment and methodology were standardized among sites by using common software and instrumentation. Comparisons of ecosystem fluxes among sites are usually performed on annual or monthly sums calculated on complete data records; however, the average site data coverage during a year was only 65%. Therefore, development and application of robust and consistent data gap-filling methods was required before fluxes could be calculated. One of the outcomes of the FLUXNET project was computer applications to process the data into complete, consistent, quality assured, and documented data sets (Falge et al. 2001a,b). Gap-filled flux data from four different filling methods are reported. Selected meteorological parameters were also gap filled to support flux estimating methods and are reported along with non-filled meteorological data. Note that the measured/estimated CO2 fluxes and storage fluxes were summed into net ecosystem exchange (NEE), and ONLY NEE data are reported. 	proprietary
 gaz_1	Australian Antarctic Gazetteer	AU_AADC STAC Catalog	1952-01-01		40, -90, 160, -53	https://cmr.earthdata.nasa.gov/search/concepts/C1214308588-AU_AADC.umm_json	The Australian Antarctic Gazetteer is maintained by the Australian Antarctic Data Centre  and the Secretary of the Australian Antarctic Division Place Names Committee. It contains information about names in the Australian Antarctic Territory and the Territory of Heard Island and McDonald Islands. Users can search by place name, region, feature type, latitude or longitude. Displayed information includes a descriptive narrative, and where available, an image, source information and altitude.  Users can download the whole gazetteer or their search results as a KML or CSV file.	proprietary
 gbif-range-r_0.2	gbif.range - An R package to generate species range maps based on ecoregions and a user-friendly GBIF wrapper	ENVIDAT STAC Catalog	2022-01-01	2022-01-01	180, -90, -180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3226082333-ENVIDAT.umm_json	Although species range may be obtained using expert maps or modeling methods, expert data is often species-limited and statistical models need more technical expertise as well as many species observations. When unavailable, such information may be extracted from the Global Biodiversity Information facility (GBIF), the largest public data repository inventorying georeferenced species observations worldwide. However, retrieving GBIF records at large scale may be tedious if users are unaware of specific tools and functions that need to be employed. Here we present *gbif.range*, an R library that contains automated methods to generate species range maps from scratch using in-house ecoregions shapefiles and an easy-to-use GBIF download wrapper. Finally, this library also offers a set of additional very useful parameters and functions for large GBIF datasets (generate doi, extract GBIF taxonomy, records filtering...). [gbif.range R project](https://github.com/8Ginette8/gbif.range)	proprietary