diff --git a/content/resources-for-data-assembly.md b/content/resources-for-data-assembly.md
index fb75d7c..3442285 100644
--- a/content/resources-for-data-assembly.md
+++ b/content/resources-for-data-assembly.md
@@ -5,16 +5,17 @@ nav_order: 1
 parent: Assembling Resources
 ---
 
-# Assembling your Data
+# Assembling your data
+{: .no_toc}
 
-It's now time to assemble your data. Take a moment to inventory what you have, as well as what you'll need by returning once more to initial project design questions (see worksheet):
+It's now time to assemble your data. Take a moment to inventory what you have, as well as what you'll need by returning once more to the initial project design questions as outlined by your worksheet:
 
 > - What data do you have? What data will you need?
 
 > - Whose data is it? Are there any special permissions you need to obtain or access restrictions to be aware of? Note where you are storing your data, any associated licences/attributions, and ensure everyone who needs access has it.
 
 > - What format is your data in (e.g. excel document, csv, text, image, geospatial file such as shapefile or .geoJSON, historical map…)? Is your data in current format legible to the software you intend to use? If not, do you need to convert any of it into a different format?
-	>> As you work through choosing an appropriate software, it will become clearer whether or not your data's current form is legible to the software you intend to use. There are often ways to convert data between formats. [FME](https://fme.safe.com/) is a good interoperability resource for more complex workflows, and they are generous with free student licenses. 
+	>> As you work through choosing an appropriate software, it will become clearer whether or not your data's current form is legible to the software you intend to use. There are often ways to convert data between formats. For example, many geospatial formats can be converted from one to another in a GIS. [FME](https://fme.safe.com/) is a useful interoperability resource for more complex workflows, and they are generous with free student licenses. 
 
 > - What aspect of your data is spatial? In other words, what is the location/geographical attribute? For example, is it a column of street address? The names of cities? Coordinate pairs?...
 <!-- are there any location based attributes?
@@ -23,47 +24,51 @@ It's now time to assemble your data. Take a moment to inventory what you have, a
 
 > - Do you have physical or historical maps as part of your project? Do you need to scan them? If you're planning on using them in any way other than as decorative/informative archival images, you'll want to look into georeferencing. 
 
-Below are some resources for finding more data or creating your own. disclaimers??
+Below are some resources for finding more data or creating your own. 
 
+<details open markdown="block">
+  <summary>
+    On this page:
+  </summary>
+  {: .text-delta }
+ - TOC
+{:toc}
+</details>
 ----
 
-## Resources for assembling data 
-The data you’ll need depends on your mapping objectives. Maybe you already have data. Maybe you want to create a reference map and all you need is contextual information and the ability to add some labels and markers. Perhaps your research lab is collecting and processing the data for you. Whether your area of interest is local or global, whether your final map will be static, interactive, or simply the results of some spatial analysis… these factors will influence where you look for data. Municipal and federal data repositories are a good place to begin looking for geospatial data. If you have access to a data repository, either through a group you’re working with/for or institutional library for example, reaching out to whoever coordinates on the matter can be useful. You can also begin with a web search and see what is returned. Lastly, in some cases you can make your own data. This is particularly true if you only need a reference point or simple boundary outline. 
+## Considerations for assembling data
+The data you’ll need depends on your mapping objectives. Maybe you already have data. Maybe you want to create a reference map and all you need is contextual information and the ability to add some labels and markers. Perhaps your research lab is collecting and processing the data for you. Whether your area of interest is local or global, whether your final map will be static, interactive, or simply the results of some spatial analysis… these factors will influence where you look for data. Municipal and federal data repositories are a good place to begin looking for geospatial reference data. If you have access to a data repository, either through a group you’re working with/for or institutional library for example, reaching out to whoever coordinates on the matter can be useful. You can also begin with a web search and see what is returned. Lastly, in some cases you can make your own data. This is particularly true if you only need a reference point or simple boundary outline. [Terrastories](https://terrastories.app/) and [Digital Democracy](https://www.digital-democracy.org/mapeo) are two great resources for collecting place-based data on the go. 
 
-
-## Considerations
 Whether you’re performing spatial analysis or making maps for yourself or a client, its important to keep a record of your data sources as you work. You’ll figure out a system that make sense to you. Trial and error a few times. However, The following considerations are useful to note somewhere like a document or notes file as you go.
 
-```
-- What is the dataset of and where did you download it from (save a link)
-- What is the downloaded file called? Where is it stored on your computer/external storage device?
-- Is there a visual data preview such as an interactive web map?
-- What attributes are included in the dataset? 
-- Who is the dataset published by and is there a contact for questions? 
-- What is the dataset's license?
-- When was it last updated?
-- What formats can the dataset be downloaded in? 
-- What projections can the dataset be downloaded in?
-```
+> - What is the dataset of and where did you download it from (save a link)
+> - What is the downloaded file called? Where is it stored on your computer/external storage device?
+> - Is there a visual data preview such as an interactive web map?
+> - What attributes are included in the dataset? 
+> - Who is the dataset published by and is there a contact for questions? 
+> - What is the dataset's license?
+> - When was it last updated?
+> - What formats can the dataset be downloaded in? 
+> - What projections can the dataset be downloaded in?
+
 
 
-## Finding [Geospatial data](https://ubc-library-rc.github.io/gis-intro-qgis/content/geospatial-data.html)
+## Geospatial data
+A Geographic Information System (GIS) works with data that is tied to a location on Earth. This type of data is often referred to as GIS data, or *geospatial data*, and is spatially referenced to Earth using location information — most commonly geographic coordinates. A GIS uses this location information to project a geospatial file into a virtual geographic space where it can then be visualized and analyzed.
 
-Explore UBC Library's compendium of data sources for Canada and the world [HERE](https://guides.library.ubc.ca/gis/datasources)
+[Geospatial data](https://researchguides.library.yorku.ca/c.php?g=679467&p=4793119) is often referred to as having two main types: **raster** and **vector**. These two data types, while both geospatial, are very different from one another. **Raster data** is data which is made up of pixels arranged in a grid, whereas vector data is made up of vertices and the paths between them – creating geometries that represent real-world features or phenomena. If you're working with satellite imagery, landuse/landcover data, or climatic data, it's likely raster. If you're working with points, lines, or polygons, that's likely vector data. 
 
-    
-https://www.maptiler.com/data/
 
-https://openmaptiles.org/docs/style/maputnik/
+## Finding geospatial data
 
-https://stadiamaps.com/
-put also in web reseources 
 
 
-## Vector Data
+### Vector Data
+{: .no_toc}
 ### Municipal and Provincial Data 
+{: .no_toc}
 - [BC Data](https://catalogue.data.gov.bc.ca/)
-- [Administrative and Statistical Boundaries 2021 (e.g., provinces, census divisions, dissemination areas)](https://www12.statcan.gc.ca/census-recensement/2021/geo/sip-pis/boundary-limites/index2021-eng.cfm?year=21)
+- [Administrative and Statistical Boundaries 2021 ](https://www12.statcan.gc.ca/census-recensement/2021/geo/sip-pis/boundary-limites/index2021-eng.cfm?year=21)(e.g., provinces, census divisions, dissemination areas)
 - [City of Vancouver open data portal](https://opendata.vancouver.ca/pages/home/)
 - [Metro Vancouver open data portal](https://open-data-portal-metrovancouver.hub.arcgis.com/)
 - [Burnaby open data portal](https://data.burnaby.ca/)
@@ -75,10 +80,12 @@ put also in web reseources
 - [Calgary](https://data.calgary.ca/) 
 
 ### Global Census Data 
+{: .no_toc}
 - [World urbanization](https://population.un.org/wup/DataQuery/)
 - [World demographics](https://population.un.org/dataportal/home?df=d7cac223-d504-404f-807a-03d475ad6c63)
 
 ### Global Boundary Files
+{: .no_toc}
 - [Natural Earth data](https://www.naturalearthdata.com/downloads/) 
 - [USA TIGER line shapefiles](https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html)
 - [Earthworks Stanford](https://earthworks.stanford.edu/)
@@ -86,6 +93,7 @@ put also in web reseources
 
 
 ### Street Network Examples
+{: .no_toc}
 - [OSM Street Network](https://www.openstreetmap.org/#map=11/49.2465/-123.0908&layers=H) (see [downloading OSM data in QGIS](./osm-downloader.md))
 - [canada road network file](https://www12.statcan.gc.ca/census-recensement/2021/geo/sip-pis/rnf-frr/index2021-eng.cfm?year=21)
 - [USA Primary Roads](https://catalog.data.gov/dataset/tiger-line-shapefile-2019-nation-u-s-primary-roads-national-shapefile)
@@ -93,20 +101,23 @@ put also in web reseources
 - [EU Major Road Network](https://data.europa.eu/data/datasets/major-road-network?locale=en)
 
 ### Climate, Landcover, and Satellite Imagery
+{: .no_toc}
+- If you are a member of UBC, you have access to imagery from [Planet.com](https://www.planet.com/). See [here](https://researchcommons.library.ubc.ca/planet-imagery/) for more information and instructions on requesting a free account. 
+- QGIS [SRTM downloader](https://plugins.qgis.org/plugins/SRTM-Downloader/) plugin
+- You can also [add a basemap](https://ubc-library-rc.github.io/gis-tools-workflows/content/add-basemap.html) to a GIS project, allowing you to access decent quality satellite imagery for research and noncommercial purposes.
 - [World Climate Data](https://www.worldclim.org/)
 - [World Land Cover](https://data.apps.fao.org/catalog/iso/8cf69f76-1be0-4339-a0b0-18a93c7f4760)
 - [World Land Cover (2)](https://viewer.esa-worldcover.org/worldcover/)
-- [Places to download free sattelite imagery](https://gisgeography.com/free-satellite-imagery-data-list/)
+- [Places to download free satellite imagery](https://gisgeography.com/free-satellite-imagery-data-list/)
 - [Canada Land Cover](https://natural-resources.canada.ca/maps-tools-publications/satellite-imagery-air-photos/application-development/land-cover/21755)
 - [Canada DEM](https://open.canada.ca/data/en/dataset/957782bf-847c-4644-a757-e383c0057995)
 - [BC Lidar](https://lidar.gov.bc.ca/pages/download-discovery)
 
-<br>
 ----
 
-#### Resources to Learn more about Geospatial Data
+#### Learn more about Geospatial Data
+<!-- - Explore UBC Library's compendium of data sources for Canada and the world [HERE](https://guides.library.ubc.ca/gis/datasources) -->
 - [Koerner Library Data Source Guide](https://guides.library.ubc.ca/gis/datasources)
-- [gis.ubc.ca/data/](https://gis.ubc.ca/data/)
-- [What is geospatial data?](https://ubc-library-rc.github.io/gis-intro-qgis/content/geospatial-data.html)
+- Also checkout UBC's GIS specific data page at [gis.ubc.ca/data/](https://gis.ubc.ca/data/)
 - [More than you ever wanted to know about GeoJSON - Tom MacWright](https://macwright.org/2015/03/23/geojson-second-bite.html)  
 	
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