update README.md

README.md

@@ -36,7 +36,7 @@ We recommend installing a Python distribution like [miniforge][miniforge] or [An
 - open a terminal (on Windows Powershell prompt)
 
 ```
-conda create -n pg -c gimli -c conda-forge pygimli=1.4.6 jupyter
+conda create -n pg -c gimli -c conda-forge pygimli=1.5 jupyter
 ```
 
 or download the file https://github.com/gimli-org/SEGwebinar/environment.yml
@@ -57,11 +57,8 @@ jupyter notebook
 1. Login to [colab][colab] using your Google account.
 2. Open new Notebook and choose the GitHub option
 3. Paste the [webinar] URL https://github.com/gimli-org/SEGwebinar
-4. Select the template notebook or any ready one
-
-## Acknowledgement
-
-The used data have been measured by xxx.
+4. Select the template or full notebook
+5. Create your own notebook, starting with `!pip install pygimli`
 
 ## License
 
@@ -72,17 +69,19 @@ This work is licensed under the [Apache 2.0 License](https://www.apache.org/lice
 * [pyGIMLi tutorial][transform2021] given on Transform 2021 (with 2h Youtube tutorial)
 * [pyGIMLi tutorial][transform2022] given on Transform 2022 (with 2h Youtube tutorial)
 * Jupyter [Notebook collection][notebooks] using pyGIMLi
+* Collection of [Example data][exampledata] used here and on [website][pygimli]
 
 ## References
 * Rücker, C., Günther, T., Wagner, F.M. (2017): pyGIMLi: An open-source library for modelling and inversion in geophysics, Computers & Geosciences 109, 106-123, [doi:10.1016/j.cageo.2017.07.011](https://doi.org/10.1016/j.cageo.2017.07.011).
-* Wunderlich, T., Fischer, P., Wilken, D., Hadler, H., Erkul, E., Mecking, R., Günther, T., Heinzelmann, M., Vött, A. & Rabbel, W. (2018): Constraining Electric Resistivity Tomography by Direct Push Electric Conductivity logs and vibracores: An exemplary study of the Fiume Morto silted riverbed (Ostia Antica, Western Italy). Geophysics 83(3), B87-B103, [doi:10.1190/geo2016-0660.1](https://doi.org/10.1190/geo2016-0660.1).
+* Hübner, R., Heller, K., Günther, T. & Kleber, A. (2015): Monitoring hillslope moisture dynamics with sur- face ERT for enhancing spatial significance of hydrometric point measurements. Hydrology and Earth System Sciences 19(1), 225-240, [doi:10.5194/hess-19-225-2015](https://doi.org/10.5194/hess-19-225-2015).
 * Jordi, C., Doetsch, J., Günther, T., Schmelzbach, C. & Robertsson, J.O.A. (2018): Geostatistical regularisation operators for geophysical inverse problems on irregular meshes. Geophysical Journal International 213, 1374-1386, [doi:10.1093/gji/ggy055](https://doi.org/10.1093/gji/ggy055).
+* Grünenbaum, N., Günther, T., Greskowiak, J., Vienken, T., Müller-Petke, M. & Massmann, G. (2023): Salinity distribution in the subterranean estuary of a meso-tidal high-energy beach characterized by Electrical Resistivity Tomography and Direct Push technology. J. of Hydrol. 617, 129074, [doi:10.1016/j.jhydrol.2023.129074](https://doi.org/10.1016/j.jhydrol.2023.129074).
+* Wunderlich, T., Fischer, P., Wilken, D., Hadler, H., Erkul, E., Mecking, R., Günther, T., Heinzelmann, M., Vött, A. & Rabbel, W. (2018): Constraining Electric Resistivity Tomography by Direct Push Electric Conductivity logs and vibracores: An exemplary study of the Fiume Morto silted riverbed (Ostia Antica, Western Italy). Geophysics 83(3), B87-B103, [doi:10.1190/geo2016-0660.1](https://doi.org/10.1190/geo2016-0660.1).
 * Wagner, F.M., Mollaret, C., Günther, T., Kemna, A., Hauck, A. (2019): Quantitative imaging of water, ice, and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data. Geophys. J. Int. 219, 1866-1875. [doi:10.1093/gji/ggz402](https://doi.org/10.1093/gji/ggz402).
 * Ronczka, M., Günther, T., Grinat, M. & Wiederhold, H. (2020): Monitoring freshwater-saltwater interfaces with SAMOS - installation effects on data and inversion. Near Surf. Geophys. 18(4), 369-383, [doi:10.1002/nsg.12115](https://doi.org/10.1002/nsg.12115).
 * Jiang, C., Igel, J., Dlugosch, R., Müller-Petke, M., Günther, T., Helms, J., Lang, J. & Winsemann (2020): Magnetic resonance tomography constrained by ground-penetrating radar for improved hydrogeophysical characterisation, Geophysics 85(6), JM13-JM26, [doi:10.1190/geo2020-0052.1](https://doi.org/10.1190/geo2020-0052.1).
 * Skibbe, N., Günther, T. & Müller-Petke, M. (2021): Improved hydrogeophysical imaging by structural coupling of two-dimensional magnetic resonance and electrical resistivity tomography. Geophysics 86 (5), WB135-WB146, [doi:10.1190/geo2020-0593.1](https://doi.org/10.1190/geo2020-0593.1).
 * Rochlitz, R., Becken, M. & Günther, T. (2023): Three-dimensional inversion of semi-airborne electromagnetic data with a second-order finite-element forward solver. Geophys. J. Int. 234(1), 528-545, [doi:10.1093/gji/ggad056](https://doi.org/10.1093/gji/ggad056).
-* Grünenbaum, N., Günther, T., Greskowiak, J., Vienken, T., Müller-Petke, M. & Massmann, G. (2023): Salinity distribution in the subterranean estuary of a meso-tidal high-energy beach characterized by Electrical Resistivity Tomography and Direct Push technology. J. of Hydrol. 617, 129074, [doi:10.1016/j.jhydrol.2023.129074](https://doi.org/10.1016/j.jhydrol.2023.129074).
 
 [florian]: https://www.gim.rwth-aachen.de/
 [halbmy]: https://www.liag-hannover.de/
@@ -91,6 +90,7 @@ This work is licensed under the [Apache 2.0 License](https://www.apache.org/lice
 [gimli]: https://github.com/gimli-org/gimli
 [webinar]: https://github.com/gimli-org/SEGwebinar
 [notebooks]: https://github.com/gimli-org/notebooks
+[exampledata]: https://github.com/gimli-org/example-data
 [transform2021]: https://github.com/gimli-org/transform2021
 [transform2022]: https://github.com/gimli-org/transform2022
 [jupyter]: https://jupyter.org/