8. Exploring Research Data Repositories with geoextent.


This notebook presents geoextent, a Python library for reliably extracting the geospatial and temporal extents of files, directories, and repository records.


To run the showcase notebook, install JupyterLab or the classic Jupyter Notebook and then start a local server as shown below. If your IDE has support for the Jupyter format, installing ipykernel might be enough. We recommend running the below commands in a virtual environment as described here. The notebook must be trusted.

cd showcase
pip install -r requirements.txt
pip install -r showcase/requirements.txt
pip install -e .

jupyter trust showcase/SG_01_Exploring_Research_Data_Repositories_with_geoextent.ipynb
jupyter lab

Then open the local Jupyter Notebook server using the displayed link and open the notebook (*.ipynb files) in the showcase/ directory. Consult the documentation on paired notebooks based on Jupytext before editing selected notebooks.

How to cite

Garzón, Sebastian and Nüst, Daniel, 2021. Exploring Research Data Repositories with geoextent.


geoextent is licensed under MIT license, see file LICENSE.

This project is developed as part of the DFG-funded research project Opening Reproducible Research (o2r, https://o2r.info) under project number PE 1632/17-1.

Copyright (C) 2021 - o2r project.