A living, open and community-driven online resource to showcase and increase the awareness of open-source tools for collaborative, reproducible and transparent Environmental Data Science.
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We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.
The project thanks the OLS-4 training programme team, cohort and in special, Delphine Lariviere Delphine-L (mentor) for all their valuable knowledge, discussions and feedback toward a common goal Open Science for All.
This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.
We also acknowledge the template of README and community-handbook guide, in particular the coworking section provided by the Turing Way project.