The Environmental Data Science book
A living, open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science.
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Contributors
We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.
Acknowledgment
This work was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/W006022/1, particularly the Environment & Sustainability theme within that grant & The Alan Turing Institute.
The project also 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.
Credits
This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.
The individual notebooks repositories are hosted at the eds-book-gallery organisation.
The How to run section in the README of each notebook repository is adapted from the Project Pythia Cookbook project.
The workflow actions to generate the rendered version of notebooks were adapted from 2i2c’s hub-user-image-template released under BSD-3-Clause license.
We also acknowledge the template of README, LICENSE and PULL_REQUEST_TEMPLATE provided by the Turing Way project.
Other templates adapted include the review checklist/criteria templates provided by Turing Data Stories and SciPy Proceedings.