/environmental-ds-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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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.


Alejandro ©

📖 👀 🚧 📆 📋 💬 📢

Anne Fouilloux

🤔

Delphine Lariviere

🤔

Doran Khamis

👀

Kirstie Whitaker

🤔

Matt Allen

👀

Matt Fry

👀

NHomer-Edi

🖋

Raquel Carmo

📝 💻

Samuel Jackson

📝 💻

Sarah Gibson

🤔

Scott Hosking

🤔

Tom Andersson

👀

jmifdal

📝 💻

shmh40

📝 💻

svadams

📝 💻

timo0thy

🖋

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.

We also acknowledge the template of README, LICENSE and community-handbook guide, in particular the coworking section, provided by the Turing Way project.