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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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 🖋

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.

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.