
EDS Book¶
- A digital resource
- A community
- A global collaboration
Here you will find:
- Reproducible pipelines to analyse environmental data
- Innovative research in Environmental Data Science
- Open-source tools for modelling environmental data
Want to be a part of EDS Book?¶
Contributions¶
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
For our notebooks, you can contribute[1] as an authors, editor, editor-in-chief, reviewer, or simply a community member.
Read our Contributor’s Guide for further details on other types of contributions and our Code of Conduct for expected and unacceptable behaviours.
Getting Started¶
Here’s some useful information to get you started:
Our notebooks¶
We have a wide diversity of executable notebooks, all of them following FAIR principles for research software (FAIR4RS) Barker et al. (2022). Visit our Gallery to access and navigate our community-led published notebooks.



Our contributors¶
We value the participation of every member of our community and want to ensure that every contributor has an enjoyable, learning and fulfilling experience.

Here’s what some of our contributors say:
“I had a great experience working on an EDS notebook. There was a learning curve but it helped me gain exposure to different technologies along with other people’s work in Environmental Science. I hope to make far reaching impact through this work”
Timothy Lam, Author
“Contributing to the EDS book has been an extremely valuable and enjoyable experience for me, giving me an insight into how open-source software development and code/book authorship can work within a more traditional scientific peer-review framework. Gaining this hands-on experience whilst learning about interesting environmental science applications has been one of the highlights of my PhD studies.”
Nick Homer, Reviewer
EDS Book notebooks are free under an OSI-approved MIT license.
- Barker, M., Chue Hong, N. P., Katz, D. S., Lamprecht, A.-L., Martinez-Ortiz, C., Psomopoulos, F., Harrow, J., Castro, L. J., Gruenpeter, M., Martinez, P. A., & Honeyman, T. (2022). Introducing the FAIR Principles for research software. Scientific Data, 9(1), 622. 10.1038/s41597-022-01710-x