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Open Sustainable Technology

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.
https://github.com/eds-book/eds-book

Category: Sustainable Development
Sub Category: Education

Keywords

climate-change community-project data-science ecosystem-modeling environmental-monitoring

Last synced: about 21 hours ago
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A computational notebook community for open environmental data science 🌎

README.md

All Contributors

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/T001569/1 and EPSRC Grant EP/W006022/1, particularly the “AI for Science” theme within those grants & The Alan Turing Institute.
  • EPSRC Grant EP/Y028880/1, A national UK programme in AI and digital twins to address the biodiversity and climate crisis, particularly the “Foster an open international environmental data science community” workstream led by The Alan Turing Institute.

From July 2024, the project is unfunded and is being maintained by the community.

Credits

The individual notebooks repositories are hosted at the eds-book 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.

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.

Citation (CITATION.cff)

cff-version: 1.2.0
message: Please cite the following works when using this project.
abstract: >-
  Environmental Data Science book is a computational notebook community for open
  environmental data science.
title: Environmental Data Science book
authors:
  - names: EDS book community
identifiers:
  - description: >-
      The concept DOI for the collection containing all versions of the Citation
      File Format.
    type: doi
    value: 10.5281/zenodo.5918931
keywords:
  - scientific software practices
  - environmental informatics
  - reproducibility
  - transparent
  - collaboration
  - community
  - publication
license: MIT
license-url: https://opensource.org/license/MIT
repository: https://github.com/eds-book/eds-book
type: software
version: v0.3.5

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Dependencies

.github/workflows/build.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
  • peaceiris/actions-gh-pages v3.8.0 composite
.github/workflows/submodule.yml actions
  • CasperWA/push-protected v2 composite
  • actions/checkout v2 composite
book/environment.yml pypi
  • ghp-import *
  • jupyter-book ==0.12.3
  • sphinx_togglebutton *
book/requirements.txt pypi
  • ghp-import *
  • jupyter-book ==0.12.3
  • sphinx_togglebutton *

Score: -Infinity