Environmental Data Science Book (EDS Book)

PhD Connect 2024

Thursday 21 Nov 2024 - Friday 22 Nov 2024

Time: 09:00 - 18:00

Introduction

The combination of computing and environmental science with open science principles is widely gaining recognition worldwide. Open science aims to make scientific research and its dissemination accessible to all levels of society to promote knowledge co-creation through collaborative networks. To advance in such a strategic direction, the EDS book project has conceived a community-led online resource facilitating the co-creation of computational notebooks to showcase and support the publication of data, methods and open-source tools for collaborative, reusable and transparent environmental science.

EDS book facilitates the co-creation of computational notebooks in environmental data science. Illustration by Scriberia for The Turing Way community. Used under the CC-BY 4.0 License. DOI: 10.5281/zenodo.7587336. — *EDS book facilitates the co-creation of computational notebooks in environmental data science. Illustration by Scriberia for The Turing Way community. Used under the CC-BY 4.0 License. DOI:* *10.5281/zenodo.7587336*.

Project aims

Building upon existing global open science communities such as the Turing Way and Pangeo, EDS book aims to educate and leverage good scientific software and data management practices among environmental scientists through peer-reviewed findable, accessible, interoperable and reusable (FAIR) computational notebooks.

Our vision is that environmental scientists work collaboratively to demonstrate and communicate their science through FAIR computational notebooks and gain significant skills to publish in notebook-based scholarly publication systems.

EDS book maximises open infrastructure services provided by GitHub, Jupyter/Binder communities and others e.g. ReviewNB and RoHub to curate, review, test and share notebooks and related digital artefacts (inputs, outputs, computational environments, among others).

Recent updates

April 2023-March 2024: EDS book is one of the selected scale-up projects within the initial UKRI-funded year of the Environment and Sustainability Grand Challenge.
May 2023: EDS book hosted a Reproducibility Challenge in partnership with the Climate Informatics community and Cambridge University Press and Assessment.
April 2023: Launch of a new infrastructure (version 0.1.0) which included a gallery to facilitate the discovery of notebooks and improved guidelines for publishing.
January 2022: EDS book version 0.0.1 was released and all published notebooks were promoted on a monthly basis through the project’s social media.
November 2021: EDS book minimum viable prototype was validated through the Open Life Science Programme (cohort-4)
June 2021-November 2021: EDS book early prototype (formerly known as the Environmental AI book) was designed and tested among researchers of the ASG-funded Environmental Sensors project.

Overview of resources

Read the book online: https://edsbook.org
Explore the GitHub repository
Follow us in Twitter or Mastodon

Gallery


	Learning the underlying physics of a simulation model of the ocean’s temperature Reproduction of the paper “A sensitivity analysis of a regression model of ocean temperature” authored by Furner et al (2022).
	Exploring Land Cover Data Introduce manipulation and exploratory analysis of classified land cover data.
	Sea ice forecasting using IceNet Demonstrate the IceNet, a deep learning sea ice forecasting system trained using climate simulations and observational data.
	Detecting floating objects using deep learning and Sentinel-2 imagery Explore the use of a deep learning-based segmentation model to detect and delineate floating targets on Sentinel-2 coastal scenes.

You can find all other notebooks in the EDS book gallery here.

Selected publications

Selected talks

Visit recordings of other talks in the Youtube channel.

Community support and collaborations

The EDS book community shares the values and principles of open movements. We particularly support individuals and communities interested in collaborative, reusable and transparent environmental science. Thanks to the open-source nature of the project, we welcome questions, comments and contributions via the GitHub repository.

We have collaborated with the Turing Way and Pangeo communities to document and co-host spaces for sharing good practices in data science (see the section of selected talks and publications). In the long term, the EDS book project will become a central (and extendible) technology, resource and community platform for connecting members working across the Turing Environment & Sustainability Grand Challenge missions with the global environmental data science community, and vice versa.