Earth Data science

Learn to access, analyze, and visualize Earth data using Galaxy.

Requirements

Before diving into this topic, we recommend you to have a look at:

Material

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.

Introduction to Earth Data

Start here if you are new to Climate and Earth System Data in Galaxy

Lesson Slides Hands-on Recordings Input dataset Workflows
Introduction to climate data
Getting your hands-on climate data
Getting your hands-on earth data
earth-system ocean land atmosphere biodiversity
Ocean Data View (ODV)
earth-system ocean GIS netcdf
Visualize Climate data with Panoply netCDF viewer
interactive-tools

Analyzing Earth Data

Perform analysis on real-world datasets using powerful open tools like Argo and Xarray in Galaxy.

Lesson Slides Hands-on Recordings Input dataset Workflows
Analyse Argo data
earth-system ocean pangeo argo
Collaboration with JupyterGIS
interactive-tools GIS
Functionally Assembled Terrestrial Ecosystem Simulator (FATES)
interactive-tools
Nitrate DMQC for autonomous platforms such as Argo floats
earth-system ocean biogeochemical
Ocean's variables study
earth-system ocean netcdf data
Pangeo ecosystem 101 for everyone - Introduction to Xarray Galaxy Tools
pangeo
Sentinel 5P data visualisation
earth-system atmosphere volcano satellite data

Data Analysis for Coding Enthusiasts

For Coding Enthusiasts.

Lesson Slides Hands-on Recordings Input dataset Workflows
Functionally Assembled Terrestrial Ecosystem Simulator (FATES) with Galaxy Climate JupyterLab
interactive-tools
Pangeo Notebook in Galaxy - Introduction to Xarray
pangeo interactive-tools jupyter-notebook

Frequently Asked Questions

Common questions regarding this topic have been collected on a dedicated FAQ page . Common questions related to specific tutorials can be accessed from the tutorials themselves.

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Community Resources

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Editorial Board

This material is reviewed by our Editorial Board:

orcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoMarie Josse avatar Marie Josse

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Contributors

This material was contributed to by:

orcid logoBérénice Batut avatar Bérénice BatutVirginie Racape avatar Virginie Racapeorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoNate Coraor avatar Nate Coraororcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoMallory Freeberg avatar Mallory Freebergorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoMatthias Bernt avatar Matthias Berntorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoHelena Rasche avatar Helena Rascheorcid logoElifsu Filiz avatar Elifsu Filizorcid logoHui Tang avatar Hui Tangorcid logoMarie Josse avatar Marie Josseorcid logoMartin Čech avatar Martin Čechorcid logoTeresa Müller avatar Teresa Müllerorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoBjörn Grüning avatar Björn GrüningJean Iaquinta avatar Jean Iaquinta

Funding

These individuals or organisations provided funding support for the development of this resource

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Fair-Ease
FAIR-EASE is a RIA project funded under HORIZON-INFRA-2021-EOSC-01-04, and it involves a consortium of 25 partners from all over Europe.
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Gallantries
This project (2020-1-NL01-KA203-064717) is funded with the support of the Erasmus+ programme of the European Union. Their funding has supported a large number of tutorials within the GTN across a wide array of topics.
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EuroScienceGateway
EuroScienceGateway was funded by the European Union programme Horizon Europe (HORIZON-INFRA-2021-EOSC-01-04) under grant agreement number 101057388 and by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee grant number 10038963.