Climate JupyterLab as an interactive tool in Galaxy
Lightning talk given at JupyterCon 2020 (online event). By deploying JupyterLab with PANGEO, CESM and ESMValTool conda environments as a new Climate Galaxy interactive tool, we are aiming at bridging the gap between climate scientists and non-climate specialists. Galaxy is an open, web-based platfor...
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ftdatacite:10.5281/zenodo.4543739 2023-05-15T12:59:49+02:00 Climate JupyterLab as an interactive tool in Galaxy Fouilloux, Anne Tang, Hui Lieungh, Eva Geange, Sonya R Horvath, Peter Bryn, Anders 2020 https://dx.doi.org/10.5281/zenodo.4543739 https://zenodo.org/record/4543739 en eng Zenodo https://zenodo.org/communities/neic https://dx.doi.org/10.5281/zenodo.4543738 https://zenodo.org/communities/neic Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY climate jupyterlab galaxy eosc eosc-nordic MediaObject article Audiovisual 2020 ftdatacite https://doi.org/10.5281/zenodo.4543739 https://doi.org/10.5281/zenodo.4543738 2021-11-05T12:55:41Z Lightning talk given at JupyterCon 2020 (online event). By deploying JupyterLab with PANGEO, CESM and ESMValTool conda environments as a new Climate Galaxy interactive tool, we are aiming at bridging the gap between climate scientists and non-climate specialists. Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational research. One of the strength of Galaxy is that it does not require programming experience and allow researchers to easily upload data, run complex tools and workflows in a reproducible manner, and visualize results. Galaxy Climate is quite new and aims at offering tools to everyone interested in Climate Science so that they can analyse and visualize climate data produced by climate scientists. However, climate scientists and in particular climate modellers have very different working practices: they often like to use command lines for running climate models and thanks to the PANGEO community (a community platform for Big Data geoscience) the Jupyter ecosystem has become very popular with several deployments of JupyterHubs dedicated to climate data analysis. By deploying JupyterLab with PANGEO, CESM and ESMValTool conda environments as a new Climate Galaxy interactive tool (https://live.usegalaxy.eu/?tool_id=interactive_tool_climate_notebook), we are aiming at bridging the gap between climate scientists and non-climate specialists. On this poster, we will show typical use cases both for research (https://nordicesmhub.github.io/eosc-nordic-climate-demonstrator/02-use-cases/) and for teaching (https://nordicesmhub.github.io/NEGI-Abisko-2019/intro). This work is funded by EOSC-Nordic, a European project to foster & advance the take-up of the European Open Science Cloud in the Nordic and Baltic countries. Github: https://github.com/NordicESMhub/docker-climate-notebook : The EOSC-Nordic project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857652. Article in Journal/Newspaper Abisko DataCite Metadata Store (German National Library of Science and Technology) Abisko ENVELOPE(18.829,18.829,68.349,68.349) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
climate jupyterlab galaxy eosc eosc-nordic |
spellingShingle |
climate jupyterlab galaxy eosc eosc-nordic Fouilloux, Anne Tang, Hui Lieungh, Eva Geange, Sonya R Horvath, Peter Bryn, Anders Climate JupyterLab as an interactive tool in Galaxy |
topic_facet |
climate jupyterlab galaxy eosc eosc-nordic |
description |
Lightning talk given at JupyterCon 2020 (online event). By deploying JupyterLab with PANGEO, CESM and ESMValTool conda environments as a new Climate Galaxy interactive tool, we are aiming at bridging the gap between climate scientists and non-climate specialists. Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational research. One of the strength of Galaxy is that it does not require programming experience and allow researchers to easily upload data, run complex tools and workflows in a reproducible manner, and visualize results. Galaxy Climate is quite new and aims at offering tools to everyone interested in Climate Science so that they can analyse and visualize climate data produced by climate scientists. However, climate scientists and in particular climate modellers have very different working practices: they often like to use command lines for running climate models and thanks to the PANGEO community (a community platform for Big Data geoscience) the Jupyter ecosystem has become very popular with several deployments of JupyterHubs dedicated to climate data analysis. By deploying JupyterLab with PANGEO, CESM and ESMValTool conda environments as a new Climate Galaxy interactive tool (https://live.usegalaxy.eu/?tool_id=interactive_tool_climate_notebook), we are aiming at bridging the gap between climate scientists and non-climate specialists. On this poster, we will show typical use cases both for research (https://nordicesmhub.github.io/eosc-nordic-climate-demonstrator/02-use-cases/) and for teaching (https://nordicesmhub.github.io/NEGI-Abisko-2019/intro). This work is funded by EOSC-Nordic, a European project to foster & advance the take-up of the European Open Science Cloud in the Nordic and Baltic countries. Github: https://github.com/NordicESMhub/docker-climate-notebook : The EOSC-Nordic project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857652. |
format |
Article in Journal/Newspaper |
author |
Fouilloux, Anne Tang, Hui Lieungh, Eva Geange, Sonya R Horvath, Peter Bryn, Anders |
author_facet |
Fouilloux, Anne Tang, Hui Lieungh, Eva Geange, Sonya R Horvath, Peter Bryn, Anders |
author_sort |
Fouilloux, Anne |
title |
Climate JupyterLab as an interactive tool in Galaxy |
title_short |
Climate JupyterLab as an interactive tool in Galaxy |
title_full |
Climate JupyterLab as an interactive tool in Galaxy |
title_fullStr |
Climate JupyterLab as an interactive tool in Galaxy |
title_full_unstemmed |
Climate JupyterLab as an interactive tool in Galaxy |
title_sort |
climate jupyterlab as an interactive tool in galaxy |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.4543739 https://zenodo.org/record/4543739 |
long_lat |
ENVELOPE(18.829,18.829,68.349,68.349) |
geographic |
Abisko |
geographic_facet |
Abisko |
genre |
Abisko |
genre_facet |
Abisko |
op_relation |
https://zenodo.org/communities/neic https://dx.doi.org/10.5281/zenodo.4543738 https://zenodo.org/communities/neic |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4543739 https://doi.org/10.5281/zenodo.4543738 |
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1766112140819693568 |