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- climate-jupyter-galaxy_web.gif description "This is a gif animated image showing how to start the Galaxy Climate JupyterLab in Galaxy Europe" assertion.
- map_vis_Galaxy.gif description "This is a gif animated image showing some of the functionalities of the Galaxy Climate JupyterLab" assertion.
- cb869c7a-7a89-49dd-9038-b8a05a91dc6e description "🐳 🔬 📚 Jupyter running in a docker container. This image can be used to integrate Jupyter into Galaxy. This Jupyter Docker container is used by the Galaxy Project and can be installed from the quay.io index (https://quay.io/repository/nordicesmhub/docker-climate-notebook)." assertion.
- a5017748-4c4f-4546-b555-4b1323fce016 description "Default Jupyter Notebook used when starting Galaxy Climate JupyterLab if no other Jupyter Notebook is passed by the user." assertion.
- c8a9d642-c401-43c4-9436-58f866edb277 description "This is the Galaxy Climate JupyterLab tool wrapper used by Galaxy to start the Galaxy Climate JupyterLab on a Galaxy instance." assertion.
- f974c6a2-5fb5-45ae-b19f-03968d55060f description "Most of the resources and information of this Research Object were created from this Jupyter Notebook." assertion.
- zenodo.4543739 description "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)." assertion.
- zenodo.6394185 description "This is a tarball for the Docker climate-JupyterLab image - Version 2021-03-18. To use it: download the image file docker-climate-notebook-2021-03-18.tar load it with docker with the command: docker load --input docker-climate-notebook-2021-03-18.tar launch the Docker container binding of your data folder (on the local machine) with the /import folder i(inside the container) with the command: docker run -v my_data_folder:/import -p 7777:8888 quay.io/nordicesmhub/docker-climate-notebook:2021-03-18 start your favorite web browser and go to: http://localhost:7777/ipython/ See https://github.com/NordicESMhub/docker-climate-notebook for more details" assertion.
- docker-climate-notebook description "This github repository contains all the sources required for building the docker containers that are made available in Quay Container Registry." assertion.
- docker-climate-notebook description "These docker images (different tags) correspond to the docker images built for Galaxy Climate JupyterLab. The docker images can be used within Galaxy and as standalone docker images. You can use the same images we use in Galaxy on your local computer or any other platform: 1. Pull an existing image locally docker pull quay.io/nordicesmhub/docker-climate-notebook 2. Run a pre-build image from docker registry 3. To start your JupyterLab: docker run -p 7777:8888 quay.io/nordicesmhub/docker-climate-notebook and you will top open a new terminal and start your favorite web browser. your running Jupyter Notebook instance on http://localhost:7777/ipython/. Remark: for reproducibility purpose, we suggest you use a specific tag e.g. docker pull quay.io/nordicesmhub/docker-climate-notebook:2021-03-18 Then use the same tag when starting your JupyterLab application: docker run -p 7777:8888 quay.io/nordicesmhub/docker-climate-notebook:2021-03-18" assertion.
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- cb869c7a-7a89-49dd-9038-b8a05a91dc6e cite-as "Anne Foilloux, and Björn Grüning. "Docker Climate Analysis Jupyter Container Version 2021-03-18." ROHub. Mar 26 ,2022. https://doi.org/10.24424/6mwg-cq92." assertion.
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