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260ca90cbcafbeb16566e4d2c29c6bf1chaf80 description "VSM input file" assertion.
49d62701a12530804aca9486cec01fe6ch33d0 description "GNSS data from 2011-2012 at Santorini (Greece)" assertion.
49d62701a12530804aca9486cec01fe6ch33d0 description "GNSS data from 2011-2012 at Santorini (Greece)" assertion.
dfdc97a96d6bc5322167aca4449a71d1ch6a9a description "Subsampled descending ENVISAT data from 2011-2012 at Santorini (Greece)" assertion.
dfdc97a96d6bc5322167aca4449a71d1ch6a9a description "Subsampled descending ENVISAT data from 2011-2012 at Santorini (Greece)" assertion.
bf3d5a76-1be0-4221-8ee0-b3cb40faf6f7 description "Volcanic and Seismic source Modelling (VSM) is an open source Python tool to model ground deformation detected by satellite and terrestrial geodetic techniques. The VSM tool allows the user to choose one or more geometrical sources as forward model among sphere, spheroid, ellipsoid, fault, and sill. It supports multiple datasets from most satellite and terrestrial geodetic techniques: interferometric SAR, GNSS, levelling, Electro-optical Distance Measuring, tiltmeters and strainmeters. Two sampling algorithms are available, one is a global optimization algorithm based on the Voronoi cells and the second follows a probabilistic approach to parameters estimation based on the Bayes theorem. VSM can be executed as Python script, in Jupyter Notebook environments or by its Graphical User Interface. Version 1.0 April 2022. For any inquires, please write to elisa.trasatti@ingv.it" assertion.
bf3d5a76-1be0-4221-8ee0-b3cb40faf6f7 description "Volcanic and Seismic source Modelling (VSM) is an open source Python tool to model ground deformation detected by satellite and terrestrial geodetic techniques. The VSM tool allows the user to choose one or more geometrical sources as forward model among sphere, spheroid, ellipsoid, fault, and sill. It supports multiple datasets from most satellite and terrestrial geodetic techniques: interferometric SAR, GNSS, levelling, Electro-optical Distance Measuring, tiltmeters and strainmeters. Two sampling algorithms are available, one is a global optimization algorithm based on the Voronoi cells and the second follows a probabilistic approach to parameters estimation based on the Bayes theorem. VSM can be executed as Python script, in Jupyter Notebook environments or by its Graphical User Interface. Version 1.0 April 2022. For any inquires, please write to elisa.trasatti@ingv.it" assertion.
8c18a91f-f196-4b0f-a95c-f6c290917747 description "License of use of VSM" assertion.
8c18a91f-f196-4b0f-a95c-f6c290917747 description "License of use of VSM" assertion.
ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef description "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book." assertion.
ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef description "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book." assertion.
b2a89d93-389e-4b18-8c66-c918d1826518 description "A demo given at the 3RD ESFRI-EOSC WORKSHOP ON RIS AND EOSC to show what the RELIANCE project has achieved on Open Science, FAIR and EOSC practice. Click on the links in the Research Object to access its different elements. The main resource of this Research Object is a video published on zenodo: https://doi.org/10.5281/zenodo.5906803" assertion.
b2a89d93-389e-4b18-8c66-c918d1826518 description "A demo given at the 3RD ESFRI-EOSC WORKSHOP ON RIS AND EOSC to show what the RELIANCE project has achieved on Open Science, FAIR and EOSC practice. Click on the links in the Research Object to access its different elements. The main resource of this Research Object is a video published on zenodo: https://doi.org/10.5281/zenodo.5906803" assertion.
54600d5f-9b3e-4b92-b399-df9226ec58c1 description "Folder where we will add links to documentation." assertion.
54600d5f-9b3e-4b92-b399-df9226ec58c1 description "Folder where we will add links to documentation." assertion.
b1e949bf-0514-4945-9fc9-8cbf89e96e4a description "Outputs generated" assertion.
b1e949bf-0514-4945-9fc9-8cbf89e96e4a description "Outputs generated" assertion.
62de154d-3a95-48f8-bd80-4e4f4b88f2a7 description "This figure shows all the services used within the RELIANCE project and how they are used together to build a user environment for Open Science and FAIR" assertion.
62de154d-3a95-48f8-bd80-4e4f4b88f2a7 description "This figure shows all the services used within the RELIANCE project and how they are used together to build a user environment for Open Science and FAIR" assertion.
ed4e6aa2-9db8-452d-9301-ba1606361034 description "NICEST-2 is the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools and it focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives. It builds on previous efforts within NICEST (a 3-year NeIC project as of 2017-01) and NordicESM (3-year NordForsk funded project from 2014-12). NICEST2 activities include: 1) Enhance the performance and optimize and homogenize workflows used, so climate models (like EC-EARTH and NorESM) can be run in an efficient way on future computing resources (like EuroHPC); 2) Widen the usage and expertise on evaluating Earth System Models and develop new diagnostic modules for the Nordic region within the ESMValTool; 3)Create a roadmap for FAIRification of Nordic climate model data." assertion.
ed4e6aa2-9db8-452d-9301-ba1606361034 description "NICEST-2 is the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools and it focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives. It builds on previous efforts within NICEST (a 3-year NeIC project as of 2017-01) and NordicESM (3-year NordForsk funded project from 2014-12). NICEST2 activities include: 1) Enhance the performance and optimize and homogenize workflows used, so climate models (like EC-EARTH and NorESM) can be run in an efficient way on future computing resources (like EuroHPC); 2) Widen the usage and expertise on evaluating Earth System Models and develop new diagnostic modules for the Nordic region within the ESMValTool; 3)Create a roadmap for FAIRification of Nordic climate model data." assertion.
4ed7f241-959a-41e5-bfb8-a4d53d3d1fa6 description "Initial Collaboration agreement for the NICEST2 project" assertion.
4ed7f241-959a-41e5-bfb8-a4d53d3d1fa6 description "Initial Collaboration agreement for the NICEST2 project" assertion.
9ea437fd-1af0-4a1d-bc68-7af1c3bed34a description "Achievements of the NeIC NICEST2 project at the beginning of January 2022. This slide is part of a presentation that has been shown during the NeIC AHM22." assertion.
9ea437fd-1af0-4a1d-bc68-7af1c3bed34a description "Achievements of the NeIC NICEST2 project at the beginning of January 2022. This slide is part of a presentation that has been shown during the NeIC AHM22." assertion.
a51d3ea3-89a6-443b-8d22-06f4c3ec71ee description "Business Case for the NICEST2 project." assertion.
a51d3ea3-89a6-443b-8d22-06f4c3ec71ee description "Business Case for the NICEST2 project." assertion.
cc821096-f0f1-4a81-afd2-e311c899250c description "The submitted project proposal for the NICEST2 project." assertion.
cc821096-f0f1-4a81-afd2-e311c899250c description "The submitted project proposal for the NICEST2 project." assertion.
fd0ced6b-bfec-49bd-99b8-cb2db9f5c3f9 description "NICEST2 project plan. Please note that some changes may have been agreed during the course of the project." assertion.
fd0ced6b-bfec-49bd-99b8-cb2db9f5c3f9 description "NICEST2 project plan. Please note that some changes may have been agreed during the course of the project." assertion.
e919cbc4-2b0c-466a-a92f-9d5db1179301 description "NICEST-2 is the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools and it focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives. It builds on previous efforts within NICEST (a 3-year NeIC project as of 2017-01) and NordicESM (3-year NordForsk funded project from 2014-12). NICEST2 activities include: 1) Enhance the performance and optimize and homogenize workflows used, so climate models (like EC-EARTH and NorESM) can be run in an efficient way on future computing resources (like EuroHPC); 2) Widen the usage and expertise on evaluating Earth System Models and develop new diagnostic modules for the Nordic region within the ESMValTool; 3)Create a roadmap for FAIRification of Nordic climate model data." assertion.
e919cbc4-2b0c-466a-a92f-9d5db1179301 description "NICEST-2 is the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools and it focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives. It builds on previous efforts within NICEST (a 3-year NeIC project as of 2017-01) and NordicESM (3-year NordForsk funded project from 2014-12). NICEST2 activities include: 1) Enhance the performance and optimize and homogenize workflows used, so climate models (like EC-EARTH and NorESM) can be run in an efficient way on future computing resources (like EuroHPC); 2) Widen the usage and expertise on evaluating Earth System Models and develop new diagnostic modules for the Nordic region within the ESMValTool; 3)Create a roadmap for FAIRification of Nordic climate model data." assertion.
3bcbf678-1c05-4939-8d41-880ef38061a6 description "NICEST2 project plan. Please note that some changes may have been agreed during the course of the project." assertion.
3bcbf678-1c05-4939-8d41-880ef38061a6 description "NICEST2 project plan. Please note that some changes may have been agreed during the course of the project." assertion.
8f0ac9fc-f038-4bda-b57d-8460b422b88b description "Achievements of the NeIC NICEST2 project at the beginning of January 2022. This slide is part of a presentation that has been shown during the NeIC AHM22." assertion.
8f0ac9fc-f038-4bda-b57d-8460b422b88b description "Achievements of the NeIC NICEST2 project at the beginning of January 2022. This slide is part of a presentation that has been shown during the NeIC AHM22." assertion.
95b38dd2-7b6b-410e-9240-00636de7bfdb description "Business Case for the NICEST2 project." assertion.
95b38dd2-7b6b-410e-9240-00636de7bfdb description "Business Case for the NICEST2 project." assertion.
b993ee08-9d3a-42ea-b754-ae2ae805b3a2 description "Initial Collaboration agreement for the NICEST2 project" assertion.
b993ee08-9d3a-42ea-b754-ae2ae805b3a2 description "Initial Collaboration agreement for the NICEST2 project" assertion.
eb47d474-f350-4c3f-b543-e22ce008bd16 description "The submitted project proposal for the NICEST2 project." assertion.
eb47d474-f350-4c3f-b543-e22ce008bd16 description "The submitted project proposal for the NICEST2 project." assertion.
stable description "Link to the online JupyterLab documentation." assertion.
stable description "Link to the online JupyterLab documentation." assertion.
stable description "Link to the online JupyterLab documentation." assertion.
stable description "Link to the online JupyterLab documentation." assertion.
stable description "Link to the online JupyterLab documentation." assertion.
stable description "Link to the online JupyterLab documentation." assertion.
docker-pangeo-notebook description "These docker images (different tags) correspond to the docker images built for Galaxy Pangeo 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-pangeo-notebook 2. Run a pre-build image from docker registry 3. To start your JupyterLab: docker run -p 7777:8888 quay.io/nordicesmhub/docker-pangeo-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-pangeo-notebook:1c0f66b Then use the same tag when starting your JupyterLab application: docker run -p 7777:8888 quay.io/nordicesmhub/docker-pangeo-notebook:1c0f66b" assertion.
docker-pangeo-notebook description "These docker images (different tags) correspond to the docker images built for Galaxy Pangeo 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-pangeo-notebook 2. Run a pre-build image from docker registry 3. To start your JupyterLab: docker run -p 7777:8888 quay.io/nordicesmhub/docker-pangeo-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-pangeo-notebook:1c0f66b Then use the same tag when starting your JupyterLab application: docker run -p 7777:8888 quay.io/nordicesmhub/docker-pangeo-notebook:1c0f66b" assertion.
docker-pangeo-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-pangeo-notebook description "This github repository contains all the sources required for building the docker containers that are made available in Quay Container Registry." assertion.
tutorial.html description "Training material (hands-on) where Pangeo Notebook is used to learn Xarray. This training is part of the Galaxy Training Network (GTN). In this tutorial, we will learn about Xarray, one of the most used Python library from the Pangeo ecosystem. We will be using data from Copernicus Atmosphere Monitoring Service and more precisely PM2.5 (Particle Matter < 2.5 μm) 4 days forecast from December, 22 2021. Parallel data analysis with Pangeo is not covered in this tutorial." assertion.
tutorial.html description "Training material (hands-on) where Pangeo Notebook is used to learn Xarray. This training is part of the Galaxy Training Network (GTN). In this tutorial, we will learn about Xarray, one of the most used Python library from the Pangeo ecosystem. We will be using data from Copernicus Atmosphere Monitoring Service and more precisely PM2.5 (Particle Matter < 2.5 μm) 4 days forecast from December, 22 2021. Parallel data analysis with Pangeo is not covered in this tutorial." assertion.
9c3bfd43-7e4f-4073-8735-f280ad4ab419 description "This Jupyter Docker container is used by the Galaxy Project. It is based on Pangeo notebook docker image (https://github.com/pangeo-data/pangeo-docker-images) and contained a few additional packages required for Galaxy (to exchange data, etc.)." assertion.
9c3bfd43-7e4f-4073-8735-f280ad4ab419 description "This Jupyter Docker container is used by the Galaxy Project. It is based on Pangeo notebook docker image (https://github.com/pangeo-data/pangeo-docker-images) and contained a few additional packages required for Galaxy (to exchange data, etc.)." assertion.
485cceaf-55f0-4915-944d-b1cbcccbd283 description "Default Jupyter Notebook used when starting Galaxy Climate JupyterLab if no other Jupyter Notebook is passed by the user." assertion.
485cceaf-55f0-4915-944d-b1cbcccbd283 description "Default Jupyter Notebook used when starting Galaxy Climate JupyterLab if no other Jupyter Notebook is passed by the user." assertion.
b2952190-8eb5-473c-be43-16eec919bfa2 description "This is a gif animated image showing how to start the Galaxy Pangeo JupyterLab in Galaxy Europe. In this video, we pass an input file (this file will be imported in the Jupyter Notebook /import folder)." assertion.
b2952190-8eb5-473c-be43-16eec919bfa2 description "This is a gif animated image showing how to start the Galaxy Pangeo JupyterLab in Galaxy Europe. In this video, we pass an input file (this file will be imported in the Jupyter Notebook /import folder)." assertion.
cb076b25-1ae2-4b1d-8ed0-8875c5463e55 description "This is the Galaxy Pangeo JupyterLab tool wrapper used by Galaxy to start the Galaxy Pangeo JupyterLab on a Galaxy instance." assertion.
cb076b25-1ae2-4b1d-8ed0-8875c5463e55 description "This is the Galaxy Pangeo JupyterLab tool wrapper used by Galaxy to start the Galaxy Pangeo JupyterLab on a Galaxy instance." assertion.
f8b3510c-35aa-4492-89bb-b108b506749d description "Copernicus Atmosphere Monitoring Service PM2.5, 2 day forecasts, 24th December 2021 at 12:00 UTC" assertion.
f8b3510c-35aa-4492-89bb-b108b506749d description "Copernicus Atmosphere Monitoring Service PM2.5, 2 day forecasts, 24th December 2021 at 12:00 UTC" assertion.
zenodo.5805953 description "Dataset used in the Galaxy Pangeo tutorials on Xarray. Data is in netCDF format and is from Copernicus Air Monitoring Service and more precisely PM2.5 (Particle Matter < 2.5 μm) 4 days forecast from December, 22 2021. This dataset is very small and there is no need to parallelize our data analysis. Parallel data analysis with Pangeo is not covered in this tutorial and will make use of another dataset." assertion.
zenodo.5805953 description "Dataset used in the Galaxy Pangeo tutorials on Xarray. Data is in netCDF format and is from Copernicus Air Monitoring Service and more precisely PM2.5 (Particle Matter < 2.5 μm) 4 days forecast from December, 22 2021. This dataset is very small and there is no need to parallelize our data analysis. Parallel data analysis with Pangeo is not covered in this tutorial and will make use of another dataset." assertion.
zenodo.6399102 description "This is a tarball for the Docker Galaxy pangeo-JupyterLab image - Version 1c0f66b. To use it: download the image file docker-pangeo-notebook-1c0f66b.tar load it with docker with the command: docker load --input docker-pangeo-notebook-1c0f66b.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-pangeo-notebook:1c0f66b start your favorite web browser and go to: http://localhost:7777/ipython/ See https://github.com/NordicESMhub/docker-pangeo-notebook for more details" assertion.
zenodo.6399102 description "This is a tarball for the Docker Galaxy pangeo-JupyterLab image - Version 1c0f66b. To use it: download the image file docker-pangeo-notebook-1c0f66b.tar load it with docker with the command: docker load --input docker-pangeo-notebook-1c0f66b.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-pangeo-notebook:1c0f66b start your favorite web browser and go to: http://localhost:7777/ipython/ See https://github.com/NordicESMhub/docker-pangeo-notebook for more details" assertion.
climate-jupyter-galaxy_web.gif description "This is a gif animated image showing how to start the Galaxy Climate JupyterLab in Galaxy Europe" assertion.
climate-jupyter-galaxy_web.gif description "This is a gif animated image showing how to start the Galaxy Climate JupyterLab in Galaxy Europe" assertion.
climate-jupyter-galaxy_web.gif description "This is a gif animated image showing how to start the Galaxy Climate JupyterLab in Galaxy Europe" assertion.
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.
map_vis_Galaxy.gif description "This is a gif animated image showing some of the functionalities of the Galaxy Climate JupyterLab" assertion.
map_vis_Galaxy.gif description "This is a gif animated image showing some of the functionalities of the Galaxy Climate JupyterLab" 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.
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.
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.
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.
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.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.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.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.
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.
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.
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 "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 "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 "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.
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.
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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