IceNet@GalaxyClimate ...
This presentation provide an overview of the work that needs to be done to develop Galaxy Tools from a Jupyter Notebook published in the Environmental Data Science Book (EDS): Agenda : Environmental Data Science book IceNet@EDS Galaxy Project for Climate Science IceNet@Galaxy ... : Thanks to Alejand...
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| Language: | English |
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Zenodo
2023
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| Online Access: | https://dx.doi.org/10.5281/zenodo.7723370 https://zenodo.org/record/7723370 |
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ftdatacite:10.5281/zenodo.7723370 2023-05-15T18:17:43+02:00 IceNet@GalaxyClimate ... Stoeckl, Vanessa 2023 https://dx.doi.org/10.5281/zenodo.7723370 https://zenodo.org/record/7723370 en eng Zenodo https://dx.doi.org/10.5281/zenodo.7723371 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 galaxy project icenet EDS Environmental Data Science Book seasonal sea ice forecasting machine learning probabilistic deep learning Text ScholarlyArticle article-journal Presentation 2023 ftdatacite https://doi.org/10.5281/zenodo.772337010.5281/zenodo.7723371 2023-04-03T13:12:00Z This presentation provide an overview of the work that needs to be done to develop Galaxy Tools from a Jupyter Notebook published in the Environmental Data Science Book (EDS): Agenda : Environmental Data Science book IceNet@EDS Galaxy Project for Climate Science IceNet@Galaxy ... : Thanks to Alejandro Coca-Castro, Anne Fouilloux, Bjoern Gruening, Jean Iaquinta. ... Text Sea ice DataCite Metadata Store (German National Library of Science and Technology) Gruening ENVELOPE(-63.000,-63.000,-71.867,-71.867) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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English |
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galaxy project icenet EDS Environmental Data Science Book seasonal sea ice forecasting machine learning probabilistic deep learning |
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galaxy project icenet EDS Environmental Data Science Book seasonal sea ice forecasting machine learning probabilistic deep learning Stoeckl, Vanessa IceNet@GalaxyClimate ... |
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galaxy project icenet EDS Environmental Data Science Book seasonal sea ice forecasting machine learning probabilistic deep learning |
| description |
This presentation provide an overview of the work that needs to be done to develop Galaxy Tools from a Jupyter Notebook published in the Environmental Data Science Book (EDS): Agenda : Environmental Data Science book IceNet@EDS Galaxy Project for Climate Science IceNet@Galaxy ... : Thanks to Alejandro Coca-Castro, Anne Fouilloux, Bjoern Gruening, Jean Iaquinta. ... |
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Text |
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Stoeckl, Vanessa |
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Stoeckl, Vanessa |
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Stoeckl, Vanessa |
| title |
IceNet@GalaxyClimate ... |
| title_short |
IceNet@GalaxyClimate ... |
| title_full |
IceNet@GalaxyClimate ... |
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IceNet@GalaxyClimate ... |
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IceNet@GalaxyClimate ... |
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icenet@galaxyclimate ... |
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Zenodo |
| publishDate |
2023 |
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https://dx.doi.org/10.5281/zenodo.7723370 https://zenodo.org/record/7723370 |
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ENVELOPE(-63.000,-63.000,-71.867,-71.867) |
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Gruening |
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Gruening |
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Sea ice |
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Sea ice |
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https://dx.doi.org/10.5281/zenodo.7723371 |
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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 |
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https://doi.org/10.5281/zenodo.772337010.5281/zenodo.7723371 |
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