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tl;dr I will offer an interactive, hands-on tutorial on processing a multi-model CMIP6 analysis in python. The LunchBytes concept: https://wiki.mpimet.mpg.de/doku.php?id=analysis:lunchbytes:start
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Xingran Wang / libmtime
BSD 3-Clause "New" or "Revised" LicenseUpdated -
icon-libraries / libmtime
BSD 3-Clause "New" or "Revised" LicenseUpdated -
mpim-sw / libcdi
BSD 3-Clause "New" or "Revised" LicenseUpdated -
Reinhard Budich / libcdi
BSD 3-Clause "New" or "Revised" LicenseUpdated -
Mathis Rosenhauer / libaec
BSD 2-Clause "Simplified" LicenseAdaptive Entropy Coding library
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Marius Rixen / lecture materials
Creative Commons Attribution 4.0 InternationalUpdated -
generic software skills / lecture materials
Creative Commons Attribution 4.0 InternationalUpdated -
Mostafa Hadizadeh / kaniko
BSD 2-Clause with views sentenceUpdated -
GitLab Repo for the NFDI4Earth Incubator Project
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data-infrastructure-services / intake-esm_support
GNU General Public License v3.0 onlyIntake-esm support for DKRZ stores
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Scripts to extract sea-surface temperature and sea-ice coverage from CMIP6 output
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