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Troupin Charles / CMEMS_INSTAC_Training
MIT LicenseExamples of data processing in Python using netCDF files.
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MOAMMM / moammmPublic / publicationsData / 2022_CMAME_NNWPCA
Creative Commons Attribution 4.0 InternationalData of https://doi.org/10.1016/j.cma.2021.114476
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
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MiPI Flow Tools comprises a set of codes written in Python for the effective visualization of flow cytometry data. This toolbox has been created by Boris Zacchetti during his postdoctoral stay at the Microbial Processes and Interactions lab (ULiège)
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Source code for the lecture related to "Bioreactor modelling and systems biology". Some exercices are also available. The files are either written in the MatLab (extension .m) or in Python (extension .py)
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MOAMMM / moammmPublic / publicationsData / 2020_CMAME_BI_NNW
Creative Commons Attribution 4.0 InternationalData related to https://doi.org/10.1016/j.cma.2019.112693
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
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bb2mdl / Bb2Mdl Library
GNU General Public License v3.0 or laterBlackboard to Moodle migration system
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MiPI Flow Tools comprises a set of codes written in Python for the effective visualization of flow cytometry data. This toolbox has been created by Boris Zacchetti during his postdoctoral stay at the Microbial Processes and Interactions lab (ULiège)
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smart_grids / public / resite_ip
GNU General Public License v3.0 or laterA framework for RES siting leveraging resource complementarity.
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Python code to process data from Inside Airbnb and display on a Leaflet map
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