Explore projects
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Workshop material for analysing spatially autocorrelated (SAC) data
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Haas / envidat_frontend
Apache License 2.0Frontend for the Envidat platform which provides environmental research data from researchers of the Swiss Federal Institute for Forest, Snow and Landscape.
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Karger / CHELSA_EarthEnv_validation
GNU Affero General Public License v3.0Codes related to DN Karger, AM Wilson, C Mahony, NE Zimmermann, W Jetz 'Global daily 1km land surface precipitation based on cloud cover-informed downscaling', arXiv preprint arXiv:2012.10108.
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Karger / CHELSA_EarthEnv
GNU Affero General Public License v3.0Codes related to CHELSA EarthEnv project. Karger, D.N., Wilson, A.M., Mahony, C., Zimmermann, N.E., Jetz, W. (in review) 'Global daily 1km land surface precipitation based on cloud cover-informed downscaling', Scientific Data
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This is the public repository for the ecostat coffee breaks meeting at 10am every Wednesday.
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Machine learning models developed for avalanche danger level predictions in Switzerland
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Codes for "Limited protection and ongoing loss of tropical cloud forest biodiversity and ecosystems worldwide"
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Microservice cron to make EnviDat data accessible via NASA Earthdata scrapers.
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This python code uses the Finite Element library FENICS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format from which the paper figure is reproduced.
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leibersp / SNOWPAT
GNU General Public License v3.0 or laterUpdated -