Explore projects
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Karger / chelsa_cmip6
GNU Affero General Public License v3.0Updated -
EnviDat / ckanext-blind_review
GNU Affero General Public License v3.0Extension that enables blind review of private datasets.
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Codes investigating the relationship between extreme climate metrics and foodweb metrics.
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Machine learning models developed for avalanche danger level predictions in Switzerland
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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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Microservice cron to make EnviDat data accessible via Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH).
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EnviDat / ckanext-cloudstorage
MIT LicenseImplements support for resource storage against multiple popular providers via apache-libcloud (S3, Azure Storage, etc...)
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Django API and data import/export Python software package for long-term environmental monitoring data.
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StreamFlow is an extension to the spatially-distributed snow model Alpine3D which allows the user to perform hydrological simulations. On top of discharge and water height, StreamFlow can also compute stream temperature at any point along the stream.
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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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EnviDat / ckanext-passwordless_api
MIT LicenseExtension to allow paswordless login to the CKAN API.
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Andri Simeon / Autoencoder-based feature extraction for the automatic detection of snow avalanches in seismic data
GNU General Public License v3.0 or laterUpdated -
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Dujardin / Wind-Topo
GNU Affero General Public License v3.0Wind-Topo is a statistical downscaling model for near surface wind fields especially suited for highly complex terrain. It is based on deep learning and was trained with data from 261 stations. Dujardin and Lehning 2022 "Wind-Topo: Downscaling.."
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