Explore projects
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Machine learning models developed for avalanche danger level predictions in Switzerland
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EnviDat / EnviDat Python Utils
MIT LicenseUtilities for EnviDat projects in Python. API helpers, S3 wrappers etc.
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EnviDat / ckanext-passwordless_api
MIT LicenseExtension to allow paswordless login to the CKAN API.
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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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Microservice cron to make EnviDat data accessible via Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH).
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EnviDat / ckanext-restricted_api
MIT LicenseExtension to allow dataset restriction via CKAN API.
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Microservice cron to make EnviDat data accessible via NASA Earthdata scrapers.
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Microservice cron to make EnviDat data accessible via OpenDataSwiss scrapers.
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Aschauer / swe2hs
GNU General Public License v3.0 onlyA conceptual model to calculate snow depth from snow water equivalent of the snow pack.
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Codes investigating the relationship between extreme climate metrics and foodweb metrics.
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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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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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