Explore projects
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Machine learning models developed for avalanche danger level predictions in Switzerland
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Karger / chelsa_cmip6
GNU Affero General Public License v3.0Updated -
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Codes investigating the relationship between extreme climate metrics and foodweb metrics.
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EnviDat / ckanext-blind_review
GNU Affero General Public License v3.0Extension that enables blind review of private datasets.
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Microservice cron to make EnviDat data accessible via OpenDataSwiss scrapers.
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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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Functions to translate EUNIS classes to plant functional types (PFTs) used in land surface models
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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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snow-models / MeteoIO-WebService
GNU Affero General Public License v3.0This is a web-based system to standardize, quality-control, correct, resample and share timeseries datasets. It empowers data owners to easily manage their datasets in real time and potentially get informed when sensors don't work as expected.
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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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leibersp / SNOWPAT
GNU General Public License v3.0 or laterUpdated -
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EnviDat / ckanext-passwordless_api
MIT LicenseExtension to allow paswordless login to the CKAN API.
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