Daten

Greenland shrubs and microclimate

EnviDat: das Umwelt-Datenportal
Bildung, Kultur und Sport

Study Aim

We collected these data to alternatively train and validate high resolution (~ 90 m) Species Distribution Models (SDMs) and Species Abundance Models (SAMs) for _Betula...

Drivers of the microbial metabolic quotient across global grasslands

EnviDat: das Umwelt-Datenportal
Bildung, Kultur und Sport

This dataset contains all data on which the following publication below is based.

Paper Citation:

Risch Anita C., Zimmermann, Stefan, Schütz, Martin, Borer, Elizabeth T.,...

Fire Weather Index for Hydrological Bavaria from 1980-2099 derived from the 50 member CRCM5-LE

EnviDat: das Umwelt-Datenportal
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This dataset contains the Fire Weather Index for Hydrological Bavaria from 1980 - 2099 as stated in the paper "Climate change impacts on regional fire weather in heterogeneous...

Data on wild bee taxonomic and functional diversity in Switzerland

EnviDat: das Umwelt-Datenportal
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Raw data supporting the paper "Countrywide wild bee taxonomic and functional diversity reveal a spatial mismatch between alpha and beta-diversity facets across multiple ecological...

Greenland Climate Network (GC-Net) Data

EnviDat: das Umwelt-Datenportal
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In Memory of Dr. Konrad (Koni) Steffen

Update October 2022: The GC-Net is kindly continued by the Geological Survey of Denmark and Greenland (GEUS). Starting...

CHELSAch-highres-climatologies at high resolution

EnviDat: das Umwelt-Datenportal
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CHELSA is a mechanistic downscaling model that links large-scale atmospheric conditions with local topographic factors to produce very high-resolution climate data. It includes...

CHELSACanaryClim-climatologies

EnviDat: das Umwelt-Datenportal
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CHELSACanaryClim is a high-resolution, terrain-informed downscaling model developed specifically for the Canary Islands. It builds on the CHELSA v1.2 framework and integrates...

CHELSAcerra-daily

EnviDat: das Umwelt-Datenportal
Bildung, Kultur und Sport

CHELSA is a mechanistic downscaling model that links large-scale atmospheric conditions with local topographic factors to produce very high-resolution climate data. It includes...