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ABSOLUT input data for an example application on the districts of Germany

<p>These are data for running the ABSOLUT R programs published separately on Zenodo: <a href="https://doi.org/10.5281/zenodo.4468608">10.5281/zenodo.4468608</a>.</p> <p>The data published here consist of:</p> <p><strong>absolutcontrol.dat</strong> &ndash; text file (UTF-8) with case-specific settings for program execution, may be edited by the user</p> <p><strong>crop-areas.csv</strong> &ndash; CSV table of crop areas in hectares for different crops in German administrative areas. Modified from data originally provided by the statistical offices of Germany (&copy; Statistische &Auml;mter des Bundes und der L&auml;nder, Deutschland, 2020) and re-distributed here in this modified form also under the terms of the Data licence Germany &ndash; attribution &ndash; version 2.0, see https://www.govdata.de/dl-de/by-2-0</p> <p><strong>districtweather.zip</strong> &ndash; zipped directories DistrictWeather and DistrictFeatures. DistrictWeather contains 401 ASCII DAT files with monthly weather variables, one per district. These have been generated using rasterized weather data from the German meteorological service (Deutscher Wetterdienst, DWD), an official digital map of administrative boundaries provided by the German Federal Agency for Cartography and Geodesy, and CLC-2012 land use data provided by Copernicus. DistrictFeatures is an empty directory to be used by the corresponding program.</p> <p><strong>climatescenarios.zip</strong> - zipped directories ClimateScenarios and ClimateScenarioFeatures. ClimateScenarios contains three subdirectories with example climate scenario realisations in the same format as DistrictWeather. ClimateScenarioFeatures is an empty directory to be used by the corresponding program.</p> <p><strong>yield-indat.csv </strong>&ndash; CSV table of crop yields in dt/ha for different crops in German administrative areas, annual values for the years 1999&ndash;2020. Modified from data originally provided by the statistical offices of Germany (&copy; Statistische &Auml;mter des Bundes und der L&auml;nder, Deutschland, 2021) and re-distributed here in this modified form also under the terms of the Data licence Germany &ndash; attribution &ndash; version 2.0, see https://www.govdata.de/dl-de/by-2-0</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4