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Data on a synthetic farm population of the German federal state of North Rhine-Westphalia
Farm-scale and agent-based models draw typically on detailed and preferably spatially explicit single farm data. Data protection standards however restrict or exclude their access, as for example in Germany. We provide data on a synthetic farm population of the German federal state of North Rhine-We...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076686/ https://www.ncbi.nlm.nih.gov/pubmed/33937451 http://dx.doi.org/10.1016/j.dib.2021.107007 |
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author | Pahmeyer, Christoph Schäfer, David Kuhn, Till Britz, Wolfgang |
author_facet | Pahmeyer, Christoph Schäfer, David Kuhn, Till Britz, Wolfgang |
author_sort | Pahmeyer, Christoph |
collection | PubMed |
description | Farm-scale and agent-based models draw typically on detailed and preferably spatially explicit single farm data. Data protection standards however restrict or exclude their access, as for example in Germany. We provide data on a synthetic farm population of the German federal state of North Rhine-Westphalia, mainly based on the German Farm Structure Survey 2016 and plot specific crop data from 2019/2020. The population is derived from farm typology at administrative unit level to which the observed plots are allocated afterwards. The data contains 25,858 farms and covers 1.3 million ha of agricultural land, provided at plot scale in a geospatial vector and at farm scale in tabular format. For each plot, the managing farm (including the estimated farm's location), the number of livestock, the cultivated crop, as well as the corresponding administration units are indicated. Furthermore, spatial data such as yield information, soil characteristics, as well as monitoring data on environmental status are attached. The provided data allows for diverse analysis on the farm population in the federal state of North Rhine-Westphalia with farm, agent-based or different bio-physical models. Furthermore, it can serve as a test data set for models which require detailed and spatially explicit farm data. |
format | Online Article Text |
id | pubmed-8076686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-80766862021-04-29 Data on a synthetic farm population of the German federal state of North Rhine-Westphalia Pahmeyer, Christoph Schäfer, David Kuhn, Till Britz, Wolfgang Data Brief Data Article Farm-scale and agent-based models draw typically on detailed and preferably spatially explicit single farm data. Data protection standards however restrict or exclude their access, as for example in Germany. We provide data on a synthetic farm population of the German federal state of North Rhine-Westphalia, mainly based on the German Farm Structure Survey 2016 and plot specific crop data from 2019/2020. The population is derived from farm typology at administrative unit level to which the observed plots are allocated afterwards. The data contains 25,858 farms and covers 1.3 million ha of agricultural land, provided at plot scale in a geospatial vector and at farm scale in tabular format. For each plot, the managing farm (including the estimated farm's location), the number of livestock, the cultivated crop, as well as the corresponding administration units are indicated. Furthermore, spatial data such as yield information, soil characteristics, as well as monitoring data on environmental status are attached. The provided data allows for diverse analysis on the farm population in the federal state of North Rhine-Westphalia with farm, agent-based or different bio-physical models. Furthermore, it can serve as a test data set for models which require detailed and spatially explicit farm data. Elsevier 2021-03-27 /pmc/articles/PMC8076686/ /pubmed/33937451 http://dx.doi.org/10.1016/j.dib.2021.107007 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Pahmeyer, Christoph Schäfer, David Kuhn, Till Britz, Wolfgang Data on a synthetic farm population of the German federal state of North Rhine-Westphalia |
title | Data on a synthetic farm population of the German federal state of North Rhine-Westphalia |
title_full | Data on a synthetic farm population of the German federal state of North Rhine-Westphalia |
title_fullStr | Data on a synthetic farm population of the German federal state of North Rhine-Westphalia |
title_full_unstemmed | Data on a synthetic farm population of the German federal state of North Rhine-Westphalia |
title_short | Data on a synthetic farm population of the German federal state of North Rhine-Westphalia |
title_sort | data on a synthetic farm population of the german federal state of north rhine-westphalia |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076686/ https://www.ncbi.nlm.nih.gov/pubmed/33937451 http://dx.doi.org/10.1016/j.dib.2021.107007 |
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