Data · dataset · 2021
Synthetic farm population of the German Federal State of North Rhine-Westphalia
Listed in Teesside University Research Data Repository
We provide data on a synthetic farm population of the German Federal State of North Rhine-Westphalia, mainly relying on the German Farm Structure Survey 2016 and plot specific crop data from 2019/2020.
Description
The dataset is provided at plot scale in a geospatial vector as well as at farm scale in tabular format. For each plot in the state, the belonging farm (including the estimated farm’s location), animal stock, cultivated crop, as well as the corresponding administration units are indicated.
The geospatial vector data is combined with further spatial data such as yield information, soil characteristics, or monitoring data on environmental status. The provided data enables to run diverse analysis on the farm population in the Federal state of North Rhine Westphalia with farm and agent-based models. Furthermore, it can serve as a case study application for testing model developments which require detailed and spatially explicit farm data.
Links
Where it is published
- DOI doi.org/10.17632/75wngh8x4j.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Agricultural economics · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Tabular 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/75wngh8x4j.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:380101 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Agricultural Economics'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |