PMID- 37696807 OWN - NLM STAT- PubMed-not-MEDLINE DCOM- 20230913 LR - 20231119 IS - 2052-4463 (Electronic) IS - 2052-4463 (Linking) VI - 10 IP - 1 DP - 2023 Sep 11 TI - EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union. PG - 612 LID - 10.1038/s41597-023-02517-0 [doi] LID - 612 AB - EuroCrops contains geo-referenced polygons of agricultural croplands from 16 countries of the European Union (EU) as well as information on the respective crop species grown there. These semantic annotations are derived from self-declarations by farmers receiving subsidies under the common agricultural policy (CAP) of the European Commission (EC). Over the last 1.5 years, the individual national crop datasets have been manually collected, the crop classes have been translated into the English language and transferred into the newly developed hierarchical crop and agriculture taxonomy (HCAT). EuroCrops is publicly available under continuous improvement through an active user community. CI - (c) 2023. Springer Nature Limited. FAU - Schneider, Maja AU - Schneider M AUID- ORCID: 0000-0002-9407-1146 AD - Technical University of Munich (TUM), TUM School of Engineering and Design, Munich, 80333, Germany. maja.schneider@tum.de. FAU - Schelte, Tobias AU - Schelte T AUID- ORCID: 0000-0002-0712-2460 AD - Technical University of Munich (TUM), TUM School of Engineering and Design, Munich, 80333, Germany. FAU - Schmitz, Felix AU - Schmitz F AUID- ORCID: 0000-0003-0685-7489 AD - Technical University of Munich (TUM), TUM School of Engineering and Design, Munich, 80333, Germany. FAU - Korner, Marco AU - Korner M AD - Technical University of Munich (TUM), TUM School of Engineering and Design, Munich, 80333, Germany. LA - eng GR - 101004112/EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)/ GR - 101004112/EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)/ GR - 101004112/EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)/ PT - Dataset PT - Journal Article DEP - 20230911 PL - England TA - Sci Data JT - Scientific data JID - 101640192 SB - IM PMC - PMC10495462 COIS- The authors declare no competing interests. EDAT- 2023/09/12 00:42 MHDA- 2023/09/13 06:41 PMCR- 2023/09/11 CRDT- 2023/09/11 23:17 PHST- 2023/01/17 00:00 [received] PHST- 2023/08/30 00:00 [accepted] PHST- 2023/09/13 06:41 [medline] PHST- 2023/09/12 00:42 [pubmed] PHST- 2023/09/11 23:17 [entrez] PHST- 2023/09/11 00:00 [pmc-release] AID - 10.1038/s41597-023-02517-0 [pii] AID - 2517 [pii] AID - 10.1038/s41597-023-02517-0 [doi] PST - epublish SO - Sci Data. 2023 Sep 11;10(1):612. doi: 10.1038/s41597-023-02517-0.