{"data":{"id":"10.4121/db30b64d-8964-4522-8bc9-d3a7ac0c9834","type":"dois","attributes":{"doi":"10.4121/db30b64d-8964-4522-8bc9-d3a7ac0c9834","prefix":"10.4121","suffix":"db30b64d-8964-4522-8bc9-d3a7ac0c9834","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Enders, Andreas","givenName":"Andreas","familyName":"Enders","affiliation":[],"nameIdentifiers":[]},{"name":"Hoffmann, Holger","givenName":"Holger","familyName":"Hoffmann","affiliation":[],"nameIdentifiers":[]},{"name":"Siebert, Stefan","givenName":"Stefan","familyName":"Siebert","affiliation":[],"nameIdentifiers":[]},{"name":"Gaiser, Thomas","givenName":"Thomas","familyName":"Gaiser","affiliation":[],"nameIdentifiers":[]},{"name":"Ewert, Frank","givenName":"Frank","familyName":"Ewert","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Climate and soil input data aggregation effects in crop models"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2023,"subjects":[{"subject":"Soil Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0503"},{"subject":"FOS: Agriculture, forestry and fisheries","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Agriculture, Land and Farm Management","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0701"},{"subject":"Atmospheric Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0401"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Crop and Pasture Production","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0703"},{"subject":"Earth Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"04"},{"subject":"Agricultural and Veterinary Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"07"},{"subject":"Environmental Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"05"},{"subject":"aggregation effects"},{"subject":"climate"},{"subject":"crop simulation"},{"subject":"input data"},{"subject":"model comparison"},{"subject":"soil"},{"subject":"scaling"},{"subject":"Time: 1982 - 2012"}],"contributors":[{"name":"Crop Science Group, Institute Of Crop Science And Resource Conservation (INRES), University Of Bonn","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2023-07-27","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.18174/odjar.v8i0.15741","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["CSV"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset contains interpolated and aggregated soil and climate data of the region of North Rhine-Westphalia (Germany). The data is provided for grids of 1, 10, 25, 50 and 100 km resolutions. These data grids represent spatial aggregations of the climate of approximately 1 km resolution and soil data of approximately 300 m resolution raster. The purpose of this data is the use as input for crop models. It thus contains the key relevant soil and climate variables for running crop models. Additionally, the data is specifically designed to analyze effects of scale and resolution in crop models, e.g. data aggregation effects. It has been used for several studies on spatial scales with regard to different scaling approaches, crops, crop models, model output variables, production situations and crop management among others.","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"North Rhine-Westphalia (Germany)","geoLocationPoint":{"pointLatitude":"51.47000","pointLongitude":"7.34000"}}],"fundingReferences":[{"awardTitle":"German Bundesministerium für Bildung und Forschung 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