{"data":{"id":"10.4121/50ad4bd7-7e12-4ed7-aca9-c51f47141410","type":"dois","attributes":{"doi":"10.4121/50ad4bd7-7e12-4ed7-aca9-c51f47141410","prefix":"10.4121","suffix":"50ad4bd7-7e12-4ed7-aca9-c51f47141410","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"van Hemmen, Mirjam","nameType":"Personal","givenName":"Mirjam","familyName":"van Hemmen","nameIdentifiers":[{"nameIdentifier":"0009-0002-5787-4529","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Ligtenberg, Arend","nameType":"Personal","givenName":"Arend","familyName":"Ligtenberg","nameIdentifiers":[{"nameIdentifier":"0000-0002-2093-7947","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"de Bruin, Sytze","givenName":"Sytze","familyName":"de Bruin","affiliation":[],"nameIdentifiers":[]},{"name":"Vreugdenhil, Corne","givenName":"Corne","familyName":"Vreugdenhil","affiliation":[],"nameIdentifiers":[]},{"name":"de Beurs, Kirsten","givenName":"Kirsten","familyName":"de Beurs","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Data and scripts underlying the publication: Urban scaling of well-being for cities in the Netherlands, the urban centre versus the functional urban area."}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2026,"subjects":[{"subject":"Urban and Regional Planning","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"1205"},{"subject":"FOS: Social and economic geography","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Built Environment and Design","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"12"},{"subject":"Environmental Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"05"},{"subject":"urban scaling"},{"subject":"well-being"},{"subject":"urban health"},{"subject":"city delineations"},{"subject":"Time: 2016-2020"}],"contributors":[{"name":"Laboratory of Geo-information Science and Remote Sensing, Wageningen University \u0026 Research","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2026-02-05","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/50ad4bd7-7e12-4ed7-aca9-c51f47141410.v1","relatedIdentifierType":"DOI"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/50ad4bd7-7e12-4ed7-aca9-c51f47141410.v2","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[".shp .tiff .gpkg .csv .rds .R .png"],"version":"2","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":"The research objective is to see whether indicators of well-being show non-linear urban scaling for cities in the Netherlands. The research uses geo-spatial methods and techniques to obtain well-being values per city, which are then scaled with city size. Different city delineations are compared and analysed with datasets on land use and demographic statistics. Binary dasymetric interpolation is applied to the well-being dataset, using a Dutch residential dataset, to obtain well-being values per city. Datasets used primarily cover well-being and city delineations. The datasets used are freely available online and included in the folder 'Data', for a complete overview and citations refer to the paper (DOI with link will come after publication).The dataset provided here contains the original datasets used for the study: FUA_NL, a dataset with functional urban areas. GHS_SMOD, a dataset with city delineations based on the degree of urbanization method. RIVM, datasets with well-being survey data for the Netherlands (2016). The 'Data' folder further contains datasets by CBS with statistics per grid cell (cbs_vk.._.._vol.gpkg), per administrative unit (wijkenbuurten_...) or information on land use (bbg).The other folders contain main datasets and visualisations produced for the paper.","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"The Netherlands"}],"fundingReferences":[],"xml":"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