{"data":{"id":"10.6084/m9.figshare.19593409.v2","type":"dois","attributes":{"doi":"10.6084/m9.figshare.19593409.v2","prefix":"10.6084","suffix":"m9.figshare.19593409.v2","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Uhl, Johannes H.","givenName":"Johannes H.","familyName":"Uhl","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-4861-5915","nameIdentifierScheme":"ORCID"}],"affiliation":[]},{"name":"Burghardt, Keith","givenName":"Keith","familyName":"Burghardt","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Historical, generalized built-up areas in U.S. core-based statistical areas 1900 - 2015"}],"publisher":"figshare","container":{},"publicationYear":2022,"subjects":[{"subject":"Geography"},{"subject":"120507 Urban Analysis and Development","schemeUri":"http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E","subjectScheme":"FOR"},{"subject":"FOS: Social and economic geography","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"210399 Historical Studies not elsewhere classified","schemeUri":"http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E","subjectScheme":"FOR"},{"subject":"FOS: History and archaeology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2022-04-15","dateType":"Created"},{"date":"2022-04-15","dateType":"Updated"},{"date":"2022","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.19593409","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["65744264 Bytes"],"formats":[],"version":null,"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":"An ESRI Shapfile containing spatially generalized built-up areas for each decade from 1900 to 2010, and for 2015, for each core-based statistical area (CBSA, i.e., metropolitan and micropolitan statistical area) in the conterminous United States. These areas are derived from historical settlement layers from the Historical settlement data compilation for the U.S. (HISDAC-US, Leyk \u0026amp; Uhl 2018). See Burghardt et al. (2022) for details on the data processing. \u003cbr\u003e Additionally, there is a CSV file (HISDAC-US_patch_statistics.csv) containing the counts of built-up property records (BUPR), and -locations (BUPL), as well as total building indoor area (BUI) and built-up area (BUA) per CBSA, year, and patch, extraced from the HISDAC-US data (Uhl \u0026amp; Leyk 2018, Uhl et al. 2021). This CSV can be joined to the shapefile (column uid2) by concatenating the columns msaid_year_Id. \u003cbr\u003e Spatial coverage: all CBSAs that are covered by the HISDAC-US historical settlement layers. This dataset includes around 2,700 U.S. counties. In the remaining counties, construction year coverage in the underlying ZTRAX data (Zillow Transaction and Assessment Dataset) is low. See Uhl et al. (2021) for details. All data created by Johannes H. Uhl, University of Colorado Boulder, USA. Code available at https://github.com/johannesuhl/USRoadNetworkEvolution. References: Burghardt, K., Uhl, J., Lerman, K., \u0026amp; Leyk, S. (2022). Road Network Evolution in the Urban and Rural United States Since 1900. Computers, Environment and Urban Systems. Leyk, S., \u0026amp; Uhl, J. H. (2018). HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years. \u003cem\u003eScientific data\u003c/em\u003e, \u003cem\u003e5\u003c/em\u003e(1), 1-14. DOI: https://doi.org/10.1038/sdata.2018.175 Uhl, J. H., Leyk, S., McShane, C. M., Braswell, A. E., Connor, D. S., \u0026amp; Balk, D. (2021). Fine-grained, spatiotemporal datasets measuring 200 years of land development in the United States. \u003cem\u003eEarth system science data\u003c/em\u003e, \u003cem\u003e13\u003c/em\u003e(1), 119-153. DOI: https://doi.org/10.5194/essd-13-119-2021","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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