<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Dataset</dc:product_type><dc:title>Annual time-series 1-km maps of crop area and types in the conterminous US (CropAT-US) during 1850-2021</dc:title><dc:creator>Ye, Shuchao; Cao, Peiyu; Lu, Chaoqun</dc:creator><dc:corporate_author/><dc:editor/><dc:description>By integrating multi-source cross-scale inventories and satellite-based datasets, we reconstructed the annual crop density and crop type map (excluding summer idle/fallow, cropland pasture) in the contiguous US at 1km×1km resolution from 1850 to 2021. The annual crop density map depicts the distribution and fraction of cultivated land, while the crop type map displays the corresponding crop type. The developed datasets fill the data gap in lacking of crop type extent and type maps, which can support the environmental assessment and socioeconomic analysis related to agricultural activities. (Supplement to: Shuchao, Ye et al. (2023): Annual time-series 1-km maps of crop area and types in the conterminous US (CropAT-US): cropping diversity changes during 1850-2021.)</dc:description><dc:publisher>figshare</dc:publisher><dc:date>2023-05-19</dc:date><dc:nsf_par_id>10590595</dc:nsf_par_id><dc:journal_name/><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation/><dc:issn/><dc:isbn/><dc:doi>https://doi.org/10.6084/m9.figshare.22822838.v1</dc:doi><dcq:identifierAwardId>1945036</dcq:identifierAwardId><dc:subject>Agricultural spatial analysis and modelling</dc:subject><dc:subject>Earth system sciences</dc:subject><dc:size>2230290326 Bytes</dc:size><dc:version_number/><dc:location/><dc:rights>Creative Commons Attribution 4.0 International</dc:rights><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>