Aggregated dataset on planting dates for maize and soybean crops in the US Corn Belt from 2000-2020. This dataset was generated from Landsat satellite data and covers 12 states. The methodology is described in Deines et al. 2023 in Remote Sensing of Environment (open access). Note: Version 2 is identical to Version 1, but includes a file missing from v1 (soybeans_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv) Preferred citation: Deines, J.M., A. Swatantran, D. Ye, B. Myers, S. Archontoulis, & D.B. Lobell. 2023. Field-scale dynamics of planting dates in the US Corn Belt from 2000 to 2020. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2023.113551 Contents Gridded map datasets of planting dates aggregated to 10 km resolution. Map datasets are contained in zip files by crop type. Each zip file contains 21 annual geotiff rasters covering the full study region. Maize_plantingDates_2000-2020_10000m_DeinesEtAl_vRSE.zip Soybeans_plantingDates_2000-2020_10000m_DeinesEtAl_vRSE.zip Tabular county planting date statistics derived from the high-resolution (30 m) planting date maps. This data is presented in .csv format and includes the day-of-year when 10, 25, 50, 75, and 90 percent of crop area was planted for each year. There is one record for each county-year; data files are separated by crop type. maize_countyStats_doyPercentPlanted_2000-2020_DeinesEtAl_vRSE.csv soybeans_countyStats_doyPercentPlanted_2000-2020_DeinesEtAl_vRSE.csv Tabular planting progress by county. These .csv's present the area planted for each crop by county for each day. They can be considered the "raw" version of item #2 (county stats) and can therefore be used to derive other planting progress percentiles other than those provided in item #2. maize_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv soybeans_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv Metadata 1. Planting date maps Value: day-of-year of planting No Data value = -999 (grid cells outside of the study area or lacking maize/soybeans that year) Map projection: EPSG:5070, CONUS Albers Equal Area Maps for 2008-2018 use the USDA's Cropland Data Layers to identify maize pixels; maps for 1999-2007 use the Corn-Soy Data Layer produced by Wang et al. 2000 (data + manuscript are open access). 2. Tabular datasets GEOID = 5 digit county FIPS, or the unique identifier assigned to each county by the US TIGER county dataset county_code = 3 digit county identifier. Represents places 3-5 in the 5 digit code. state_code = 2 digit state identifier. Represents places 1-2 in the 5 digit code. DOY = day-of-year area_daily_m2 = area of that crop planted that day in that county, in square meters doy_X = day-of-year when X% of area was planted that year