{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "R/P1Y", "bureauCode": ["005:18"], "contactPoint": {"fn": "Douglas-Mankin, Kyle", "hasEmail": "mailto:Kyle.Mankin@usda.gov"}, "description": "<p dir=\"ltr\">We investigated drivers of sub-field spatial variability in yield for 3 crops (hard red winter wheat, <i>Triticum aestivum</i> L. variety Langin; corn, <i>Zea mays</i> L.; and proso millet, <i>Panicum milaceum</i> L.) usings this multi-year dataset from a dryland research farm in northeastern Colorado, USA. The dataset spanned 18 2.6-4.3 ha management units collected over 4 years (2019-2022). The data includes high resolution topographic data collected via real-time kinematic GPS, densely sampled soil texture and chemical properties, and meteorological data from an on-site weather station.</p>", "distribution": [{"@type": "dcat:Distribution", "downloadURL": "https://ndownloader.figshare.com/files/54132527", "format": "csv", "mediaType": "text/csv", "title": "Modeling_data.csv"}, {"@type": "dcat:Distribution", "downloadURL": "https://ndownloader.figshare.com/files/54132539", "format": "csv", "mediaType": "text/csv", "title": "Data_dictionary.csv"}, {"@type": "dcat:Distribution", "downloadURL": "https://ndownloader.figshare.com/files/54132677", "format": "tif", "mediaType": "image/tiff", "title": "Study_site_DEM.tif"}], "identifier": "10.15482/USDA.ADC/28914434.v1", "keyword": ["dryland", "machine learning", "precision agriculture", "rainfed", "random forest", "spatial variability.", "topographic position index", "yield"], "license": "https://creativecommons.org/publicdomain/zero/1.0/", "modified": "2025-11-21", "programCode": ["005:040"], "publisher": {"@type": "org:Organization", "name": "Agricultural Research Service"}, "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-103.1482923836, 40.1494161291], [-103.1479314553, 40.1626982725], [-103.1199392655, 40.1622469882], [-103.120305641, 40.1489650556], [-103.1482923836, 40.1494161291]]]}", "temporal": "2019-01-01/2022-12-31", "title": "Data from: Topographic position index predicts within-field yield variation in a dryland cereal production system"}