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The Ag Data Commons is migrating

The Ag Data Commons is migrating to a new institutional portal on Figshare. The current system is available for search and download only. The new platform is open for submission with assistance from Ag Data Commons curators. Please contact NAL-ADC-Curator@usda.gov, if you need to publish or update your datasets.

US Department of Agriculture Soil Climate Analysis Network (SCAN) site 2022 data, Fort Reno, #1, Canadian County, Oklahoma

NAL Geospatial Catalog
    This dataset contains air temperature, relative humidity, precipitation, solar radiation, wind speed, soil temperature, and soil moisture data from the Soil Climate Analysis Network (SCAN) site 2022, "Fort Reno #1," located in Canadian County, Oklahoma. The dataset links to a National Resources Conservation Service data request form, from which available data can be queried. The data collection site is at an elevation of 1400 feet; data has been continuously collected there since 1998-11-12.

    Comparison of four extractants used in soil phosphorus and potassium testing for two soils in a corn-wheat-soybean rotation in Tennessee receiving various amounts of P and K fertilizer

      These soil samples are from field experiments initiated in 2009. There were two separate fertilizer rate trials at each location, one for P and one for K, and each was implemented in a corn-winter wheat-soybean rotation. The soils used in this study are from University of Tennessee (UT)’s Research and Education Center at Milan (35.9, -88.73333) and UT’s Highland Rim Research and Education Center at Springfield (36.466667, -86.816667).

      Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190): ARDN Products

        ARDN (Agricultural Research Data Network) annotations for Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190). These data are a subset of the Sustainable Corn CAP (Cropping Systems Coordinated Agricultural Project: Climate Change, Mitigation, and Adaptation in Corn-based Cropping Systems) data specifically developed for Agricultural Research Data Network with csv and json files for easy ingestion into crop models.

        Data from: Phylogeography of the Wheat Stem Sawfly, Cephus cinctus Norton (Hymenoptera: Cephidae): Implications for Pest Management

          The wheat stem sawfly is a key pest of wheat in the northern Great Plains of North America, and damage resulting from this species has recently expanded southward. The genetic divergence between samples collected in North America and northeastern Asia using two mitochondrial regions (COI and 16S) are examined. The structure of genetic diversity in the main wheat producing areas in North America are also characterized using a combination of mtDNA marker and microsatellites in samples collected both in wheat fields and in grasses in wildlands.

          Data from: Transcriptome profiling of interaction effects of soybean cyst nematodes and soybean aphids on soybean

            Soybean aphid (*Aphis glycines*; SBA) and soybean cyst nematode (*Heterodera glycines*; SCN) are two major pests of soybean (*Glycine max*) in the United States of America. This study aims to characterize three-way interactions among soybean, SBA, and SCN using both demographic and genetic datasets. The data comprises of 47 libraries that are useful for further analyses of important genes, which are involved in interaction effects of SBA and SCN on soybean.

            The Integrated Pest Information Platform for Extension and Education (iPiPE)

              The Integrated Pest Information Platform for Extension and Education (iPiPE) provides an infrastructure with cyberage tools, information products and expert commentary for detection and management of pests that threaten U.S. crops. By categorizing pests, data, and users, it enables sharing observations while protecting privacy of individuals, companies, and government agencies.