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Ag Data Commons migration begins October 18, 2023

The Ag Data Commons is migrating to a new platform – an institutional portal on Figshare. Starting October 18 the current system will be available for search and download only. Submissions will resume after the launch of our portal on Figshare in November. Stay tuned for details!

Reynolds Creek Experimental Watershed, Idaho (Lysimeter)

    Lysimeters are instruments that measure water and/or solute movement in soils. The primary purpose for these lysimeters was to measure evapotranspiration (ET); these data describe changes in soil water during the snow-free season. In addition to measuring changes in total soil water, soil water content profiles and soil temperature profiles were measured within or adjacent to the lysimeters and are reported. Two pairs of soil lysimeters were installed in the RCEW in 1967, one pair at the Lower Sheep Creek climate station (designated the east and west lysimeters), separated, center to center, by 3.6 m, and the other pair at the Reynolds Mountain climate station (designated north and south), separated by 4.7 m. These lysimeters were hydraulic weighing lysimeters in which an inner cylindrical tank containing soil is set within a slightly larger outer cylinder.

    Southern Plains - Micronet

    NAL Geospatial Catalog
      Temporal (5 minute or daily) data from the Little Washita and Ft. Cobb watersheds. Includes precipitation and net radiation (discontinued) along with soil temperature and volumetric water content at 3 depths, 5, 25, and 45 centimeters.

      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.

        Antarctica Soil Climate Research Stations

          Nine long-term soil-climate stations in Antarctica were set up to study the effects of latitude, elevation, and soil age. Stations monitor soil temperature, soil water content, air temperature, relative humidity, solar radiation, and wind (speed and direction). Stations: Bull Pass, Bull Pass East, Don Juan Pond, Granite Harbour, Marble Point, Minna Bluff, Mt. Fleming, Scott Base, Victoria Valley. Information and data presented for each station cover Personnel; Description of Station, Data, and Soils; Graphic Display of Data (HTML); Download Data (daily averages) by Year, (Excel).

          WeedCast Version 4

            The WeedCast Software Suite is a decision aid that currently includes the WeedCast and WheatScout models. These models were created by the USDA ARS and the University of Wisconsin. The software is written in Java and is free to download and use. The source code is released under the GPL.

            SWAGMAN-Whatif

              An interactive computer program was developed to simulate the interactions among the above factors. It shows how changing one factor impacts the outcome of the other factors for a single growing season. The user selects a climate, a crop, and soil characteristics from menu lists, and then sets the water table depth and quality, irrigation (river or well) water quality and then develops an irrigation schedule. On execution, the relative yield reductions due to over irrigation, under irrigation, and salinity, water table rise or fall and surface runoff are shown numerically for the growing season. Soil water content, soil salinity, water table depth changes and rain and irrigation events during the season are also shown graphically.

              Data from: Underestimation of N2O emissions in a comparison of the DayCent, DNDC, and EPIC 1 models

                Process-based models are increasingly used to study mass and energy fluxes from agro-ecosystems, including nitrous oxide (N2O) emissions from agricultural fields. This data set is the output of three process-based models – DayCent, DNDC, and EPIC – which were used to simulate fluxes of N2O from dairy farm soils. The individual models' output and the ensemble mean output were evaluated against field observations from two agricultural research stations in Arlington, WI and Marshfield, WI. These sites utilize cropping systems and nitrogen fertilizer management strategies common to Midwest dairy farms.

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

                  The Sustainable Corn CAP (Cropping Systems Coordinated Agricultural Project: Climate Change, Mitigation, and Adaptation in Corn-based Cropping Systems) was a multi-state transdisciplinary project supported by the USDA National Institute of Food and Agriculture (Award No. 2011-68002-30190). Research experiments were located through the U.S. Corn Belt and examined farm-level adaptation practices for corn-based cropping systems to current and predicted impacts of climate change.