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Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020

    This dataset contains research data obtained during a long-term subsurface drainage research project conducted at the Southeast Purdue Agricultural Center in Jennings County, Indiana, from 1984 to 2020. The original goals of the project were to evaluate the effects of different subsurface drain spacings (drainage intensities) on drain flow and corn growth and yield. Additional objectives were added over the years, especially related to movement of agricultural chemicals (nitrate-N, other nutrients, and pesticides) through the soil into the drainage waters.

    Transforming Drainage Research Data (USDA-NIFA Award No. 2015-68007-23193)

      This dataset contains research data compiled by the “Managing Water for Increased Resiliency of Drained Agricultural Landscapes” project a.k.a. Transforming Drainage (https://transformingdrainage.org). These data began in 1996 and include plot- and field-level measurements for 39 experiments across the Midwest and North Carolina. Practices studied include controlled drainage, drainage water recycling, and saturated buffers. In total, 219 variables are reported and span 207 site-years for tile drainage, 154 for nitrate-N load, 181 for water quality, 92 for water table, and 201 for crop yield.

      Little Washita River Experimental Watershed, Oklahoma (Flow)

      NAL Geospatial Catalog
        Over the past five decades, the United States Department of Agriculture-Agricultural Research Service (USDA-ARS) and the United States Geological Survey (USGS) have collected stream flow, reservoir, and groundwater data in the Fort Cobb Reservoir Experimental Watershed (FCREW) and Southern Great Plains Research Watershed (SGPRW), which includes the Little Washita River Experimental Watershed (LWREW) in central Oklahoma.

        Upper Washita River Experimental Watersheds: Nutrient Water Quality Data

        NAL Geospatial Catalog
          Climate variability, changing land use and management, and dynamic policy environments are the main reasons why long-term water quality data sets are needed to understand and predict possible water quality outcomes to alternative future scenarios. Such data sets were acquired by the USDA-ARS in three watersheds in Oklahoma: the Southern Great Plains Research Watershed (SGPRW), the Little Washita River Experimental Watershed (LWREW), and the Fort Cobb Reservoir Experimental Watershed (FCREW).

          P-TRAP Phosphorus Transport Reduction App

            The P-TRAP software allows a user to design different types of phosphorus removal structures based on site conditions, phosphorus absorbing material characteristics and structure parameters. The P-TRAP software allows users to explore different designs to meet performance goals for P removal amounts and material lifetime. A database of P absorbing material characteristics is included based on previous laboratory experiments.

            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: Runoff Water Quantity and Quality Data from Native Tallgrass Prairie and Crop-livestock Systems in Oklahoma between 1977 and 1999

                Historic data from the Water Resources and Erosion (WRE) watersheds at Grazinglands Research Laboratory (GRL), USDA-ARS, El Reno, OK. The WRE watersheds are eight 1.6 ha experimental watersheds established and instrumented in 1976 to measure precipitation and surface runoff quantity and quality. Data was collected from 1977 through 1999 and includes precipitation, runoff, sediment loads, water quality (N, P, suspended sediments), and land management data.

                Map of Soil Erosion Risk for the Mancos Shale Formation

                  This product used the rangeland hydrology and erosion model (RHEM) to map erosion risks affecting water quality of the Colorado River that originate on the Mancos Shale formation in Utah, Colorado, New Mexico, and Arizona. This high-resolution map of erosion risk developed from RHEM can help to prioritize specific areas for more intensive study and action.

                  Operational Tillage Information System (OpTIS) tillage, residue, and soil health practice dataset

                    CTIC has partnered with Applied GeoSolutions and The Nature Conservancy on the development, testing and application of the Operational Tillage Information System (OpTIS), an automated system to map tillage, residue cover, winter cover, and soil health practices using remote sensing data. While OpTIS calculations are performed at the farm-field scale using publicly available data, the privacy of individual producers is fully protected by reporting only spatially-aggregated results at regional and watershed scales. OpTIS-based data are currently available for the years 2005 through 2018 for the US Corn Belt, including all of Illinois, Indiana, and Iowa, as well as parts of: Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, Oklahoma, South Dakota, and Wisconsin.