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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.

Growth and Yield Data for the Bushland, Texas, Sorghum Datasets

    This dataset consists of growth and yield data for sorghum [*Sorghum bicolor* (L.)] grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 1988, 1991, 1993, 1997, 1998, 1999, 2003 through 2007, 2014, and 2015 (13 years). In 2006 and 2007, sorghum was also grown for forage. Sorghum was grown on from one to four large, precision weighing lysimeters, each in the center of a 4.44 ha square field, and in those surrounding fields. Water management treatments ranged from irrigation replenishing crop water use fully every week (full) to deficit irrigations ranging down to 1/3 of full, and to dryland cropping without irrigation. Irrigation application methods included sprinkler and subsurface drip irrigation. The entire datasets for individual season years consist of soil water content, weather, crop growth and yield, agronomic calendar, water balance (evapotranspiration, precipitation, dew/frost, irrigation), and lysimeter energy and water balance data. This dataset focuses on the sorghum growth and yield data.

    Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management - v2

      This dataset includes code and data to recreate analysis from the manuscript "Nauman, T. W., Munson, S. M., Dhital, S., Webb, N. P., & Duniway, M. C. (2023). Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management. Science of The Total Environment (p. 164605). https://doi.org/10.1016/j.scitotenv.2023.164605". This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.

      The Bushland, Texas Cotton Datasets

        This parent dataset links to 11 seasons of datasets on upland cotton (Gossypium hirsutum, L.) grown for fiber and seed at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 2000 through 2004, 2008, 2010, 2012, 2020, and 2021 on up to four large, precision weighing lysimeters, each in the center of a 4.44 ha square field similarly cropped. Crops were grown variously under irrigated, deficit irrigated, and dryland conditions. The datasets for individual season years consist of soil water content, weather, crop growth and yield, agronomic calendar, water balance (evapotranspiration, precipitation, dew/frost, irrigation), and lysimeter energy and water balance data.

        The Bushland, Texas Soybean Datasets

          This parent dataset links to five seasons of datasets on soybean [Glycine max (L.) Merr.] grown for seed at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 1995, 2003, 2004, 2010, and 2019. In 1995, 2003, 2004, and 2010, soybean was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. In 2019, soybean was grown on four large, precision weighing lysimeters and on the 4.44 ha square fields surrounding each lysimeter. The datasets for individual season years consist of soil water content, weather, crop growth and yield, agronomic calendar, water balance (evapotranspiration, precipitation, dew/frost, irrigation), and lysimeter energy and water balance data.

          Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management

            This dataset includes code and data to recreate analysis from the manuscript "Nauman, T. W., Munson, S. M., Dhital, S., Webb, N. P., & Duniway, M. C. (2023). Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management. Science of The Total Environment (p. 164605). https://doi.org/10.1016/j.scitotenv.2023.164605". This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.

            The Bushland, Texas Sunflower Datasets

              This parent dataset links to two seasons of datasets on sunflower grown for seed at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 2009, and 2011. Sunflower was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The datasets for individual season years consist of soil water content, weather, crop growth and yield, agronomic calendar, water balance (evapotranspiration, precipitation, dew/frost, irrigation), and lysimeter energy and water balance data.

              Agricultural Model Intercomparison and Improvement Project (AgMIP) Datasets

                Site-based crop modeling data from field experiments, farm surveys, and yield trials. These data are in AgMIP harmonized format, ready for translation to multiple crop model formats using the data translation tools at [http://tools.agmip.org/](http://tools.agmip.org/). Details on AgMIP can be found at [http://www.agmip.org/](http://www.agmip.org/).

                Data from: 'Drowning in Drought': County-level drought vulnerability and adaptive capacity of New Mexico Ranchers

                  To capture the nuances of drought experiences across New Mexico, semi-structured interviews were conducted with New Mexico State University (NMSU) Cooperative Extension Service (CES) agents (livestock, 4-H, Tribal) across the state in June-September 2020. The interviews were guided by the questions “does region matter [for drought adaptation differences], and on what?”

                  Standard Quality Controlled Research Weather Data – USDA-ARS, Bushland, Texas

                    The dataset contains 15-minute weather data from the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). The data are from sensors deployed at standard heights over grass that is irrigated and mowed during the growing season to reference evapotranspiration standards.

                    Soil Water Content Data for The Bushland, Texas, Winter Wheat Experiments

                      This dataset contains soil water content data developed from neutron probe readings taken in access tubes in each of the four large, precision weighing lysimeters and in the fields surrounding each lysimeter at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) beginning in 1989. Readings were taken periodically with a field-calibrated neutron probe at depths from 10 cm to 230 cm (maximum of 190 cm depth in the lysimeters) in 20-cm depth increments. Periods between readings were typically one to two weeks, sometimes longer according to experimental design and need for data. Field calibrations in the Pullman soil series were done every few years. Calibrations typically produced a regression equation with RMSE <= 0.01 m3 m-3. Data were used to guide irrigation scheduling to achieve full or deficit irrigation as required by the experimental design.