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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 from: Field Estimates of Attraction of Ceratitis capitata to Trimedlure and Bactrocera dorsalis (Diptera: Tephritidae) to Methyl Eugenol in Varying Environments

      This package includes the data from field experiments to measure the range of attraction of two "male lures" on two different pest fruit fly species via Mark-Release-Recapture (MRR). These values will be of importance to those seeking to optimize fruit fly detection networks or other networks of traps. Methyl eugenol is found to be more attractive to Bactrocera dorsalis compared with trimedlure to Ceratitis capitata. Data consists of number released, proportion responsive, quality control assay results, and recaptures in traps set in a grid pattern after the release.

      Weighing Lysimeter Data for The Bushland, Texas, Soybean Datasets

        This dataset consists of five years of weighing lysimeter data for soybean [Glycine max (L.) Merr.] grown 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, each in the center of a 4.4-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. This particular dataset contains lysimeter soil water storage and drainage data, and data from in-soil and above-soil sensors. Properties sensed included wind speed, air temperature and relative humidity, components of the radiation balance (e.g., net radiation, incoming and reflected shortwave, photosynthetically active radiation (PAR), incoming and reflected longwave, thermal infrared emitted by the plant/soil surface), soil heat flux, soil temperature, and soil volumetric water content at certain depths. Not all properties were always sensed in any one year.

        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.

          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.

            Weighing Lysimeter Data for The Bushland, Texas Sunflower Datasets

              This dataset consists of two years of weighing lysimeter data for sunflower grown 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. This particular dataset contains lysimeter soil water storage and drainage data, and data from in-soil and above-soil sensors. Properties sensed included wind speed, air temperature and relative humidity, components of the radiation balance (e.g., net radiation, incoming and reflected shortwave, photosynthetically active radiation (PAR), incoming and reflected longwave, thermal infrared emitted by the plant/soil surface), soil heat flux, soil temperature, and soil volumetric water content at certain depths. Not all properties were always sensed in any one year.

              Data from: Vegetation index-based partitioning of evapotranspiration is deficient in grazed systems

                The dataset includes 30 minutes values of partitioned evaporation (E) and transpiration (T), T:ET ratios, and other ancillary datasets for three ET partitioning methods viz. Flux Variance Similarity (FVS) method, Transpiration Estimation Algorithm (TEA), and Underlying Water Use Efficiency (uWUE) method for the three wheat sites. The dataset also contains remote sensing-derived Enhanced Vegetation Index (EVI) data for each site.

                Weighing Lysimeter Data for The Bushland, Texas Winter Wheat Datasets

                  This dataset consists of six years of weighing lysimeter data for winter wheat grown 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 the 1989-1990, 1991-1992, and 1992-1993 seasons. Winter wheat 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. This particular dataset contains lysimeter soil water storage and drainage data, and data from in-soil and above-soil sensors. Properties sensed included wind speed, air temperature and relative humidity, components of the radiation balance (e.g., net radiation, incoming and reflected shortwave, photosynthetically active radiation (PAR), incoming and reflected longwave, thermal infrared emitted by the plant/soil surface), soil heat flux, soil temperature, and soil volumetric water content at certain depths. Not all properties were always sensed in any one year.

                  Data from: Vegetation index-based partitioning of evapotranspiration is deficient in grazed systems

                    The dataset includes 30 minutes values of partitioned evaporation (E) and transpiration (T), T:ET ratios, and other ancillary datasets for three ET partitioning methods viz. Flux Variance Similarity (FVS) method, Transpiration Estimation Algorithm (TEA), and Underlying Water Use Efficiency (uWUE) method for the three wheat sites. The dataset also contains remote sensing-derived Enhanced Vegetation Index (EVI) data for each site.