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Comparison of methods to detect low levels of Salmonella enterica in surface waters to support antimicrobial resistance surveillance efforts performed in multiple laboratories

    Identifying and developing effective and sensitive detection methods for antimicrobial resistant Salmonella enterica from surface water is a goal of the U.S. National Antimicrobial Resistance Monitoring System (NARMS). No specific microbiological methods used in surveillance efforts for Salmonella enterica or antimicrobial resistant S. enterica in water have been standardized or reported in the U.S. Here we describe a multi-laboratory evaluation of four methods, bulk water enrichment (BW), vertical Modified Moore Swab (VMMS), modified Standard Method 9260.B3 (SM), and dead-end ultrafiltration (DEUF), to recover S. enterica from surface water.

    Alfalfa flux footprint experiment 2021

      Four eddy-covariance (EC) sensors were deployed at two heights upwind and within alfalfa plot trials at San Joaquin Valley Ag Science Center. The purpose of the experiment was to evaluate the robustness of flux footprint models under different atmospheric stability conditions. At each of the two locations, an EC sensor was mounted at an unconventionally low height (~1 meter) and a second at a more typical height (~2.5 m). Supplementary sensors were co-located to measure net radiation, soil heat flux, and other parameters necessary to evaluate closure of the surface energy budget.

      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.

          Legacy Phosphorus and Potassium Correlation Experiments: Qulin, Missouri

            Correlation experiments for P and K were conducted from 1968-1973 at a research farm in Qulin, Missouri to better define the relationships between soil tests, crop yields, and fertilizer treatments. Three crop rotations each were conducted for P and K trials (ranges C, D, E, F, G, and H), and included corn, soybean, wheat, cotton, and sorghum.

            UGA Variety Testing Soybean Evaluations 2016-2019: ARDN products

              ARDN (Agricultural Research Data Network) annotations for UGA Variety Testing Soybean Evaluations 2016-2019. This data was collected and published by University of Georgia's Statewide Variety Testing program from 2016-2019. It consists of experimental (non-regulated) and commercially-released soybean germplasm entered by seed companies, universities and USDA breeding programs.

              UGA Variety Testing Corn Silage Evaluations 2016-2019: ARDN products

                ARDN (Agricultural Research Data Network) annotations for UGA Variety Testing Corn Silage Evaluations 2016-2019. This data was collected and published by University of Georgia's Statewide Variety Testing program from 2014-2019. It consists of experimental (non-regulated) and commercially-released corn hybrids entered by seed companies.

                UGA Variety Testing Corn Grain Evaluations 2014-2019: ARDN products

                  ARDN (Agricultural Research Data Network) annotations for UGA Variety Testing Corn Grain Evaluations 2014-2019. This data was collected and published by University of Georgia's Statewide Variety Testing program from 2014-2019. It consists of experimental (non-regulated) and commercially-released corn hybrids entered by seed companies.

                  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.