U.S. flag

An official website of the United States government

Data from: Implied climate warming contributions of enteric methane emissions are dependent on the estimate source and accounting methodology

    This dataset was used in the generation of the manuscript titled: Implied climate warming contributions of enteric methane emissions are dependent on the estimate source and accounting methodology (DOI: 10.15232/aas.2022-02344). The objectives of this manuscript were to (1) demonstrate the differences in enteric methane emission estimates between 2 reporting entities (FAO and EPA) and to (2) demonstrate how the implied contribution to climate warming caused by enteric methane is dependent on accounting methodologies.

    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.

      Soil Water Content Data for The Bushland, Texas Alfalfa 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.

        Soil Water Content Data for The Bushland, Texas Large Weighing Lysimeter 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.

          SGP97 ARM Parameters for Soil Water Retention Models Data Set

          NAL Geospatial Catalog
            The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Parameters for Soil Water Retention Models Data Set is one of the various sub-surface data sets developed for the ARM/GCIP (Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project) 1996 Near-Surface Observation (NESOB-96) Data Set. This data set contains one table for each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site containing the fitted values of the parameters in the van Genuchten and Brooks-Corey equations for relating soil water pressure to volumetric water content. The soil characterizations were perfomed by Oklahoma State University.

            Kellogg Soil Survey Laboratory (KSSL) POX-C dataset

              Forty two samples were selected from the Kellogg Soil Survey Laboratory (KSSL) archive. The soils (41) were taken from the A horizon except for one sample that came from an O horizon. The samples represented 9 of the 12 US soil Orders, including Mollisols (23), Alfisols (5), Ultisols (5), Andisols (2), Entisols (2), Inceptisols (2), Aridisols (1), Histosols (1) and Vertisols (1). The soils varied widely in SOC (3.0 – 288.4 g kg-1; mean 31 g kg-1), pH (4.3 – 8.5; mean 6.2) and clay content (3.6 – 47.0%; mean 21.5%) The geographic origin of the selected samples and the distribution of SOC concentrations, clay contents and pH values are in the sample selected materials.

              Updated Bottom Up Solution for Triacylglycerols

                This Microsoft Excel workbook (2.712 Mb) contains spreadsheets that implement the Updated Bottom Up Solution for Triacylglycerols that allows Critical Ratios that provide structural information from mass spectrometry to be used to reconstitute the original mass spectra from which they came. It contains spreadsheets that use the non-nested equations (Critical Limits explicitly shown), as well as spreadsheets that used the nested equations (Case determinations made with Critical Limits not explicitly shown).

                Bushland ET Calculator

                  The Bushland Reference ET calculator was developed at the USDA-ARS Conservation and Production Research Laboratory, Bushland, Texas. Although it was designed and developed for use mainly by producers and crop consultants to manage irrigation scheduling, it can also be used in educational training, research, and other practical application. It uses the ASCE Standardized Reference Evapotranspiration (ET) Equation for calculating grass and alfalfa reference ET at hourly and daily time steps. This program uses the more complex equation for estimating clear-sky solar radiation provided in Appendix D of the ASCE-EWRI ET Manual. Users have the option of using single set or time series weather data to calculate reference ET. Daily reference ET can be calculated either by summing the hourly ET values for a given day or by using averages of the climatic data.

                  Bushland Evapotranspiration and Agricultural Remote Sensing System (BEARS) Software

                    Evapotranspiration (ET) is a major component of the hydrologic cycle. ET data are used for a variety of water management and research purposes such as irrigation scheduling, water and crop modeling, streamflow, water availability, and many more. Remote sensing products have been widely used to create spatially representative ET data sets which provide important information from field to regional scales. As UAV capabilities increase, remote sensing use is likely to also increase. For that purpose, scientists at the USDA-ARS research laboratory in Bushland, TX developed the Bushland Evapotranspiration and Agricultural Remote Sensing System (BEARS) software. The BEARS software is a Java based software that allows users to process remote sensing data to generate ET outputs using predefined models, or enter custom equations and models. The capability to define new equations and build new models expands the applicability of the BEARS software beyond ET mapping to any remote sensing application. The software also includes an image viewing tool that allows users to visualize outputs, as well as draw an area of interest using various shapes.

                    Rock Chute Design

                      This Excel spreadsheet is included as a tool to design rock chutes for conservation practices. Median size for rock is determined along with the chute hydraulics and dimensions. This spreadsheet is based on "Design of Rock Chutes" by Robinson, Rice, and Kadavy, ASAE Vol. 41(3), pp. 621-626, 1998. One Spreadsheet version is included. Rock_Chute.xls is intended for Excel in Microsoft Office 97. The program was developed by the Iowa design staffa nd modified by the WI-engineering staff. The Excel file (.xls) ispassword protected. A Glossary is included.