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1 to 10 of 420 Results
Aug 10, 2020 - Science
Pierre, Jon Paul; Andrews, John R.; Young, Michael H.; Sun, Alexander Y.; Wolaver, Brad D., 2020, "Projected Landscape Impacts from Oil and Gas Development Scenarios in the Permian Basin, USA", https://doi.org/10.18738/T8/G9IRIG, Texas Data Repository Dataverse, V1
Projecting landscape impacts from energy development is essential to land management decisions. We forecast landscape alteration resulting from oil and gas well pad construction across the economically important Permian Basin of Texas and New Mexico, USA by projecting current lan...
Science(University of Texas at Austin)
Aug 10, 2020Respect Big Bend
Respect Big Bend(University of Texas at Austin)
Aug 10, 2020University of Texas at Austin Dataverse
A partnership to conserve far West Texas Our mission is to inspire and empower stakeholders to conserve the unique resources and protect the iconic communities of the Big Bend Region of Texas while developing energy responsibly. https://respectbigbend.org/
Aug 6, 2020 - Salvatore Calabrese's Dataverse
Calabrese, Salvatore; Souza, Rodolfo, 2020, "Methane emissions from rice field experiments", https://doi.org/10.18738/T8/TGY7TC, Texas Data Repository Dataverse, V1
This dataset contains measurements of methane emissions from 22 field experiments from China, United States, and Denmark. It also includes general information on the conditions under which the experiments were performed.
Aug 6, 2020 - Mavs Dataverse
Hu, Qinhong, 2020, "A pulse-decay method for low permeability analysis of granular porous media: I. Analytical solutions and experimental methodologies", https://doi.org/10.18738/T8/YZJS7Y, Texas Data Repository Dataverse, V1
This dataset is for a manuscript titled "A pulse-decay method for low permeability analysis of granular porous media: I. Analytical solutions and experimental methodologies" being reviewed by Water Resources Research, a journal of American Geophysical Union and Wiley
Aug 5, 2020 - Hydrogeologic Atlas of Southwest Travis County
Cockrell, Lane P.; Hunt, Brian B.; Gary, Robin H.; Smith, Brian A., 2020, "Geodatabase for the Hydrogeologic Atlas of Southwest Travis County, Central Texas", https://doi.org/10.18738/T8/O8OO64, Texas Data Repository Dataverse, V2
The Barton Springs/Edwards Aquifer Conservation District (BSEACD), in cooperation with Travis County, compiled existing and new hydrogeologic data to evaluate groundwater resources in southwestern Travis County (SWTC). Analysis and interpretation of these data provide the foundat...
Jul 31, 2020 - Salvatore Calabrese's Dataverse
Calabrese, Salvatore, 2020, "Chemical Weathering and Climate_v1", https://doi.org/10.18738/T8/M2KQW6, Texas Data Repository Dataverse, V1
The dataset includes chemical depletion data across the globe for granitic, basaltic, and shale soils along with precipitation (P) and potential evapotranspiration (PET) data, and has been used for classifying weathering regimes according to the dryness index (ratio of PET to P).
Salvatore Calabrese's Dataverse(Texas A&M University, Biological and Agricultural Engineering)
Jul 31, 2020Texas A&M University Dataverse
This dataverse includes datasets created and used for our research.
Hydrogeologic Atlas of Southwest Travis County(University of Texas at Austin)
Jul 27, 2020University of Texas at Austin Dataverse
This study presents a compilation of existing and new hydrogeologic data in the form of a hydrogeologic atlas with accompanying digital datasets intended to improve the collective understanding of groundwater resources in SWTC. The study was a collaboration between the Barton Spr...
Jul 16, 2020 - Data files for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers"
Rateb, Ashraf, 2020, "Shapefile of Major Aquifers in the USA", https://doi.org/10.18738/T8/ZMDHK6, Texas Data Repository Dataverse, V1
Shapefile of major aquifers in the USA used in Data files for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers" study by (Rateb et al 2020)
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