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21 to 30 of 125 Results
May 24, 2020 - Jihui Ding Dataverse
Ding, Jihui, 2020, "Datasets: Changes in anelasticity and grain boundary processes with stress cycling in semibrittle salt-rocks", https://doi.org/10.18738/T8/QCHJEM, Texas Data Repository Dataverse, V1
Cyclic triaxial experiments on synthetic salt-rocks
Apr 1, 2020 - Tamara Jeppson Dataverse
Jeppson, Tamara, 2019, "DFDP-1 and Outcrop Ultrasonics", https://doi.org/10.18738/T8/P0LU5G, Texas Data Repository Dataverse, V6
Laboratory ultrasonic velocity measurement on samples on DFDP-1 core samples and Alpine Fault outcrop samples
Nov 30, 2019 - Tamara Jeppson Dataverse
Jeppson, Tamara, 2019, "DFDP-2 Sonic log", https://doi.org/10.18738/T8/9AZIEL, Texas Data Repository Dataverse, V1
reprocessed sonic log from the Deep Fault Drilling Project Phase 2 borehole
Jun 9, 2020 - Roughness Scenarios
FLUD Research Group, 2020, "Differences in Water Surface Elevation Between Roughness Scenarios: Landcover+10% - Landcover+5%", https://doi.org/10.18738/T8/QVSE8E, Texas Data Repository Dataverse, V1
Raster maps of differences in water surface elevation (WSE) that are based on output from the HEC-RAS 5.0.7 2D hydrodynamic model (Brunner, 2016). The differences are between common flow stages at different roughness scenarios where patches associated with downed trees are 10% gr...
Jun 9, 2020 - Roughness Scenarios
FLUD Research Group, 2020, "Differences in Water Surface Elevation Between Roughness Scenarios: Landcover+25% - Landcover+10%", https://doi.org/10.18738/T8/XCBXG3, Texas Data Repository Dataverse, V1
Raster maps of differences in water surface elevation (WSE) that are based on output from the HEC-RAS 5.0.7 2D hydrodynamic model (Brunner, 2016). The differences are between common flow stages at different roughness scenarios where patches associated with downed trees are 25% gr...
Jun 9, 2020 - Roughness Scenarios
FLUD Research Group, 2020, "Differences in Water Surface Elevation Between Roughness Scenarios: Landcover+50% - Landcover+25%", https://doi.org/10.18738/T8/3CPOPO, Texas Data Repository Dataverse, V1
Raster maps of differences in water surface elevation (WSE) that are based on output from the HEC-RAS 5.0.7 2D hydrodynamic model (Brunner, 2016). The differences are between common flow stages at different roughness scenarios where patches associated with downed trees are 50% gr...
Jun 8, 2020 - Environmental Analyses
FLUD Research Group, 2020, "Digitized Downed/Standing Trees in the Mission River Floodplain", https://doi.org/10.18738/T8/UUAQT7, Texas Data Repository Dataverse, V1
Downed trees (N=9505) were digitized by members of the FLUD Research group (faculty and student researchers). Student researchers consist of graduate and undergraduate students. Undergraduate student researchers worked at the supervision and expertise of faulty and graduate stude...
Nov 18, 2019 - Modeling organically fertilized flooded rice systems in Texas and its long-term effects on grain yield, methane emissions, and soil ecosystem services
Pandey, Aditi, 2019, "DNDC input parameters", https://doi.org/10.18738/T8/5VVMOL, Texas Data Repository Dataverse, V1
Input parameters for calibration with the greenhouse study and validation with the field data are listed.
Dec 30, 2019 - NSF-DDRI-1657739
Castillo, Cesar R, 2019, "DTM_NCALM18_FEMA06_WithChannel", https://doi.org/10.18738/T8/BQOUAJ, Texas Data Repository Dataverse, V1
Digital terrain model (DTM) of the Mission River landscape at a 1-m spatial resolution. This dataset was developed by fusing lidar-based terrain data from the National Center for Airborne Laser Mapping (NCALM; collected in Mar-2018) as part of an NSF grant (Grant ID: NSF-EAR-RAPI...
Jun 26, 2020 - CastilloEtAl_ScaleFreeHydroConn
Castillo, Cesar R, 2020, "DTM_NCALM18_FEMA06_WithChannel", https://doi.org/10.18738/T8/WPDC7L, Texas Data Repository Dataverse, V1
Digital terrain model (DTM) of the Mission River landscape at a 1-m spatial resolution. This dataset was developed by fusing lidar-based terrain data from the National Center for Airborne Laser Mapping (NCALM; collected in Mar-2018) as part of an NSF grant (Grant ID: NSF-EAR-RAPI...
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