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1 to 10 of 22 Results
May 13, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Flood Hazard Modeling Output", https://doi.org/10.18738/T8/FVJFSW, Texas Data Repository Dataverse, V2
The results from a flood hazard study using the Random Forest Classification method to predict the probability of flooding at 30-m resolution for a 30,523 km2 area. We generate flood hazard maps for twelve USGS 8-digit watersheds along the coast in southeast Texas.
May 7, 2020 - Amelia Acker Dataverse
Acker, Amelia, 2020, "Fostering Communities of Practice: Software Preservation and Emulation in Libraries, Archives and Museums", https://doi.org/10.18738/T8/U4ZJIJ, Texas Data Repository Dataverse, V1
Fostering Communities of Practice: Software Preservation and Emulation in Libraries, Archives and Museums, IMLS grant RE-95-17-0058-17.
May 6, 2020 - Local and Long-Distance Acoustic Effects of Emphatic Coronals and Primary Pharyngeals
Faircloth, Laura, 2020, "Replication Data for: Local and Long-Distance Acoustic Effects of Emphatic Coronals and Primary Pharyngeals", https://doi.org/10.18738/T8/VRRS6H, Texas Data Repository Dataverse, V1
Soundfiles (.wav) and Praat TextGrids (.TextGrid) for this project. (This data is embargoed while awaiting publication and will be available at this DOI by May 2022)
May 6, 2020 - Perception of the Plain/Emphatic Contrast
Faircloth, Laura, 2020, "Replication Data for: Perception of the Plain/Emphatic Contrast", https://doi.org/10.18738/T8/NWTEGO, Texas Data Repository Dataverse, V1
This dataset contains the stimuli, stimuli script, experimental script, and results for this project. (This data is embargoed while awaiting publication and will be available at this DOI by May 2022)
May 6, 2020 - Acoustic Differences Between Plain Coronals, Emphatic Coronals, and Primary Pharyngeals
Faircloth, Laura, 2020, "Replication Data for: Acoustic Differences Between Plain Coronals, Emphatic Coronals, and Primary Pharyngeals", https://doi.org/10.18738/T8/PCQCP2, Texas Data Repository Dataverse, V1
Soundfiles (.wav) and Praat TextGrids (.TextGrid) for this project. (This data is embargoed while awaiting publication and will be available at this DOI by May 2022)
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, TWI", https://doi.org/10.18738/T8/85LBLA, Texas Data Repository Dataverse, V1
TWI is calculated by the following equation: TWI= Ln ((flow_accumulation * 900) + 1 )/(Tan((slope*π)/180 )) Where high values of TWI are associated with areas that are concave, low gradient areas where water often accumulates and pools making them more vulnerable to floods.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Average Roughness", https://doi.org/10.18738/T8/5ZQMXV, Texas Data Repository Dataverse, V1
Roughness values were assigned to each NLCD land cover class using the values suggested by Kalyanapu (2009), and, like KSAT, was averaged across the contributing upstream area for each raster cell for 2016. Kalyanapu, A.J., Burian, S.J. & McPherson, T.N., 2010. Effect of land use...
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Distance to Coast", https://doi.org/10.18738/T8/YYWO9P, Texas Data Repository Dataverse, V1
Distance to coast were calculated using Euclidean Distance based on the National Hydrography Dataset (NHD) stream and coastline features.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Average Ksat", https://doi.org/10.18738/T8/UKAGX0, Texas Data Repository Dataverse, V1
KSAT values were assigned to soil classes obtained from the Natural Resources Conservation Service’s (NRCS) Soil Service Geographic Database (SSURGO) , and then averaged across the upstream area for each cell. (2020-04-28)
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Elevation", https://doi.org/10.18738/T8/BPARY8, Texas Data Repository Dataverse, V1
Elevation was calculated using the National Elevation Dataset (NED), which was provided as a seamless raster product via the LANDFIRE website at a 30-m resolution. For more information on the initial dataset see : https://www.landfire.gov/elevation.php
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