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41 to 50 of 124 Results
Jun 8, 2020 - Environmental Analyses
FLUD Research Group, 2020, "Environmental Variables Used in Spatial Analysis", https://doi.org/10.18738/T8/O8GYRJ, Texas Data Repository Dataverse, V1
Polygon shapefiles that comprise levels of six environmental variables are used in conjunction with downed trees to inform the spatial analysis. A census of downed trees is created in each region within each environmental variable. Four environmental variables (elevation, general...
Jun 8, 2020 - Environmental Analyses
FLUD Research Group, 2020, "Environmental Variables Used in Maxent Machine Learning Approach", https://doi.org/10.18738/T8/MJNKOW, Texas Data Repository Dataverse, V1
Six environmental variables are represented as raster maps, and they are used in conjunction with locations of downed trees to inform the variable importance and relationships derived from results of the Maxent ML approach. These variables are processed as ESRI ASCII raster maps...
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...
Jun 8, 2020 - Environmental Analyses
FLUD Research Group, 2020, "Counts of Downed Trees for Levels of Environmental Variables: Results of Spatial Analysis", https://doi.org/10.18738/T8/YHNJAP, Texas Data Repository Dataverse, V1
The following archives consists of polygon shapefiles that contain single and combinations of two environmental variables. Within each of these shapefiles are stratified levels of values, where each level contains counts of ecologically significant points that are associated with...
Jun 8, 2020 - Environmental Analyses
FLUD Research Group, 2020, "MaxentVariableselection Inputs/Outputs", https://doi.org/10.18738/T8/ACTHJO, Texas Data Repository Dataverse, V1
The following files are inputs and outputs to the MaxentVariableSelection procedure (Jueterbock et.al. 2016) that is used to judge which combinations of environmental variables and regularization multiplier (beta parameter) are most effective. MaxentVariableSelection was conducte...
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
May 16, 2020 - Ziming_Ke_Wildfire_Plumes
Ke, Ziming, 2020, "Replication Data for: wildfire_plume_heights_paper1", https://doi.org/10.18738/T8/68P70B, Texas Data Repository Dataverse, V1
data includes the codes for cesm1 and codes for 1D plume-rise model
May 15, 2020 - Huilin Gao Dataverse
Gao, Huilin; Zhao, Gang, 2019, "Global Reservoir Surface Area Dataset (GRSAD)", https://doi.org/10.18738/T8/DF80WG, Texas Data Repository Dataverse, V3
This dataset contains the time series of area values for 6817 global reservoirs (with an integrated capacity of 6099 km3) generated from 1984 to 2015. It was based on the dataset by Pekel et al. (2016), with the contaminations from clouds, cloud shadows, and terrain shadows corre...
May 15, 2020 - Huilin Gao Dataverse
Gao, Huilin, 2020, "Hydropower reservoir data in the CONUS", https://doi.org/10.18738/T8/HZQQWH, Texas Data Repository Dataverse, V1
This dataset contains reservoir elevation, area, storage, and evaporartion data
May 14, 2020 - Ajinkya Deshpande Dataverse
Deshpande, Ajinkya, 2020, "Wetlands_sap flow", https://doi.org/10.18738/T8/UCJLHJ, Texas Data Repository Dataverse, V1
Raw sap flow and climate data for the journal Wetlands
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