This dataverse includes datasets as a result of NSF RAPID Award #1760717 that covers the ecological role and impact of downed trees on hydrologic surface connectivity within the Mission River floodplain.

There are two dataverses that have data inputs and products related to Objectives 1 and 2. These are:

Objective 1: Environmental Analyses

Objective 2: Roughness Scenarios

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31 to 34 of 34 Results
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, 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, 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...
Roughness Scenarios(Texas A and M University)
Jun 8, 2020
This dataverse contains the inputs and products of hydrodynamic models with different roughness scenarios. Meshes of different resolution that were utilized in the mesh resolution anlaysis are also included. Mesh Resolution of HEC-RAS Models: Average Point Spacing of 7.5m-15.0m H...
Environmental Analyses(Texas A and M University)
Jun 8, 2020
This dataverse contains data inputs and products from two complimentary analyses: a spatial analysis and a machine learning approach. Both analyses were geared towards understanding relative importance of ecological factors within the Mission River Floodplain. These datasets are...
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