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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811 to 820 of 821 Results
Shapefile as ZIP Archive - 3.3 MB - MD5: a43c944c207554967bfa877cb5b85bca
Polygon shapefile that contains counts of downed trees within each stratified level (range) that is a result of the combination of vegetation community and generalized slope (10m) within the model evaluation domain.
Shapefile as ZIP Archive - 1.2 MB - MD5: 2d178067bfa5550382f22bbe566a0dbb
Polygon shapefile that contains counts of downed trees within each vegetation community inside the model evaluation domain.
Shapefile as ZIP Archive - 12.9 MB - MD5: f33488048b926c1c7448049c027aa248
Polygon shapefile that contains counts of downed trees within each stratified level (range) that is a result of the combination of vegetation community and elevation values within the model evaluation domain.
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...
Plain Text - 2.5 KB - MD5: db2844d6fc04e951a18ce26bb05eb002
Originally ModelPerformance.txt. This file is an output table that outputs all of the performance metrics of MaxentVariableSelection that is associated with all digitized downed trees. Performance metrics are discussed in Jueterbock (2016).
Plain Text - 1.3 KB - MD5: 7a3ccd44f64300b730546c9fb49a8f2e
Originally ModelPerformance.txt. This file is an output table that outputs all of the performance metrics of MaxentVariableSelection that is associated with downed trees that have discernible structure. Performance metrics are discussed in Jueterbock (2016).
Comma Separated Values - 881.6 KB - MD5: a1cea38a6b97137b42b31bfd7d54053b
This is an input table of input locations and values associated with each environmental variable that associated with all digitized downed trees.
Comma Separated Values - 416.9 KB - MD5: ea580b44088711a2c7b904800b1e6a3c
This is an input table of input locations and values associated with each environmental variable that associated with downed trees that have discernible structure.
Comma Separated Values - 20.2 MB - MD5: 1f8fa10c9f0c7deb882f749c1d969c04
This is an input table that has locations and associated values of each environmental variable at randomly placed locations throughout the model evluation domain, but are screened to not contain any downed tree locaitons.
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...
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