Impacts of Downed Trees on hydrologic surface connectivity within the Mission River floodplain in Southeast Texas

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

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

591 to 600 of 819 Results

Stage_850.zip Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario Shapefile as ZIP Archive - 323.6 KB - MD5: 49a79e7c9bb0a38d17717efc8b139101 Polygon shapefile of connected inundation extents that are associated to a flow stage of 8.50m.
Stage_875.zip Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario Shapefile as ZIP Archive - 300.5 KB - MD5: 4de2de7b02b13899767d1c9b06dec468 Polygon shapefile of connected inundation extents that are associated to a flow stage of 8.75m.
Stage_900.zip Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario Shapefile as ZIP Archive - 255.8 KB - MD5: 78aa5c274f3a57abc93d595f6fbaf2d1 Polygon shapefile of connected inundation extents that are associated to a flow stage of 9.00m.
Stage_925.zip Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario Shapefile as ZIP Archive - 252.2 KB - MD5: bd7bf05d816b569aa91570e5bcb01c23 Polygon shapefile of connected inundation extents that are associated to a flow stage of 9.25m.
Stage_950.zip Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario Shapefile as ZIP Archive - 250.1 KB - MD5: 4524f37053bc79f91187bd1d8d58907e Polygon shapefile of connected inundation extents that are associated to a flow stage of 9.50m.
Stage_975.zip Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario Shapefile as ZIP Archive - 230.7 KB - MD5: 2eb7c61dbc859e593e36b7a453ab6f21 Polygon shapefile of connected inundation extents that are associated to a flow stage of 9.75m.
Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0 Jun 9, 2020 - Environmental Analyses FLUD Research Group, 2020, "Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0", https://doi.org/10.18738/T8/GK5DBZ, Texas Data Repository, V1 This dataset (multiple outputs files in a compressed folder) is output from a run of the Maxent ML Model (Phillips et.al., 2006, url: https://biodiversityinformatics.amnh.org/open_source/maxent/) using all digitized downed trees (N=9505) and includes the three environmental varia...
maxent.log Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0 Plain Text - 111.0 KB - MD5: 04bdeb4996f449a40d76698ddc7c6d82 This is a log that consists of the time model is run, maxent software version, command line to invoke model, list of input environmental variables, list of input features, number of replicate runs, computational activities for each replicate, brief description of outputs
maxentResults.csv Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0 Comma Separated Values - 12.1 KB - MD5: b2b185eb96e0a9e5e6fe65f2fbf48292 Contains performance metrics for each model run based on each sample replicate as well as their average. Notable Performance metrics include 1) Variable importance (contribution) for each environmental variable. 2) Variable permutation importance for each environmental variable....
Tree_0_Results.zip Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0 ZIP Archive - 11.8 MB - MD5: 71f0ac57f01f42f760b74c9eceac0e70 Results from a Maxent model based on one of ten replicates for a subset (50% training, 50% testing) of all downed trees. Consists of the following files: (*.asc) - Probability (map) based on training data from replicate sample and generated from Maxent model informed by subset of...

Stage_850.zip

Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario

Shapefile as ZIP Archive - 323.6 KB -

Polygon shapefile of connected inundation extents that are associated to a flow stage of 8.50m.

Stage_875.zip

Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario

Shapefile as ZIP Archive - 300.5 KB -

Polygon shapefile of connected inundation extents that are associated to a flow stage of 8.75m.

Stage_900.zip

Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario

Shapefile as ZIP Archive - 255.8 KB -

Polygon shapefile of connected inundation extents that are associated to a flow stage of 9.00m.

Stage_925.zip

Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario

Shapefile as ZIP Archive - 252.2 KB -

Polygon shapefile of connected inundation extents that are associated to a flow stage of 9.25m.

Stage_950.zip

Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario

Shapefile as ZIP Archive - 250.1 KB -

Polygon shapefile of connected inundation extents that are associated to a flow stage of 9.50m.

Stage_975.zip

Jun 9, 2020 - Flow Inundation Extents: Landcover +50% Roughness Scenario

Shapefile as ZIP Archive - 230.7 KB -

Polygon shapefile of connected inundation extents that are associated to a flow stage of 9.75m.

Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0

Jun 9, 2020 - Environmental Analyses

FLUD Research Group, 2020, "Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0", https://doi.org/10.18738/T8/GK5DBZ, Texas Data Repository, V1

This dataset (multiple outputs files in a compressed folder) is output from a run of the Maxent ML Model (Phillips et.al., 2006, url: https://biodiversityinformatics.amnh.org/open_source/maxent/) using all digitized downed trees (N=9505) and includes the three environmental varia...

maxent.log

Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0

Plain Text - 111.0 KB -

This is a log that consists of the time model is run, maxent software version, command line to invoke model, list of input environmental variables, list of input features, number of replicate runs, computational activities for each replicate, brief description of outputs

maxentResults.csv

Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0

Comma Separated Values - 12.1 KB -

Contains performance metrics for each model run based on each sample replicate as well as their average. Notable Performance metrics include 1) Variable importance (contribution) for each environmental variable. 2) Variable permutation importance for each environmental variable....

Tree_0_Results.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0

ZIP Archive - 11.8 MB -

Results from a Maxent model based on one of ten replicates for a subset (50% training, 50% testing) of all downed trees. Consists of the following files: (*.asc) - Probability (map) based on training data from replicate sample and generated from Maxent model informed by subset of...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications