Texas A&M University Dataverse

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1 to 10 of 68 Results

Michael Smotherman Dataverse(Texas A&M University Department of Biology) Aug 28, 2020 Texture discrimination data obtained from bats using biosonar.
Risk Assessment of Copper and Molybdenum and Other Minerals in Feed Ingredients and Finished Feeds(Office of the Texas State Chemist/Texas A and M University) Aug 21, 2020Journal of Regulatory Science This is a risk assessment for 6 mineral contaminants and 4 essential minerals. A total of 1466 samples were collected from 18 product categories during 2010 to 2018. The 18 product categories were divided into 11 finished feed (689 samples) categories and 7 feed ingredient catego...
Journal of Regulatory Science(Texas A and M University) Aug 21, 2020 The Journal of Regulatory Science (JRS) is an online open-access journal intended for scholars with an interest in regulatory science. The JRS publishes free of charge, peer-reviewed scientific manuscripts, proposed standard evaluations and rapid communications to advance the dis...
Clyde Findlay Dataverse Aug 12, 2020
Salvatore Calabrese's Dataverse(Texas A&M University, Biological and Agricultural Engineering) Jul 31, 2020 This dataverse includes datasets created and used for our research.
CastilloEtAl_ScaleFreeHydroConn(Texas A and M University) Jun 26, 2020 This Dataverse contains the data used in the manuscript entitled "Scale-free structure of surface-water connectivity within a lowland river floodplain" by Cesar R Castillo, İnci Güneralp, Billy Hales, and Burak Güneralp. The corresponding author is Cesar R Castillo and can be con...
Roughness Scenarios(Texas A and M University) Jun 8, 2020Impacts of Downed Trees on hydrologic surface connectivity within the Mission River floodplain in Southeast Texas 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, 2020Impacts of Downed Trees on hydrologic surface connectivity within the Mission River floodplain in Southeast Texas 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...
Impacts of Downed Trees on hydrologic surface connectivity within the Mission River floodplain in Southeast Texas(Texas A and M University) Jun 8, 2020FLUD Research Group DataVerse 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 Objec...
FLUD Research Group DataVerse(Texas A and M University) Jun 8, 2020 This DataVerse contains shared data from projects conducted by the Fluvial Landscape Dynamics (FLUD) research group.

Michael Smotherman Dataverse(Texas A&M University Department of Biology)

Aug 28, 2020

Texture discrimination data obtained from bats using biosonar.

Risk Assessment of Copper and Molybdenum and Other Minerals in Feed Ingredients and Finished Feeds(Office of the Texas State Chemist/Texas A and M University)

Aug 21, 2020Journal of Regulatory Science

This is a risk assessment for 6 mineral contaminants and 4 essential minerals. A total of 1466 samples were collected from 18 product categories during 2010 to 2018. The 18 product categories were divided into 11 finished feed (689 samples) categories and 7 feed ingredient catego...

Journal of Regulatory Science(Texas A and M University)

Aug 21, 2020

The Journal of Regulatory Science (JRS) is an online open-access journal intended for scholars with an interest in regulatory science. The JRS publishes free of charge, peer-reviewed scientific manuscripts, proposed standard evaluations and rapid communications to advance the dis...

Clyde Findlay Dataverse

Aug 12, 2020

Salvatore Calabrese's Dataverse(Texas A&M University, Biological and Agricultural Engineering)

Jul 31, 2020

This dataverse includes datasets created and used for our research.

CastilloEtAl_ScaleFreeHydroConn(Texas A and M University)

Jun 26, 2020

This Dataverse contains the data used in the manuscript entitled "Scale-free structure of surface-water connectivity within a lowland river floodplain" by Cesar R Castillo, İnci Güneralp, Billy Hales, and Burak Güneralp. The corresponding author is Cesar R Castillo and can be con...

Roughness Scenarios(Texas A and M University)

Jun 8, 2020Impacts of Downed Trees on hydrologic surface connectivity within the Mission River floodplain in Southeast Texas

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, 2020Impacts of Downed Trees on hydrologic surface connectivity within the Mission River floodplain in Southeast Texas

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...

Impacts of Downed Trees on hydrologic surface connectivity within the Mission River floodplain in Southeast Texas(Texas A and M University)

Jun 8, 2020FLUD Research Group DataVerse

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 Objec...

FLUD Research Group DataVerse(Texas A and M University)

Jun 8, 2020

This DataVerse contains shared data from projects conducted by the Fluvial Landscape Dynamics (FLUD) research group.

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