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Texas A&M University Dataverse (Texas A&M University)
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1 to 10 of 19 Results
Michael Smotherman Dataverse(Texas A&M University Department of Biology)
Aug 28, 2020
Texture discrimination data obtained from bats using biosonar.
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...
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...
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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