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Texas A&M University Dataverse (Texas A&M University)
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1 to 10 of 13 Results
White Sands National Park(Texas A and M University)
May 4, 2020
Jun 21, 2018
Precast, pretensioned concrete bent caps can provide significant benefits by enabling accelerated construction of bridge substructures and improving longevity by reducing the propensity for cracking. As a part of TxDOT sponsored research Project 0-6863, six full-scale subassembli...
May 8, 2019Timothy Callaghan Dataverse
This Dataverse contains all data needed to replicate the findings of Callaghan and Sylvester 2019 (Plos One).
Texas Bats Data(Texas A and M University)
Jul 29, 2019
Jan 13, 2018
This project addresses the need to have greater knowledge of how to design scalable and reliable solutions for research information and data curation by examining researchers’ perceived value of research information and data services; motivations to participate in and commit to o...
NSF-DDRI-1657739(Texas A and M University)
Dec 29, 2019
This Dataverse serves as the official permanent data repository for the NSF-DDRI-1657739 project. Inci Guneralp is the PI for the project and Cesar R Castillo is the Co-PI.
Michael Smotherman Dataverse(Texas A&M University Department of Biology)
Aug 28, 2020
Texture discrimination data obtained from bats using biosonar.
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...
HAWQS Dataverse(Texas A and M University)
Mar 18, 2020
The HAWQS project (http://hawqs.tamu.edu) developed in cooperation with USDA-ARS and USEPA for the lower 48 states of the conterminous US to model the water quantity and quality due to land management changes using the SWAT (http://swat.tamu.edu) model and associated databases av...
Geoffrey Roest Dataverse(Texas A and M University)
Sep 13, 2017
This dataverse serves as a repository for data used in the following manuscript: Quantifying alkane emissions in the Eagle Ford Shale using boundary layer enhancement, G.S. Roest and G.W. Schade, Atmospheric Chemistry and Physics 17, 1-14, 2017.
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