Texas A&M University Dataverse

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Publication Year: 2018

1 to 10 of 12 Results

Yemu Dataverse(Texas A and M University) Jan 4, 2018Ghana Dataverse
TxDOT 0-6863: Pretensioned Concrete Bent Caps(Texas A and M University) 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...
SIPSN(Texas A and M University) Jul 24, 2018Feed the Future Innovation Lab for Small Scale Irrigation Dataverse
Researcher Participation in Research Information Management Systems (RIMSs)(Texas A and M University) 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...
Rainy and Dry Seasons (RADS)(Texas A and M University) Jul 13, 2018 A set of global gridded datasets containing the onset and end dates of the wet season (one date per year) as well as the intensity (accumulated precipitation) and the duration of the wet and dry seasons.
RADS_MERRA2(Texas A and M University) Jul 26, 2018Rainy and Dry Seasons (RADS) A global gridded dataset containing the onset and end dates of the wet season (one date per year) as well as the intensity (accumulated precipitation) and the duration of the wet and dry seasons. This dataset was created using adjusted precipitation from the Modern-Era Retrospect...
RADS_CPC_UNI(Texas A and M University) Jul 26, 2018Rainy and Dry Seasons (RADS) A global gridded dataset containing the onset and end dates of the wet season (one date per year) as well as the intensity (accumulated precipitation) and the duration of the wet and dry seasons. This dataset was calculated using precipitation from the Climate Prediction Center U...
RADS_CHIRPS(Texas A and M University) Sep 17, 2018Rainy and Dry Seasons (RADS)
Joseph Awika Dataverse(Texas A and M University) Oct 5, 2018 Quality and functional attributes of highly digestible sorghum mutants
Gunnar Schade Dataverse(Texas A and M University) Apr 18, 2018 Dr. G.W. Schade, Department of Atmospheric Sciences, created in 2018

Yemu Dataverse(Texas A and M University)

Jan 4, 2018Ghana Dataverse

TxDOT 0-6863: Pretensioned Concrete Bent Caps(Texas A and M University)

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...

SIPSN(Texas A and M University)

Jul 24, 2018Feed the Future Innovation Lab for Small Scale Irrigation Dataverse

Researcher Participation in Research Information Management Systems (RIMSs)(Texas A and M University)

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...

Rainy and Dry Seasons (RADS)(Texas A and M University)

Jul 13, 2018

A set of global gridded datasets containing the onset and end dates of the wet season (one date per year) as well as the intensity (accumulated precipitation) and the duration of the wet and dry seasons.

RADS_MERRA2(Texas A and M University)

Jul 26, 2018Rainy and Dry Seasons (RADS)

A global gridded dataset containing the onset and end dates of the wet season (one date per year) as well as the intensity (accumulated precipitation) and the duration of the wet and dry seasons. This dataset was created using adjusted precipitation from the Modern-Era Retrospect...

RADS_CPC_UNI(Texas A and M University)

Jul 26, 2018Rainy and Dry Seasons (RADS)

A global gridded dataset containing the onset and end dates of the wet season (one date per year) as well as the intensity (accumulated precipitation) and the duration of the wet and dry seasons. This dataset was calculated using precipitation from the Climate Prediction Center U...

RADS_CHIRPS(Texas A and M University)

Sep 17, 2018Rainy and Dry Seasons (RADS)

Joseph Awika Dataverse(Texas A and M University)

Oct 5, 2018

Quality and functional attributes of highly digestible sorghum mutants

Gunnar Schade Dataverse(Texas A and M University)

Apr 18, 2018

Dr. G.W. Schade, Department of Atmospheric Sciences, created in 2018

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