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Share, publish, and archive your data. Find and cite data across all research fields.

Welcome to the Texas Data Repository, a statewide archive of research data from Texas Digital Library (TDL) member institutions. To add, share, and publish your data or work on a project, select your local institutional repository from the institutions below. To find datasets from across Texas institutional dataverses, start here.

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    1 to 10 of 189 Results
    Large-Scale Networks(Texas A and M International)
    Aug 16, 2018Texas A&M International University Dataverse
    Data files for Large-Scale Networks
    Elbin Collado Dataverse(University of Texas at Austin)
    Jul 29, 2018University of Texas at Austin Dataverse
    Texas Drought Contingency Plans & Drought Response Strategies
    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_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...
    Rachel Renbarger Dataverse(Baylor University)
    Jul 25, 20182018 Summer DRIVE Fellows Program
    Rachel Renbarger's project on qualitative research evaluation in education.
    UTA Libraries Dataverse(Univ. of Texas Arlington)
    Jul 18, 2018Mavs Dataverse
    Datasets published by UTA Libraries.
    Rainy and Dry Seasons (RADS)(Texas A and M University)
    Jul 13, 2018Texas A&M University Dataverse
    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.
    Joseph Ji Research(Texas Tech University)
    Jul 11, 2018Texas Tech University Dataverse
    Joseph Ji Dataverse(Texas Tech University)
    Jul 11, 2018Texas Tech University Dataverse
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