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Welcome to the Texas Data Repository, a research data management system for 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 Dataverse collections, start here.

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    1 to 10 of 2,035 Results
    MAGNets
    MAGNets
    Sep 26, 2022 - University of Texas at Austin Dataverse Collection
    Thomas, Meghna; Sela, Lina, 2022, "MAGNets", https://doi.org/10.18738/T8/P4MCQV, Texas Data Repository, V1
    This repository contains the code files, test networks, and example scripts for release v0.1.7 of Python package MAGNets: Model reduction and AGgregation of water distribution Networks
    Self removal behavior of honey bee workers, raw data
    Sep 21, 2022 - Juliana Rangel Dataverse
    Rangel, Juliana, 2022, "Self removal behavior of honey bee workers, raw data", https://doi.org/10.18738/T8/U5ND7E, Texas Data Repository, V1, UNF:6:H49gaC3+nTq6mhafERiaew== [fileUNF]
    Raw data for self-removal behavior in honey bee workers. Project led by graduate student Jordan Twombly Ellis and PI Dr. Juliana Rangel.
    Juliana Rangel Dataverse(Texas A and M University)
    Sep 21, 2022Texas A&M University Dataverse Repository
    Raw data for self removal project led by graduate student Jordan Twombly Ellis, and PI Dr. Juliana Rangel, Department of Entomology, Texas A&M University
    Observing a trained demonstrator influences associative appetitive learning in rats
    Sep 20, 2022 - Monfils Fear Memory Lab Dataverse
    Monfils, Marie; Agee, Laura, 2022, "Observing a trained demonstrator influences associative appetitive learning in rats", https://doi.org/10.18738/T8/TFEXU5, Texas Data Repository, V1, UNF:6:Av1+9XZ2LbLkams14LDDvg== [fileUNF]
    The ability to acquire information about the environment through social observation or instruction is an essential form of learning in humans and other animals. Here, we assessed the ability of rats to acquire an association between a light stimulus and the presentation of a rewa...
    Weights of the tested models
    Sep 17, 2022 - Human Signals Lab Dataverse
    Liang, Dawei, 2022, "Weights of the tested models", https://doi.org/10.18738/T8/S5RTFH, Texas Data Repository, V1
    Weights of the tested models for paper "AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models". Liang et al. 2022
    Replication Data for: Records of Himalayan Metamorphism and Contractional Tectonics in the central Himalayas (Darondi Khola, Nepal)
    Sep 13, 2022 - University of Texas at Austin Dataverse Collection
    Catlos, Elizabeth, 2022, "Replication Data for: Records of Himalayan Metamorphism and Contractional Tectonics in the central Himalayas (Darondi Khola, Nepal)", https://doi.org/10.18738/T8/OLZIJM, Texas Data Repository, V1, UNF:6:cuvX8275SeLorQQTFRevhQ== [fileUNF]
    Replication Data for: Records of Himalayan Metamorphism and Contractional Tectonics in the central Himalayas (Darondi Khola, Nepal). The Excel spreadsheet (Dataset S1) includes tabs for all input data and modeling results used to generate the high-resolution P-T paths. The Excel...
    RDM Intervention 1
    Sep 12, 2022 - RDM project 2021-2022
    Xu, Zhihong, 2022, "RDM Intervention 1", https://doi.org/10.18738/T8/NQLIJE, Texas Data Repository, V1, UNF:6:dwH15GPO0FaL+DvKf8X7eQ== [fileUNF]
    This de-identified dataset is used to analyze the effect of an online RDM instruction on social science graduate students' RDM skills.
    RDM project 2021-2022(Texas A and M University)
    Sep 12, 2022Texas A&M University Dataverse Repository
    Cells-In-Wells
    Sep 11, 2022 - Shevkoplyas Lab's Erythrocyte Collection
    Routt, Austin H.; Lu, Madeleine; Shevkoplyas, Sergey S., 2022, "Cells-In-Wells", https://doi.org/10.18738/T8/PSQKWF, Texas Data Repository, V2
    Cells-In-Wells (CIW) contains images, videos, binary masks, bounding boxes, morphology labels, cell tracking data, and other metrics of red blood cells (RBCs) in microfluidic wells undergoing washing in human serum albumin, saline, or autologous storage medium. RBC units are from...
    Morphological Heterogeneity
    Sep 11, 2022 - Shevkoplyas Lab's Erythrocyte Collection
    Routt, Austin H.; Piety, Nathaniel Z.; Villarreal, Natalia; Shevkoplyas, Sergey S., 2022, "Morphological Heterogeneity", https://doi.org/10.18738/T8/76JRDQ, Texas Data Repository, V1, UNF:6:rbmwxav7xqARstjQd+cXjg== [fileUNF]
    The "Morphological Heterogeneity" (MH) dataset contains images, binary masks, bounding boxes, morphology labels, and other metrics of red blood cells (RBCs) flowing through a microfluidic device. RBCs are from seven different units of blood at 6, 7, and 8 weeks of storage. Bright...
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