Metrics
1,338,118 Downloads

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

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.

LEARN MORE

  • Video Tutorials
  • Go to the user guide.
  • Contact a local university liaison librarian for help.
  • Featured Dataverses

    In order to use this feature you must have at least one published dataverse.

    Publish Dataverse

    Are you sure you want to publish your dataverse? Once you do so it must remain published.

    Publish Dataverse

    This dataverse cannot be published because the dataverse it is in has not been published.

    Delete Dataverse

    Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

    Advanced Search

    1 to 10 of 2,799 Results
    May 9, 2024 - Elizabeth Catlos Dataverse
    Catlos, Elizabeth, 2024, "Replication Data for "The Ordovician Meteorite Event in North America: Age of the Slate Islands Meteorite Impact, northern Lake Superior, Ontario, Canada"", https://doi.org/10.18738/T8/U0BZ68, Texas Data Repository, V2, UNF:6:8PHY94OV3tc+T9bhgc/GYA== [fileUNF]
    This set forms supplementary data for the Parisi et al. publication "The Ordovician Meteorite Event in North America: Age of the Slate Islands Meteorite Impact, northern Lake Superior, Ontario, Canada"
    May 9, 2024 - Bureau Publications
    White, William Allen; Tremblay, Thomas A.; Waldinger, Rachel L.; Calnan, Thomas R., 2024, "Status and Trends of Wetland and Aquatic Habitats on Barrier Islands, Upper Texas Coast, Galveston and Christmas Bays - GIS Data", https://doi.org/10.18738/T8/176JLT, Texas Data Repository, V1
    Supplemental GIS Data for Status and Trends of Wetland and Aquatic Habitats on Barrier Islands, Upper Texas Coast, Galveston and Christmas Bays A report of the Coastal Coordination Council pursuant to National Oceanic and Atmospheric Administration Award No. NA17OZ2353
    May 8, 2024 - University of Texas at Austin Dataverse Collection
    Tisato, Nicola; Kyle T. Spikes; Nishank Saxena; Ronny Hofmann, 2024, "Dataset of Scattering and Frequency Effects on Ultrasonic Velocities of Carbonates", https://doi.org/10.18738/T8/Z7TCAE, Texas Data Repository, V1, UNF:6:ycZMfZXISZwJSbkBuIs/yg== [fileUNF]
    Dataset of the Journal article "Scattering and Frequency Effects on Ultrasonic Velocities of Carbonates" submitted to the Journal Geophysical Research - Solid Earth
    May 8, 2024 - AVN Dataverse
    Koch, Therese, 2024, "Labeled Zebra Finch Songs", https://doi.org/10.18738/T8/SAWMUN, Texas Data Repository, V1, UNF:6:1j2DTDsP3I0YAri0bwcEWQ== [fileUNF]
    30 random song files from a single day of recording for each of 36 adult male zebra finches. Bird's experimental conditions and song tutors can be found in Bird_list.csv Each bird's .zip contains 30 .wav files of song, 30 .not.mat files with song annotations generated using the *...
    May 8, 2024 - AVN Dataverse
    Koch, Therese, 2024, "Unlabeled Pupil Recordings", https://doi.org/10.18738/T8/AH9GO3, Texas Data Repository, V1, UNF:6:KEAzHEU94W0CnRL1KyQ2YQ== [fileUNF]
    This folder contains song recordings from typical adult zebra finches used to validate the song similarity method proposed in AVN. There is a variable number of song files from each bird. Most contain recordings from a single day of song, but for some birds who sang less frequent...
    May 8, 2024 - AVN Dataverse
    Koch, Therese, 2024, "Unlabeled Tutor Recordings", https://doi.org/10.18738/T8/KGTH00, Texas Data Repository, V1, UNF:6:DfvxD3xmvbZHS3fwdH8dfA== [fileUNF]
    This folder contains song recordings from typical adult zebra finches used to validate the song similarity method proposed in AVN. There is a variable number of song files from each bird. Most contain recordings from a single day of song, but for some birds who sang less frequent...
    May 8, 2024 - AVN Dataverse
    Koch, Therese, 2024, "Labels for Rockefeller Song Library Birds", https://doi.org/10.18738/T8/DN0SIV, Texas Data Repository, V1, UNF:6:LnMvmhUdPZVPGA0mgnmuJw== [fileUNF]
    This dataset contains manual annotations for a random subset of 15 .wav files from each of 25 birds from the Rockefeller Song Library. Additional information about these birds and their song recordings can be found at: http://ofer.hunter.cuny.edu/songs
    May 8, 2024 - AVN Dataverse
    Koch, Therese, 2024, "Unlabeled Song Development Recordings", https://doi.org/10.18738/T8/GJTEDL, Texas Data Repository, V1, UNF:6:IUrZQVDcooIeOYrbDL5t0g== [fileUNF]
    This dataset contains recordings from male zebra finches at multiple age points ranging from 46 to 99 days post hatch (dph). Each bird's zip file contains subfolders named according to the bird's age, with recordings of all songs the bird produced on that day. Subfolders for bird...
    AVN Dataverse(The University of Texas Southwestern Medical Center)
    May 8, 2024UT Southwestern Research Data Repository
    Annotated zebra finch song recordings from *ANV: A Deep Learning Approach for the Analysis of Birdsong*.
    May 8, 2024 - BEG CISR Reports to TXRRC
    Horne, Elizabeth, 2024, "1Q2024 BEG Report to TXRRC Seismic Data Acquisition and Fault Mapping", https://doi.org/10.18738/T8/ROWA0Y, Texas Data Repository, V1
    This Dataverse Dataset will contain the preliminary and (ultimately) final versions of the report: Interagency Cooperation Contract between The Railroad Commission of Texas and The University of Texas at Austin Bureau of Economic Geology for Geophysical Data Acquisition and Fault...
    Add Data

    Log in to create a dataverse or add a dataset.

    Share Dataverse

    Share this dataverse on your favorite social media networks.

    Link Dataverse
    Reset Modifications

    Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.