The University of Texas at Austin Dataverse Collection serves as a platform for publishing and archiving the University's research data. It was established to help UT-Austin's research community meet data sharing requirements, to facilitate data citation, to promote collaboration, to enable reproducibility, and to encourage reuse.
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 1,455 Results
1Q2024 BEG Report to TXRRC Seismic Data Acquisition and Fault Mapping
1Q2024 BEG Report to TXRRC Seismic Data Acquisition and Fault Mapping
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...
BEG CISR Reports to TXRRC(University of Texas at Austin)
May 8, 2024TexNet-CISR
This Dataverse serves as the durable repository for initial drafts and final reports for contract research work performed by the Center for Injection and Seismicity Research and affiliated UT Austin groups for The Railroad Commission of Texas and to provide public access for the...
Ground-Water and Surface-Water Hydrology of Camp Bowie, Brown County, Texas GIS Data
May 7, 2024 - Bureau Publications
Fisher, R. Stephen; Mace, Robert E.; Boghici, Erika M., 2024, "Ground-Water and Surface-Water Hydrology of Camp Bowie, Brown County, Texas GIS Data", https://doi.org/10.18738/T8/UMVGJP, Texas Data Repository, V1
GIS Data for Camp Bowie from the Ground-Water and Surface-Water Hydrology of Camp Bowie, Brown County, Texas report
Coastal Hazards Atlas of Texas: A Tool for Hurricane Preparedness and Coastal Management – Volume 1 The Southeast Coast Data
Coastal Hazards Atlas of Texas: A Tool for Hurricane Preparedness and Coastal Management – Volume 1 The Southeast Coast Data
May 7, 2024 - Bureau Publications
Gibeaut, James; White, William Allen; Tremblay, Thomas A., 2024, "Coastal Hazards Atlas of Texas: A Tool for Hurricane Preparedness and Coastal Management – Volume 1 The Southeast Coast Data", https://doi.org/10.18738/T8/VU2DUL, Texas Data Repository, V1
Texas Coastal Hazards Atlas Database Structure - Volume 1 I. Bay Erosion II. Cities III. County Boundaries A. County Boundaries IV. Digital Orthophoto Mosaics (doqq) Bolivar Caplen Flake High Island Mud Lake Oyster Bayou Robinson Lake Star Lake Clam Lake Sabine Pass North Galvest...
Bureau Publications(University of Texas at Austin)
May 7, 2024Bureau of Economic Geology
Supporting data or data used in the creation of publications from the Bureau of Economic Geology
Community Embedded Robotics: Vid2Real A Real-World Dataset about Perceived Social Intelligence in Human Robot Encounters
Community Embedded Robotics: Vid2Real A Real-World Dataset about Perceived Social Intelligence in Human Robot Encounters
May 7, 2024 - Texas Robotics
Yao-Cheng Chan; Sadanand Modak; Elliott Hauser; Joydeep Biswas; Justin Hart, 2024, "Community Embedded Robotics: Vid2Real A Real-World Dataset about Perceived Social Intelligence in Human Robot Encounters", https://doi.org/10.18738/T8/UOES4S, Texas Data Repository, V1, UNF:6:OEbVpIwL7YrEEfVIqXzDuA== [fileUNF]
Introduction This dataset was gathered during the Vid2Real real-world study as part of the Vid2Real project, which investigates humans’ perception of robots' intelligence in the context of an incidental Human-Robot encounter. The dataset contains (1) participants' questionnaire r...
Wafer-Scale Si-Based Metal−Insulator−Semiconductor Photoanodes for Water Oxidation Fabricated Using Thin Film Reactions and Multiple-layer Electrodeposited Catalysts
Wafer-Scale Si-Based Metal−Insulator−Semiconductor Photoanodes for Water Oxidation Fabricated Using Thin Film Reactions and Multiple-layer Electrodeposited Catalysts
May 6, 2024 - Edward T. Yu Dataverse
Yu, Edward, 2024, "Wafer-Scale Si-Based Metal−Insulator−Semiconductor Photoanodes for Water Oxidation Fabricated Using Thin Film Reactions and Multiple-layer Electrodeposited Catalysts", https://doi.org/10.18738/T8/K7B0P2, Texas Data Repository, V1
Solar-driven photoelectrochemical (PEC) water splitting offers a promising and environmentally friendly route for the conversion of renewable solar energy to hydrogen gas. A crystalline Si absorber is especially attractive due to its moderate bandgap, high charge mobility, long c...
Elucidating Piezoelectricity and Strain in Monolayer MoS2 at the Nanoscale Using Kelvin Probe Force Microscopy
May 6, 2024 - Edward T. Yu Dataverse
Yu, Edward, 2024, "Elucidating Piezoelectricity and Strain in Monolayer MoS2 at the Nanoscale Using Kelvin Probe Force Microscopy", https://doi.org/10.18738/T8/Q30JTY, Texas Data Repository, V1
Strain engineering modifies the optical and electronic properties of atomically thin transition metal dichalcogenides. Highly inhomogeneous strain distributions in twodimensional materials can be easily realized, enabling control of properties on the nanoscale; however, methods f...
Massively Scalable Self-Assembly of Nano and Microparticle Monolayers via Aerosol Assisted Deposition
May 6, 2024 - Edward T. Yu Dataverse
Yu, Edward, 2024, "Massively Scalable Self-Assembly of Nano and Microparticle Monolayers via Aerosol Assisted Deposition", https://doi.org/10.18738/T8/2VC47D, Texas Data Repository, V1
An extremely rapid process for self-assembling well-ordered, nano, and microparticle monolayers via a novel aerosolized method is presented. The novel technique can reach monolayer self-assembly rates as high as 268 cm2 min−1 from a single aerosolizing source and methods to reach...
Edward T. Yu Dataverse(University of Texas at Austin)
May 6, 2024
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.