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 the data sharing requirements of funders and publishers, to facilitate data citation, to promote collaboration, to enable reproducibility, and to encourage data reuse.
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1,371 to 1,380 of 1,745 Results
Buildings of Texas collection(University of Texas at Austin)
Nov 22, 2019Architecture & Planning Library and Alexander Archives
The Buildings of Texas collection contains source materials for the Society of Architectural Historians' two-volume publication “The Buildings of Texas.” The books catalog the built environment in Texas with architectural profiles of major cities and landmark structures. The coll...
Nov 22, 2019
Nov 22, 2019 - Tianyi Sun Dataverse
Sun, Tianyi; Okumura, Yuko, 2019, "Replication Data for: "Impact of ENSO-like tropical Pacific decadal variability on the relative frequency of El Niño and La Niña events"", https://doi.org/10.18738/T8/XD8GGI, Texas Data Repository, V1
Contains model output for TPDV-ENSO study
Tianyi Sun Dataverse(University of Texas at Austin)
Nov 22, 2019
Nov 20, 2019 - Eric Pianka Dataverse
Pianka, Eric, 2019, "Australia Great Victoria Desert", https://doi.org/10.18738/T8/0NMAA8, Texas Data Repository, V1
Data for Australian Desert Lizards
Nov 20, 2019 - Eric Pianka Dataverse
Pianka, Eric, 2019, "Kalahari Lizards Datai", https://doi.org/10.18738/T8/1JSIFM, Texas Data Repository, V1
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Nov 18, 2019 - Oil spill physics and modeling
Hodges, Ben, 2019, "Extending and improving Texas bay/estuary oil spill simulations", https://doi.org/10.18738/T8/DQWE9F, Texas Data Repository, V1
The Hydrodynamic Oil Spill--Python (HyosPy) system is an integrated modeling system that combines the latest weather forecast with multiple hydrodynamic models and oil spill models that, in a conventional operating mode, can be used to provide predictions of oil spill particle tr...
Oil spill physics and modeling(University of Texas at Austin)
Nov 18, 2019Hodges Research Group Dataverse
Research on oil spill physics and modeling conducted by Ben R. Hodges and collaborators
Burkholderia(University of Texas at Austin)
Nov 15, 2019Planet Texas 2050
Geospatial Analysis of Environmental Suitability for Establishing Burkholderia species in Texas
Good Systems(University of Texas at Austin)
Good Systems logo
Nov 15, 2019Bridging Barriers Collection
Artificial intelligence is changing the way we live and work — often, for the better — but it has the potential to be harmful in ways we fail to predict. Designing AI technologies that benefit society is our grand challenge.
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