University of Texas at Austin Dataverse

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The University of Texas at Austin Dataverse 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, and to promote collaboration and reproducibility.

Architecture & Planning Library and Alexander Archives

Paleontology Board Game Dataverse

Mood Disorders Laboratory Dataverse

Bridging Barriers Dataverse

CDBN Genomics

Liesl Nydegger Dataverse

Pamela Speciale Dataverse

Center for Space Research Dataverse

Population Research Center

Tianyi Sun Dataverse

3DEM Dataverse

LLILAS Benson Latin American Studies and Collections Dataverse

Texas Soil Observation Network (TxSON)

Eric Pianka Dataverse

Hodges Research Group Dataverse

UTCT Dataverse

Spot-tailed Earless Lizard

FrehdC - Fine Resolution Environmental Hydrodynamics Model in C

Fabric heterogeneity in the Mojave lower crust and lithospheric mantle in southern California Dataverse

Schorghofer_RSL_HiRISE_DEMs

Lattice Models of Fracture

Transcriptomic Underpinnings of Monogamy in Vertebrates

Constitutional Referenda Dataverse

Hydrocarbon Production Data

Intelligent Environments Laboratory

Ed-tech Network

Kelly Raley Dataverse

Center for Transportation Research

Centering Donor Consent Dataverse

Mary Bock Dataverse

Lauren Schudde's Dataverse

Jacob Schmidt Dataverse

UT Signed Language Research Dataverse

German Alvarez Dataverse

Patience Epps Dataverse

Elbin Collado Dataverse

Keitz Lab Dataverse

Experimental Data for Curb Opening Inlets

R for Geospatial Analysis

Monfils Fear Memory Lab Dataverse

Institute of Classical Archaeology Dataverse

Chatino Language Documentation

Lea Hildebrandt Ruiz Dataverse

Jacinto Cuvi Dataverse

Germanic Studies Dataverse

Harry Ransom Center

Glioblastoma epigenetic profiles

Program in Aegean Scripts and Prehistory Dataverse

Fox Dataverse

Michael Gardner Dataverse

Wilkelab Dataverse

Nighttime Agitation and Restless Legs Syndrome in People With Alzheimer's Disease Dataverse

TCCS Dataverse

Marcos Perez Dataverse

Lomax and Savvaidis, 2019, Improving absolute earthquake location in west Texas using probabilistic, proxy ground-truth station corrections

Shahzad Gani Dataverse

Test Cases for Cheng-Wei Yu, Ben R. Hodges, Frank Liu (2019)

Morphodynamics Dataverse

Denise Schmandt-Besserat

Josh Conrad, School of Architecture

R for Analysis and Visualization

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41 to 50 of 395 Results

Replication Data for: JGR Speciale et al 2020 Grain Size data Oct 19, 2019 - Pamela Speciale Dataverse Speciale, Pamela, 2019, "Replication Data for: JGR Speciale et al 2020 Grain Size data", https://doi.org/10.18738/T8/5NWBS6, Texas Data Repository Dataverse, V1 CSV files of grain size measurements. These do not reflect any geometric correction factor.
Replication Data for: JGR Speciale et al 2020 EBSD data Oct 19, 2019 - Pamela Speciale Dataverse Speciale, Pamela, 2019, "Replication Data for: JGR Speciale et al 2020 EBSD data", https://doi.org/10.18738/T8/PBGSVB, Texas Data Repository Dataverse, V1 These are the files needed to plot EBSD data using Channel5 or MTEX.
Pamela Speciale Dataverse(University of Texas at Austin) Oct 19, 2019
Planet Texas 2050(University of Texas at Austin) Oct 15, 2019Bridging Barriers Dataverse Texas’ population could double by the year 2050. Extreme weather events will bring more floods, more droughts, and more heat. Our state’s resources can’t support those demands. Making Texas resilient is our grand challenge.
Bridging Barriers Dataverse(University of Texas at Austin) Oct 15, 2019 We are bridging barriers between fundamental knowledge and real-world problems by connecting disciplines, techniques, and ways of thinking. Bridging Barriers serves as an incubator for some of the boldest interdisciplinary projects at The University of Texas at Austin by supporti...
Replication Data for: Microbial Reduction of Metal-Organic Frameworks Enables Synergistic Chromium Removal Oct 9, 2019 - Keitz Lab Dataverse Keitz, Benjamin; Springthorpe, Katie; Dundas, Christopher, 2019, "Replication Data for: Microbial Reduction of Metal-Organic Frameworks Enables Synergistic Chromium Removal", https://doi.org/10.18738/T8/XEZ6ZY, Texas Data Repository Dataverse, V1 Raw data for computing averages (reduction rates, biomass conversion, chromium concentrations, etc.), Powder X-ray diffraction (PXRD) spectra,
R for Analysis and Visualization(University of Texas at Austin) Oct 9, 2019
Workshop_Data Oct 9, 2019 - R for Analysis and Visualization Beagle, Emily, 2019, "Workshop_Data", https://doi.org/10.18738/T8/W1QMOV, Texas Data Repository Dataverse, V1 This contains data used for the Data & Donuts workshop on R for Data Analysis and Visualization in Fall 2019. The three files were modified from 2018 EIA Form 860 Data.
Test case data for Reference Slope study with HEC-RAS and SPRNT-RS Sep 23, 2019 - ReferenceSlope Yu, Cheng-Wei; Hodges, Ben R.; Liu, Frank, 2019, "Test case data for Reference Slope study with HEC-RAS and SPRNT-RS", https://doi.org/10.18738/T8/BXJBF5, Texas Data Repository Dataverse, V1 Files for running SPRNT-RS and HEC-RAS on simulation test cases used in the manuscript Yu, Hodges and Liu (2019) "Numerical Modeling of the Saint-Venant Equations: Effects and Adaptions for Bottom Slope Discontinuity".
Evaluation of the performance of the Reference Slope (RS) Method in Simulation Program for River Network (SPRNT) Sep 20, 2019 - ReferenceSlope Yu, Cheng-Wei; Hodges, Ben R.; Liu, Frank, 2019, "Evaluation of the performance of the Reference Slope (RS) Method in Simulation Program for River Network (SPRNT)", https://doi.org/10.18738/T8/GRCB8B, Texas Data Repository Dataverse, V1 The reference slope (RS) method has been proposed to resolve and eliminate possible numerical oscillation caused by the non-Lipschitz continuous source term in the Saint-Venant equations. The primary descriptions of the RS methods are found in Yu et. al. (2019). This technical re...

Replication Data for: JGR Speciale et al 2020 Grain Size data

Oct 19, 2019 - Pamela Speciale Dataverse

Speciale, Pamela, 2019, "Replication Data for: JGR Speciale et al 2020 Grain Size data", https://doi.org/10.18738/T8/5NWBS6, Texas Data Repository Dataverse, V1

CSV files of grain size measurements. These do not reflect any geometric correction factor.

Replication Data for: JGR Speciale et al 2020 EBSD data

Oct 19, 2019 - Pamela Speciale Dataverse

Speciale, Pamela, 2019, "Replication Data for: JGR Speciale et al 2020 EBSD data", https://doi.org/10.18738/T8/PBGSVB, Texas Data Repository Dataverse, V1

These are the files needed to plot EBSD data using Channel5 or MTEX.

Pamela Speciale Dataverse(University of Texas at Austin)

Oct 19, 2019

Planet Texas 2050(University of Texas at Austin)

Oct 15, 2019Bridging Barriers Dataverse

Texas’ population could double by the year 2050. Extreme weather events will bring more floods, more droughts, and more heat. Our state’s resources can’t support those demands. Making Texas resilient is our grand challenge.

Bridging Barriers Dataverse(University of Texas at Austin)

Oct 15, 2019

We are bridging barriers between fundamental knowledge and real-world problems by connecting disciplines, techniques, and ways of thinking. Bridging Barriers serves as an incubator for some of the boldest interdisciplinary projects at The University of Texas at Austin by supporti...

Replication Data for: Microbial Reduction of Metal-Organic Frameworks Enables Synergistic Chromium Removal

Oct 9, 2019 - Keitz Lab Dataverse

Keitz, Benjamin; Springthorpe, Katie; Dundas, Christopher, 2019, "Replication Data for: Microbial Reduction of Metal-Organic Frameworks Enables Synergistic Chromium Removal", https://doi.org/10.18738/T8/XEZ6ZY, Texas Data Repository Dataverse, V1

Raw data for computing averages (reduction rates, biomass conversion, chromium concentrations, etc.), Powder X-ray diffraction (PXRD) spectra,

R for Analysis and Visualization(University of Texas at Austin)

Oct 9, 2019

Workshop_Data

Oct 9, 2019 - R for Analysis and Visualization

Beagle, Emily, 2019, "Workshop_Data", https://doi.org/10.18738/T8/W1QMOV, Texas Data Repository Dataverse, V1

This contains data used for the Data & Donuts workshop on R for Data Analysis and Visualization in Fall 2019. The three files were modified from 2018 EIA Form 860 Data.

Test case data for Reference Slope study with HEC-RAS and SPRNT-RS

Sep 23, 2019 - ReferenceSlope

Yu, Cheng-Wei; Hodges, Ben R.; Liu, Frank, 2019, "Test case data for Reference Slope study with HEC-RAS and SPRNT-RS", https://doi.org/10.18738/T8/BXJBF5, Texas Data Repository Dataverse, V1

Files for running SPRNT-RS and HEC-RAS on simulation test cases used in the manuscript Yu, Hodges and Liu (2019) "Numerical Modeling of the Saint-Venant Equations: Effects and Adaptions for Bottom Slope Discontinuity".

Evaluation of the performance of the Reference Slope (RS) Method in Simulation Program for River Network (SPRNT)

Sep 20, 2019 - ReferenceSlope

Yu, Cheng-Wei; Hodges, Ben R.; Liu, Frank, 2019, "Evaluation of the performance of the Reference Slope (RS) Method in Simulation Program for River Network (SPRNT)", https://doi.org/10.18738/T8/GRCB8B, Texas Data Repository Dataverse, V1

The reference slope (RS) method has been proposed to resolve and eliminate possible numerical oscillation caused by the non-Lipschitz continuous source term in the Saint-Venant equations. The primary descriptions of the RS methods are found in Yu et. al. (2019). This technical re...

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