University of Texas at Austin Dataverse Collection

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.

Polar and Planetary Geophysics

Computational Waves and Optics Imaging Group

LLILAS Benson Latin American Studies and Collections Dataverse

Mood Disorders Laboratory Dataverse

Pavement Science and Engineering

Bridging Barriers Collection

Paleontology Board Game Dataverse

UT Signed Language Research Dataverse

Soft Tissue Biomechanics Laboratory

Hodges Research Group Dataverse

UTCT Dataverse

Texas Robotics

Bureau of Economic Geology

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1,381 to 1,390 of 1,732 Results

Replication Data for: JGR Speciale et al 2020 FTIR data Oct 19, 2019 - Pamela Speciale Dataverse Speciale, Pamela, 2019, "Replication Data for: JGR Speciale et al 2020 FTIR data", https://doi.org/10.18738/T8/Y2ZGRC, Texas Data Repository, V1 CSV files of FTIR spectrum output (first column wavelength, second column absorbance) for the starting material (BGraw) and a deformed sample (w2018). Also includes an Excel table of grain thickness.
Replication Data for: JGR Speciale et al 2020 Mechanical data Oct 19, 2019 - Pamela Speciale Dataverse Speciale, Pamela, 2019, "Replication Data for: JGR Speciale et al 2020 Mechanical data", https://doi.org/10.18738/T8/VQNH7H, Texas Data Repository, V1 These are the CSV files needed to plot mechanical data (i.e., stress-strain curves etc).
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, 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, 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 Collection 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 Collection(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, 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, 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.

Replication Data for: JGR Speciale et al 2020 FTIR data

Oct 19, 2019 - Pamela Speciale Dataverse

Speciale, Pamela, 2019, "Replication Data for: JGR Speciale et al 2020 FTIR data", https://doi.org/10.18738/T8/Y2ZGRC, Texas Data Repository, V1

CSV files of FTIR spectrum output (first column wavelength, second column absorbance) for the starting material (BGraw) and a deformed sample (w2018). Also includes an Excel table of grain thickness.

Replication Data for: JGR Speciale et al 2020 Mechanical data

Oct 19, 2019 - Pamela Speciale Dataverse

Speciale, Pamela, 2019, "Replication Data for: JGR Speciale et al 2020 Mechanical data", https://doi.org/10.18738/T8/VQNH7H, Texas Data Repository, V1

These are the CSV files needed to plot mechanical data (i.e., stress-strain curves etc).

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, 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, 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 Collection

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 Collection(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, 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, 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.

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