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.
Featured Dataverses

In order to use this feature you must have at least one published or linked 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

1,721 to 1,730 of 1,740 Results
Gesture, Speech & Sign Dataverse(University of Texas at Austin)
Sep 1, 2017UT Signed Language Research Dataverse
UT Signed Language Research Dataverse(University of Texas at Austin)
Sep 1, 2017
JGR BernardBehr2017 FTIR data
Aug 13, 2017 - Fabric heterogeneity in the Mojave lower crust and lithospheric mantle in southern California Dataverse
Bernard, Rachel, 2017, "JGR BernardBehr2017 FTIR data", https://doi.org/10.18738/T8/F4WPR1, Texas Data Repository, V1, UNF:6:1/+7cXVxMbjpB3yDmfW6Qg== [fileUNF]
CSV files of FTIR spectrum output (first column wavelength, second column absorbance).
JGR BernardBehr2017 EBSD data
Aug 13, 2017 - Fabric heterogeneity in the Mojave lower crust and lithospheric mantle in southern California Dataverse
Bernard, Rachel, 2017, "JGR BernardBehr2017 EBSD data", https://doi.org/10.18738/T8/SB9TOY, Texas Data Repository, V1
These are the files needed to plot EBSD data using Channel5 or MTEX.
JGR BernardBehr2017 Microprobe data
Aug 13, 2017 - Fabric heterogeneity in the Mojave lower crust and lithospheric mantle in southern California Dataverse
Bernard, Rachel, 2017, "JGR BernardBehr2017 Microprobe data", https://doi.org/10.18738/T8/HIMY3Q, Texas Data Repository, V1, UNF:6:8/M6dw1fvP8gGuClz0JxEw== [fileUNF]
Microprobe data (major oxide percents) from all sessions used to obtain mineral chemistry data published in this paper.
Fabric heterogeneity in the Mojave lower crust and lithospheric mantle in southern California Dataverse(University of Texas at Austin)
Aug 13, 2017
This is a collection of publicly-available data related to the publication Bernard and Behr, 2017 (JGR Solid Earth).
Data-driven criteria to assess fear remission and phenotypic variability of extinction in rats
Aug 3, 2017 - Monfils Fear Memory Lab Dataverse
Shumake, Jason; Jones, Carolyn; Auchter, Allison; Monfils, Marie, 2017, "Data-driven criteria to assess fear remission and phenotypic variability of extinction in rats", https://doi.org/10.18738/T8/HKWKVK, Texas Data Repository, V1
Abstract: Fear conditioning is widely employed to examine the mechanisms that underlie dysregulations of the fear system. Various manipulations are often used following fear acquisition to attenuate fear memories. In rodent studies, freezing is often the main output measure to qu...
Monfils Fear Memory Lab Dataverse(University of Texas at Austin)
Aug 3, 2017
Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression
May 25, 2017 - Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Dataverse
Dainer-Best, Justin; Lee, Hae Yeon; Shumake, Jason; Yeager, David; Beevers, Christopher, 2017, "Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression", https://doi.org/10.18738/T8/XK5PXX, Texas Data Repository, V1, UNF:6:q3PMaMwiCbjLrPJXWpd1cg== [fileUNF]
Abstract: Although the Self-Referent Encoding Task (SRET) is commonly used to measure self-referent cognition in depression, many different SRET metrics can be obtained. The current study used best subsets regression with cross-validation and independent test samples to identify...
Lozano Long Institute of Latin American Studies Dataverse(University of Texas at Austin)
May 5, 2017LLILAS Benson Latin American Studies and Collections Dataverse
The Teresa Lozano Long Institute of Latin American Studies (LLILAS) at The University of Texas at Austin is an interdisciplinary program that integrates more than 30 academic departments and some 160 faculty across the university. It offers programs that lead to BA, MA, and PhD d...
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.