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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1,441 to 1,450 of 1,730 Results

Population Research Center(University of Texas at Austin) Jul 2, 2019 The University of Texas at Austin Population Research Center (PRC) aims to provide outstanding infrastructure resources and sustain a dynamic interdisciplinary culture geared toward facilitating the highest level of population-related research among its faculty members and gradua...
Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change" Jul 1, 2019 - Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse Beevers, Christopher, 2019, "Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change"", https://doi.org/10.18738/T8/1JBY2V, Texas Data Repository, V1 Raw data and statistical code accompanied by analysis narrative for reproducing pre- and post-ABM means for attention bias and BDI-II from the published paper. We are providing data to help facilitate meta-analyses in the future.
Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse(University of Texas at Austin) Jul 1, 2019Mood Disorders Laboratory Dataverse Data for published article: Beevers, C. G., Clasen, P. C., Enock, P. M., & Schnyer, D. M. (2015). Attention bias modification for major depressive disorder: Effects on attention bias, resting state connectivity, and symptom change. Journal of Abnormal Psychology, 124(3), 463–475....
Data and analysis code for "Acetaminophen enhances the reflective learning process" Jun 14, 2019 - Acetaminophen and Reflective vs. Reflexive Learning Pearson, Rahel; Koslov, Seth; Hamilton, Bethany; Shumake, Jason; Carver, Charles S.; Beevers, Christopher G., 2019, "Data and analysis code for "Acetaminophen enhances the reflective learning process"", https://doi.org/10.18738/T8/QWXVM2, Texas Data Repository, V1 Raw data and statistical code accompanied by analysis narrative for reproducing key results reported in SCAN article.
Acetaminophen and Reflective vs. Reflexive Learning(University of Texas at Austin) Jun 14, 2019Mood Disorders Laboratory Dataverse Dataverse contains the data, analysis code, and additional analyses related to the following publication: Pearson, R., Koslov, S., Hamilton, B., Shumake, J., Carver, C. S., & Beevers, C. G. (2018). Acetaminophen enhances the reflective learning process. Social Cognitive and Affec...
An Historical Dataset of the Constitutional Referendum Jun 12, 2019 - Constitutional Referenda Dataverse Hudson, Alexander, 2019, "An Historical Dataset of the Constitutional Referendum", https://doi.org/10.18738/T8/P2QKXC, Texas Data Repository, V1 This dataset provides a nearly comprehensive record of all national-level constitutional referenda between 1789 and 2016. Pursuing the most comprehensive coverage possible, the data are sourced from a number of existing datasets and other works. As far as we can tell, one of the...
Constitutional Referenda Dataverse(University of Texas at Austin) Jun 12, 2019 The data stored here record various aspects of the use of referenda in processes of constitutional revision or replacement. The first product in this data collection effort is a dataset encompassing all constitutional referenda at the national level between 1789 and 2016.
Layers Milwaukee Qualitative Jun 7, 2019 - Liesl Nydegger Dataverse Nydegger, Liesl, 2019, "Layers Milwaukee Qualitative", https://doi.org/10.18738/T8/6WJIXG, Texas Data Repository, V1 This project uses longitudinal, qualitative data to evaluate the feasibility and acceptability of adopting pre-exposure prophylaxis to prevent HIV infection among high-risk Black women. In addition, this project explores situational cues, structural and syndemic barriers, and how...
Liesl Nydegger Dataverse(University of Texas at Austin) Jun 7, 2019
Differential expression analyses and novel candidate gene identification Jun 5, 2019 - Transcriptomic Underpinnings of Monogamy in Vertebrates Young, Rebecca, 2018, "Differential expression analyses and novel candidate gene identification", https://doi.org/10.18738/T8/AMG5VD, Texas Data Repository, V3 These scripts assess differential expression between monogamous and non-monogamous species between all clades and across evolutionary subgroupings. Different approaches to differential expression analysis were used to identify novel candidates associated with monogamy. --RRHO.htm...

Population Research Center(University of Texas at Austin)

Jul 2, 2019

The University of Texas at Austin Population Research Center (PRC) aims to provide outstanding infrastructure resources and sustain a dynamic interdisciplinary culture geared toward facilitating the highest level of population-related research among its faculty members and gradua...

Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change"

Jul 1, 2019 - Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse

Beevers, Christopher, 2019, "Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change"", https://doi.org/10.18738/T8/1JBY2V, Texas Data Repository, V1

Raw data and statistical code accompanied by analysis narrative for reproducing pre- and post-ABM means for attention bias and BDI-II from the published paper. We are providing data to help facilitate meta-analyses in the future.

Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse(University of Texas at Austin)

Jul 1, 2019Mood Disorders Laboratory Dataverse

Data for published article: Beevers, C. G., Clasen, P. C., Enock, P. M., & Schnyer, D. M. (2015). Attention bias modification for major depressive disorder: Effects on attention bias, resting state connectivity, and symptom change. Journal of Abnormal Psychology, 124(3), 463–475....

Data and analysis code for "Acetaminophen enhances the reflective learning process"

Jun 14, 2019 - Acetaminophen and Reflective vs. Reflexive Learning

Pearson, Rahel; Koslov, Seth; Hamilton, Bethany; Shumake, Jason; Carver, Charles S.; Beevers, Christopher G., 2019, "Data and analysis code for "Acetaminophen enhances the reflective learning process"", https://doi.org/10.18738/T8/QWXVM2, Texas Data Repository, V1

Raw data and statistical code accompanied by analysis narrative for reproducing key results reported in SCAN article.

Acetaminophen and Reflective vs. Reflexive Learning(University of Texas at Austin)

Jun 14, 2019Mood Disorders Laboratory Dataverse

Dataverse contains the data, analysis code, and additional analyses related to the following publication: Pearson, R., Koslov, S., Hamilton, B., Shumake, J., Carver, C. S., & Beevers, C. G. (2018). Acetaminophen enhances the reflective learning process. Social Cognitive and Affec...

An Historical Dataset of the Constitutional Referendum

Jun 12, 2019 - Constitutional Referenda Dataverse

Hudson, Alexander, 2019, "An Historical Dataset of the Constitutional Referendum", https://doi.org/10.18738/T8/P2QKXC, Texas Data Repository, V1

This dataset provides a nearly comprehensive record of all national-level constitutional referenda between 1789 and 2016. Pursuing the most comprehensive coverage possible, the data are sourced from a number of existing datasets and other works. As far as we can tell, one of the...

Constitutional Referenda Dataverse(University of Texas at Austin)

Jun 12, 2019

The data stored here record various aspects of the use of referenda in processes of constitutional revision or replacement. The first product in this data collection effort is a dataset encompassing all constitutional referenda at the national level between 1789 and 2016.

Layers Milwaukee Qualitative

Jun 7, 2019 - Liesl Nydegger Dataverse

Nydegger, Liesl, 2019, "Layers Milwaukee Qualitative", https://doi.org/10.18738/T8/6WJIXG, Texas Data Repository, V1

This project uses longitudinal, qualitative data to evaluate the feasibility and acceptability of adopting pre-exposure prophylaxis to prevent HIV infection among high-risk Black women. In addition, this project explores situational cues, structural and syndemic barriers, and how...

Liesl Nydegger Dataverse(University of Texas at Austin)

Jun 7, 2019

Differential expression analyses and novel candidate gene identification

Jun 5, 2019 - Transcriptomic Underpinnings of Monogamy in Vertebrates

Young, Rebecca, 2018, "Differential expression analyses and novel candidate gene identification", https://doi.org/10.18738/T8/AMG5VD, Texas Data Repository, V3

These scripts assess differential expression between monogamous and non-monogamous species between all clades and across evolutionary subgroupings. Different approaches to differential expression analysis were used to identify novel candidates associated with monogamy. --RRHO.htm...

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