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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.

Paleontology Board Game Dataverse

CDBN Genomics

Mood Disorders Laboratory Dataverse

Bridging Barriers Dataverse

Liesl Nydegger Dataverse

Center for Transportation Research

Spot-tailed Earless Lizard

Architecture & Planning Library and Alexander Archives

Pamela Speciale Dataverse

Center for Space Research Dataverse

Population Research Center

Texas Soil Observation Network (TxSON)

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LLILAS Benson Latin American Studies and Collections Dataverse

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Transcriptomic Underpinnings of Monogamy in Vertebrates

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Schorghofer_RSL_HiRISE_DEMs

Lattice Models of Fracture

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Constitutional Referenda Dataverse

Hydrocarbon Production Data

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Centering Donor Consent Dataverse

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UT Signed Language Research Dataverse

German Alvarez Dataverse

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Experimental Data for Curb Opening Inlets

R for Geospatial Analysis

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

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Convection-Enhanced Arborizing Catheter System Improves Local/Regional Delivery of Infusates versus a Single-port Catheter in Ex Vivo Porcine Brain Tissue

Jezero Delta, Mars 3D Print File

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1 to 10 of 512 Results

Search details for Ai Chi scoping review Jul 29, 2020 - Ai Chi Scoping Review Dunlap, Emily, 2020, "Search details for Ai Chi scoping review", https://doi.org/10.18738/T8/I5WX7U, Texas Data Repository Dataverse, V1 This excel sheet lists specific search terms and results for Ai Chi scoping review 2020
Ai Chi Scoping Review(University of Texas at Austin) Jul 29, 2020 This dataverse contains relevant information for a scoping review. The purpose of the review is to summarize available research on Ai Chi for balance, pain, functional mobility, and QoL in adults. The qualitative analysis reveals a number of favorable results with benefits from A...
Hydrogeologic Atlas of Southwest Travis County(University of Texas at Austin) Jul 27, 2020 This study presents a compilation of existing and new hydrogeologic data in the form of a hydrogeologic atlas with accompanying digital datasets intended to improve the collective understanding of groundwater resources in SWTC. The study was a collaboration between the Barton Spr...
Data munging code for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD trial" Jul 24, 2020 - SNPs, prediction, and STARD trial Shumake, Jason, 2020, "Data munging code for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"", https://doi.org/10.18738/T8/NVAUFR, Texas Data Repository Dataverse, V1 Data munging code
Primary analysis code and report for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD trial" Jul 24, 2020 - SNPs, prediction, and STARD trial Shumake, Jason, 2020, "Primary analysis code and report for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"", https://doi.org/10.18738/T8/YC49CY, Texas Data Repository Dataverse, V1 Analysis code for the results presented in the manuscript.
R scripts for snp selection and ensemble learning for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD Jul 24, 2020 - SNPs, prediction, and STARD trial Shumake, Jason, 2020, "R scripts for snp selection and ensemble learning for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD", https://doi.org/10.18738/T8/GHJK6C, Texas Data Repository Dataverse, V1 R scripts for snp selection and ensemble learning in STARD trial.
SNPs, prediction, and STARD trial(University of Texas at Austin) Jul 24, 2020Mood Disorders Laboratory Dataverse Analysis code and supplemental materials for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD trial"
Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach Jul 20, 2020 - Association between negative cognitive bias and depression: A symptom-level approach Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository Dataverse, V2 These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript.
Shapefile of Major Aquifers in the USA Jul 16, 2020 - Data files for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers" Rateb, Ashraf, 2020, "Shapefile of Major Aquifers in the USA", https://doi.org/10.18738/T8/ZMDHK6, Texas Data Repository Dataverse, V1 Shapefile of major aquifers in the USA used in Data files for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers" study by (Rateb et al 2020)
Data file for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers" Jul 16, 2020 - Data files for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers" Rateb, Ashraf, 2020, "Data file for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers"", https://doi.org/10.18738/T8/JSUIJT, Texas Data Repository Dataverse, V1 Supplementary materials for the paper "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers" by (Rateb et al 2020)

Search details for Ai Chi scoping review

Jul 29, 2020 - Ai Chi Scoping Review

Dunlap, Emily, 2020, "Search details for Ai Chi scoping review", https://doi.org/10.18738/T8/I5WX7U, Texas Data Repository Dataverse, V1

This excel sheet lists specific search terms and results for Ai Chi scoping review 2020

Ai Chi Scoping Review(University of Texas at Austin)

Jul 29, 2020

This dataverse contains relevant information for a scoping review. The purpose of the review is to summarize available research on Ai Chi for balance, pain, functional mobility, and QoL in adults. The qualitative analysis reveals a number of favorable results with benefits from A...

Hydrogeologic Atlas of Southwest Travis County(University of Texas at Austin)

Jul 27, 2020

This study presents a compilation of existing and new hydrogeologic data in the form of a hydrogeologic atlas with accompanying digital datasets intended to improve the collective understanding of groundwater resources in SWTC. The study was a collaboration between the Barton Spr...

Data munging code for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"

Jul 24, 2020 - SNPs, prediction, and STAR*D trial

Shumake, Jason, 2020, "Data munging code for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"", https://doi.org/10.18738/T8/NVAUFR, Texas Data Repository Dataverse, V1

Data munging code

Primary analysis code and report for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"

Jul 24, 2020 - SNPs, prediction, and STAR*D trial

Shumake, Jason, 2020, "Primary analysis code and report for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"", https://doi.org/10.18738/T8/YC49CY, Texas Data Repository Dataverse, V1

Analysis code for the results presented in the manuscript.

R scripts for snp selection and ensemble learning for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D

Jul 24, 2020 - SNPs, prediction, and STAR*D trial

Shumake, Jason, 2020, "R scripts for snp selection and ensemble learning for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D", https://doi.org/10.18738/T8/GHJK6C, Texas Data Repository Dataverse, V1

R scripts for snp selection and ensemble learning in STAR*D trial.

SNPs, prediction, and STAR*D trial(University of Texas at Austin)

Jul 24, 2020Mood Disorders Laboratory Dataverse

Analysis code and supplemental materials for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"

Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach

Jul 20, 2020 - Association between negative cognitive bias and depression: A symptom-level approach

Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository Dataverse, V2

These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript.

Shapefile of Major Aquifers in the USA

Jul 16, 2020 - Data files for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers"

Rateb, Ashraf, 2020, "Shapefile of Major Aquifers in the USA", https://doi.org/10.18738/T8/ZMDHK6, Texas Data Repository Dataverse, V1

Shapefile of major aquifers in the USA used in Data files for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers" study by (Rateb et al 2020)

Data file for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers"

Jul 16, 2020 - Data files for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers"

Rateb, Ashraf, 2020, "Data file for "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers"", https://doi.org/10.18738/T8/JSUIJT, Texas Data Repository Dataverse, V1

Supplementary materials for the paper "Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major U.S. Aquifers" by (Rateb et al 2020)

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