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11 to 20 of 166 Results
Aug 20, 2020 - Texas Tech University Dataverse
Chu, Haoran, 2020, "Replication Data for: Their Economy and Our Health: Communicating Climate Change to the Divided American Public", https://doi.org/10.18738/T8/SJZQI6, Texas Data Repository Dataverse, V1
Replication Data for: Their Economy and Our Health: Communicating Climate Change to the Divided American Public
Aug 10, 2020 - Forensic Science Study Dataverse
Sare, Laura, 2019, "Forensic Science Information Seeking 2017 Data", https://doi.org/10.18738/T8/2BAQEO, Texas Data Repository Dataverse, V2
Response data from survey posted to the American Academy of Forensic Sciences in 2017 in fulfillment of NIJ Grant.
Aug 2, 2020 - Pablo Lamino Dataverse
Lamino, Pablo, 2020, "Hearing the other half of the story: An ethnographic study of a female Lenca agricultural cooperative in Honduras about the migration phenomena", https://doi.org/10.18738/T8/0XMUWN, Texas Data Repository Dataverse, V1
The Data was part of a project of understanding the migration thoughts of indigenous women. This was under the policies of IRB, looking to be published in a Journal
Jul 31, 2020 - Social Networks for Social Good Dataverse
Mauldin, Rebecca, 2020, "SEAL, Social Experiences in Assisted Living: Social Network Analysis Data", https://doi.org/10.18738/T8/SYHXPZ, Texas Data Repository Dataverse, V1
This dataset is from a longitudinal social network analysis research project that collected survey data on three separate occasions over a 6-month period from residents in a single assisted living facility. It includes pyschosocial survey data and social network survey data on ac...
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
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.
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.
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.
Jul 8, 2020 - Accessibility in Institutional Repositories
Waugh, Laura; Lyon, Colleen; Shelton, Abigail; Park, Kristi; Hicks, William; Lindsey, Nerissa, 2020, "Accessibility in Institutional Repositories Survey 2019", https://doi.org/10.18738/T8/LUGYPO, Texas Data Repository Dataverse, V1
Survey of accessibility practices for digital content in institutional repositories, including the survey instrument and data collected.
Jun 30, 2020 - Janelle Hedstrom Dataverse
Chiochios, Maria; Hedstrom, Janelle; Pierce Meyer, Katie; Rader, Mary, 2020, "Relationship Between Library Collections and the Recruitment and Retention of Faculty at UT Austin", https://doi.org/10.18738/T8/EAKPUD, Texas Data Repository Dataverse, V1
This study was conducted as part of the Association for Research Libraries' Research Library Impact Framework initiative: https://www.arl.org/category/our-priorities/data-analytics/research-library-impact-framework/
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