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Excel files containing the data for the paper titled: "Diffuse blue vs. structural silver—comparing alternative strategies for pelagic background matching between two coral reef fishes"
Aug 5, 2020 - Data repository for the paper titled; "Measurement of reef squid polarization patterns with two-dimensional polarization data mapped onto three-dimensional STL meshes."
Brady, Parrish, 2020, "Excel files containing the data for the paper titled: "Diffuse blue vs. structural silver—comparing alternative strategies for pelagic background matching between two coral reef fishes"", https://doi.org/10.18738/T8/ULQZPP, Texas Data Repository, V1
Excel files containing the data for the paper titled: "Diffuse blue vs. structural silver—comparing alternative strategies for pelagic background matching between two coral reef fishes." See Data for creole wrasse vs bar jack.docx for more details
STL files
Aug 5, 2020 - Data repository for the paper titled "Diffuse blue vs. structural silver—comparing alternative strategies for pelagic background matching between two coral reef fishes"
Brady, Parrish, 2020, "STL files", https://doi.org/10.18738/T8/62EZXP, Texas Data Repository, V1
STL files used in the paper
Analysis Programs
Aug 5, 2020 - Data repository for the paper titled "Diffuse blue vs. structural silver—comparing alternative strategies for pelagic background matching between two coral reef fishes"
Brady, Parrish, 2020, "Analysis Programs", https://doi.org/10.18738/T8/DOQSJW, Texas Data Repository, V1
Analysis programs for the data in this repository
Data description
Aug 5, 2020 - Data repository for the paper titled "Diffuse blue vs. structural silver—comparing alternative strategies for pelagic background matching between two coral reef fishes"
Brady, Parrish, 2020, "Data description", https://doi.org/10.18738/T8/6GWTMI, Texas Data Repository, V1
Description and organization of the data in this repository
Data repository for the paper titled "Diffuse blue vs. structural silver—comparing alternative strategies for pelagic background matching between two coral reef fishes"(University of Texas at Austin)
Aug 5, 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, 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, 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, V1
Analysis code for the results presented in the manuscript.
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