cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2289385.v12
title: Predictors of pain tolerance and beliefs

description: <b>About</b>The primary content of this repository includes the data, codebook, and analysis scripts (with associated markdown outputs and plots) for random forest analyses of predictors of cold-pain tolerance (cold-pain-tolerance.Rmd, cold-pain-tolerance.md), pressure-pain tolerance (pressure-pain-tolerance.Rmd, pressure-pain-tolerance.md), and acceptance of pain behaviours in males (apbq-male.Rmd, apbq-male.md) in healthy black and white young adults of both sexes in South Africa. Only complete cases were used in the random forest analysis (pain tolerances: 156/212 participants; ABPQ-M: 167/212 participants).<br>The repository also includes the data and codebook used in all bivariate analyses. These analyses were completed using GraphPad Prism 6.0, and the results have not been uploaded to the repository (please contact antonia.wadley@wits.ac.za or peter.kamerman@wits.ac.za for more information).<br>In all cases the data provided are the cleaned, analysis data. Original hardcopies of completed questionnaires are on file.<br><b>License</b>The 'pain-sex-ethnicity' respository by Peter Kamerman and Antonia Wadley is licensed under a Creative Commons Attribution 4.0 International License.<br><b>Overview of the study</b><i>Background: </i>Studies on relationships between sex, ethnicity and pain largely have emanated from the US and Europe. We compared cold (CPT) and pressure pain tolerance (PPT) in male and female South Africans of African and European ancestry and assessed whether psychosocial factors (including pain beliefs) predicted differences in pain tolerance. <br><i>Methods:</i> We recruited 106 (62 female) students of African ancestry and 106 (55 female) of European ancestry and subjected them to a cold-pressor test and pressure algometry. Socioeconomic status (SES), pain catastrophizing, depression, anxiety and pain beliefs were assessed as predictors of pain tolerance. <br><i>Results: </i>CPT was lower in students of African compared to European ancestry (for both sexes), and PPT was lower in female than male students (for both ethnicities). Females were very accepting of men expressing pain and males less so. Males of African ancestry were least accepting but still tolerant. Multivariate analysis identified African ancestry, and particularly being a female of African ancestry as strong predictors of lower CPT. Anxiety was a weak predict of CPT. Sex was the only strong predictor of PPT on multivariate analysis (PPT females &lt; males) and catastrophizing was a weak predictor . Female sex and African ancestry were strong predictors of acceptance of expression of pain in males. SES was a weak predictor of APBQ-M. <br><i>Conclusions: </i>Despite a different cultural and social background from US and European cohorts, we saw similar patterns of sex and ethnic differences in CPT and PPT in an African cohort. Traditional psychosocial predictors of pain sensitivity predicted variation in the outcome variables but were not strong predictors.<br>
DOI: 10.6084/m9.figshare.2951263.v279
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2289385.v13
title: Predictors of pain tolerance and beliefs

description: <b>About</b>The primary content of this repository includes the data, codebook, and analysis scripts (with associated markdown outputs and plots) for random forest analyses of predictors of cold-pain tolerance (cold-pain-tolerance.Rmd, cold-pain-tolerance.md), pressure-pain tolerance (pressure-pain-tolerance.Rmd, pressure-pain-tolerance.md), and acceptance of pain behaviours in males (apbq-male.Rmd, apbq-male.md) in healthy black and white young adults of both sexes in South Africa. Only complete cases were used in the random forest analysis (pain tolerances: 156/212 participants; ABPQ-M: 167/212 participants).<br>The repository also includes the data and codebook used in all bivariate analyses. These analyses were completed using GraphPad Prism 6.0, and the results have not been uploaded to the repository (please contact antonia.wadley@wits.ac.za or peter.kamerman@wits.ac.za for more information).<br>In all cases the data provided are the cleaned, analysis data. Original hardcopies of completed questionnaires are on file.<br><b>License</b>The 'pain-sex-ethnicity' respository by Peter Kamerman and Antonia Wadley is licensed under a Creative Commons Attribution 4.0 International License.<br><b>Overview of the study</b><i>Background: </i>Studies on relationships between sex, ethnicity and pain largely have emanated from the US and Europe. We compared cold (CPT) and pressure pain tolerance (PPT) in male and female South Africans of African and European ancestry and assessed whether psychosocial factors (including pain beliefs) predicted differences in pain tolerance. <br><i>Methods:</i> We recruited 106 (62 female) students of African ancestry and 106 (55 female) of European ancestry and subjected them to a cold-pressor test and pressure algometry. Socioeconomic status (SES), pain catastrophizing, depression, anxiety and pain beliefs were assessed as predictors of pain tolerance. <br><i>Results: </i>CPT was lower in students of African compared to European ancestry (for both sexes), and PPT was lower in female than male students (for both ethnicities). Females were very accepting of men expressing pain and males less so. Males of African ancestry were least accepting but still tolerant. Multivariate analysis identified African ancestry, and particularly being a female of African ancestry as strong predictors of lower CPT. Anxiety was a weak predict of CPT. Sex was the only strong predictor of PPT on multivariate analysis (PPT females &lt; males) and catastrophizing was a weak predictor . Female sex and African ancestry were strong predictors of acceptance of expression of pain in males. SES was a weak predictor of APBQ-M. <br><i>Conclusions: </i>Despite a different cultural and social background from US and European cohorts, we saw similar patterns of sex and ethnic differences in CPT and PPT in an African cohort. Traditional psychosocial predictors of pain sensitivity predicted variation in the outcome variables but were not strong predictors.<br>
DOI: 10.6084/m9.figshare.2885308.v273
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2885308.v274
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v280
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2261215
title: Quantitative analysis of axonal branch dynamics in the developing nervous system

description: The full set of traced movies, and associated Matlab code, from:<br><br>Chalmers, K., Kita, E.M., Scott, E.K. & Goodhill, G.J. (2016).<br>Quantitative analysis of axonal branch dynamics in the developing nervous system. PLoS Computational Biology, 10: e1004813.<br><br>DOI 10.1371/journal.pcbi.1004813<br>
DOI: 10.6084/m9.figshare.2951263.v281
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2261215.v1
title: Quantitative analysis of axonal branch dynamics in the developing nervous system

description: The full set of traced movies, and associated Matlab code, from:<br><br>Chalmers, K., Kita, E.M., Scott, E.K. & Goodhill, G.J. (2016).<br>Quantitative analysis of axonal branch dynamics in the developing nervous system. PLoS Computational Biology, 10: e1004813.<br><br>DOI 10.1371/journal.pcbi.1004813<br>
DOI: 10.6084/m9.figshare.2951263.v282
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2254213
title: Development and Preliminary Validation of the Drinking Expectancy Sexual Vulnerabilities Questionnaire (DESV-Q): A Purpose-Specific Instrument for Rape-Perception Research

description: <i>Background</i>: Alcohol expectancies likely play a role in people's perceptions of alcohol-involved sexual violence. However, no appropriate measure exists to examine this link comprehensively. <i>Objective</i>: The aim of this research was to develop an alcohol expectancy measure which captures young adults' beliefs about alcohol's role in sexual aggression and victimization. <i>Method</i>: Two cross-sectional samples of young Australian adults (18–25 years) were recruited for scale development (Phase 1) and scale validation (Phase 2). In Phase 1, participants (<i>N</i> = 201; 38.3% males) completed an online survey with an initial pool of alcohol expectancy items stated in terms of three targets (self, men, women) to identify the scale's factor structure and most effective items. A revised alcohol expectancy scale was then administered online to 322 young adults (39.6% males) in Phase 2. To assess the predictive, convergent, and discriminant validity of the scale, participants also completed established measures of personality, social desirability, alcohol use, general and context-specific alcohol expectancies, and impulsiveness. <i>Results</i>: Principal axis factoring (Phase 1) and confirmatory factor analysis (Phase 2) resulted in a target-equivalent five-factor structure for the final 66-item Drinking Expectancy Sexual Vulnerabilities Questionnaire (DESV-Q). The factors were labeled (1) Sexual Coercion, (2) Sexual Vulnerability, (3) Confidence, (4) Self-Centeredness, and (5) Negative Cognitive and Behavioral Changes. The measure demonstrated effective items, high internal consistency, and satisfactory predictive, convergent, and discriminant validity. <i>Conclusions</i>: The DESV-Q is a purpose-specific instrument that could be used in future research to elucidate people's attributions for alcohol-involved sexual aggression and victimization.
DOI: 10.6084/m9.figshare.2885308.v275
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2254099
title: Scanning Electronic Microscopy Evaluation of the Roughness of the Stromal Bed After Deep Corneal Cut with the LDV Femtosecond Laser (Z6) (Ziemer) and the ONE Microkeratome (Moria)

description: <i>Purpose</i>: To compare the stromal bed surface quality and the accuracy of dissection depth after deep lamellar cuts using the Leonardo Da Vinci (LDV) femtosecond laser (Z6) and the ONE Microkeratome. <i>Methods</i>: Deep lamellar cuts were performed on nine human donor corneoscleral buttons: five with the LDV femtosecond (FS) laser (Z6) (Ziemer) and four with the ONE Microkeratome (MK) (Moria). Corneal thickness was measured with ultrasound pachymetry before and after the dissection. The Stromal bed quality was evaluated using light microscopy (<i>n</i> = 4) and scanning electron microscopy (SEM) (<i>n</i> = 9). The surface roughness on SEM images was graded on the scale of 1 (smoothest) to 5 (roughest) by four observers, blinded to the method used. Particle analysis on the SEM images was performed in order to have an objective measure of smoothness. <i>Results</i>: The achieved dissection depth using the FS laser was 496.4 ± 46.4 µm when attempting 500 µm and 474 ± 60 µm with the microkeratome when attempting 350 µm. Histological evaluation of the corneoscleral buttons by both light and electron microscopy showed significantly smoother surface using the FS laser compared to the microkeratome. There were fewer and smaller particles observed in the SEM images of FS laser cut buttons (<i>p</i> &lt; 0.001).The average observer based score of anterior surface roughness (50×) was 2.2 for the FS laser and 3.9 for the microkeratome dissections (<i>p</i> &lt; 0.001). <i>Conclusions</i>: The LDV femtosecond laser (Z6) platform is capable of creating deep corneal lamellar dissection with smoother surface quality and with more predictable cut depth as compared to the One Microkeratome.
DOI: 10.6084/m9.figshare.2254099.v1
title: Scanning Electronic Microscopy Evaluation of the Roughness of the Stromal Bed After Deep Corneal Cut with the LDV Femtosecond Laser (Z6) (Ziemer) and the ONE Microkeratome (Moria)

description: <i>Purpose</i>: To compare the stromal bed surface quality and the accuracy of dissection depth after deep lamellar cuts using the Leonardo Da Vinci (LDV) femtosecond laser (Z6) and the ONE Microkeratome. <i>Methods</i>: Deep lamellar cuts were performed on nine human donor corneoscleral buttons: five with the LDV femtosecond (FS) laser (Z6) (Ziemer) and four with the ONE Microkeratome (MK) (Moria). Corneal thickness was measured with ultrasound pachymetry before and after the dissection. The Stromal bed quality was evaluated using light microscopy (<i>n</i> = 4) and scanning electron microscopy (SEM) (<i>n</i> = 9). The surface roughness on SEM images was graded on the scale of 1 (smoothest) to 5 (roughest) by four observers, blinded to the method used. Particle analysis on the SEM images was performed in order to have an objective measure of smoothness. <i>Results</i>: The achieved dissection depth using the FS laser was 496.4 ± 46.4 µm when attempting 500 µm and 474 ± 60 µm with the microkeratome when attempting 350 µm. Histological evaluation of the corneoscleral buttons by both light and electron microscopy showed significantly smoother surface using the FS laser compared to the microkeratome. There were fewer and smaller particles observed in the SEM images of FS laser cut buttons (<i>p</i> &lt; 0.001).The average observer based score of anterior surface roughness (50×) was 2.2 for the FS laser and 3.9 for the microkeratome dissections (<i>p</i> &lt; 0.001). <i>Conclusions</i>: The LDV femtosecond laser (Z6) platform is capable of creating deep corneal lamellar dissection with smoother surface quality and with more predictable cut depth as compared to the One Microkeratome.
DOI: 10.6084/m9.figshare.2254213.v1
title: Development and Preliminary Validation of the Drinking Expectancy Sexual Vulnerabilities Questionnaire (DESV-Q): A Purpose-Specific Instrument for Rape-Perception Research

description: <i>Background</i>: Alcohol expectancies likely play a role in people's perceptions of alcohol-involved sexual violence. However, no appropriate measure exists to examine this link comprehensively. <i>Objective</i>: The aim of this research was to develop an alcohol expectancy measure which captures young adults' beliefs about alcohol's role in sexual aggression and victimization. <i>Method</i>: Two cross-sectional samples of young Australian adults (18–25 years) were recruited for scale development (Phase 1) and scale validation (Phase 2). In Phase 1, participants (<i>N</i> = 201; 38.3% males) completed an online survey with an initial pool of alcohol expectancy items stated in terms of three targets (self, men, women) to identify the scale's factor structure and most effective items. A revised alcohol expectancy scale was then administered online to 322 young adults (39.6% males) in Phase 2. To assess the predictive, convergent, and discriminant validity of the scale, participants also completed established measures of personality, social desirability, alcohol use, general and context-specific alcohol expectancies, and impulsiveness. <i>Results</i>: Principal axis factoring (Phase 1) and confirmatory factor analysis (Phase 2) resulted in a target-equivalent five-factor structure for the final 66-item Drinking Expectancy Sexual Vulnerabilities Questionnaire (DESV-Q). The factors were labeled (1) Sexual Coercion, (2) Sexual Vulnerability, (3) Confidence, (4) Self-Centeredness, and (5) Negative Cognitive and Behavioral Changes. The measure demonstrated effective items, high internal consistency, and satisfactory predictive, convergent, and discriminant validity. <i>Conclusions</i>: The DESV-Q is a purpose-specific instrument that could be used in future research to elucidate people's attributions for alcohol-involved sexual aggression and victimization.
DOI: 10.6084/m9.figshare.2885308.v276
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v283
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v277
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v284
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2252941
title: Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model

description: In this paper, we propose a multilevel process modeling approach to describing individual differences in within-person changes over time. To characterize changes within an individual, repeated measures over time are modeled in terms of three person-specific parameters: a baseline level, intraindividual variation around the baseline, and regulatory mechanisms adjusting toward baseline. Variation due to measurement error is separated from meaningful intraindividual variation. The proposed model allows for the simultaneous analysis of longitudinal measurements of two linked variables (bivariate longitudinal modeling) and captures their relationship via two person-specific parameters. Relationships between explanatory variables and model parameters can be studied in a one-stage analysis, meaning that model parameters and regression coefficients are estimated simultaneously. Mathematical details of the approach, including a description of the core process model—the Ornstein-Uhlenbeck model—are provided. We also describe a user friendly, freely accessible software program that provides a straightforward graphical interface to carry out parameter estimation and inference. The proposed approach is illustrated by analyzing data collected via self-reports on affective states.
DOI: 10.6084/m9.figshare.2885308.v278
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v285
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2252938
title: Calibrated Bayes Factors Should Not Be Used: A Reply to Hoijtink, van Kooten, and Hulsker

description: Hoijtink, Kooten, and Hulsker (2016) present a method for choosing the prior distribution for an analysis with Bayes factor that is based on controlling error rates, which they advocate as an alternative to our more subjective methods (Morey & Rouder, 2014; Rouder, Speckman, Sun, Morey, & Iverson, 2009; Wagenmakers, Wetzels, Borsboom, & van der Maas, 2011). We show that the method they advocate amounts to a simple significance test, and that the resulting Bayes factors are not interpretable. Additionally, their method fails in common circumstances, and has the potential to yield arbitrarily high Type II error rates. After critiquing their method, we outline the position on subjectivity that underlies our advocacy of Bayes factors.
DOI: 10.6084/m9.figshare.2252941.v1
title: Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model

description: In this paper, we propose a multilevel process modeling approach to describing individual differences in within-person changes over time. To characterize changes within an individual, repeated measures over time are modeled in terms of three person-specific parameters: a baseline level, intraindividual variation around the baseline, and regulatory mechanisms adjusting toward baseline. Variation due to measurement error is separated from meaningful intraindividual variation. The proposed model allows for the simultaneous analysis of longitudinal measurements of two linked variables (bivariate longitudinal modeling) and captures their relationship via two person-specific parameters. Relationships between explanatory variables and model parameters can be studied in a one-stage analysis, meaning that model parameters and regression coefficients are estimated simultaneously. Mathematical details of the approach, including a description of the core process model—the Ornstein-Uhlenbeck model—are provided. We also describe a user friendly, freely accessible software program that provides a straightforward graphical interface to carry out parameter estimation and inference. The proposed approach is illustrated by analyzing data collected via self-reports on affective states.