cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29089652
title: Comparison of Waymo Rider-Only crash rates by crash type to human benchmarks at 56.7 million miles

description: SAE Level 4 Automated Driving Systems (ADSs) are deployed on public roads, including Waymo’s Rider-Only (RO) ride-hailing service (without a driver behind the steering wheel). The objective of this study was to perform a retrospective safety assessment of Waymo’s RO crash rate compared to human benchmarks, including disaggregated by crash type. Eleven crash type groups were identified from commonly relied upon crash typologies that are derived from human crash databases. Human benchmarks were developed from state vehicle miles traveled (VMT) and police-reported crash data. Benchmarks were aligned to the same vehicle types, road types, and locations as where the Waymo Driver operated. Waymo crashes were extracted from the NHTSA Standing General Order (SGO). RO mileage was provided by the company <i>via</i> a public website. Any-injury-reported, Airbag Deployment, and Suspected Serious Injury + crash outcomes were examined because they represented previously established, safety-relevant benchmarks where statistical testing could be performed at the current mileage. Data were examined over 56.7 million RO miles through the end of January 2025; resulting in a statistically significant lower crashed vehicle rate for all crashes compared to the benchmarks in Any-Injury-Reported and Airbag Deployment, and Suspected Serious Injury + crashes. Of the crash types, V2V Intersection crash events represented the largest total crash reduction, with a 96% reduction in Any-injury-reported (87–99% confidence interval) and a 91% reduction in Airbag Deployment (76–98% confidence interval) events. Cyclist, Motorcycle, Pedestrian, Secondary Crash, and Single Vehicle crashes were also statistically reduced for the Any-Injury-Reported outcome. There was no statistically significant disbenefit found in any of the 11 crash type groups. This study represents the first retrospective safety assessment of an RO ADS that made statistical conclusions about more serious crash outcomes (Airbag Deployment and Suspected Serious Injury+) and analyzed crash rates on a crash type basis. The crash type breakdown applied in the current analysis provides unique insight into the direction and magnitude of safety impact being achieved by a currently deployed ADS system. This work should be considered by stakeholders, regulators, and other ADS companies aiming to objectively evaluate the safety impact of ADS technology.
DOI: 10.6084/m9.figshare.29089652.v1
title: Comparison of Waymo Rider-Only crash rates by crash type to human benchmarks at 56.7 million miles

description: SAE Level 4 Automated Driving Systems (ADSs) are deployed on public roads, including Waymo’s Rider-Only (RO) ride-hailing service (without a driver behind the steering wheel). The objective of this study was to perform a retrospective safety assessment of Waymo’s RO crash rate compared to human benchmarks, including disaggregated by crash type. Eleven crash type groups were identified from commonly relied upon crash typologies that are derived from human crash databases. Human benchmarks were developed from state vehicle miles traveled (VMT) and police-reported crash data. Benchmarks were aligned to the same vehicle types, road types, and locations as where the Waymo Driver operated. Waymo crashes were extracted from the NHTSA Standing General Order (SGO). RO mileage was provided by the company <i>via</i> a public website. Any-injury-reported, Airbag Deployment, and Suspected Serious Injury + crash outcomes were examined because they represented previously established, safety-relevant benchmarks where statistical testing could be performed at the current mileage. Data were examined over 56.7 million RO miles through the end of January 2025; resulting in a statistically significant lower crashed vehicle rate for all crashes compared to the benchmarks in Any-Injury-Reported and Airbag Deployment, and Suspected Serious Injury + crashes. Of the crash types, V2V Intersection crash events represented the largest total crash reduction, with a 96% reduction in Any-injury-reported (87–99% confidence interval) and a 91% reduction in Airbag Deployment (76–98% confidence interval) events. Cyclist, Motorcycle, Pedestrian, Secondary Crash, and Single Vehicle crashes were also statistically reduced for the Any-Injury-Reported outcome. There was no statistically significant disbenefit found in any of the 11 crash type groups. This study represents the first retrospective safety assessment of an RO ADS that made statistical conclusions about more serious crash outcomes (Airbag Deployment and Suspected Serious Injury+) and analyzed crash rates on a crash type basis. The crash type breakdown applied in the current analysis provides unique insight into the direction and magnitude of safety impact being achieved by a currently deployed ADS system. This work should be considered by stakeholders, regulators, and other ADS companies aiming to objectively evaluate the safety impact of ADS technology.
DOI: 10.6084/m9.figshare.29726732
title: Characterizing suboptimal child passenger safety practices in crashes with fatalities: Child, driver, vehicle, neighborhood, and policy factors

description: Suboptimal child passenger safety practices in the United States persist despite national guidelines, state laws, and safety benefits of child passenger restraint systems (CRS). Child passenger safety practices have not been characterized in a national crash dataset since 2011 updates to American Academy of Pediatrics guidelines. We sought to identify child, driver, vehicle, neighborhood, and policy-level factors associated with suboptimal child passenger safety practices in motor vehicle collisions (MVCs) with a fatality. We additionally present identified hotspots of suboptimal practices for intervention targeting. We conducted a cross-sectional study of children &lt;13 years old in passenger cars and light trucks with known restraint status and seating location from the Fatality Analysis Reporting System (FARS) database, 2011–2021. Suboptimal practices defined as: 1) not using an age-appropriate CRS, 2) police reported misuse, or 3) front seat location. Child age, prior driver traffic violations, vehicle occupancy, driver’s ZIP Code-level Child Opportunity Index 3.0 (COI), state-level CRS and seatbelt fines, and state CRS law score by year. Geospatial hotspot analysis was conducted to identify counties with greater concentrations of suboptimal practices. Of 52,318 passengers &lt;13 years old, 38,372 (73.3%) had a known restraint [29.4% CRS, 50.7% seatbelt, 19.9% unrestrained] and seating position [15.2% in front seat]. Suboptimal practices were identified in 26,731 (69.7%) children with 4-7 and 8-12 year olds observed to have the highest proportion. The strongest predictors of suboptimal practices were child age 4-7 years (OR 1.10, 95% CI 1.09-1.12) vs. &lt;4 years and vehicle over capacity (OR 1.09, 95% CI 1.06-1.11). There was a decrease in suboptimal child passenger safety practices with increasing vehicle model year, COI level, fines, and law scores. Seventy-five counties each were hotspots for overall suboptimal practices and for premature transitions, 45 were hotspots for riding unrestrained, and 64 were hotspots for traveling in the front seat. Our findings can inform targets for populations with higher need for efforts to promote child passenger safety including drivers of children 4-7 years old, traveling with more passengers than seating positions, or from low COI areas. Associations with fines and CRS law scores signal the positive impact of legislation to discourage suboptimal practices.
DOI: 10.6084/m9.figshare.29726732.v2
title: Characterizing suboptimal child passenger safety practices in crashes with fatalities: Child, driver, vehicle, neighborhood, and policy factors

description: Suboptimal child passenger safety practices in the United States persist despite national guidelines, state laws, and safety benefits of child passenger restraint systems (CRS). Child passenger safety practices have not been characterized in a national crash dataset since 2011 updates to American Academy of Pediatrics guidelines. We sought to identify child, driver, vehicle, neighborhood, and policy-level factors associated with suboptimal child passenger safety practices in motor vehicle collisions (MVCs) with a fatality. We additionally present identified hotspots of suboptimal practices for intervention targeting. We conducted a cross-sectional study of children &lt;13 years old in passenger cars and light trucks with known restraint status and seating location from the Fatality Analysis Reporting System (FARS) database, 2011–2021. Suboptimal practices defined as: 1) not using an age-appropriate CRS, 2) police reported misuse, or 3) front seat location. Child age, prior driver traffic violations, vehicle occupancy, driver’s ZIP Code-level Child Opportunity Index 3.0 (COI), state-level CRS and seatbelt fines, and state CRS law score by year. Geospatial hotspot analysis was conducted to identify counties with greater concentrations of suboptimal practices. Of 52,318 passengers &lt;13 years old, 38,372 (73.3%) had a known restraint [29.4% CRS, 50.7% seatbelt, 19.9% unrestrained] and seating position [15.2% in front seat]. Suboptimal practices were identified in 26,731 (69.7%) children with 4-7 and 8-12 year olds observed to have the highest proportion. The strongest predictors of suboptimal practices were child age 4-7 years (OR 1.10, 95% CI 1.09-1.12) vs. &lt;4 years and vehicle over capacity (OR 1.09, 95% CI 1.06-1.11). There was a decrease in suboptimal child passenger safety practices with increasing vehicle model year, COI level, fines, and law scores. Seventy-five counties each were hotspots for overall suboptimal practices and for premature transitions, 45 were hotspots for riding unrestrained, and 64 were hotspots for traveling in the front seat. Our findings can inform targets for populations with higher need for efforts to promote child passenger safety including drivers of children 4-7 years old, traveling with more passengers than seating positions, or from low COI areas. Associations with fines and CRS law scores signal the positive impact of legislation to discourage suboptimal practices.
DOI: 10.7910/dvn/moiyul
title: Replication Data for: The Drug Crisis and Voting Behavior

description: In this paper, we explore the electoral consequences of the opioid epidemic, particularly its relationship with Republican vote share in presidential elections. We argue that the worsening opioid crisis is associated with a shift toward the Republican Party, and that these gains result from a decline in both Democratic support and voter abstention. We test these expectations using county-level presidential election results and individual-level data. The findings show that increasing overdose death rates are associated with an increase in Republican votes and a decline in Democratic votes, as well as voter abstention. Additionally, the survey analyses reveal that this relationship is strongest amongst Independents. Independents are also more likely to support stricter border security and higher spending on law enforcement as drug death rates increase. Our study contributes to the growing literature on the political consequences of the drug crisis in the United States by demonstrating how overdose death rates are associated with voting behavior and identifying which voters are most likely to change their vote in response to this worsening situation.
DOI: 10.7910/dvn/suobwd
title: p-y curves

description: p-y curves datasets
DOI: 10.17632/gft2rrtd7r.1
title: Supplemental materials for study "Impact of the methotrexate co-prescription on the persistence of TNF inhibitors in psoriasis: a French cohort study"

description: This supplemental material provides additional methodological details, definitions, and results supporting the main analysis.

Data Source: Describes the French national health data system (SNDS), and approvals for study.

Marginal Structural Models (MSMs) with Inverse Probability Treatment Weighting (IPTW): Provides a detailed explanation of the statistical modeling framework used to estimate the causal effect of concomitant methotrexate (MTX) on TNFi persistence, including model specification, weight construction, stabilization, and truncation procedures.

Supplemental Tables I–VI:

Table I: Lists the ATC codes and definitions used to identify medication exposures.

Table II: Describes algorithms for identifying comorbidities and related diagnoses from administrative data.

Table III: Summarizes baseline characteristics of the study population across MTX exposure levels.

Table IV: Presents detailed distributions of continuous and categorical MTX exposure across dosing regimens and calculation methods over trimesters.

Table V: Reports results from sensitivity analyses assessing the robustness of the main findings under alternative definitions of MTX exposure.

Table VI: Provides subgroup analyses evaluating the impact of concomitant MTX use on adalimumab persistence.

Supplemental Figure 1: Displays a directed acyclic graph (DAG) illustrating the hypothesized relationships among biologic persistence, concomitant MTX use, and time-varying confounders.
DOI: 10.17632/9fnv6hfh2v.1
title: Matry et al. "Influence of natural convection on the convective heat transfer coefficient at exterior building surfaces in a 2D street canyon"

description: This dataset contains all the data from the journal article "Influence of natural convection on the convective heat transfer coefficient at exterior building surfaces in a 2D street canyon" Matry et al.
The file "Data_validation_Matry.xlsx" contains data relevant to the chapter "Model validation based on reduced scale measurements" of the article. The data refer to the numerical model that is calibrated.
The file "Data_CHTC_value_Matry.xlsx" contains data relevant to the chapter "Influence of natural convection at real scale" of the article. The data refer to the numerical values of the CHTC calculated with (h_ext) and without (h_for) buoyancy assumptions for the different configurations and for the entire design of experiment.
DOI: 10.17632/bk56tjktzd
title: Panel data_technology

description: Dtaa of the main analysis of the variables and econometric methods
DOI: 10.17632/bk56tjktzd.1
title: Panel data_technology

description: Dtaa of the main analysis of the variables and econometric methods
DOI: 10.17632/n2brfb34vg
title: Conjunto de datos Experiencias de atención en salud de pacientes rurales que requieren cuidados paliativos

description: En este conjunto se alojan las grabaciones en audio y transcripciones de la información recolectada para dar respuesta al estudio titulado Experiencias de atención en salud de pacientes rurales que requieren cuidados paliativos.
DOI: 10.17632/n2brfb34vg.1
title: Conjunto de datos Experiencias de atención en salud de pacientes rurales que requieren cuidados paliativos

description: En este conjunto se alojan las grabaciones en audio y transcripciones de la información recolectada para dar respuesta al estudio titulado Experiencias de atención en salud de pacientes rurales que requieren cuidados paliativos.
DOI: 10.17632/j6szpjxtw5.1
title: Hidradenitis Suppurativa Remission and Progression in a Community Setting

description: A PDF of the electronic questionaire used for the follow-up study. The questions contained herein are identical to the relevant subset of questions that the GESUS participants answered during initial enrollment.
DOI: 10.17632/9sydrz8975
title: Multidimensional dataset for the analysis of body composition in the Colombian adult population.

description: This dataset was developed to analyze regional differences in body composition among adults living in the metropolitan area of Medellín, Colombia. The research hypothesis proposes that variations in biological and demographic characteristics across populations can influence the electrical and anthropometric parameters used to estimate body composition. By providing a multidimensional dataset that integrates electrical, anthropometric, metabolic, and demographic information, this resource enables the study of how these variables interact within a specific Latin American context.

The dataset includes 546 measurements from 204 adult participants (127 men and 77 women) aged 18 to 81 years, all of whom reported good health and no functional limitations. Data collection followed standardized procedures to ensure quality and reproducibility. Participants fasted for at least four hours, avoided alcohol, caffeine, and diuretics before the test, and rested in a supine position prior to measurement.

Body composition was assessed using an eight-electrode multifrequency bioimpedance analyzer (seca mBCA 525, 1–500 kHz). Anthropometric measurements, including weight, height, and waist circumference, were obtained using a Detecto mechanical scale with stadiometer and a Seca 201 measuring tape.

The dataset is organized into four interrelated tables contained in a single Excel file:

User: demographic and contextual variables.

Anthropometric: body measurements, indices (BMI, FFMI, FMI), Z-scores, percentiles, and derived mass components (fat, fat-free, skeletal muscle, water, and visceral adipose tissue).

Electric: multifrequency resistance and reactance by body segment (arms, legs, trunk) and related vectorial parameters, including phase angle.

Metabolic: estimated energy expenditure and total body energy content.

Each participant has a unique identifier linking multiple measurements over time, allowing longitudinal or cross-sectional analyses.

Preliminary inspection of the data shows consistent differences in electrical parameters and body composition between sex and age groups, as well as variation in water distribution and body mass components across individuals.

This dataset can be interpreted as a detailed representation of the physiological, electrical, and metabolic characteristics of Colombian adults. It may be reused for regional and comparative studies, development of new equations for body composition estimation, or for educational and methodological purposes in health and sports sciences.
DOI: 10.17632/9sydrz8975.1
title: Multidimensional dataset for the analysis of body composition in the Colombian adult population.

description: This dataset was developed to analyze regional differences in body composition among adults living in the metropolitan area of Medellín, Colombia. The research hypothesis proposes that variations in biological and demographic characteristics across populations can influence the electrical and anthropometric parameters used to estimate body composition. By providing a multidimensional dataset that integrates electrical, anthropometric, metabolic, and demographic information, this resource enables the study of how these variables interact within a specific Latin American context.

The dataset includes 546 measurements from 204 adult participants (127 men and 77 women) aged 18 to 81 years, all of whom reported good health and no functional limitations. Data collection followed standardized procedures to ensure quality and reproducibility. Participants fasted for at least four hours, avoided alcohol, caffeine, and diuretics before the test, and rested in a supine position prior to measurement.

Body composition was assessed using an eight-electrode multifrequency bioimpedance analyzer (seca mBCA 525, 1–500 kHz). Anthropometric measurements, including weight, height, and waist circumference, were obtained using a Detecto mechanical scale with stadiometer and a Seca 201 measuring tape.

The dataset is organized into four interrelated tables contained in a single Excel file:

User: demographic and contextual variables.

Anthropometric: body measurements, indices (BMI, FFMI, FMI), Z-scores, percentiles, and derived mass components (fat, fat-free, skeletal muscle, water, and visceral adipose tissue).

Electric: multifrequency resistance and reactance by body segment (arms, legs, trunk) and related vectorial parameters, including phase angle.

Metabolic: estimated energy expenditure and total body energy content.

Each participant has a unique identifier linking multiple measurements over time, allowing longitudinal or cross-sectional analyses.

Preliminary inspection of the data shows consistent differences in electrical parameters and body composition between sex and age groups, as well as variation in water distribution and body mass components across individuals.

This dataset can be interpreted as a detailed representation of the physiological, electrical, and metabolic characteristics of Colombian adults. It may be reused for regional and comparative studies, development of new equations for body composition estimation, or for educational and methodological purposes in health and sports sciences.
DOI: 10.17632/3h4zjf7fpb
title: Oral habits of patients aged 7–15 years with autism spectrum disorders at the Dominican Autism Foundation between January and May 2025.

description: Autism spectrum disorder encompasses a range of neurodevelopmental disabilities that affect
social interaction and communication and are characterized by repetitive or limited patterns. It
is therefore essential to understand its biological, psychological, and social characteristics, as
well as its stomatognathic system, in order to implement a behavioral plan tailored to each
individual who attends the clinic. The objective of this study was to identify oral habits in
children aged 7 to 15 years with autism spectrum disorder who attend the National Autism
Foundation. A total population of 70 children was considered for this research. A 21-question
questionnaire was administered regarding their oral health, oral habits, and clinical history.
The results were then tabulated and statistically analyzed. The results showed that the most
prominent oral habit was bruxism, and that children with ASD tend to have non-functional oral
habits throughout their lives, hence the importance of understanding their psychological,
social, emotional, and physiological needs. With regard to the parents' perception, 100%

knowledge was observed, corresponding to a high level, with most being involved in the well-
being of their family members with ASD. In conclusion, the relationship with parents or

guardians is essential for the implementation of the follow-up and treatment that a child with
ASD needs.
DOI: 10.17632/3h4zjf7fpb.2
title: Oral habits of patients aged 7–15 years with autism spectrum disorders at the Dominican Autism Foundation between January and May 2025.

description: Autism spectrum disorder encompasses a range of neurodevelopmental disabilities that affect
social interaction and communication and are characterized by repetitive or limited patterns. It
is therefore essential to understand its biological, psychological, and social characteristics, as
well as its stomatognathic system, in order to implement a behavioral plan tailored to each
individual who attends the clinic. The objective of this study was to identify oral habits in
children aged 7 to 15 years with autism spectrum disorder who attend the National Autism
Foundation. A total population of 70 children was considered for this research. A 21-question
questionnaire was administered regarding their oral health, oral habits, and clinical history.
The results were then tabulated and statistically analyzed. The results showed that the most
prominent oral habit was bruxism, and that children with ASD tend to have non-functional oral
habits throughout their lives, hence the importance of understanding their psychological,
social, emotional, and physiological needs. With regard to the parents' perception, 100%

knowledge was observed, corresponding to a high level, with most being involved in the well-
being of their family members with ASD. In conclusion, the relationship with parents or

guardians is essential for the implementation of the follow-up and treatment that a child with
ASD needs.