cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13165406
title: Factors associated with EMS transport decisions for pediatric patients after motor vehicle collisions

description: Prehospital non-transport events occur when emergency medicine service (EMS) providers respond to a scene, but the patient is ultimately not transported to a hospital for evaluation. The objective of this study was to determine the rate of non-transport of pediatric patients who were involved in a motor vehicle collision (MVC) and the factors associated with non-transport decisions. We searched the National Emergency Medical Services Information System (NEMSIS) database using ICD-10 mechanism of injury codes to identify cases in which EMS responded to a pediatric occupant (age &lt; 18 years) who had been involved in an MVC. We excluded interfacility transports, scene assists, deaths at the scene, and collisions that occurred outside the US. The outcome of interest was if pediatric patients were not transported to a hospital for evaluation. We performed univariate and multivariate analysis to identify which risk factors were associated with non-transport. We also analyzed regional variation and the reasons recorded for not transporting patients. We identified 92,254 pediatric patients who were evaluated by EMS after an MVC, of which 31,404 (34.0%) were not transported to a hospital for evaluation. In our adjusted analysis, the factors associated with non-transport were age &lt;1 year or &gt;16 years, male sex, normal Glasgow Coma Scale (GCS = 15), level of training of EMS providers, response time later than 6 a.m., and region of the country. GCS was the most important factor, with only 3.0% (108/3,616) of patients not transported who had abnormal GCS (&lt; 15). In cases of non-transport, 32.7% (10257) were due to patient or caregiver refusal, and 33.3% (10,442) were due to patients being discharged against medical advice. Only 11.5% (3,627) pediatric patients who were not transported were discharged based on an established protocol. Pediatric patients were not transported after EMS responded to an MVC in approximately one-third of cases, and there was considerable variation in the rate of non-transports based on geographic region, provider level, and time of day. The majority of non-transports occurred because patients were discharged against medical advice or the patient/caregiver refused transport, which may indicate conflicting priorities between EMS providers and patients.
DOI: 10.6084/m9.figshare.13165406.v1
title: Factors associated with EMS transport decisions for pediatric patients after motor vehicle collisions

description: Prehospital non-transport events occur when emergency medicine service (EMS) providers respond to a scene, but the patient is ultimately not transported to a hospital for evaluation. The objective of this study was to determine the rate of non-transport of pediatric patients who were involved in a motor vehicle collision (MVC) and the factors associated with non-transport decisions. We searched the National Emergency Medical Services Information System (NEMSIS) database using ICD-10 mechanism of injury codes to identify cases in which EMS responded to a pediatric occupant (age &lt; 18 years) who had been involved in an MVC. We excluded interfacility transports, scene assists, deaths at the scene, and collisions that occurred outside the US. The outcome of interest was if pediatric patients were not transported to a hospital for evaluation. We performed univariate and multivariate analysis to identify which risk factors were associated with non-transport. We also analyzed regional variation and the reasons recorded for not transporting patients. We identified 92,254 pediatric patients who were evaluated by EMS after an MVC, of which 31,404 (34.0%) were not transported to a hospital for evaluation. In our adjusted analysis, the factors associated with non-transport were age &lt;1 year or &gt;16 years, male sex, normal Glasgow Coma Scale (GCS = 15), level of training of EMS providers, response time later than 6 a.m., and region of the country. GCS was the most important factor, with only 3.0% (108/3,616) of patients not transported who had abnormal GCS (&lt; 15). In cases of non-transport, 32.7% (10257) were due to patient or caregiver refusal, and 33.3% (10,442) were due to patients being discharged against medical advice. Only 11.5% (3,627) pediatric patients who were not transported were discharged based on an established protocol. Pediatric patients were not transported after EMS responded to an MVC in approximately one-third of cases, and there was considerable variation in the rate of non-transports based on geographic region, provider level, and time of day. The majority of non-transports occurred because patients were discharged against medical advice or the patient/caregiver refused transport, which may indicate conflicting priorities between EMS providers and patients.
DOI: 10.5281/zenodo.4459546
title: Genome-wide association study identifies RNF123 locus as associated with chronic widespread musculoskeletal pain

description: The dataset (CWP_GWAS_EU_ANCESTRY_UKB.txt) contains summary statistics for discovery GWAS of chronic widespread pain based on northern Europeans from UK Biobank comprising 6,914 cases of chronic widespread musculoskeletal pain and 242,929 controls. The sensitivity GWAS (CWP_sensitivity_GWAS_EU_ANCESTRY_UKB.txt) dataset contains summary statistics derived from 6,914 cases of chronic widespread musculoskeletal pain and 223,606 controls. Methodological details available here, https://doi.org/10.1101/2020.11.30.20241000
DOI: 10.5281/zenodo.4298763
title: Genome-wide association study identifies RNF123 locus as associated with chronic widespread musculoskeletal pain

description: The dataset (CWP_GWAS_EU_ANCESTRY_UKB.txt) contains summary statistics for discovery GWAS of chronic widespread pain based on northern Europeans from UK Biobank comprising 6,914 cases of chronic widespread musculoskeletal pain and 242,929 controls. The sensitivity GWAS (CWP_sensitivity_GWAS_EU_ANCESTRY_UKB.txt) dataset contains summary statistics derived from 6,914 cases of chronic widespread musculoskeletal pain and 223,606 controls. Methodological details available here, https://doi.org/10.1101/2020.11.30.20241000
DOI: 10.6084/m9.figshare.14518602
title: Paraphrase Training Data

description: Paraphrasing training data
DOI: 10.6084/m9.figshare.14482911
title: SO_Offensive

description: SO_Offensive
DOI: 10.6084/m9.figshare.14498715
title: Offensive comments

description: offensive language
DOI: 10.6084/m9.figshare.14482911.v2
title: SO_Offensive

description: SO_Offensive
DOI: 10.6084/m9.figshare.14482911.v1
title: SO_Offensive

description: SO_Offensive
DOI: 10.5281/zenodo.4730067
title: Material Suplementar do Curso: De Palavras para Números e de Números para Redes: Usando KH Coder para Análise de Textos

description: Arquivos utilizados como exemplo na condução do curso sobre o uso do KH Coder.
DOI: 10.5281/zenodo.4730066
title: Material Suplementar do Curso: De Palavras para Números e de Números para Redes: Usando KH Coder para Análise de Textos

description: Arquivos utilizados como exemplo na condução do curso sobre o uso do KH Coder.
DOI: 10.5517/ccdc.csd.cc24rsrg
title: CCDC 1989076: Experimental Crystal Structure Determination

description: Related Article: Xujiang Yuan, Yadi Liu, Huan Zhao, Lijiao Men, Cuimin He, Yu Qiu, Qiangqiang Yu, Kunping Li, Longkai Qi, Diling Chen|2020|Phytochemistry|181|112572|doi:10.1016/j.phytochem.2020.112572
DOI: 10.6084/m9.figshare.13379780
title: Coupling neuroscience and driving simulation: A systematic review of studies on crash-risk behaviors in young drivers

description: Motor vehicle crashes are a leading cause of death for adolescents and young adults. The aim of this study is to examine and discuss the state-of-the-art literature which uses neuroscience methods in the context of driving simulation to study adolescent and young adult drivers. We conducted a systematic English-language literature search of Ovid MEDLINE (1946–2020), PsycINFO (1967–2020), PubMed, Web of Science, SCOPUS, and CINAHL using keywords and MeSH terms. Studies were excluded if participants were not within the ages of 15–25, if the driving simulator did not include a visual monitor/computer monitor/projection screen and steering wheel and foot pedals, or brain data (specifically EEG [electroencephalogram], fNIRS [functional near-infrared spectroscopy], or fMRI [functional magnetic resonance imaging]) was not collected at the same time as driving simulation data. Seventy-six full text articles of the 736 studies that met inclusion criteria were included in the final review. The 76 articles used one of the following neuroscience methods: electrophysiology, functional near-infrared spectroscopy, or functional magnetic resonance imaging. In the identified studies, there were primarily two areas of investigation pursued; driving impairment and distraction in driving. Impairment studies primarily explored the areas of drowsy/fatigued driving or alcohol-impaired driving. Studies of distracted driving primarily focused on cognitive load and auditory and visual distractors. Our state of the science systematic review highlights the feasibility for coupling neuroscience with driving simulation to study the neurocorrelates of driving behaviors in the context of young drivers and neuromaturation. Findings show that, to date, most research has focused on examining brain correlates and driving behaviors related to contributing factors for fatal motor vehicle crashes. However, there remains a considerable paucity of research designed to understand underlying brain mechanisms that might otherwise facilitate greater understanding of individual variability of normative and risky driving behavior within the young driving population.
DOI: 10.6084/m9.figshare.13379780.v1
title: Coupling neuroscience and driving simulation: A systematic review of studies on crash-risk behaviors in young drivers

description: Motor vehicle crashes are a leading cause of death for adolescents and young adults. The aim of this study is to examine and discuss the state-of-the-art literature which uses neuroscience methods in the context of driving simulation to study adolescent and young adult drivers. We conducted a systematic English-language literature search of Ovid MEDLINE (1946–2020), PsycINFO (1967–2020), PubMed, Web of Science, SCOPUS, and CINAHL using keywords and MeSH terms. Studies were excluded if participants were not within the ages of 15–25, if the driving simulator did not include a visual monitor/computer monitor/projection screen and steering wheel and foot pedals, or brain data (specifically EEG [electroencephalogram], fNIRS [functional near-infrared spectroscopy], or fMRI [functional magnetic resonance imaging]) was not collected at the same time as driving simulation data. Seventy-six full text articles of the 736 studies that met inclusion criteria were included in the final review. The 76 articles used one of the following neuroscience methods: electrophysiology, functional near-infrared spectroscopy, or functional magnetic resonance imaging. In the identified studies, there were primarily two areas of investigation pursued; driving impairment and distraction in driving. Impairment studies primarily explored the areas of drowsy/fatigued driving or alcohol-impaired driving. Studies of distracted driving primarily focused on cognitive load and auditory and visual distractors. Our state of the science systematic review highlights the feasibility for coupling neuroscience with driving simulation to study the neurocorrelates of driving behaviors in the context of young drivers and neuromaturation. Findings show that, to date, most research has focused on examining brain correlates and driving behaviors related to contributing factors for fatal motor vehicle crashes. However, there remains a considerable paucity of research designed to understand underlying brain mechanisms that might otherwise facilitate greater understanding of individual variability of normative and risky driving behavior within the young driving population.
DOI: 10.6084/m9.figshare.13281446
title: Prevalence of unprotected motorcycle riding and its association with other risk behaviors among adolescents in Chiang Mai, Thailand

description: To determine the prevalence of helmet use in Chiang Mai province in Thailand and identify the association between helmet use, externalized behaviors, and other risk-taking behaviors. A cross-sectional study was conducted using the Youth Risk Behavior Survey, Thai version. Risky motor vehicle behaviors and other risk-taking behaviors of 4,372 adolescents were measured. Behavioral problems from the Youth Self-Report were also obtained from all participants. A total of 2,981 adolescents (68.2%) reported motorcycle riding, of which, 36.3% reported unprotected riding. Females, younger age, attending secondary school, and those with academic underachievement were related to the unprotected riding group. Unprotected riding was significantly associated with other risky traffic behaviors and also related to other risk-taking behavior such as violence and substance use. Significantly higher behavioral problems scores were found in unprotected riding adolescents (<i>p</i> The prevalence of unprotected riding and other risk behaviors in Thai adolescents were high. Safety traffic riding campaigns should start in late primary school focusing on those females with poor academic achievement.
DOI: 10.6084/m9.figshare.13281446.v1
title: Prevalence of unprotected motorcycle riding and its association with other risk behaviors among adolescents in Chiang Mai, Thailand

description: To determine the prevalence of helmet use in Chiang Mai province in Thailand and identify the association between helmet use, externalized behaviors, and other risk-taking behaviors. A cross-sectional study was conducted using the Youth Risk Behavior Survey, Thai version. Risky motor vehicle behaviors and other risk-taking behaviors of 4,372 adolescents were measured. Behavioral problems from the Youth Self-Report were also obtained from all participants. A total of 2,981 adolescents (68.2%) reported motorcycle riding, of which, 36.3% reported unprotected riding. Females, younger age, attending secondary school, and those with academic underachievement were related to the unprotected riding group. Unprotected riding was significantly associated with other risky traffic behaviors and also related to other risk-taking behavior such as violence and substance use. Significantly higher behavioral problems scores were found in unprotected riding adolescents (<i>p</i> The prevalence of unprotected riding and other risk behaviors in Thai adolescents were high. Safety traffic riding campaigns should start in late primary school focusing on those females with poor academic achievement.
DOI: 10.5281/zenodo.4730044
title: Raw data used in AC. Raclariu-Manolica et al. "DNA metabarcoding for quality control of basil, oregano and paprika."

description: Raw data used in: AC. Raclariu-Manolica, JA Anmarkrud, M Kierczak, N Rafati, L Thorbek, A Schrøder-Nielsen and HJ De Boer. <br> "DNA metabarcoding for quality control of basil, oregano and paprika." Files: 1/ mapping.txt - mapping between the<br> <br> * file.fastq.gz--barcode pair <br> <br> and the <br> <br> * sample-replicate pair<br> <br> 2/ barcodes.txt -- file contains barcode sequences for demultiplexing reads 3/ primers.txt contains forward and reverse primer sequences for ITS1 and ITS2
DOI: 10.6084/m9.figshare.12848780
title: Expansion of NASS/CDS for characterizing run-off-road crashes

description: Run-off-road (ROR) crashes account for one-third of all annual crash fatalities in the US. The National Automotive Sampling System Crashworthiness Data System (NASS/CDS) is a dataset which may be used to understand the nature of ROR crashes. Despite the wealth of coded data available in NASS/CDS, this dataset lacks coded information about the roadside environment and the off-road trajectory of the vehicle. This information would be useful for determining lane departure warning (LDW) benefits, residual safety problems, performance of current safety hardware, lane marking inventory, LDW test procedure development, radius of curvature characterization, and effectiveness of ESC. The purpose of this paper is to demonstrate a methodology for expanding the data available in NASS/CDS to form and validate a specialized road departure database. Observed, measured, and reconstructed data elements were extracted from NASS/CDS and compiled into the National Cooperative Highway Research Program (NCHRP) 17-43 database. Observed variables were primarily coded from the scene photographs and included information such as the lane markings, and geometry of the roadside cross-section. Additional variables were measured from the scaled scene diagrams including the path of the vehicle, road dimensions, and roadside object positions. The vehicle impact speed and departure speed were reconstructed using the WinSMASH delta-v, roadside object characteristics, and vehicle path. Two studies were conducted to demonstrate the usefulness of the NCHRP 17-43 database in evaluating both vehicle-based and infrastructure-based ROR countermeasures. The resulting NCHRP 17-43 database includes 1,581 NASS/CDS cases representing 510,154 ROR crashes. Analysis of the database found that drivers which crashed following an overcorrection were younger than drivers which did not overcorrect. This may indicate that inexperienced drivers are more likely to overcorrect when departing the roadway. The 85<sup>th</sup> percentile impact severity of ROR crashes, which occur on roads with a speed limit greater than 65 mph, is higher than the practical worst-case test conditions for roadside barriers. The NCHRP 17-43 database contains information extracted from NASS/CDS cases to better understand the nature of ROR crashes, driver behavior in these crashes, and the potential benefits of both vehicle-based and infrastructure-based ROR countermeasures.
DOI: 10.6084/m9.figshare.12848780.v1
title: Expansion of NASS/CDS for characterizing run-off-road crashes

description: Run-off-road (ROR) crashes account for one-third of all annual crash fatalities in the US. The National Automotive Sampling System Crashworthiness Data System (NASS/CDS) is a dataset which may be used to understand the nature of ROR crashes. Despite the wealth of coded data available in NASS/CDS, this dataset lacks coded information about the roadside environment and the off-road trajectory of the vehicle. This information would be useful for determining lane departure warning (LDW) benefits, residual safety problems, performance of current safety hardware, lane marking inventory, LDW test procedure development, radius of curvature characterization, and effectiveness of ESC. The purpose of this paper is to demonstrate a methodology for expanding the data available in NASS/CDS to form and validate a specialized road departure database. Observed, measured, and reconstructed data elements were extracted from NASS/CDS and compiled into the National Cooperative Highway Research Program (NCHRP) 17-43 database. Observed variables were primarily coded from the scene photographs and included information such as the lane markings, and geometry of the roadside cross-section. Additional variables were measured from the scaled scene diagrams including the path of the vehicle, road dimensions, and roadside object positions. The vehicle impact speed and departure speed were reconstructed using the WinSMASH delta-v, roadside object characteristics, and vehicle path. Two studies were conducted to demonstrate the usefulness of the NCHRP 17-43 database in evaluating both vehicle-based and infrastructure-based ROR countermeasures. The resulting NCHRP 17-43 database includes 1,581 NASS/CDS cases representing 510,154 ROR crashes. Analysis of the database found that drivers which crashed following an overcorrection were younger than drivers which did not overcorrect. This may indicate that inexperienced drivers are more likely to overcorrect when departing the roadway. The 85<sup>th</sup> percentile impact severity of ROR crashes, which occur on roads with a speed limit greater than 65 mph, is higher than the practical worst-case test conditions for roadside barriers. The NCHRP 17-43 database contains information extracted from NASS/CDS cases to better understand the nature of ROR crashes, driver behavior in these crashes, and the potential benefits of both vehicle-based and infrastructure-based ROR countermeasures.
DOI: 10.6084/m9.figshare.13645668
title: Associations of mental health with driving while impaired and risky driving in emerging adults

description: Examined cross-sectional associations of driving while impaired (DWI) and risky driving with mental and psychosomatic health among U.S. emerging adults. Data were from years 1–4 after high school (waves 4–7) of the NEXT Generation Health Study, a nationally representative study starting with 10th grade (2009–2010). Outcome variables were DWI (dichotomous variable: ≥1 day vs. 0 days in the last 30 days) and risky driving Checkpoints Self-Reported Risky Driving Scale (C-RDS). Independent variables included depressive symptoms and psychosomatic symptoms. Multivariate logistic and linear regressions were conducted with complex survey features considered. Higher depressive and psychosomatic symptoms were associated with modestly higher likelihood of DWI (Adjusted odds ratio [AOR] ranged from 1.02 to 1.03 and from 1.04 to 1.05, respectively) and higher C-RDS scores (<i>b</i> ranged from 0.06 to 0.12 and from 0.08 to 0.23, respectively) in years 1–4 after high school. Depressive and psychosomatic symptoms were associated with greater DWI and risky driving in all 4 years after high school. Negative mental and psychosomatic health should be targeted components of DWI and risky driving prevention to lower fatal motor vehicle crashes among emerging adults.
DOI: 10.6084/m9.figshare.13645668.v1
title: Associations of mental health with driving while impaired and risky driving in emerging adults

description: Examined cross-sectional associations of driving while impaired (DWI) and risky driving with mental and psychosomatic health among U.S. emerging adults. Data were from years 1–4 after high school (waves 4–7) of the NEXT Generation Health Study, a nationally representative study starting with 10th grade (2009–2010). Outcome variables were DWI (dichotomous variable: ≥1 day vs. 0 days in the last 30 days) and risky driving Checkpoints Self-Reported Risky Driving Scale (C-RDS). Independent variables included depressive symptoms and psychosomatic symptoms. Multivariate logistic and linear regressions were conducted with complex survey features considered. Higher depressive and psychosomatic symptoms were associated with modestly higher likelihood of DWI (Adjusted odds ratio [AOR] ranged from 1.02 to 1.03 and from 1.04 to 1.05, respectively) and higher C-RDS scores (<i>b</i> ranged from 0.06 to 0.12 and from 0.08 to 0.23, respectively) in years 1–4 after high school. Depressive and psychosomatic symptoms were associated with greater DWI and risky driving in all 4 years after high school. Negative mental and psychosomatic health should be targeted components of DWI and risky driving prevention to lower fatal motor vehicle crashes among emerging adults.