cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15139/s3/0xq6gs
title: Developing a taxonomy of human errors and violations that lead to crashes [R19]

description: Human errors and violations are highly relevant to the safe systems approach as human error tends to dominate crash occurrence, contributing to 80%-90% of crashes. A better understanding of “critical reasons for the critical pre-crash events” has significant potential in reducing deadly behaviors on roadways. A key gap in the literature relates to the origin of the different types of human errors, e.g., whether they begin with intentional actions or unintentional actions, and how they relate to the built environment. The project will be organized into the following tasks: Task A: Review relevant work that will be integrated into a taxonomy: As part of identifying gaps in the relevant literature, we will identify data limitations that may pose a threat to study results. After we develop a taxonomy based on NDS data, we will match the potential countermeasures to the crash contributory factors at hand, based on insights from the literature. Task B: Process and prepare the naturalistic driving study database and develop framework: In addition to theoretical developments, new data analytic methods will be used to extract valuable information about errors and violations and their respective mechanisms from driving and crash data. While a substantial amount of the work will be conceptual, data from SHRP Naturalistic Driving Study (NDS) will be used. Task C: Develop a methodology to classify crash-contributing errors: The project will explore the role of human cognition, information acquisition, processing and use, and rational behavior as they relate to human errors in crashes. A classification of the full range of errors and violations can help focus on predominant error types and facilitate in the design of effective prevention and mitigation tools and strategies. Task D: Develop a “safety matrix” that quantifies the contributions of different factors for different scenarios: In this task, we will develop safety matrices to quantify the proportions of different crash-contributing factors. The relationships between error-producing environments and errors recorded in crashes will add a new dimension to our existing understanding of errors. Task E: Apply a modeling approach for analyzing relationships: The overall framework would be a Structural Equation Modeling (SEM) approach. Correlations between human errors and various factors will be quantified. Task F: Use the safety matrix to explore implications for road safety in the future: In this task, we will explore the implications of the results for improving current and future road safety. The aim is to expand our knowledge-base for implementation of more informed decisions about safe vehicles, safe people, safe speeds, and safe environments. Task G: Final report and dissemination: After completion of the project, the research team will document the results so they can be used by engineers and planners in the future.
DOI: 10.15139/s3/3og6xm
title: Investigating the vulnerability of motorcyclists to crashes and injury [R20]

description: This study examines various key risk factors associated with the injury severity of motorcycle crashes, such as riders’ helmet type and coverage, experience, and alcohol and multiple drug usage. From a methodological standpoint, a developed corner solution framework addressing both uncorrelated and correlated unobserved heterogeneity. The study analyzes extensive data from the MCCS (FHWA) for 321 injury crashes involving motorcycles. The Injury Severity Score (ISS), which accounts for multiple injuries sustained by different body parts of the riders, is the response variable. Compared to ISS, AIS tends to underestimate the injury severity sustained by the rider. ISS provides a more accurate approximation to mortality prediction.
DOI: 10.34740/kaggle/dsv/7068496
title: consumer country peru
DOI: 10.25810/00zk-yj28.55
title: Norwegian Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - October 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15139/s3/mxeahq
title: Using integrated data to examine characteristics related to pedestrian and bicyclist injuries [R22]

description: There is a need to tackle the problem of rising pedestrian morbidity and mortality through the study of integrated crash and health outcome data at the population level. This study analyzed five years of population-based, integrated, police reported crash and emergency department visit data to examine vehicle, crash, roadway, and person-level factors and their association with serious pedestrian injuries, ascertained using clinical metrics, rather than police reported injury severity indices. In addition, the results of the descriptive analysis were used to inform a multivariate predictive regression analysis, in which significant predictors of serious pedestrian injury were identified. Finally, the integrated crash-emergency department visit data were used to describe both the nature (laceration, fracture, etc.) and location (head, upper extremity, etc.) of injury to have a better understanding of pedestrian health outcomes following a motor vehicle crash.
DOI: 10.15139/s3/cbimgb
title: Developing a framework to combine the different protective features of a safe system [R24]

description: While the overarching objective of the transportation system is to provide mobility, transportation professionals dedicate significant resources to build a safe system. The aspirational objective is to establish a system on which no road user can suffer catastrophic outcomes. To accomplish such a safe system, it is necessary to effectively harness all the core protective opportunities provided by the system. Despite the increasing consensus that this needs to be thought of as a systems problem, the considerations for each of these layers of protection are siloed, and many of the protective features are evaluated in terms of potential lives saved due to a specific improvement. To address this, the research identifies kinetic energy as the appropriate common denominator that captures the overall protective characteristics of the system. It is not practical to aggregate the additive capability of the system’s elements to control or contain kinetic energy. However, it is valuable to evaluate the cumulative kinetic energy of entire system and proposes a framework that can support researchers and practitioners in better understanding the safety mechanism and identifying strategies that may have been overlooked.
DOI: 10.5281/zenodo.10211470
title: Data for "Impact-induced initiation of Snowball Earth: A model study"

description: Data and post-processing scripts for "Impact-induced initiation of Snowball Earth: A model study"Submitted Nov 2023
Minmin Fu, Dorian S. Abbot, Christian Koeberl, and Alexey Fedorov
minmin.fu@yale.eduYale University
DOI: 10.5281/zenodo.8234701
title: Data for "Impact-induced initiation of Snowball Earth: A model study"

description: Data and post-processing scripts for "Impact-induced initiation of Snowball Earth: A model study"Submitted Nov 2023
Minmin Fu, Dorian S. Abbot, Christian Koeberl, and Alexey Fedorov
minmin.fu@yale.eduYale University
DOI: 10.5281/zenodo.8234702
title: Data for "Impact-induced initiation of Snowball Earth: A model study"

description: Data and post-processing scripts for "Impact-induced initiation of Snowball Earth: A model study"<br> Submitted Aug 2023 Minmin Fu, Dorian S. Abbot, Christian Koeberl, and Alexey Fedorov minmin.fu@yale.edu<br> Yale University
DOI: 10.5281/zenodo.10211348
title: Data and scripts for the publication "Coil Optimization for Quasi-helically Symmetric Stellarator Configurations"

description: Coils and VMEC configurations for the three stellarator configurations presented in "Coil Optimization for Quasi-helically Symmetric Stellarator Configurations", including the optimization scripts used to find the coils and plot scripts used to produce the figures in the text.
DOI: 10.15139/s3/c1rogd
title: Understanding micromobility safety behavior and standardizing safety metrics for transportation system integration [R26]

description: This project focused on exploring micromobility safety data and methods to improve injury surveillance. The project was broken into four core tasks that included exploration of new big data sources, injury surveillance methods, survey research assessment, and safety data. This report is brief, providing an introduction of the work conducted in each task. The core deliverables are included as appendices. They include journal articles, infographics, websites, and electronic media.
DOI: 10.5281/zenodo.10211349
title: Data and scripts for the publication "Coil Optimization for Quasi-helically Symmetric Stellarator Configurations"

description: Coils and VMEC configurations for the three stellarator configurations presented in "Coil Optimization for Quasi-helically Symmetric Stellarator Configurations", including the optimization scripts used to find the coils and plot scripts used to produce the figures in the text.
DOI: 10.5517/ccdc.csd.cc2f7xj4
title: CCDC 2241936: Experimental Crystal Structure Determination

description: Related Article: Priya Singh, Yuri Lee, Jaycee R. Mayfield, Reena Singh, Melissa C. Denler, Shannon D. Jones, Victor W. Day, Ebbe Nordlander, Timothy A. Jackson|2023|Inorg.Chem.|62|18357|doi:10.1021/acs.inorgchem.3c00600
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f7xk5
title: CCDC 2241937: Experimental Crystal Structure Determination

description: Related Article: Priya Singh, Yuri Lee, Jaycee R. Mayfield, Reena Singh, Melissa C. Denler, Shannon D. Jones, Victor W. Day, Ebbe Nordlander, Timothy A. Jackson|2023|Inorg.Chem.|62|18357|doi:10.1021/acs.inorgchem.3c00600
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f7xl6
title: CCDC 2241938: Experimental Crystal Structure Determination

description: Related Article: Priya Singh, Yuri Lee, Jaycee R. Mayfield, Reena Singh, Melissa C. Denler, Shannon D. Jones, Victor W. Day, Ebbe Nordlander, Timothy A. Jackson|2023|Inorg.Chem.|62|18357|doi:10.1021/acs.inorgchem.3c00600
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3886/e113986v1-143344
title: Replication data for: Human Capital and China's Future Growth

description: In this paper, we consider the sources and prospects for economic growth in China with a focus on human capital. First, we provide an overview of the role that labor has played in China's economic success. We then describe China's hukou policy, which divides China's labor force into two distinct segments, one composed of rural workers and the other of urban workers. For the rural labor force, we focus on the challenges of raising human capital by both increasing basic educational attainment rates as well as the quality of education. For the urban labor force, we focus on the issues of further expanding enrollment in college education as well as improving the quality of college education. We use a regression model to show the typical relationship between human capital and output in economies around the world and demonstrate how that relationship has evolved since 1980. We show that China has made substantial strides both in the education level of its population and in the way that education is being rewarded in its labor markets. However, as we look ahead, our results imply that China may find it impossible to maintain what appears to be its desired growth rate of 7 percent in the next 20 years; a growth rate of 3 percent over the next two decades seems more plausible. Finally, we present policy recommendations, which are rooted in the belief that China continues to have substantial room to improve the human capital of its labor force.
DOI: 10.5066/p9n5lp2h
title: Historical simulated snowpack and other hydrometeorology data at 30 m for the Crown of the Continent and vicinity, United States and Canada, water years 1981-2020

description: This data release contains historical SnowModel (Liston and Elder, 2006) output for the Crown of the Continent and surrounding areas in Montana, USA; and Alberta and British Columbia, Canada from September 1, 1981 through August 31, 2020. Fifteen daily variables were simulated or derived for this release: (1) snow water equivalent (swed), (2) liquid precipitation (rpre), (3) solid precipitation (spre), (4) albedo (albd), (5) glacial ice melt (glmt), (6) total precipitation (prec), (7) runoff (roff), (8) snow covered area (sca), (9) snow density (sden), (10) snowmelt (smlt), (11) snow depth (snod), (12) snow sublimation (ssub), (13) air temperature (tair), (14) wind speed (wspd), and (15) wind direction (wdir). The simulation used to produce these outputs was conducted on a 30 m geospatial grid and was forced using meteorology from a recently completed (2023) 4 kilometer reanalysis product using the Weather Research and Forecasting (WRF) model covering the conterminous United States (CONUS404, Rasmussen and others, 2023a; 2023b). Land cover information for the simulation was provided by the 2016 National Land Cover Database (Jin and others, 2019) and 30 m elevation information was provided by the National Elevation Dataset (Gesch and others, 2018).
DOI: 10.6084/m9.figshare.24201290
title: Group Network Hawkes Process

description: In this work, we study the event occurrences of individuals interacting in a network. To characterize the dynamic interactions among the individuals, we propose a group network Hawkes process (GNHP) model whose network structure is observed and fixed. In particular, we introduce a latent group structure among individuals to account for the heterogeneous user-specific characteristics. A maximum likelihood approach is proposed to simultaneously cluster individuals in the network and estimate model parameters. A fast EM algorithm is subsequently developed by using the branching representation of the proposed GNHP model. Theoretical properties of the resulting estimators of group memberships and model parameters are investigated under both settings when the number of latent groups <i>G</i> is over-specified or correctly specified. A data-driven criterion that can consistently identify the true <i>G</i> under mild conditions is derived. Extensive simulation studies and an application to a dataset collected from Sina Weibo are used to illustrate the effectiveness of the proposed methodology. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24201290.v1
title: Group Network Hawkes Process

description: In this work, we study the event occurrences of individuals interacting in a network. To characterize the dynamic interactions among the individuals, we propose a group network Hawkes process (GNHP) model whose network structure is observed and fixed. In particular, we introduce a latent group structure among individuals to account for the heterogeneous user-specific characteristics. A maximum likelihood approach is proposed to simultaneously cluster individuals in the network and estimate model parameters. A fast EM algorithm is subsequently developed by using the branching representation of the proposed GNHP model. Theoretical properties of the resulting estimators of group memberships and model parameters are investigated under both settings when the number of latent groups <i>G</i> is over-specified or correctly specified. A data-driven criterion that can consistently identify the true <i>G</i> under mild conditions is derived. Extensive simulation studies and an application to a dataset collected from Sina Weibo are used to illustrate the effectiveness of the proposed methodology. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24645640
title: Bounding Wasserstein distance with couplings

description: Markov chain Monte Carlo (MCMC) provides asymptotically consistent estimates of intractable posterior expectations as the number of iterations tends to infinity. However, in large data applications, MCMC can be computationally expensive per iteration. This has catalyzed interest in approximating MCMC in a manner that improves computational speed per iteration but does not produce asymptotically consistent estimates. In this article, we propose estimators based on couplings of Markov chains to assess the quality of such asymptotically biased sampling methods. The estimators give empirical upper bounds of the Wasserstein distance between the limiting distribution of the asymptotically biased sampling method and the original target distribution of interest. We establish theoretical guarantees for our upper bounds and show that our estimators can remain effective in high dimensions. We apply our quality measures to stochastic gradient MCMC, variational Bayes, and Laplace approximations for tall data and to approximate MCMC for Bayesian logistic regression in 4500 dimensions and Bayesian linear regression in 50000 dimensions.
DOI: 10.6084/m9.figshare.24645640.v1
title: Bounding Wasserstein distance with couplings

description: Markov chain Monte Carlo (MCMC) provides asymptotically consistent estimates of intractable posterior expectations as the number of iterations tends to infinity. However, in large data applications, MCMC can be computationally expensive per iteration. This has catalyzed interest in approximating MCMC in a manner that improves computational speed per iteration but does not produce asymptotically consistent estimates. In this article, we propose estimators based on couplings of Markov chains to assess the quality of such asymptotically biased sampling methods. The estimators give empirical upper bounds of the Wasserstein distance between the limiting distribution of the asymptotically biased sampling method and the original target distribution of interest. We establish theoretical guarantees for our upper bounds and show that our estimators can remain effective in high dimensions. We apply our quality measures to stochastic gradient MCMC, variational Bayes, and Laplace approximations for tall data and to approximate MCMC for Bayesian logistic regression in 4500 dimensions and Bayesian linear regression in 50000 dimensions.
DOI: 10.15139/s3/p6a9yi
title: Factors and frames that shape public discourse around road user safety [R29]

description: In this study of media frames of traffic crashes, the team discovered that broadcast TV news agencies’ Facebook posts featuring the people involved in or witnessing of crash events were associated with more frequent and deeper engagement with the material on Facebook. However, not all road user groups were associated with greater public engagement with crash-featuring news agencies’ Facebook posts. Posts featuring more vulnerable road users, such as older adults, pedestrians, cyclists, and motorcyclists were associated less engagement among TV news agencies’ Facebook audiences. Further, a dominant framing of crashes in new agencies’ Facebook posts presented them as phenomena that delay motor vehicle traffic (Class 1 reporting patterns). Such framing holds the potential to orient the public’s attention away from the grim and inequitable reality of road trauma in the United States. Promisingly, however, were study findings that the employment of victim narratives and thematic frames—elements more common in Class 2 reporting patterns—was associated with more engagement with posts. This study illustrates that if the United States is to ameliorate road trauma, members of the news media, and professionals in transportation and public health can and must coordinate their actions. One place to start might be telling inspiring and pragmatic stories about how safety investments can benefit everyone and in copious ways.
DOI: 10.15139/s3/vaf0cz
title: Urban freight and road safety: Trends and innovative strategies [R30]

description: In this study we conducted a systematic review to identify last-mile delivery strategies and to determine how those strategies have been evaluated in the literature. We found 21 unique last-mile delivery strategies, assigning them to 4 meaningful categories –innovative vehicles, urban goods consolidation, technological and routing advancements in city logistics, and emerging planning tools and policies. Our analysis found that researchers had analyzed the impact of urban logistics strategies around four impact areas: operational, environmental, social, and economic considerations. We found 25 distinct evaluation criteria among these categories, six of which were high-order, or generalized criteria, and 19 of which were lower-order, or more specific criteria. Of the 21 unique last-mile delivery strategies, the most common were urban consolidation centers (UCCs) and freight bicycles. UCCs were identified by 29 articles in the sample that we analyzed. A UCC is a facility for the transshipment of goods headed for urban areas to consolidate deliveries and increase efficiency of last-mile delivery. UCCs take many forms and have many close analogues, and this diversity is likely a contributing factor to the strategy’s prominence in the literature. Another frequently cited strategy is freight bicycles. Freight bicycles can take many forms as well, being either human-powered or assisted with an electric motor. This strategy was mentioned 24 times in the literature that we analyzed. Another often-mentioned strategy was collaborative logistics. Collaborative logistics involves communication and planning between separate logistics firms to trade last-mile delivery tasks in a mutually beneficial agreement. This strategy utilizes emerging communication technology and algorithms to improve efficiency in last-mile delivery.