cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/0yge-ht33
title: Pedestrian-Vehicle Interaction in a CAV Environment: Explanatory Metrics

description: &lt;p&gt;In this study, 3400 pedestrian-motorist non-verbal interactions at such semi-controlled crosswalks were recorded by video. The crosswalk locations observed during the study underwent a conversion from one-way operation in Spring 2017 to two-way operation in Spring 2018. This offered a rare opportunity to collect and analyze data for the same location under two conditions.&lt;/p&gt;

&lt;p&gt;This research explored factors that could be associated with pedestrian crossing behavior and motorist &lt;i&gt;likelihood of decelerating&lt;/i&gt;. A mixed effects logit model and binary logistic regression were utilized to identify factors that influence the likelihood of pedestrian crossing under specific conditions. The complementary motorist models used generalized ordered logistic regression to identify factors that impact a driver&rsquo;s &lt;i&gt;likelihood of decelerating&lt;/i&gt;, which was found to be a more useful factor than &lt;i&gt;likelihood of yielding to pedestrian&lt;/i&gt;. The data showed that 56.5% of drivers slowed down or stopped for pedestrians on the one-way street. This value rose to 63.9% on the same street after it had been converted to 2-way operation. Moreover, two-way operation eliminated the effects of the presence of other vehicles on driver behavior.&lt;/p&gt;

&lt;p&gt;Also investigated were factors that could influence how long a pedestrian is likely to wait at such semi-controlled crosswalks. Two types of models were proposed to correlate pedestrian waiting time with various covariates. First, survival models were developed to analyze pedestrian wait time based on the first-event analysis. Second, multi-state Markov models were introduced to correlate the dynamic process between recurrent events. Combining the first-event and recurrent events analyses addressed the drawbacks of both methods. Findings from the before-and-after study can contribute to developing operational and control strategies to improve the level of service at such unsignalized crosswalks.&lt;/p&gt;

&lt;p&gt;The results of this study can contribute to policies and/or control strategies that will improve the efficiency of semi-controlled and similar crosswalks. This type of crosswalk is common, so the benefits of well-supported strategies could be substantial.&lt;/p&gt;
description: 3 journal articles and 3 conference articles were produced from this
project. The research from this advanced research project was disseminated to over 200 people from
industry, government, and academia.
DOI: 10.4231/95jj-bw82
title: Virtual Reality-Educational Program for Developing Business Communication Skills in Manufacturing Technician Education

description: &lt;p&gt;Advanced manufacturing and production are changing from a demand for manual laborers to skilled technicians in automation and data exchange who can communicate effectively in teams.  Recognizing the need for advanced manufacturing technicians who have the technical knowledge/skills and the soft skills to work efficiently and effectively in the changing workplace, this virtual reality (VR) simulation aims to help learners develop business communication skills through intercultural competence in a manufacturing setting. The simulation is composed of five sections including an introduction and four sequential storylines that require learners to interact and participate in the scenarios.&lt;/p&gt;

&lt;p&gt;In this educational virtual reality-based simulation, the learner will play the role of a novice technician at We Wrap &ndash; a fictional manufacturing company of printed paper products located in rural Indiana, U.S.A. This small family-owned operation has just been acquired by a large, global corporation and is currently in transition to receive the latest technology to increase automation capabilities of the plant, which presents issues, challenges, and conflicts around people management, organizational communication, and diversity. The simulation starts when the learner enters the break room just off the factory floor to engage with some of the co-workers and the We Wrap management team members.&lt;/p&gt;

&lt;p&gt;Throughout the entire simulation, the learner remains an active participant &ndash; that is, like a &ldquo;choose-your-own-adventure book&rdquo;, the choices the learner makes about what to say or do by clicking on the options presented will sometimes influence the people and events around the learner just as they would in real life. The overarching storyline is divided into several scenarios with breaks between and, during each break, the learner will be asked to reflect on their experiences and choices. Both the scenario plots and these reflections have been designed to help learners develop a number of skills, including communication and problem-solving within the context of a diverse workplace.&lt;/p&gt;

&lt;p&gt;This material is based upon work supported by the National Science Foundation under Grant Numbers 2000779 and 2000888.&lt;/p&gt;

&lt;p&gt;Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Required Equipment and Programs to Run VR Training Simulator:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;VR Headset
 &lt;ul&gt;
 &lt;li&gt;Compatible Headsets: Oculus Quest/Quest 2&lt;/li&gt;
 &lt;li&gt;VR handler/ Controller&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
&lt;/ul&gt;
description: The simulation immerses learners in a manufacturing case focusing on developing business communication skills through intercultural competence.
DOI: 10.4231/9eyz-ea71
title: Data for Impact of Returning to Class in COVID on University Students' Health

description: &lt;p&gt;This study investigated the prevalence and risk factors of mental and general health symptoms among university students attending in-person and online classes during COVID-19. We also sought to understand their experiences returning to in-person classes and their views on COVID-19-related policies. &lt;/p&gt;

&lt;p&gt;The quantitative survey, which contains three parts, was created using Qualtrics XM software to obtain participant information. The survey was distributed to university students through email chains and various social media platforms, including Facebook, Reddit, and Instagram.&lt;/p&gt;

&lt;p&gt;Part one of the survey dataset includes demographic information: age, gender, race, college, level of education, type of residence, pre-existing medical conditions, and whether the participant was taking an in-person class during the Fall 2020 semester.&lt;/p&gt;

&lt;p&gt;Part two of the survey consisted of 2 standardized and validated questionnaires: the Depression, Anxiety, and Stress Scale (DASS) and the EuroQol-5D (EQ-5D) questionnaire. Responses from variables in both questionnaires range from &ldquo;No Difficulty/No Problems&rdquo; to &ldquo;Applied to me very much/Extreme Problems,&rdquo; respectively, based on the individual&rsquo;s experiences attending school in the Fall 2020 semester.&lt;/p&gt;

&lt;p&gt;DASS is a self-administered, 21-item instrument used to assess the severity of depression, anxiety, and stress symptoms of individuals. Higher scores on each DASS scale indicate more severe levels of depression, anxiety, and stress. The EQ-5D is a five-dimension descriptive system that measures health status. It also included a visual analog scale (VAS) that measured the current health state of individuals, with a grade range from 0 to 100. &lt;/p&gt;

&lt;p&gt;Part three assessed participants&rsquo; willingness to attend a focus group discussion and their preferred email if they were selected to participate.&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt; &lt;/p&gt;
description: This dataset was gathered through a cross-sectional observational study investigating the prevalence and risk factors of mental and general health symptoms among university students attending in-person classes during COVID-19.
DOI: 10.4231/cd54-gy66
title: Modeling of Drying of Droplets Containing Passive Solid Particles in Airflow

description: &lt;p&gt;Understanding the drying of droplets is of interest for processes such as spray drying where particulate materials are produced by  evaporating moisture. This work focuses on the multi-phase modeling of drying a droplet containing passive insoluble solid particles. Using a volume-of-fluid framework coupled with a passive Lagrangian phase, we investigated the effects of airflow, phase properties (e.g., viscosity and density of each phase), surface tension, internal circulation, and nonuniform evaporation for various conditions. Unlike the traditional one-dimensional modeling approach, our multi-dimensional model can capture the generation of internal flow patterns due to shear flow and the accumulation of solid particles on the surface of the drying droplet. Our results show that the surface tension effect is more pronounced at larger droplet diameters and low airflow velocities. In addition, solids agglomeration is highly influenced by airflow and asymmetrical. In addition, the surface tension could be easily modified to be a function of other variables such as surfactant or solids concentration. Future work includes coupling the solids to the fluid phase.&lt;/p&gt;
description: A 2D/3D FVM solver to model drying of a droplet containing passive Lagrangian particles in airflow.
Includes: height function method (fully parallelized), interface mass transfer, spring-mass-damper for balancing droplet.
DOI: 10.4231/4sxf-5n11
title: Multinomial Logit models raw data for Chicago and Indianapolis

description: &lt;p&gt;This data was obtained from the National Household Survey for Chicago and Indianapolis (https://nhts.ornl.gov/). We processed this data to be able to estimate Multivariate logistic regressions. These models predict the relationships between dependent and independent variables. It calculates the probability of something happening depending on multiple sets of variables. For this project, we used this data and the modeling to understand these two cities&#39; substitution or complementing trip patterns when analyzing bike, walk, public transit, and ridesharing use (as a proxy of shared autonomous vehicles). These four modes were our independent variables. The rest of the database was used as dependent variables or factors related to the probability of choosing those four modes of transportation in Chicago and Indianapolis. &lt;/p&gt;
description: These two files contain information regarding a travel survey when respondents share travel habits and opinions regarding travel easiness. It is also the first NHTS effort to include health-related data with travel data.
DOI: 10.4231/9red-km75
title: The Impact of Erosion on Exhumation and Structural Configuration in Mountain Belts: Insights From Image Velocimetry Analysis of Coulomb Wedge Models

description: &lt;p&gt;This dataset includes Python scripts that allow for the processing of image velocimetry data of analog models, as well as videos of exhumation and fault slip data that were produced from these scripts.&lt;/p&gt;
description: Python scripts and video versions of figures from the dissertation "The Impact of Erosion on Exhumation and Structural Configuration in Mountain Belts: Insights From Image Velocimetry Analysis of Coulomb Wedge Models" by Phiala Thouvenin
DOI: 10.4231/vctk-a223
title: Heavy Fleet and Facilities Optimization: Electronic Tool for Generating Optimal Snow Routes (Python Version)

description: &lt;p&gt;The Snow Route Generation tool was developed to assist INDOT&rsquo;s winter operations personnel at the highway administrative and winter operations units to generate snow removal routes in an optimal manner, with the objective of minimizing the deadhead miles of the trucks deployed in snow removal.&lt;/p&gt;
description: The Snow Route Generation tool helps INDOT’s winter operations personnel to generate snow removal routes in an optimal manner and minimize the deadhead miles of the trucks deployed in snow removal. The manual explains how to use the SRG tool.
DOI: 10.4231/0jp3-wk59
title: Evaluation of water-deficit responses in wild-by-cultivated rice introgression lines

description: &lt;p&gt;Rice (&lt;em&gt;Oryza sativa&lt;/em&gt; L.) is a staple crop consumed globally. Increased variability in rainfall in much of the world is a predicted consequence of climate change, and drought will be a major cause for concern for rice production. One approach to mitigating water deficit stress is integrating beneficial (drought-tolerance) loci from wild rice donors into elite rice cultivars. Genetic resources, known as chromosome segment substitution lines (CSSLs) and near introgression lines (NILs), have introgressions from the wild rice genome within their genetic make-up but are otherwise genetically identical to the cultivated parent, known as the recurrent parent. For this study,  12 CSSLs and NILs were selected for having introgressions on chromosomes two and five, previously shown to be beneficial under field conditions. In the current work, these  lines were evaluated under water deficit conditions for their potential of serving as future pre-breeding material. The recurrent parents, Cybonnet and Jefferson, two U.S. cultivars adapted to the Southern Rice Belt, were additionally included in this study as controls. In total, three trials took place: two at Purdue University under controlled environments (West Lafayette, Indiana) and one in the field at the Dale Bumpers Rice Research Center (Stuttgart, Arkansas). Traits such as yield components, gas exchange, leaf water content, leaf water potential and chlorophyl fluorescence were measured during predawn and midday timepoints. Results from the three trials did not show consistent genotype rankings in yield component traits, which was expected due to the different ways in which water deficit treatments were approached (continuous water deficit application versus transient drought and recovery). While many of the CSSLs outranked Cybonnet in mean values, none were significantly different. Despite not having identified superior genotypes, the yield component, physiology, and high-throughput phenotyping datasets published here can provide the foundation to address future questions about physiological linkages and methodology development associating high-throughput data with ground-truth measurements.&lt;/p&gt;
description: Rice introgression lines were analyzed for their response to water-deficit conditions under controlled environments at Purdue University as well as a field setting in Stuttgart, Arkansas.
DOI: 10.4231/s6je-me83
title: Cooperative Control Mechanism for Platoon Formation of Connected and Autonomous Vehicles

description: &lt;p&gt;This data contains the vehicle acceleration used in the CCAT project &quot;Cooperative Control Mechanism for Platoon Formation of Connected and Autonomous Vehicles&quot;. The acceleration is extracted from the Next Generation Simulation (NGSIM) field dataset, collected on eastbound I-80 at Emeryville, San Francisco, California. The extracted acceleration is then processed to remove outliers and smoothen the acceleration profile. Remarkably, as the extracted vehicle acceleration is collected from congested traffic, it can be used to simulate vehicle movements in traffic congestion (and further investigate the mitigation strategy of traffic congestion).&lt;/p&gt;

&lt;p&gt;In the data spreadsheet, the first column (i.e., acceleration A) is the vehicle acceleration with a sampling rate of 100Hz (time step of 0.01s), while the second column  (i.e., acceleration B) is the vehicle acceleration with a sampling rate of 10Hz (time step of 0.1s).&lt;/p&gt;
description: The dataset of CCAT project "Cooperative Control Mechanism for Platoon Formation of Connected and Autonomous Vehicles"
DOI: 10.4231/4agy-ft54
title: The establishment history of three invasive anuran species across the Florida peninsula

description: &lt;p&gt;These occurrence data were downloaded from the public repositories at VertNet and USGS Nonindigenous Aquatic Species Database for Empirical Bayesian Kriging analyses. The goal of the study was to reconstruct the invasion histories of the three nonnative anurans in Florida to provide context to the routes of invasion, any new potential introduction sites, and to compare the trends of incorporated area over time since establishment. &lt;/p&gt;
description: Associated data downloaded from both VertNet and the USGS Nonindigenous Aquatic Species Database for the publication "The establishment history of three invasive anuran species across the Florida peninsula"
DOI: 10.15468/dl.d9uagg
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059525-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/qvdh-1124
title: Development of In-vehicle Information Dissemination Mechanisms to Reduce Cognitive Burden in the Information-rich Driving Environment

description: &lt;p&gt;This dataset contains the brain electrical activity patterns of 84 participants collected using an electroencephalogram (EEG) in an interactive driving simulator environment. The impacts of real-time auditory travel information characteristics (amount and content) and different time stages of interaction with information provision (before, during and after) on the frequency band powers of EEG signals in different brain regions are analyzed using linear mixed models. Study results illustrate that drivers exert more cognitive effort to perceive and process real-time information on complex routes in terms of the road environment and traffic interactions. Further, insufficient real-time travel information may evoke increased attention to internal processing and memory retrieval on routes characterized by higher travel time uncertainty. Also, driver anxiety may increase due to information recommending switch to routes with higher travel time uncertainty and complex driving environment. The study findings can aid information providers, both private and public, as well as auto manufacturers to incorporate driver cognition and psychology in designing real-time information and their delivery systems.&lt;/p&gt;
description: Processed driving simulator data collected at NEXTRANS Center, Purdue University. Data features synchronized EEG band powers around an instance of auditory travel information and contains demographic, information scenario, and trip details.
DOI: 10.4231/ne9p-hc76
title: Volume Measurement of Biological Materials in Livestock or Vehicular Settings Using Computer Vision

description: &lt;p&gt;A Velodyne Puck VLP-16 LiDAR and a Carnegie Robotics Multisense S21 stereo camera were placed in an environmental testing chamber to investigate dust and lighting effects on depth returns. The environmental testing chamber was designed and built with varied lighting conditions with corn dust plumes forming the atmosphere. Specific software employing ROS, Python, and OpenCV were written for point cloud streaming and publishing. Dust chamber results showed while dust effects were present in point clouds produced by both instruments, the stereo camera was able to &ldquo;see&rdquo; the far wall of the chamber and did not image the dust plume, unlike the LiDAR sensor. The stereo camera was also set up to measure the volume of total mixed ration (TMR) and shelled grain in various volume scenarios with mixed surface terrains. Calculations for finding actual pixel area based on depth were utilized along with a volume formula exploiting the depth capability of the stereo camera for the results. Resulting accuracy was good for a target of 8 liters of shelled corn with final values between 6.8 and 8.3 liters from three varied surface scenarios. Lessons learned from the chamber and volume measurements were applied to loading large grain vessels being filled from a 750-bushel grain cart in the form of calculating the volume of corn grain and tracking the location of the vessel in near real time. Segmentation, masking, and template matching were the primary software tools used within ROS, OpenCV, and Python. The S21 was the center hardware piece. Resulting video and images show some lag between depth and color images, dust blocking depth pixels (dust and occlusion shown in blue in companion videos), and template matching misses. However, results were sufficient to show proof of concept of tracking and volume estimation. This data repository is a companion to a dissertation of the same title. &lt;/p&gt;
description: A Velodyne Puck VLP-16 LiDAR and a Carnegie Robotics Multisense S21 stereo camera were compared for use in dusty agricultural conditions in a dust chamber. Next, the stereo camera was used for volume measurements in a feed bunk and in a grain truck.
DOI: 10.4231/sx6d-1370
title: Simulation codes and data for "Reduced modeling and global instability of finite-Reynolds-number flow in compliant rectangular channels"

description: &lt;p&gt;The zip files provided contain simulation codes, post-processing scripts, and data to make the plots in the manuscript &quot;Reduced modeling and global instability of finite-Reynolds-number flow in compliant rectangular channels&quot; by Wang &amp; Christov (2022), preprint &lt;a href="https://arxiv.org/abs/2202.11704"&gt;https://arxiv.org/abs/2202.11704&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;A python distribution is required to run the simulation codes, post-processing scripts, and notebooks. Some plots are based on analytical formulas derived in the manuscript, while others require the loading of simulation data from the numerical solution of partial differential and/or algebraic/transcendental equations. Standard methods from numpy, scipy and matplotlib are used for calculations and plotting.&lt;/p&gt;

&lt;p&gt;A &#39;readme.txt&#39; file within each zip file describes the purpose of each file therein.&lt;/p&gt;

&lt;p&gt;Inferences based on these results/plots and discussion of their meaning/implications can be found in the manuscript (available as a preprint at &lt;a href="https://arxiv.org/abs/2202.11704"&gt;https://arxiv.org/abs/2202.11704&lt;/a&gt;).&lt;/p&gt;
description: Zip files with codes and data to make the plots in the manuscript "Reduced modeling and global instability of finite-Reynolds-number flow in compliant rectangular channels" by Wang & Christov (2022).