cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15787/vtt1/ecndms
title: Developing Driver Safety Prediction Models

description: Project Description This dataset was created in support of one of the winners in the "Student Paper Competition: SHRP 2 Safety Data Bonanza" sponsored by the SHRP 2 Safety Data Program and the Transportation Research Board (TRB) Committee for Use and Oversight of SHRP 2 Safety Data, Phase 1. The data enabled the development of driver safety prediction models utilizing driver, vehicle, and trip information. The model data distribution followed the negative binomial distribution. The response variable was crash event severity, and the predictor variables involved behavioral, vehicular, and travel information. The models estimated the expected number of crashes per driver over a period of time. Data Request Scope The dataset consisted of all SHRP 2 crashes, near-crashes, and crash relevant events available within the InSight website at the time of the study, for a total of 3,593 drivers. Trip summary data was for a single year of the study, 2012. Data Specification The dataset included variables from the following InSight tables: Barkley's ADHD Screening Test Data: For variable list, please see BarkleyTestDataDictionary.pdf. Driver Demographic Questionnaire: For variable list, please see DriverDemographicDataDictionary.pdf. Driving History Questionnaire: For variable list, please see DrivingHistoryDataDictionary.pdf. Event Detail Table: For variable list, please see EventTableDataDictionary.pdf. Medical Conditions Medications: For variable list, please see MedicalConditionsDataDictionary.pdf. Sleep Habits Questionnaire: For variable list, please see SleepHabitsDataDictionary.pdf. Trip Summary Table: For variable list, please see TripSummaryDataDictionary.pdf. Vehicle Detail Table: For variable list please see VehicleTableDataDictionary.pdf.
DOI: 10.18739/a2pn4f
title: Precipitation Occurrence Sensor System measurements taken at Summit Station, Greenland, 2017
DOI: 10.18739/a2qj53
title: Beaufort Gyre Exploration Project - Mooring D 2015-2016
DOI: 10.13012/b2idb-6858418_v1
title: Targeted ballet program mitigates ataxia and improves agility in moderate-to-advanced multiple sclerosis

description: TBP assessment raw data files of pre- and post- motion capture velocity and center of pressure force plate data. Labels are self-explanatory. The .mat files refer to data exported from the force plate for the time-to-stabilization assessments while the .txt files are the data collected for smoothness of gait assessments. These files do not relate to one another and are from separate assessments. Note: there are some .txt files contain wide white space between data and the header.
DOI: 10.15787/vtt1/fwi8jp
title: Examination of Factors Determining Fault in Multi-Vehicle Crashes Using the SHRP 2 Data

description: Project Description This dataset was created in support of one of the winners in the "Student Paper Competition: SHRP 2 Safety Data Bonanza" sponsored by the SHRP 2 Safety Data Program and the Transportation Research Board (TRB) Committee for Use and Oversight of SHRP 2 Safety Data, Phase 1. The data was used to determine what driver-related factors increased the risk for crash-involvement and which types of circumstances increased the likelihood of a driver being at-fault. The dataset included both crash and near-crash events over the duration of the SHRP 2 Naturalistic Driving Study (NDS). Data Request Scope All crash and near-crash events identified by the time the study was conducted were selected, for a total of 4,246 events. Data Specification The datasets consisted of the following InSight tables: Driver Behavior Questionnaire: For the variable list please see DriverBehaviorQuestionnaireDictionary.pdf. Driver Demographic Questionnaire: For the variable list please see DriverDemographicQustionnaireDictionary.pdf. Driving History Questionnaire: For the variable list please see DrivingHistoryQustionnaireDictionary.pdf. Driving Knowledge Survey: For the variable list please see DrivingKnowledgeSurveyDictionary.pdf. Event Table: For the variable list please see EventTableDataDictionary.pdf. Post Crash Interview: For the variable list please see PostCrashDataDictionary.pdf. Risk Perception Questionnaire: For the variable list please see RiskPerceptionQuestionnaireDictionary.pdf. Risk Taking Questionnaire: For the variable list please see RiskTakingQuestionnaireDictionary.pdf. Sleep Habits Questionnaire For the variable list please see SleepHabitsQuestionnaireDictionary.pdf. Trip Summary Table: For the variable list please see TripDataDictionary.pdf. Vehicle Detail Table: For the variable list please see VehicleDetailDataDictionary.pdf.
DOI: 10.15787/vtt1/jrhqto
title: Using Naturalistic Driving Study Data to Investigate the Impact of Driver Distraction on Driver's Reaction Time in Freeway Rear-ending Events

description: Project Description This dataset was created in support of one of the winners in the "Student Paper Competition: SHRP 2 Safety Data Bonanza" sponsored by the SHRP 2 Safety Data Program and the Transportation Research Board (TRB) Committee for Use and Oversight of SHRP 2 Safety Data, Phase 1. The goal of the study that leveraged the dataset was to to investigate driver behavior associated with freeway rear-ending events including crashes and near-crashes, especially the impact of driver distraction on rear-ending crash risk. Data Request Scope This dataset consisted of event detail and time-series data for 128 events involving rear-end striking. Time-series data provided information to derive the driver's reaction time in each event. Event description data from the "Event Detail Table Data" provided distraction-related data such as distraction presence and duration. To study the relationship between driver distraction and reaction time more comprehensively, other factors that may influence driver's reaction time such as driver's age, visual obstructions, etc. were also included. Data Specification The following data elements were provided for the events of interest. Time Series: Front Video Speed Acceleration Range (for lead vehicle track) Range Rate (for lead vehicle track) Brake Pedal Status Event Table: All variables. Please see EventDataDictionary.pdf Post Crash Interview Participant ID Incident State Hour of Day Age Group Driver Gender Travel Speed Other control Devices Traffic Signal Operation Weather Condition Weather Influence Avoidance Actions Brake Use Veh Avoidance Glance Location (Prior) Tracked Distraction Source Pre-Crash Driver Activity Glance Location (Onset) Driver Awareness Driver Questionnaires Participant ID Average Annual Miles Years Driving
DOI: 10.15787/vtt1/uglz13
title: Effect and Influence of Driver, Roadway and Environment Factors to Drivers' Behavior when Vehicles Make Turn at Intersections

description: Project Description This dataset was created in support of one of the winners in the "Student Paper Competition: SHRP 2 Safety Data Bonanza" sponsored by the SHRP 2 Safety Data Program and the Transportation Research Board (TRB) Committee for Use and Oversight of SHRP 2 Safety Data, Phase 1. This dataset consisted of turning crash and near-crash events. Data Request Scope Crash and near-crash events (Left Turn, Right Turn and U-turn) were selected for a total of 398 events. Data Specification Time series data. The time series data includes: Front videos GPS Speed Vehicle Network Speed Acceleration, x-axis Acceleration, y-axis Pedal Accelerator Position Pedal, Brake Status Turn Signal Event Table: All variables. Please see EventTableDataDictionary.pdf.
DOI: 10.18739/a2bb8r
title: Hydrographic CCGS Louis S. St-Laurent Cruise CTD and Geochemistry Data 2016
DOI: 10.5066/f73r0r41
title: MCHM Degradation Data Release

description: This USGS data release includes all the data presented in peer-reviewed publication entitled "Degradation of MCHM (4-methylcyclohexanemethanol) in Sediments from Elk River, West Virginia". We conducted experiments on crude MCHM to examine photooxidation or biodegradation. We also assessed the potential of sediments to serve as a long-term source of MCHM and well as the potential for native microbial communities to catalyze the anaerobic breakdown of MCHM. We developed a quantitative method to measure the 2 isomers (cis- and trans-) of 4-MCHM, using solid phase micro-extraction (SPME), which had a minimum detection limit of 5 g/L. The data release shows that the abiotic degradation experiments showed no evidence of photooxidation or abiotic degradation over 35-days for either MCHM isomer. Experiments with sterilized Elk River sediments showed sorption within 2 weeks, with 31% of trans-4-MCHM and 17.5% of cis-4-MCHM lost from solution. Impacted sediments from the spill site released substantial concentrations of trans-4-MCHM (up to 40 g/L) and minor amounts of cis-4-MCHM (at the detection limit ~ 4 g/L) into the overlying water solution after sterilization, indicating that sediments retained MCHM 10 months after the spill. In anoxic microcosms, 300 g/L cis- and 150 g/L trans-4-MCHM degraded to non-detectable levels in 8-13 days in both impacted and background sediments coupled to iron and sulfate reduction. MCHM degraded to non-detectable levels within 4 days under aerobic conditions. Microbial communities at impacted sites differed in composition compared to background and were less affected by MCHM amendments. Our results to date indicate that MCHM is readily biodegradable under environmentally relevant conditions.
DOI: 10.5066/f7bc3wr8
title: Data for Gulf Coast Vulnerability Assessment

description: This USGS Data Release represents geospatial and tabular data for the Gulf Coast Vulnerability Assessment Project. The data release was produced in compliance with the new 'open data' requirements as way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 2 separate items: 1. Vulnerability assessment data for habitat and species based on expert opinion (Tabular datasets) 2. Vulnerability assessment values for species across subregions in study area (Vector GIS dataset)
DOI: 10.5066/f7xg9pn1
title: Cross Section Data and Pressure Transducer Location of the South Platter River near Fort Morgan, Colorado, 2017

description: The USGS Colorado Water Science Center, in cooperation with the Colorado Water Conservation Board, collected hydraulic data for the South Platte River for areas adjacent to Fort Morgan, Colo., based on the USGS streamgage 06759500 South Platte River at Fort Morgan, CO. The hydraulic data include survey point data for 54 cross sections and 10 pressure transducers, which are used to record the river stage beginning at Morgan County Road 16 and extending downstream to Morgan County Road 20.5 near Fort Morgan, Colo. The cross-section and pressure transducer location data were collected using real-time kinematic Global Navigation Satellite Systems by USGS personnel from February 15, 2017, through April 18, 2017. These data can be used to develop inundation maps, which could be available to emergency personnel, public officials, and the general public using an online public mapping application at the USGS Flood Inundation Mapper, which contains flood inundation map libraries from throughout the country created by the USGS.
DOI: 10.15787/vtt1/j0ec0f
title: Evaluation of Association between Observed Driving Speeds and the Occurrence of Crashes Using NDS data

description: Project Description This dataset includes a subset of data from the SHRP2 Naturalistic Driving Study (NDS) used to investigate the association between actual driving speeds before known crashes and at other times. Associations were evaluated for the same driver at a location where a crash occurred and similar locations where crashes did not occur, relative to the speeds of other drivers at those locations. Data Request Scope One hundred twelve speed-related crash events were selected via the following query ( InSight website ): (driverBehavior1 IN ('Exceeded speed limit', 'Exceeded safe speed but not speed limit', 'Driving slowly: below speed limit', 'Driving slowly in relation to other traffic: not below speed limit', 'Following too closely'). Roadway Information Database (RID) variables were delivered for the Link IDs associated with the crash event windows. Based on the crash location attributes, five matching baselines were delivered for each crash controlling for similar location, driver, and weather. In addition, ten random baselines were delivered for each crash controlling for location road characteristics and driver. Fifty additional baselines were provided controlling for location and time. Event table, Questionnaire data, and Time Series data were provided for all crash events of interest. Questionnaire data and Time Series data were provided for all baselines. Data Specification The RID layers used in generating location attributes included: AADT, Alignment, Intersections, Lane, Median, and Shoulder. For Event Table variables, please see: Event_Table_Data_Dictionary.pdf. For Questionnaire variables, please see: Questionnaires_DataDictionary.pdf. Time Series variables included: vtti.speed_gps, vtti.speed_network, vtti.odometer, vtti.abs, vtti.esc, vtti.tc, vtti.accel_x_fast, and vtti.airbag.
DOI: 10.15787/vtt1/qrccp5
title: Driving Behavior Analysis for Safety on Rural Two-Lane Two-Way Roads

description: Project Description This dataset was created in support of one of the winners in the "Student Paper Competition: SHRP 2 Safety Data Bonanza" sponsored by the SHRP 2 Safety Data Program and the Transportation Research Board (TRB) Committee for Use and Oversight of SHRP 2 Safety Data, Phase 1. Crash, near-crash, and baseline events were provided to enable an examination of the relationships among driver behavior, vehicle kinematic state, and road elements. Data Request Scope Two datasets were exported: Event Detail Table, Vehicle, and Participant Characteristics for 216 Crash/Near-crash events and 500 baseline events on rural two lane roads. Trip summary data for 216 Crash/Near-crash events and 500 baseline events on rural two lane two way roads. Trip summary table data Time series data and corresponding videos for selected events Data Specification For the Event Detail Table variables, please see Event_Table_Data_Dictionary.pdf For the vehicle and participant variables, please see VehicleAndParticipantDataDictionary.pdf For the trip summary table variables please see TripSummaryDataDictionary.pdf For the time series variables please see TimeSeriesDataDictionary.pdf.
DOI: 10.18739/a22v25
title: Discrete water samples collected from the Conductivity-Temperature-Depth rosette at specific depths, Northern Bering Sea to Chukchi Sea, 2016
DOI: 10.18739/a26j5f
title: “Discrete water samples collected from the Conductivity-Temperature-Depth rosette at specific depths, Northern Bering Sea to Chukchi Sea, 2016”
DOI: 10.18739/a2g206
title: Beaufort Gyre Exploration Project - Mooring A 2015-2016
DOI: 10.18739/a2kv36
title: Beaufort Gyre Exploration Project - Mooring B 2015-2016
DOI: 10.5063/f17p8wgk
title: Wetlands and drought linked to Cs. melanura abundance and infection with Eastern Equine encephalitis virus in Connecticut, USA, 2001-2014

description: This dataset contains information on the monthly mean number of Culiseta melanura individuals captured per night and monthly presence/absence of Eastern equine encephalitis virus (EEEV) in Cs. melanura pools at 97 unique mosquito surveillance sites in Connecticut. Data were collected between June and October from 2001 to 2014. These data also describe the characteristics of palustrine wetlands around each surveillance site within circular buffers with radii of 50m, 100m, 200m, 500m, 750m, 1000m, 1500m, 2000m, 3000m, 4000m, and 5000m. Wetland characteristics are derived from the US Fish and Wildlife Service National Wetlands Inventory and include the proportional area of several wetland vegetation types, the average forested wetland size, the mean number of forested wetland connections to streams, and the proportional and relative area of forested semi-permanent wetland. We also include the mean percentage of impervious surfaces within each of the above circular buffers, which is derived from the 2006 National Land Cover Database Percent Developed Impervious layer. Finally, the palmer hydrological drought index (PHDI) during and 12 months prior to mosquito surveillance are included.
DOI: 10.5281/zenodo.820146
title: Data for: Drivers and Barriers for Microservice Adoption in the German Software Industry

description: Microservices are an architectural style for software which currently receives a lot of attention in both industry and academia. Several companies employ microservice architectures with great success, and there is a wealth of blog posts praising their advantages. Especially so-called Internet-scale systems use them to satisfy their enormous scalability requirements and to rapidly deliver new features to their users.<br> However, microservices are not only popular with large, Internet-scale systems. Many traditional companies are also considering whether microservices are a viable option for their applications. However, these companies may have other motivations to employ microservices, and see other barriers which may prevent them from adopting microservices. Furthermore, these drivers and barriers may differ among industry sectors.<br> This dataset contains the questions and results of a survey on drivers and barriers for microservice adoption among professionals in the German software industry. In addition to overall drivers and barriers, we particularly focused on the use of microservices to modernize existing software, with special emphasis on implications for runtime performance and transactionality.
DOI: 10.18739/a2hv1t
title: Photogrammetric scans of aerial photographs of North American glaciers, 1988. Roll 1 thumbnails
DOI: 10.5066/f7z899m8
title: Mixtures of dissolved pesticides in 100 streams in the Midwestern U.S., 2013

description: Dissolved pesticides were measured in weekly water samples from 100 freshwater streams across eleven states in the Midwestern U.S. during May-August, 2013. A total of 182 pesticide compounds (94 pesticides and 88 degradates) were detected, with a median of 25 compounds detected per sample and 54 detected per site. Potential aquatic toxicity was evaluated using the Pesticide Toxicity Index and by comparison to U.S. Environmental Protection Agency aquatic-life benchmarks. In a screening-level assessment, about 5% of streams were predicted to have potential effects on fish and 58% potential effects on invertebrates. In 75% of streams, short-term effects on algal growth were predicted, with potential for longer-term effects on algal communities predicted in 9% of streams. A relatively small number of pesticidesthe herbicides atrazine, acetochlor, and metolachlor, the insecticides imidacloprid, fipronil, and organophosphate (OP) insecticides, and to a lesser extent, the fungicide/degradate carbendazimwere predicted to be the largest contributors to potential toxicity of pesticide mixtures. This data release provides pesticide compound concentrations, watershed characteristics, and aquatic-life benchmarks used in the analysis presented in the journal article, Pesticide mixtures and potential aquatic toxicity in a synoptic study of Midwestern U.S. streams, May-August, 2013, by Nowell, L.H., Norman, J.E., Moran, P.W., Schmidt, T., Mahler, B., Nakagaki, N., Van Metre, P.C., Shoda, M.E., Stone, W.W.
DOI: 10.5066/f798856z
title: Generalized linear models and input data for forecasting the probability of groundwater levels declining below specified low thresholds for the conterminous U.S.

description: This dataset contains model parameters and input data (.rdata files) for 258 models derived for wells in the conterminous United States. The models are generalized linear models with a binomial response variable (logistic regression) for forecasting the probability of groundwater levels declining or maintaining below specified low thresholds for any time of the year for forecast time horizons from from 1 to 12 months.
DOI: 10.5281/zenodo.820145
title: Data for: Drivers and Barriers for Microservice Adoption in the German Software Industry

description: Microservices are an architectural style for software which currently receives a lot of attention in both industry and academia. Several companies employ microservice architectures with great success, and there is a wealth of blog posts praising their advantages. Especially so-called Internet-scale systems use them to satisfy their enormous scalability requirements and to rapidly deliver new features to their users.<br> However, microservices are not only popular with large, Internet-scale systems. Many traditional companies are also considering whether microservices are a viable option for their applications. However, these companies may have other motivations to employ microservices, and see other barriers which may prevent them from adopting microservices. Furthermore, these drivers and barriers may differ among industry sectors.<br> This dataset contains the questions and results of a survey on drivers and barriers for microservice adoption among professionals in the German software industry. In addition to overall drivers and barriers, we particularly focused on the use of microservices to modernize existing software, with special emphasis on implications for runtime performance and transactionality.
DOI: 10.18739/a24n5v
title: Photogrammetric scans of aerial photographs of North American glaciers, 1988. Roll 1 tiffs
DOI: 10.18739/a2d50m
title: Methane emissions (Alaska, Canada, Sweden, Siberia) proportional to permafrost carbon thawed in Arctic lakes since the 1950s
DOI: 10.15121/1367546
title: Brine Geochemistry from Soda Geyser, Idaho

description: These brine samples are collected from the Soda Geyser (a thermal feature, temperature ~30 C) in Soda Springs, Idaho. These samples also represent the overthrust brines typical of oil and gas plays in western Wyoming. Samples were collected from the source and along the flow channel at different distances from the source. By collecting and analyzing these samples we are able to increase the density and quality of data from the western Wyoming oil and gas plays. Furthermore, the sampling approach also helped determine the systematic variation in REE concentration with the sampling distance from the source. Several geochemical processes are at work along the flow channels, such as degassing, precipitation, sorption, etc.